diff --git "a/perf-df-gptq-1xA10.csv" "b/perf-df-gptq-1xA10.csv" --- "a/perf-df-gptq-1xA10.csv" +++ "b/perf-df-gptq-1xA10.csv" @@ -1,18661 +1,3 @@ -config.name,config.backend.name,config.backend.version,config.backend._target_,config.backend.task,config.backend.library,config.backend.model_type,config.backend.model,config.backend.processor,config.backend.device,config.backend.device_ids,config.backend.seed,config.backend.inter_op_num_threads,config.backend.intra_op_num_threads,config.backend.model_kwargs.trust_remote_code,config.backend.no_weights,config.backend.device_map,config.backend.torch_dtype,config.backend.eval_mode,config.backend.to_bettertransformer,config.backend.low_cpu_mem_usage,config.backend.attn_implementation,config.backend.cache_implementation,config.backend.autocast_enabled,config.backend.autocast_dtype,config.backend.torch_compile,config.backend.torch_compile_target,config.backend.quantization_scheme,config.backend.quantization_config.bits,config.backend.quantization_config.use_exllama 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0.03695001602172852, 0.03681792068481445, 0.036959232330322264, 0.036853759765625, 0.03715686416625977, 0.037182464599609374, 0.036631553649902344, 0.036893695831298826, 0.03673088073730469, 0.0367749137878418, 0.036724735260009765, 0.03684659194946289, 0.03655680084228516, 0.036752384185791014, 0.03679743957519531, 0.036631553649902344, 0.036590591430664066, 0.03680972671508789, 0.03693471908569336, 0.03690079879760742, 0.036969470977783206, 0.03678310394287109, 0.03669504165649414, 0.037416961669921874, 0.037136383056640625, 0.03681894302368164, 0.03666131210327148, 0.036815807342529296, 0.0369172477722168, 0.03726438522338867, 0.03683430480957031, 0.03718860626220703, 0.036773887634277344, 0.03709030532836914, 0.03666022491455078, 0.03656294250488281, 0.0369172477722168, 0.0369879035949707, 0.0367011833190918, 0.03681484985351562, 0.03680460739135742, 0.036722686767578124, 0.036482048034667966, 0.03678003311157227, 0.036659198760986327, 0.03710259246826172, 0.036705280303955076, 0.03703091049194336, 0.03658649444580078, 0.03664588928222656, 0.036765697479248044, 0.03737702560424805, 0.0373831672668457, 0.03700838470458984, 0.03654860687255859, 0.036752384185791014, 0.03686809539794922, 0.036674560546875, 0.036760574340820314, 0.03706675338745117, 0.03654348754882813]",tokens/s,27.84896359943603,,,,,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpnh09osjs/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpnvyq246f/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpsl08ohna/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpfvpo9f7j/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp7mwytc3x/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.03015884780883789, 0.030006271362304687, 0.030276607513427735, 0.030046207427978516, 0.030118911743164063, 0.030084096908569335, 0.030102527618408204, 0.03003289604187012, 0.03017011260986328, 0.030075904846191406, 0.030038015365600586, 0.030225408554077147, 0.030680063247680665, 0.030262271881103517, 0.030073856353759764, 0.030110719680786133, 0.030027776718139648, 0.030212095260620117, 0.030159872055053712, 0.03021414375305176, 0.030113792419433592, 0.030123008728027343, 0.030058496475219725, 0.03017523193359375, 0.030088191986083986, 0.03021414375305176, 0.030126079559326172]",tokens/s,33.03684763559745,,,,,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp96d17r2u/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1834.614784,2786.59072,0.0,2149.5808,2147.522048,s,1,8.465982421875,8.465982421875,0.0,8.465982421875,8.465982421875,8.465982421875,8.465982421875,[8.465982421875],,kWh,1.907711803613034e-05,1.0436513430599793e-05,2.5562520449939896e-05,5.5076151916670025e-05,,MB,2011.848704,3254.255616,0.0,2598.371328,2556.089856,s,10,0.42990329742431643,0.042990329742431645,5.1066323168305595e-05,0.04299873733520508,0.04305279464721679,0.043061837768554684,0.043069072265624994,"[0.04287952041625977, 0.042952510833740236, 0.04305078506469726, 0.043001792907714845, 0.04297328186035156, 0.043008766174316405, 0.042958782196044924, 0.04299568176269531, 0.04301129531860352, 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4621.656064,6943.145984,0.0,6306.136064,6200.409088,s,1,11.854849609375,11.854849609375,0.0,11.854849609375,11.854849609375,11.854849609375,11.854849609375,[11.854849609375],,kWh,5.7746270968772884e-05,3.16304223845778e-05,7.737589523393318e-05,0.00016675258858728386,,MB,4685.398016,7714.89792,0.0,7054.819328,6713.326592,s,10,5.317607788085937,0.5317607788085937,0.015469537730947933,0.5285176696777343,0.5515005737304688,0.5598991821289062,0.5666180688476563,"[0.5354814453125, 0.5322742919921875, 0.515803466796875, 0.5194185180664063, 0.5287882080078125, 0.5282471313476562, 0.5222577514648438, 0.5174049682617188, 0.5682977905273437, 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpuavm3e9p/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpzkef93jo/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.04751769638061523, 0.047750144958496096, 0.048026622772216795, 0.04785663986206055, 0.04763955307006836, 0.047652862548828126, 0.047693824768066405, 0.04765081787109375, 0.047559680938720705, 0.047604736328125, 0.04808396911621094, 0.04760166549682617, 0.04754431915283203, 0.04760268783569336]",tokens/s,20.532855746520344,,,,,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.009124863624572753, 0.009137151718139648, 0.009135104179382325, 0.009120767593383788, 0.009185279846191406, 0.009088000297546387, 0.009142271995544434, 0.00920473575592041, 0.00914739227294922, 0.00923136043548584, 0.009178112030029297, 0.00920576000213623, 0.009120767593383788, 0.009126912117004395, 0.00914739227294922]",tokens/s,109.83209640451076,,,,,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,.,.,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: . does not appear to have a file named config.json. Checkout 'https://huggingface.co/./tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,a,a,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/a/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669475af-0c8dbe7672c4ec9d3f4eea81;93ee79d0-59d7-4c61-b0ac-98b147d72c60) - -Repository Not Found for url: https://huggingface.co/a/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: a is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 162.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 68.50 MiB is free. Process 62389 has 22.11 GiB memory in use. Of the allocated memory 21.84 GiB is allocated by PyTorch, and 32.08 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,1,1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/1/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669477ea-05bb271c60d47dd74b855628;d1a8c883-f5c6-4021-bac2-cc3ddba28178) - -Repository Not Found for url: https://huggingface.co/1/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 1 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3900, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 229, in convert_model - self._replace_by_quant_layers(model, layers_to_be_replaced) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 299, in _replace_by_quant_layers - self._replace_by_quant_layers(child, names, name + ""."" + name1 if name != """" else name1) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 299, in _replace_by_quant_layers - self._replace_by_quant_layers(child, names, name + ""."" + name1 if name != """" else name1) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 299, in _replace_by_quant_layers - self._replace_by_quant_layers(child, names, name + ""."" + name1 if name != """" else name1) - [Previous line repeated 1 more time] - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 283, in _replace_by_quant_layers - new_layer = QuantLinear( - File ""/usr/local/lib/python3.10/dist-packages/auto_gptq/nn_modules/qlinear/qlinear_exllama.py"", line 72, in __init__ - assert infeatures % self.group_size == 0 -AssertionError - -",,,,, 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0.05581414413452149, 0.0559370231628418, 0.05584384155273438, 0.05582438278198242, 0.05584588623046875, 0.05587148666381836, 0.05585203170776367, 0.055803905487060546, 0.05607219314575195, 0.05584076690673828, 0.055806976318359375, 0.055844863891601565, 0.05585919952392578, 0.05580799865722656, 0.05607731246948242, 0.055861248016357425, 0.05581619262695312, 0.05583564758300781]",tokens/s,17.601104510496405,,,,True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,8,8,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/8/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947659-3d3a5dec38f360f26272c541;488c84f1-8f12-40de-8577-158b2eb3a7e1) - -Repository Not Found for url: https://huggingface.co/8/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 8 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-4B,,cuda,0,42,,,,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,i,i,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/i/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669474e8-7b9723015dfa278a1c75687f;ab9dd5e3-32f8-4673-820c-b2e71bb6cd0b) - -Repository Not Found for url: https://huggingface.co/i/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: i is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,0,0,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/0/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947798-0e27ecd27762259027335f94;20a59bce-d568-418b-9cfb-a790214c9e53) - -Repository Not Found for url: https://huggingface.co/0/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 0 is not a local folder and is not a valid model identifier listed on 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0.020546560287475587, 0.02046463966369629, 0.020502527236938475, 0.02049228858947754, 0.02049843215942383]",tokens/s,47.52741895762616,,,,,True,main,False,False -4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,2,2,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/2/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669476e1-3ceb43ac7ddf90685f95386a;9a6493be-993d-4550-988e-9bd46147b1bc) - -Repository Not Found for url: https://huggingface.co/2/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 2 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,3920.510976,5287.44448,0.0,4640.997376,4330.799616,s,10,3.2218278198242185,0.32218278198242184,0.00047756653576010193,0.3221261444091797,0.3228639251708984,0.32291900787353517,0.32296307403564456,"[0.3223232727050781, 0.32161038208007814, 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0.29916876220703126, 0.2991974487304688, 0.29922305297851565, 0.299146240234375, 0.29922918701171874, 0.2990796813964844, 0.2992015380859375, 0.29915853881835935, 0.29912677001953125, 0.29899365234375, 0.2992353210449219, 0.29910324096679686, 0.2992015380859375, 0.2995189819335938, 0.29924966430664063, 0.2991206359863281, 0.29929779052734373, 0.2990796813964844, 0.29906329345703125, 0.29916159057617187, 0.2991278076171875, 0.29920870971679686, 0.2991708068847656, 0.29911859130859375, 0.29946676635742187, 0.29919232177734373, 0.29923941040039065, 0.2992332763671875, 0.2991329345703125, 0.29944729614257815, 0.2992957458496094, 0.2993489990234375]",tokens/s,3.2885173191969312,,,,True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947032-7e6e7f640b336cdc4201f36f;528d7dc7-566c-44e7-a31c-5c01006485bb) - -Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: google/recurrentgemma-7b is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 14.50 MiB is free. Process 98626 has 22.16 GiB memory in use. Of the allocated memory 21.80 GiB is allocated by PyTorch, and 121.66 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,t,t,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/t/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947555-76cfbf886e0c24c3793ef75c;7256b9b3-c008-47e1-8225-7da050aed701) - -Repository Not Found for url: https://huggingface.co/t/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: t is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,5973.917696,19264.96256,0.0,18618.515456,17568.553472,s,10,13.764649536132811,1.3764649536132811,0.0012577342375699305,1.3764523315429686,1.3778385620117186,1.378223907470703,1.3785321838378906,"[1.377372314453125, 1.3770921630859374, 1.3763685302734374, 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1.2375931396484374]",tokens/s,0.7956672367648763,,,,True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1349, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1142, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 868, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 781, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, 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-4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,x,x,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/x/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947686-0d54fe341a5f551d4a1f4ae2;ff474500-8dcf-4df2-b0f5-baf8fe3d1b8e) - -Repository Not Found for url: https://huggingface.co/x/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: x is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 48.50 MiB is free. Process 78559 has 22.13 GiB memory in use. Of the allocated memory 21.81 GiB is allocated by PyTorch, and 85.01 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 512.00 KiB is free. Process 82765 has 22.18 GiB memory in use. Of the allocated memory 21.85 GiB is allocated by PyTorch, and 89.04 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,r,r,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/r/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947583-7e1a58972ccaa38011782a69;50332810-f5b3-4bd1-b8ab-7917023566ea) - -Repository Not Found for url: https://huggingface.co/r/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: r is not a local folder and is not a valid model identifier listed on 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recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 31947 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 192.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 40.50 MiB is free. Process 36100 has 22.14 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 14.90 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,m,m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/m/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669472eb-48bc5af21b7c7df67be24ac8;57563f10-3036-4bd1-93b0-09a72af20a2c) - -Repository Not Found for url: https://huggingface.co/m/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: m is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 74502 has 22.16 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 42.84 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,l,l,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/l/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669475e8-5d6ca15a5b96d9fa760d1d9f;11b5bf16-ffb4-461c-828a-fe04c75d9aea) - -Repository Not Found for url: https://huggingface.co/l/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: l is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,B,B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/B/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694770d-5c578cee2d3148bb3a5be43f;79722596-3736-437c-8dc2-d197607ffce4) - -Repository Not Found for url: https://huggingface.co/B/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: B is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.289728,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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84.371140625]",tokens/s,0.7467061591257493,kWh,0.0009960811819632847,0.0005459406254329828,0.0049663336119526,0.006508355419348867,tokens/kWh,9679.864718620865,,s,629,856.0999078369142,1.3610491380555072,0.1812830872804389,1.339193359375,1.3396885986328124,1.3398347900390626,2.8647079199218752,"[1.3387735595703125, 1.338798095703125, 1.338828857421875, 1.338649658203125, 1.3390601806640625, 1.33893115234375, 1.3386219482421875, 1.3388001708984374, 1.3383956298828126, 1.3390531005859374, 1.3383782958984376, 1.339083740234375, 1.33874072265625, 1.338852294921875, 1.3385789794921874, 1.338776611328125, 1.33884619140625, 1.33890869140625, 1.3388114013671875, 1.3390673828125, 1.339135009765625, 1.339087890625, 1.339387939453125, 1.3392384033203124, 1.338987548828125, 1.3393541259765624, 1.3395517578125, 1.3389229736328125, 1.3395609130859376, 1.3392435302734376, 1.339230224609375, 1.3394185791015625, 1.339250732421875, 1.34011181640625, 1.33899365234375, 1.3395128173828126, 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-4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,M,M,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/M/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669474bf-179427da3cac7fd0111dc10f;95772b2e-bf35-4802-87fd-d9a400864aa7) - -Repository Not Found for url: https://huggingface.co/M/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: M is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch - raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") -RuntimeError: Isolated process exited with non-zero code -9 -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,01-ai/Yi-6B,,cuda,0,42,,,,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: / does not appear to have a file named config.json. Checkout 'https://huggingface.co///tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,TencentARC/Mistral_Pro_8B_v0.1,TencentARC/Mistral_Pro_8B_v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.11984281921386719, 0.11991961669921875, 0.11984793853759766]",tokens/s,8.225619752398137,,,,,True,main,False,False -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 48586 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-0.5B,,cuda,0,42,,,,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,s,s,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/s/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947354-40f4b7fc76b8ec6878c70cbf;ca00d18a-73e4-4cfe-b07a-45787bf2c052) - -Repository Not Found for url: https://huggingface.co/s/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: s is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 205, in run_text_generation_memory_tracking - _ = backend.generate(self.inputs, self.config.generate_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 454, in generate - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/tiiuae/falcon-40b/05ab2ee8d6b593bdbab17d728de5c028a7a94d83/modeling_falcon.py"", line 900, in forward - transformer_outputs = self.transformer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/tiiuae/falcon-40b/05ab2ee8d6b593bdbab17d728de5c028a7a94d83/modeling_falcon.py"", line 797, in forward - outputs = block( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/tiiuae/falcon-40b/05ab2ee8d6b593bdbab17d728de5c028a7a94d83/modeling_falcon.py"", line 453, in forward - attn_outputs = self.self_attention( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/tiiuae/falcon-40b/05ab2ee8d6b593bdbab17d728de5c028a7a94d83/modeling_falcon.py"", line 314, in forward - key_layer = torch.cat((past_key, key_layer), dim=1) -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 2.50 MiB is free. Process 111733 has 22.18 GiB memory in use. Of the allocated memory 21.82 GiB is allocated by PyTorch, and 54.29 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.01946828842163086, 0.020074527740478517]",tokens/s,49.51563257928686,,,,True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3900, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1281.970176,1017.643008,0.0,371.195904,277.410816,s,10,0.40465283584594725,0.04046528358459473,0.0012749464270020827,0.040339471817016595,0.041213354873657224,0.04256080570220947,0.04363876636505127,"[0.04390825653076172, 0.039191009521484375, 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-4bit-gptq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,-,-,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 106, in _inner_fn - validate_repo_id(arg_value) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 160, in validate_repo_id - raise HFValidationError( -huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: '-'. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 466, in cached_file - raise EnvironmentError( -OSError: Incorrect path_or_model_id: '-'. Please provide either the path to a local folder or the repo_id of a model on the Hub. - -",True,True,,, -4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/v/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947770-7cb34ef65a4068882d2d536d;8a7b24ef-add0-4894-bdb8-aae10c56e45d) - -Repository Not Found for url: https://huggingface.co/v/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: v is not a local folder and is not a valid model identifier listed on 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.006812672138214112, 0.006694911956787109, 0.006782976150512696, 0.00677785587310791, 0.006732800006866455, 0.006751232147216797, 0.006726655960083008, 0.006779903888702392, 0.006714367866516113, 0.006718463897705078, 0.006749184131622315, 0.006692863941192627, 0.0067276802062988285, 0.006873087882995605, 0.00675328016281128, 0.006743040084838867, 0.006750207901000976, 0.006780992031097412, 0.00675116777420044, 0.006751232147216797, 0.0067276802062988285, 0.006811647891998291, 0.006751232147216797, 0.006944767951965332]",tokens/s,147.75031678128153,,,,,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1139.93728,1347.944448,0.0,710.934528,695.312896,s,1,7.712400390625,7.712400390625,0.0,7.712400390625,7.712400390625,7.712400390625,7.712400390625,[7.712400390625],,kWh,1.0471813720134075e-05,5.72011121097911e-06,1.426723363606719e-05,3.0459158567180376e-05,,MB,1700.507648,1549.27104,0.0,893.386752,865.521664,s,11,0.2260224323272705,0.02054749384793368,0.0006035305648662499,0.020131647109985353,0.021381120681762695,0.021535712242126463,0.02165938549041748,"[0.021690303802490235, 0.020131647109985353, 0.020089183807373047, 0.0200817928314209, 0.021066463470458985, 0.021381120681762695, 0.020154176712036134, 0.020093631744384766, 0.020127872467041015, 0.02005830383300781, 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 162.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 68.50 MiB is free. Process 513103 has 22.11 GiB memory in use. Of the allocated memory 21.84 GiB is allocated by PyTorch, and 32.08 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,818.311168,773.3248,0.0,136.31488,130.303488,s,1,7.29306201171875,7.29306201171875,0.0,7.29306201171875,7.29306201171875,7.29306201171875,7.29306201171875,[7.29306201171875],,kWh,5.5480839104171135e-06,3.0213955770892493e-06,8.10972871001514e-06,1.6679208197521503e-05,,MB,1427.173376,855.113728,0.0,199.22944,174.868992,s,21,0.21329871940612793,0.010157081876482283,0.0003942596731385093,0.009903039932250977,0.010469152450561523,0.010583807945251465,0.011259084892272949,"[0.009810336112976074, 0.009899647712707519, 0.009893280029296875, 0.009862815856933594, 0.009842559814453125, 0.009905247688293458, 0.009903039932250977, 0.009838624000549316, 0.009848959922790527, 0.009867679595947266, 0.00988361644744873, 0.009860768318176269, 0.010583807945251465, 0.010441760063171386, 0.010469152450561523, 0.010406111717224121, 0.01142790412902832, 0.01037177562713623, 0.01040015983581543, 0.010383968353271484, 0.010397503852844239]",tokens/s,25204.089433673136,kWh,1.2069741082099443e-07,6.613281638746272e-08,2.467749675934693e-07,4.3360519480192644e-07,tokens/kWh,590398830.7080647,MB,1467.047936,867.69664,0.0,211.812352,174.871552,s,21,10.050973052978513,0.4786177644275482,0.011756658786378561,0.4796082763671875,0.49159878540039065,0.4920132446289063,0.49363206787109376,"[0.4707103576660156, 0.4660519104003906, 0.46647439575195315, 0.4647597045898437, 0.4766562194824219, 0.4647117309570313, 0.46467129516601563, 0.4646207580566406, 0.4640625305175781, 0.4669624328613281, 0.4796082763671875, 0.48326925659179687, 0.49004852294921875, 0.49048098754882813, 0.48879428100585937, 0.4940367736816406, 0.4893912658691406, 0.4908094482421875, 0.49159878540039065, 0.4920132446289063, 0.4912408752441406]",tokens/s,131.62904656360024,kWh,5.594912539178351e-06,3.06559314561361e-06,9.18228019469392e-06,1.784278587948588e-05,tokens/kWh,3530838.7616998786,,s,1323,10.042184828758224,0.007590464723173273,0.00023849490465693106,0.007696383953094482,0.007812684726715088,0.007871488094329833,0.0082410697555542,"[0.007320576190948487, 0.007372799873352051, 0.0075008001327514645, 0.0077199358940124516, 0.0074711041450500485, 0.007413760185241699, 0.007383039951324463, 0.007336959838867187, 0.007391232013702393, 0.00743833589553833, 0.007696383953094482, 0.007683072090148926, 0.007708672046661377, 0.007651328086853027, 0.007683072090148926, 0.007635968208312988, 0.007773183822631836, 0.0077209601402282715, 0.007686143875122071, 0.007396351814270019, 0.007777279853820801, 0.0074065918922424315, 0.007387135982513428, 0.007815167903900147, 0.0074926080703735356, 0.00740556812286377, 0.007365632057189942, 0.007398399829864502, 0.0073697280883789065, 0.007415808200836181, 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp10inbh_z/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.02688921546936035, 0.02711142349243164, 0.026942464828491212, 0.02696294403076172, 0.02713804817199707, 0.02694144058227539, 0.026886144638061524, 0.027340799331665038, 0.026942464828491212, 0.027066368103027344, 0.02697113609313965, 0.027073535919189453, 0.0269803524017334, 0.026991615295410155, 0.027039743423461913, 0.027039743423461913, 0.02694144058227539, 0.02696294403076172, 0.02693529510498047, 0.027044864654541017, 0.026968063354492186, 0.02697932815551758, 0.027081727981567383, 0.027039743423461913, 0.02699776077270508, 0.026986495971679687]",tokens/s,37.10494663611184,,,,,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 162.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 68.50 MiB is free. Process 510941 has 22.11 GiB memory in use. Of the allocated memory 21.84 GiB is allocated by PyTorch, and 32.08 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 162.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 68.50 MiB is free. Process 513805 has 22.11 GiB memory in use. Of the allocated memory 21.84 GiB is allocated by PyTorch, and 32.08 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,15728.61952,17537.957888,0.0,16900.947968,16558.744064,s,1,15.2641474609375,15.2641474609375,0.0,15.2641474609375,15.2641474609375,15.2641474609375,15.2641474609375,[15.2641474609375],,kWh,9.988345470209576e-05,5.471338344756444e-05,0.00014450344893601752,0.0002991002870856777,,MB,6111.604736,18068.537344,0.0,17412.653056,16967.438848,s,10,4.42345541381836,0.44234554138183596,0.00030530872014469167,0.4424207458496094,0.44263546142578125,0.44271563415527343,0.4427797723388672,"[0.4418155212402344, 0.44220834350585936, 0.4425516357421875, 0.4424349060058594, 0.4418243408203125, 0.44229129028320313, 0.44250933837890627, 0.44261764526367187, 0.4424065856933594, 0.4427958068847656]",tokens/s,578.7330854523498,kWh,5.223922384902506e-06,2.8623337202542734e-06,2.222627381965253e-05,3.031252992480931e-05,tokens/kWh,8445352.487404115,MB,6122.307584,18592.825344,0.0,17936.941056,17448.027648,s,10,30.266187499999997,3.02661875,0.002961806558179372,3.026905029296875,3.0298224853515627,3.0302508422851564,3.0305935278320315,"[3.02130517578125, 3.029548095703125, 3.027238037109375, 3.0238310546875, 3.02450048828125, 3.026572021484375, 3.02884375, 3.0239423828125, 3.03067919921875, 3.029727294921875]",tokens/s,20.815307511063295,kWh,3.5749273948014914e-05,1.9592620466923288e-05,0.00016085420597795126,0.0002161961003928895,tokens/kWh,291402.1107943722,,s,630,30.262773754119845,0.048036148816063294,0.0002581257620373014,0.04801075172424316,0.048378676223754885,0.048539956474304195,0.048792157554626465,"[0.04763852691650391, 0.04759142303466797, 0.047705089569091794, 0.04762726211547851, 0.047920127868652344, 0.04775833511352539, 0.04767129516601563, 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File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.02895359992980957, 0.028785663604736327, 0.028993535995483398, 0.028685312271118164, 0.02874982452392578, 0.02876108741760254, 0.02876518440246582, 0.028868608474731446, 0.028869632720947266, 0.028803071975708007, 0.028818431854248046, 0.02877440071105957, 0.028840959548950194, 0.02874777603149414, 0.028866559982299804, 0.028819456100463867, 0.028918783187866212, 0.028883968353271484, 0.02892083168029785, 0.028753919601440428, 0.02881331253051758, 0.028837888717651368, 0.02875801658630371, 0.028861440658569337, 0.028770303726196288, 0.028827648162841796]",tokens/s,34.52937992225775,,,,,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpx4oaxyv9/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.006813695907592773, 0.0067758078575134275, 0.006795263767242431, 0.006817791938781738, 0.006929408073425293, 0.006802432060241699, 0.0068055038452148435, 0.006780928134918213, 0.006785024166107178, 0.00684441614151001, 0.006808576107025147, 0.006813695907592773, 0.0067758078575134275, 0.006858751773834228, 0.006843391895294189, 0.006799359798431396, 0.00682700777053833, 0.006823935985565186, 0.006808576107025147, 0.006872064113616944, 0.006814720153808594, 0.006887423992156983, 0.006814720153808594, 0.00682700777053833]",tokens/s,147.93932663148266,,,,,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp6_5yhv5x/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,2053.144576,2390.228992,0.0,1753.219072,1633.407488,s,1,9.36456640625,9.36456640625,0.0,9.36456640625,9.36456640625,9.36456640625,9.36456640625,[9.36456640625],,kWh,2.9839104886104908e-05,1.6334714090379262e-05,4.088225492804298e-05,8.705607390452715e-05,,MB,1589.170176,2480.406528,0.0,1824.52224,1762.836992,s,10,0.47130422973632813,0.04713042297363281,9.394905188901918e-05,0.04712112045288086,0.04722181282043457,0.04729634647369385,0.04735597339630127,"[0.047128673553466796, 0.047113567352294924, 0.04712944030761719, 0.04708124923706054, 0.04702633666992188, 0.047370880126953126, 0.04708524703979492, 0.04703417587280274, 0.047205249786376954, 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.018601984024047852, 0.01843814468383789, 0.018397184371948243, 0.01840947151184082, 0.0183767032623291, 0.01843609619140625, 0.018469888687133788, 0.01827123260498047, 0.018290687561035156, 0.018379776000976563, 0.01836031913757324, 0.01840127944946289, 0.01841766357421875, 0.01838489532470703, 0.01843302345275879, 0.01841868782043457, 0.018535423278808593, 0.018505727767944336, 0.018530303955078126, 0.018381824493408205, 0.018378751754760742, 0.018449407577514648, 0.018469888687133788, 0.018461696624755858, 0.018479103088378905, 0.018324480056762696, 0.018366464614868162, 0.01840640068054199, 0.018340864181518556, 0.018532352447509767, 0.018349056243896485, 0.018388992309570314, 0.018534400939941405, 0.01841971206665039, 0.018314239501953124, 0.01841152000427246, 0.018551807403564453, 0.018338815689086914, 0.018353151321411132, 0.01823641586303711, 0.018191360473632814, 0.018358272552490236, 0.018358272552490236, 0.018335744857788085, 0.01848422431945801, 0.018327552795410155, 0.018366464614868162, 0.018311168670654295, 0.01842995262145996, 0.018328575134277342, 0.018296831130981444, 0.01836851119995117, 0.018515968322753908, 0.018331647872924805, 0.01846886444091797, 0.018495487213134765, 0.018356224060058594, 0.018325504302978517, 0.018310144424438478, 0.018323455810546875, 0.01827123260498047, 0.01841766357421875, 0.01826918411254883, 0.018490367889404297, 0.018266111373901366, 0.018380800247192384, 0.018539520263671876, 0.01846067237854004, 0.0183767032623291, 0.018343936920166014, 0.018395135879516602, 0.019140607833862306, 0.018990079879760743, 0.018357248306274415, 0.01839206314086914, 0.018421760559082033, 0.018364416122436524, 0.018365440368652345, 0.018564096450805666, 0.01843302345275879, 0.018380800247192384, 0.018330623626708984, 0.018354175567626953, 0.018329599380493163, 0.01840742492675781, 0.0184586238861084, 0.01836031913757324, 0.018473983764648438, 0.01840742492675781, 0.018391040802001952, 0.018338815689086914, 0.01836031913757324, 0.018379776000976563, 0.018421760559082033, 0.01840947151184082, 0.018550783157348632, 0.018316287994384766, 0.018337791442871093, 0.018314239501953124, 0.018312192916870116, 0.018348031997680665, 0.0184586238861084, 0.018472959518432617, 0.01842995262145996, 0.01846272087097168, 0.018295808792114256, 0.018336767196655272, 0.01841663932800293, 0.018323455810546875, 0.018351104736328124, 0.018322431564331054, 0.018412544250488282, 0.018358272552490236, 0.018349056243896485, 0.018340864181518556, 0.018355199813842774, 0.018336767196655272, 0.018328575134277342, 0.018310144424438478]",tokens/s,54.19776897354785,,,,,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp_0vkpxb4/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpjvoke09k/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3004.686336,3872.915456,0.0,3235.905536,3224.4864,s,1,11.0912265625,11.0912265625,0.0,11.0912265625,11.0912265625,11.0912265625,11.0912265625,[11.0912265625],,kWh,4.9777373788871655e-05,2.7263083359191602e-05,6.648116429608386e-05,0.00014352162144414712,,MB,2915.876864,4172.808192,0.0,3516.923904,3470.176256,s,10,0.7915817489624024,0.07915817489624025,0.00026638782891144283,0.07913504028320312,0.07944400100708007,0.07958195152282715,0.07969231193542481,"[0.07881676483154297, 0.07916006469726562, 0.07904236602783203, 0.07934022521972656, 0.07911001586914063, 0.07882780456542969, 0.078932861328125, 0.07941334533691406, 0.07921839904785156, 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.007809023857116699, 0.007742464065551758, 0.007701504230499268, 0.007785535812377929, 0.007836607933044434, 0.007738368034362793, 0.007713791847229004, 0.007748608112335205, 0.007699456214904785, 0.007733248233795166, 0.007684095859527588, 0.0076902399063110355, 0.007702527999877929]",tokens/s,127.91793821586795,,,,,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.021841920852661133, 0.02189516830444336, 0.021811199188232423, 0.02227097511291504, 0.022796287536621093, 0.022619136810302733, 0.021768192291259765, 0.02185420799255371, 0.0218470401763916, 0.021959680557250977, 0.021949440002441405, 0.02186342430114746, 0.021906431198120118, 0.0218470401763916, 0.021808128356933593, 0.02192793655395508, 0.021789695739746092, 0.02191257667541504, 0.02184806442260742, 0.02208051109313965, 0.02193715286254883, 0.021824512481689453, 0.022179840087890625, 0.0222740478515625, 0.021788671493530275, 0.02190336036682129, 0.021954559326171876, 0.021810176849365235]",tokens/s,45.358240746553065,,,,,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 162.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 68.50 MiB is free. Process 511646 has 22.11 GiB memory in use. Of the allocated memory 21.84 GiB is allocated by PyTorch, and 32.08 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1556, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1647, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpp00c36yu/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4400.328704,4942.462976,0.0,4305.453056,4304.491008,s,1,10.6407470703125,10.6407470703125,0.0,10.6407470703125,10.6407470703125,10.6407470703125,10.6407470703125,[10.6407470703125],,kWh,4.2609400383327693e-05,2.3334272290511316e-05,5.976588114600667e-05,0.00012570955381984567,,MB,4395.4176,5068.292096,0.0,4412.407808,4373.842432,s,10,1.115221176147461,0.1115221176147461,7.793134193707862e-05,0.11150279998779297,0.11164997863769531,0.11165025329589844,0.11165047302246094,"[0.11165052795410156, 0.11141788482666015, 0.11148403167724609, 0.11145619201660156, 0.11146083068847656, 0.11158972930908204, 0.11152243041992188, 0.11164991760253906, 0.11152156829833984, 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-4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: DeciLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa - raise ValueError( -ValueError: DeciLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4399.734784,4942.462976,0.0,4305.453056,4304.491008,s,1,11.718171875,11.718171875,0.0,11.718171875,11.718171875,11.718171875,11.718171875,[11.718171875],,kWh,4.2158714552082683e-05,2.3063417354968313e-05,5.869949140399622e-05,0.0001239216233110472,,MB,4395.610112,5068.292096,0.0,4412.407808,4373.842432,s,10,1.1151547927856447,0.11151547927856445,5.9018199646312574e-05,0.11152392196655272,0.11157972946166991,0.11158485527038574,0.1115889559173584,"[0.11150572967529297, 0.11158998107910156, 0.11148925018310547, 0.11141718292236329, 0.11141059112548828, 0.11154998779296875, 0.11152496337890624, 0.11152288055419922, 0.1115785903930664, 0.11156563568115234]",tokens/s,2295.645426591539,kWh,1.3172468503239825e-06,7.217442867145094e-07,5.407306794977868e-06,7.4462979320163595e-06,tokens/kWh,34379500.03306926,MB,4399.570944,5082.97216,0.0,4429.185024,4373.844992,s,10,16.552843505859375,1.6552843505859376,0.008224429711793949,1.6575530395507814,1.6647305297851562,1.6656437683105467,1.6663743591308593,"[1.65931298828125, 1.64257763671875, 1.657259765625, 1.6517125244140625, 1.6665570068359374, 1.6578463134765624, 1.6487264404296875, 1.662173583984375, 1.664527587890625, 1.642149658203125]",tokens/s,38.059926065089215,kWh,1.920799340696827e-05,1.0525917669863008e-05,5.4813324714821856e-05,8.454723579165315e-05,tokens/kWh,745145.5912201405,,s,630,16.5503273010254,0.026270360795278398,0.0005805273467783384,0.026404351234436036,0.026793266487121582,0.0270541823387146,0.027953233699798585,"[0.025619455337524414, 0.025325567245483398, 0.02550067138671875, 0.025849855422973633, 0.026025983810424806, 0.027026432037353516, 0.026984447479248046, 0.02655948829650879, 0.026454015731811522, 0.026504192352294922, 0.026463232040405273, 0.026572799682617186, 0.02634137535095215, 0.026373119354248048, 0.026479616165161132, 0.02636390495300293, 0.02655539131164551, 0.026481695175170898, 0.026488800048828125, 0.02656972885131836, 0.026861568450927735, 0.026389503479003908, 0.026466304779052735, 0.026256383895874022, 0.02655948829650879, 0.026438655853271483, 0.02692198371887207, 0.026498048782348634, 0.02632601547241211, 0.026447872161865234, 0.025463808059692384, 0.028177408218383788, 0.027053056716918947, 0.026677248001098632, 0.02637824058532715, 0.026480640411376953, 0.026460159301757814, 0.026431488037109374, 0.02654207992553711, 0.026430463790893553, 0.02632294464111328, 0.026389503479003908, 0.026408960342407226, 0.026391551971435546, 0.02634035110473633, 0.026281984329223632, 0.02612838363647461, 0.02532659149169922, 0.025422847747802735, 0.025548799514770508, 0.025457664489746092, 0.02553036880493164, 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,.,.,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: . does not appear to have a file named config.json. Checkout 'https://huggingface.co/./tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,a,a,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/a/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669475df-6a23622f73b94c8d1eb9c374;7383a8b3-d090-46f7-b414-7d3d5c8d30ac) - -Repository Not Found for url: https://huggingface.co/a/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: a is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 162.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 68.50 MiB is free. Process 65111 has 22.11 GiB memory in use. Of the allocated memory 21.84 GiB is allocated by PyTorch, and 32.08 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,1,1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/1/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947827-265eef1f129d922e74619ed6;c88f8c2c-9f8c-4325-8024-406e07593569) - -Repository Not Found for url: https://huggingface.co/1/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 1 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: FalconForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpabdk5_4m/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.289728,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.27805902099609375, 0.278086669921875, 0.2780498046875, 0.2779084777832031, 0.278076416015625, 0.27807437133789065, 0.27802520751953125, 0.2778480529785156, 0.2780989379882812, 0.2781051025390625, 0.2780712890625, 0.278044677734375, 0.27825665283203127, 0.2782033996582031, 0.27797607421875, 0.2780569458007813, 0.27826791381835936, 0.2781317138671875, 0.27831808471679687, 0.27803750610351563, 0.27817062377929686, 0.2781214599609375, 0.27823513793945315, 0.2780989379882812, 0.2782003173828125, 0.27824844360351564, 0.2781337585449219, 0.27802215576171874, 0.27807437133789065, 0.27814501953125, 0.27820645141601563, 0.2780979309082031, 0.27818597412109375, 0.2781695861816406, 0.27815731811523436, 0.27800372314453126, 0.27832525634765626, 0.27814093017578123, 0.27812762451171874, 0.2781757507324219, 0.27833242797851565, 0.27819110107421874, 0.2783999938964844, 0.27811431884765625, 0.2782023620605469, 0.2781941833496094, 0.27828839111328124, 0.2781317138671875, 0.27836517333984373, 0.27819622802734373, 0.27817984008789065, 0.27813784790039064, 0.27834573364257814, 0.27821978759765625, 0.2783170471191406, 0.278245361328125]",tokens/s,3.5367702572766255,,,,True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: FalconForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpfevdx8fh/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,8,8,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/8/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694767e-6b25197b7762651f41b6f220;e0215042-6538-4168-a15d-c5271fca1c3b) - -Repository Not Found for url: https://huggingface.co/8/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 8 is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,i,i,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/i/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694750c-02ee5ebe4b0b380c5a697e30;0683d816-68df-4493-8dbb-90fd6b13a215) - -Repository Not Found for url: https://huggingface.co/i/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: i is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Deci/DeciLM-7B,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp9ru0m__x/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/gpt-j-6b,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,0,0,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/0/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669477ba-56d7f14c01beef901111c02e;5effb1f7-8f89-476f-a9bf-568d7568aea2) - -Repository Not Found for url: https://huggingface.co/0/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 0 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/gpt-neo-125m,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.019091392517089845, 0.019186687469482423, 0.019256383895874023]",tokens/s,48.94720490925047,,,,,True,main,False,False -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,2,2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/2/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947704-3e511b6f6d9a08dc21cd5001;7ca7466c-e12d-4a99-ad09-c48624463b6a) - -Repository Not Found for url: https://huggingface.co/2/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 2 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpbiasqtmp/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,4118.8352,5287.44448,0.0,4640.997376,4330.668544,s,10,3.199770599365234,0.3199770599365234,0.0010987871136328136,0.319611572265625,0.3212721221923828,0.3214572280883789,0.32160531280517574,"[0.3186963195800781, 0.321642333984375, 0.31907034301757814, 0.3192275390625, 0.31931597900390624, 0.31859243774414064, 0.3199071655273438, 0.3208581237792969, 0.3212293701171875, 0.3212309875488281]",tokens/s,800.0573542702871,kWh,3.7597384252068075e-06,2.0601344561157475e-06,1.9058834691498827e-05,2.487870757282138e-05,tokens/kWh,10289923.5923198,MB,4118.8352,5287.44448,0.0,4640.997376,4515.667456,s,10,175.24812890625003,17.524812890625004,0.001692349576365435,17.524873046875,17.52657421875,17.526934570312502,17.527222851562502,"[17.526490234375, 17.52201953125, 17.52540625, 17.523869140625, 17.526494140625, 17.5229296875, 17.52605078125, 17.52433984375, 17.527294921875, 17.523234375]",tokens/s,3.5949028610572045,kWh,0.0002069262282188154,0.00011341282225046485,0.0010168423551399131,0.0013371814056091932,tokens/kWh,47114.02636600264,,s,629,177.8505667419435,0.2827512984768575,0.03806059605802491,0.2781583251953125,0.2783428588867187,0.27845591430664063,0.5976819677734375,"[0.27871743774414065, 0.27800677490234377, 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch - raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") -RuntimeError: Isolated process exited with non-zero code -9 -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/gpt-neo-1.3B,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947054-2e3aeb936c0f44c767b87820;2f7e5447-d11d-4695-a209-e308fc4af938) - -Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: google/recurrentgemma-7b is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 14.50 MiB is free. Process 101646 has 22.16 GiB memory in use. Of the allocated memory 21.80 GiB is allocated by PyTorch, and 121.66 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,t,t,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/t/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694757c-42948edb0a41e8681cd13846;0bb5dbc6-86b8-4b3b-8f3a-18f425743497) - -Repository Not Found for url: https://huggingface.co/t/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: t is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,5920.48128,19264.96256,0.0,18618.515456,17568.4224,s,10,13.636250732421875,1.3636250732421875,0.0013911200373048066,1.3632360229492186,1.36526396484375,1.3655646606445313,1.3658052172851562,"[1.3619588623046874, 1.3658653564453125, 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1349, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1142, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 868, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 781, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,x,x,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/x/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669476aa-737f3f6f52beeb7762b5ebf2;fa261480-5424-4349-a68c-a0ea8474e926) - -Repository Not Found for url: https://huggingface.co/x/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: x is not a local folder and is not a valid model identifier listed on 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0.47715411376953126, 0.4773570556640625, 0.4776089477539063, 0.47766937255859376, 0.4778547058105469, 0.4774912109375, 0.4777461853027344, 0.4776632385253906, 0.4773990478515625, 0.4776519775390625, 0.477380615234375, 0.47761920166015626, 0.47765914916992186, 0.47795724487304686, 0.47790374755859377, 0.4778649597167969, 0.4778547058105469, 0.47761715698242185, 0.4777062377929687, 0.47875994873046873, 0.47772064208984377, 0.477550537109375, 0.47771136474609377, 0.47774822998046873, 0.478095458984375, 0.47826422119140627, 0.47803289794921877, 0.47824691772460937, 0.4780789794921875, 0.47788134765625, 0.4779304809570312, 0.4780533752441406, 0.4778608703613281, 0.47784344482421875, 0.47795404052734375, 0.4779151306152344, 0.47803289794921877, 0.4779653015136719, 0.4778741760253906, 0.47779327392578125, 0.4780544128417969, 0.47779531860351565, 0.47779736328125, 0.47803903198242187, 0.47809432983398437, 0.4780124206542969, 0.47831552124023435, 0.4780615539550781, 0.4786083984375, 0.4782294921875, 0.47821823120117185, 0.47770111083984373, 0.4782643127441406, 0.47802880859375, 0.4779294738769531, 0.4779007873535156]",tokens/s,2.060370211756365,,,,,True,main,False,False -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpk6mzx480/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpsy_tojb3/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-14B,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.214-202.855.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 48.50 MiB is free. Process 82070 has 22.13 GiB memory in use. Of the allocated memory 21.81 GiB is allocated by PyTorch, and 85.01 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 512.00 KiB is free. Process 97909 has 22.18 GiB memory in use. Of the allocated memory 21.85 GiB is allocated by PyTorch, and 89.04 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,r,r,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/r/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669475a7-3d0a2266724477561da1d1f2;5d4fdab3-c56d-43df-b682-7d32cd82c5ae) - -Repository Not Found for url: https://huggingface.co/r/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: r is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,2101.9648,5971.116032,0.0,5324.668928,5080.87552,s,10,3.1623598327636717,0.31623598327636715,0.00024235336102111678,0.3162159729003906,0.3165054656982422,0.31660202178955077,0.31667926666259766,"[0.31669857788085937, 0.3162686462402344, 0.3164840087890625, 0.31633709716796876, 0.3158043518066406, 0.31612255859375, 0.3161309814453125, 0.3161632995605469, 0.31597808837890623, 0.31637222290039063]",tokens/s,809.5220453653268,kWh,3.7342462792164754e-06,2.046175760932556e-06,1.8911707837687697e-05,2.4692129877836726e-05,tokens/kWh,10367675.905908046,MB,2101.9648,5971.116032,0.0,5324.668928,5290.117632,s,10,173.26880078125,17.326880078125,0.0008046980240511191,17.3267978515625,17.327645117187497,17.32819267578125,17.32863072265625,"[17.3270703125, 17.32675, 17.326052734375, 17.327296875, 17.3275234375, 17.32606640625, 17.3265234375, 17.325931640625, 17.326845703125, 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0.27538534545898435, 0.2750556030273438, 0.27517745971679686, 0.2751447143554687, 0.2751426696777344]",tokens/s,3.577128811041278,,,,True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 35456 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 192.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 40.50 MiB is free. Process 40309 has 22.14 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 14.90 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpzaix9k6f/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,m,m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/m/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947314-33adfa5b2a5eedb1203075b2;5f2fc814-b047-4b03-ab81-a2d94c473f80) - -Repository Not Found for url: https://huggingface.co/m/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: m is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 77916 has 22.16 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 42.84 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,l,l,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/l/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947611-60b2ef1b3277537b55cd2d64;665a5f50-3276-4529-954e-f2f6e6d21101) - -Repository Not Found for url: https://huggingface.co/l/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: l is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,B,B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/B/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694773c-7797e6b74801ed5e59eabf1c;d2db6bda-46b5-4df6-9355-dd7f3a0f4c3e) - -Repository Not Found for url: https://huggingface.co/B/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: B is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.289728,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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84.3247578125]",tokens/s,0.7471530979238362,kWh,0.0009954719761345121,0.0005456061127628717,0.004957476271533412,0.006498554360430795,tokens/kWh,9694.463800072555,,s,629,855.4948258056643,1.3600871634430272,0.18007572794249377,1.3383751220703124,1.3387724609375,1.3389057861328126,2.8532786425781254,"[1.338408935546875, 1.3382952880859376, 1.3382799072265625, 1.3378038330078126, 1.3383720703125, 1.338208251953125, 1.337818115234375, 1.338134521484375, 1.33815087890625, 1.33843359375, 1.3378876953125, 1.338133544921875, 1.3382154541015625, 1.3384847412109375, 1.338287109375, 1.3384273681640626, 1.33821435546875, 1.3383331298828125, 1.3380341796875, 1.3383853759765625, 1.33846533203125, 1.3385062255859375, 1.3383414306640624, 1.33819287109375, 1.3382645263671875, 1.3382103271484376, 1.3385860595703125, 1.3384119873046876, 1.3394278564453126, 1.3383515625, 1.3385584716796874, 1.3384366455078125, 1.3384437255859376, 1.3385277099609374, 1.33871923828125, 1.3382799072265625, 1.33827587890625, 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0.29151028442382815, 0.29141094970703124, 0.2911375427246094, 0.29108944702148437, 0.290989013671875, 0.29102694702148435, 0.29118875122070315, 0.2913966064453125, 0.2912143249511719, 0.2912030944824219, 0.2909511413574219, 0.29100851440429687, 0.290956298828125, 0.2911313781738281, 0.29113958740234375, 0.29146829223632814, 0.29121636962890624, 0.291093505859375, 0.29149798583984377, 0.2911119689941406, 0.291536865234375, 0.29114675903320314, 0.2909624328613281, 0.2908794860839844, 0.2909542541503906, 0.29093582153320313, 0.29088870239257814, 0.29089181518554685, 0.29084463500976565, 0.29150106811523435, 0.29094400024414063, 0.29157684326171873, 0.2909276123046875]",tokens/s,3.3779754527165613,,,,,True,main,False,False -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,M,M,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/M/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669474e1-5f012c10715a849c6e3a011b;945553ff-0096-4c21-9fe6-e744c4511aab) - -Repository Not Found for url: https://huggingface.co/M/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: M is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpmkho3j3_/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/gpt-neox-20b,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch - raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") -RuntimeError: Isolated process exited with non-zero code -9 -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,01-ai/Yi-6B,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: / does not appear to have a file named config.json. Checkout 'https://huggingface.co///tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,TencentARC/Mistral_Pro_8B_v0.1,TencentARC/Mistral_Pro_8B_v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.11356569671630859, 0.11357798767089844, 0.11360870361328125]",tokens/s,8.674018039612477,,,,,True,main,False,False -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 52044 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,s,s,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/s/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694737c-4a30b1da01f89b2222616a27;44c80fb5-0ab3-4e93-a5bb-fa7dd4db4b9c) - -Repository Not Found for url: https://huggingface.co/s/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: s is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: FalconForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpovwa4suk/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3900, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1269.682176,1019.74016,0.0,373.293056,277.410816,s,10,0.37923129653930665,0.037923129653930666,0.0012152886645715089,0.038048974990844725,0.038519168853759764,0.0396308479309082,0.04052019119262695,"[0.04074252700805664, 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,-,-,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 106, in _inner_fn - validate_repo_id(arg_value) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 160, in validate_repo_id - raise HFValidationError( -huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: '-'. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 466, in cached_file - raise EnvironmentError( -OSError: Incorrect path_or_model_id: '-'. Please provide either the path to a local folder or the repo_id of a model on the Hub. - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,2304.897024,9284.616192,0.0,8638.169088,8363.057664,s,10,5.4696609497070305,0.546966094970703,0.00026571478623493513,0.5469190979003906,0.5471485473632812,0.5474143615722655,0.547627012939453,"[0.54768017578125, 0.5469967651367188, 0.5468720703125, 0.5467206420898437, 0.546713623046875, 0.5469843139648437, 0.5467656860351563, 0.5469524536132813, 0.5468857421875, 0.5470894775390625]",tokens/s,468.0363231905847,kWh,6.463938332789126e-06,3.5419634764510097e-06,3.1025127159262966e-05,4.10310289685031e-05,tokens/kWh,6239180.601503191,MB,2304.897024,9286.713344,0.0,8640.26624,8449.784832,s,10,300.686626953125,30.068662695312497,0.001938275591754961,30.0688994140625,30.070876953125,30.0713427734375,30.0717154296875,"[30.06776953125, 30.0688515625, 30.067740234375, 30.064150390625, 30.068947265625, 30.068103515625, 30.0707734375, 30.07180859375, 30.0690078125, 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0.4772915344238281, 0.4772341613769531, 0.47730078125, 0.4772505187988281]",tokens/s,2.0614072268964168,,,,True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,v,v,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/v/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947791-241d537d77e1c8ec1ce179a3;23c0be4b-c6e8-4ec7-bcdb-fec18408dad8) - -Repository Not Found for url: https://huggingface.co/v/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: v is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/polyglot-ko-12.8b,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp52zgzge2/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/pythia-410m,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.033242111206054685, 0.03269734573364258, 0.03250175857543945, 0.03204403305053711, 0.032350208282470705, 0.03232665634155273, 0.03310079956054687, 0.0343111686706543, 0.03303936004638672, 0.03211673736572265, 0.03218022537231445, 0.03226419067382812, 0.03240755081176758, 0.03204915237426758, 0.03132825660705566, 0.030612480163574218, 0.03074764823913574, 0.03098111915588379, 0.03096780776977539, 0.03095347213745117, 0.03116851234436035, 0.031045631408691408, 0.03094937515258789, 0.03096063995361328, 0.030930944442749023, 0.031031295776367186, 0.031015935897827147, 0.03132620811462403, 0.03105996894836426, 0.03097088050842285, 0.031335424423217774, 0.03136409568786621, 0.03243724822998047, 0.032261119842529294, 0.03244236755371094, 0.031095808029174804, 0.031124479293823244, 0.03095347213745117, 0.03222016143798828, 0.03230003356933594, 0.03220479965209961, 0.032249855041503905, 0.03221811294555664, 0.031014911651611327, 0.031053823471069338, 0.03097702407836914, 0.03095961570739746, 0.031078399658203124, 0.03095961570739746, 0.030940160751342774, 0.030942207336425782, 0.03139993667602539, 0.031082496643066407, 0.031015935897827147, 0.03095142364501953, 0.031058944702148438, 0.031061023712158204, 0.031118303298950194, 0.03104256057739258, 0.03153305625915527, 0.03279257583618164, 0.032350208282470705, 0.03227545547485351, 0.03218227386474609, 0.03216896057128906, 0.03220991897583008, 0.03226931381225586, 0.031058944702148438, 0.031066112518310547, 0.030908416748046875, 0.030880767822265624, 0.030882816314697265, 0.030926847457885744, 0.032146430969238284, 0.031491071701049804, 0.031172607421875, 0.03094118309020996, 0.030925823211669923, 0.030947328567504883, 0.03160883140563965, 0.031047679901123046, 0.03105996894836426, 0.031247360229492187, 0.03235635375976562, 0.0310118408203125, 0.030929920196533203, 0.03102720069885254, 0.031212543487548827, 0.031116287231445314, 0.0310435848236084, 0.031049728393554688, 0.03119513511657715, 0.03191296005249023, 0.03131391906738281, 0.030993408203125, 0.031014911651611327, 0.030921728134155273, 0.03099443244934082, 0.03094937515258789, 0.03118182373046875, 0.031006719589233397, 0.03105075263977051, 0.030999551773071288, 0.031024127960205077, 0.031073280334472656, 0.03098419189453125, 0.030948352813720704, 0.031058944702148438, 0.03095244789123535, 0.031080448150634765, 0.03097088050842285, 0.031139839172363282, 0.031106048583984375, 0.031096864700317382, 0.031062015533447264]",tokens/s,31.401887056279442,,,,,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,.,.,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: . does not appear to have a file named config.json. Checkout 'https://huggingface.co/./tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,a,a,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/a/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669475cc-14aadc291405d57749b28ed3;0889ece3-5fd5-4406-8fcf-006ed12c116a) - -Repository Not Found for url: https://huggingface.co/a/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: a is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 162.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 68.50 MiB is free. Process 64475 has 22.11 GiB memory in use. Of the allocated memory 21.84 GiB is allocated by PyTorch, and 32.08 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.11356057739257812, 0.11375308990478515, 0.11355238342285157, 0.11393843078613282, 0.11382988739013672, 0.11391795349121094, 0.11353804779052734, 0.11381964874267578, 0.11361484527587891, 0.1138001937866211, 0.11391078186035156, 0.11409613037109376, 0.1135810546875, 0.1139210205078125, 0.11367424011230469, 0.11384012603759766, 0.11361177825927735, 0.11383296203613281, 0.11358515167236329, 0.11383500671386719, 0.11362406158447266, 0.113797119140625, 0.11396403503417969, 0.1142138900756836]",tokens/s,8.649021713677122,,,,,True,main,False,False -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,1,1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/1/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694781f-4c3ea5fc2e436a2b6514c657;c8eefd9f-08d1-4bba-a288-30018ecd556e) - -Repository Not Found for url: https://huggingface.co/1/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 1 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: FalconForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpnynddvki/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.289728,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.2782771301269531, 0.27810714721679686, 0.2782115783691406, 0.2782771301269531]",tokens/s,3.537280688447406,,,,True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: FalconForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp5pwnwcxc/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,8,8,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/8/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947678-3b05e71f3b0e241f4eb927b6;4324c138-34b8-4696-ab23-27edca75aed2) - -Repository Not Found for url: https://huggingface.co/8/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 8 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-4B,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,i,i,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/i/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947505-428435f823ffa53a633f9cee;4126e6e7-8f91-4ea9-9955-9e4ce57bea12) - -Repository Not Found for url: https://huggingface.co/i/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: i is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpldsm803s/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/gpt-j-6b,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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1.3272894287109376, 1.3268509521484375, 1.326709716796875, 1.3268643798828126, 1.32552294921875, 1.3255936279296876, 1.3254072265625, 1.3258834228515626, 1.32596533203125, 1.326349365234375, 1.3258465576171874, 1.325632568359375, 1.32613330078125, 1.32647119140625, 1.3265008544921875, 1.3273128662109375]",tokens/s,0.7419678943426848,,,,True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,0,0,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/0/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669477b4-4c0dc641175f0e1938f44553;e1fc686a-dd05-4f34-bcea-f34979e1f2fa) - -Repository Not Found for url: https://huggingface.co/0/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 0 is not a local folder and is not a valid model identifier listed on 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0.019019744873046876, 0.01905254364013672, 0.01904640007019043]",tokens/s,51.507860242168796,,,,,True,main,False,False -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,2,2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/2/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669476fd-4c82b2022e407bfd2f809c76;f9f094d3-0d9b-4eff-8d26-f57babe36251) - -Repository Not Found for url: https://huggingface.co/2/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 2 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp94zgiozs/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,4121.735168,5287.44448,0.0,4640.997376,4330.668544,s,10,3.198084777832031,0.31980847778320315,0.0010057411852906616,0.319394287109375,0.3211364044189453,0.3213161270141602,0.321459905090332,"[0.3186761779785156, 0.321495849609375, 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""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch - raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") -RuntimeError: Isolated process exited with non-zero code -9 -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/gpt-neo-1.3B,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.3114403991699219, 0.31136358642578127, 0.3114014587402344, 0.3113512878417969, 0.31128167724609374, 0.3113697509765625, 0.31135638427734375, 0.31134515380859373, 0.3115069580078125, 0.3115048828125, 0.31214797973632813, 0.31165338134765624, 0.31144549560546875, 0.31144549560546875, 0.31171072387695314, 0.31162060546875, 0.3115868225097656, 0.3114710998535156, 0.311947265625, 0.31166873168945314, 0.31137484741210936, 0.31127655029296875, 0.31169638061523436, 0.311468017578125, 0.31132672119140625, 0.311436279296875, 0.31144140625, 0.31263333129882814, 0.31138919067382814, 0.3112171630859375, 0.31134515380859373, 0.3113707580566406, 0.31140045166015623, 0.3112458190917969, 0.31124273681640624, 0.3112949829101562, 0.31147930908203125]",tokens/s,3.158650317777157,,,,True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694704d-3a85921405c9e04b2321aa63;2caf6099-bb58-48e8-8057-a14721c18fb4) - -Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: google/recurrentgemma-7b is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 14.50 MiB is free. Process 101062 has 22.16 GiB memory in use. Of the allocated memory 21.80 GiB is allocated by PyTorch, and 121.66 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,t,t,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/t/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947575-0accc48314073541592d20c7;b1c4f515-0875-4aad-9c9f-1e4a51962c93) - -Repository Not Found for url: https://huggingface.co/t/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: t is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,6076.469248,19264.96256,0.0,18618.515456,17568.4224,s,10,13.635498901367187,1.3635498901367185,0.0013851927256528227,1.363193603515625,1.365039807128906,1.3656133483886719,1.3660721813964845,"[1.3625631103515625, 1.3661868896484375, 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1.2283934326171875]",tokens/s,0.8016250503054035,,,,True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1349, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1142, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 868, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 781, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,x,x,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/x/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669476a3-7a0e9f0b0fa432475b3d220f;50e56f1c-127a-42d6-a629-a32e3f696bdf) - -Repository Not Found for url: https://huggingface.co/x/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: x is not a local folder and is not a valid model identifier listed on 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0.4780953674316406, 0.47809332275390626, 0.478276611328125, 0.4783390808105469, 0.4782018432617188, 0.4779632568359375]",tokens/s,2.0606588043533587,,,,,True,main,False,False -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp9xxw805q/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp2xme8x_t/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-14B,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.214-202.855.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.0,56387f0ed9acb6808de92d1e9f4c4b67cc3f2798,4.40.2,,0.30.0,,,,1.19.1,,,,0.10.0,,,,,,,,,,,,,,,,,,,,,,,,,MB,4000.587776,12218.53184,0.0,11572.084736,11067.6992,s,10,6.274333862304688,0.6274333862304687,0.0014418384227693484,0.6271485595703126,0.6294188720703124,0.6296758972167968,0.6298815173339843,"[0.62793310546875, 0.6299329223632812, 0.6257842407226563, 0.6269880981445313, 0.6266719360351563, 0.62570068359375, 0.6273090209960938, 0.628746337890625, 0.62590576171875, 0.6293617553710937]",tokens/s,408.0114409244492,kWh,7.395804394036532e-06,4.050755433627273e-06,4.069388672174601e-05,5.2140446549409814e-05,tokens/kWh,4909816.024636592,MB,4000.587776,12218.53184,0.0,11572.084736,11417.442816,s,10,346.35421484375,34.63542148437501,0.005481705204538505,34.636068359375,34.641064453125004,34.6420224609375,34.6427888671875,"[34.6408515625, 34.6320390625, 34.62715234375, 34.6347578125, 34.6315546875, 34.63737890625, 34.64076171875, 34.62712890625, 34.639609375, 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0.5490667724609375, 0.5494989013671875, 0.5497743530273438, 0.549411865234375, 0.551868408203125, 0.54951220703125, 0.5497180786132813, 0.5496380615234375, 0.549728271484375, 0.5498746948242188, 1.17642236328125, 0.5495439453125, 0.5496812133789063, 0.5500067138671875, 0.5500466918945313, 0.5497927856445313, 0.5496145629882813, 0.5498603515625, 0.5499801635742188, 0.5497774047851562, 0.5499218139648437, 0.5500252075195312, 0.5499617309570313, 0.5498746948242188, 0.5501552734375, 0.5501890258789063, 0.5498470458984375, 0.5514967041015625, 0.5500538940429688, 0.549981201171875, 0.5499453735351563, 0.5500723266601563, 0.5503211669921875, 0.5499566040039062, 0.5496749877929688, 0.5495214233398438, 0.55014501953125, 0.5498644409179687, 0.5502791748046875, 0.5495111694335938, 0.5496258544921875, 0.5497467041015625, 0.5499156494140625, 0.5499330444335937, 0.5498101806640625, 0.549422119140625, 0.5496688232421875, 0.549454833984375, 0.5499730224609375, 0.5499525146484375, 0.5496156005859375, 0.5495214233398438, 0.5496279296875, 0.54949169921875, 0.5499443359375, 0.5496893310546875, 0.5496371459960937, 0.5497661743164063, 0.5493309326171875, 0.5493667602539063, 0.5495982055664063, 0.5498716430664062, 0.5500508422851562, 0.5496002807617187, 0.549580810546875, 0.5497518310546875, 0.5494763793945312, 0.5502894287109374, 0.5498040161132812, 0.5496934204101562, 0.5494661254882812, 0.5495572509765625, 0.5497640991210937, 1.1800985107421875, 0.5502362060546875, 0.5499596557617188, 0.5499771118164063, 0.5499320068359375, 0.54993408203125, 0.5496924438476563, 0.5497088012695313, 0.54962890625, 0.5497692260742187, 0.5496719360351563, 0.5496749877929688, 0.550171630859375, 0.5498040161132812, 0.5495132446289063, 0.5494343872070313, 0.5496535034179687, 0.5498522338867188, 0.5498715209960937, 0.55016650390625, 0.5498357543945313, 0.54962890625, 0.5497313232421875, 0.5496842041015625, 0.5497507934570313, 0.54953369140625, 0.55164111328125, 0.5496196899414062, 0.550055908203125, 0.5495173950195312, 0.5501920776367187, 0.5497261962890625, 0.5495695190429688, 0.5494876098632813, 0.5496985473632813, 0.5498613891601563, 0.5497979125976562, 0.5498275756835938, 0.5494743041992187, 0.5495643920898438, 0.549391357421875, 0.5497763671875, 0.5498480834960937, 0.5502494506835938, 0.550213623046875, 0.549992431640625, 0.5500907592773437, 0.5497804565429687, 0.550150146484375, 0.5504419555664063, 0.5499197387695313, 0.5499852905273438, 0.5498756713867188, 0.5500354614257813, 0.5499658203125, 0.5504122924804687, 0.5497241821289063, 0.549796875, 0.5498849487304688, 0.549918701171875, 0.5500098266601563, 0.5499218139648437, 0.5500538330078125]",tokens/s,1.789727382775849,,,,,False,main,False,False -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 48.50 MiB is free. Process 81386 has 22.13 GiB memory in use. Of the allocated memory 21.81 GiB is allocated by PyTorch, and 85.01 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 512.00 KiB is free. Process 97221 has 22.18 GiB memory in use. Of the allocated memory 21.85 GiB is allocated by PyTorch, and 89.04 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,r,r,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/r/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694759f-2d8fa8ab2558e55847bdc353;a9eb9e0c-2185-448a-8c4a-aa49b36efa46) - -Repository Not Found for url: https://huggingface.co/r/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: r is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 34795 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 192.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 40.50 MiB is free. Process 39491 has 22.14 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 14.90 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpjvagt0gj/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,m,m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/m/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694730a-69d63bb533d6ba08238010f9;0c399887-72ef-40c6-afc3-f3fab32ce5ad) - -Repository Not Found for url: https://huggingface.co/m/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: m is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.04489011383056641, 0.043496448516845705, 0.04325888061523438, 0.04376780700683594, 0.04559769439697266, 0.045507583618164066, 0.04567859268188477, 0.04476518249511719, 0.04520550537109375, 0.045370399475097654, 0.04528534317016602, 0.045367294311523435, 0.045400062561035154, 0.04538470458984375, 0.04552908706665039, 0.04533248138427735, 0.04535603332519531, 0.045346817016601565, 0.04542566299438477, 0.04540927886962891, 0.04543590545654297, 0.04544204711914063, 0.045521919250488284, 0.045591552734375, 0.0454389762878418, 0.04610047912597656, 0.04551475143432617, 0.04597862243652344, 0.04615167999267578, 0.04537241744995117, 0.04523622512817383, 0.045244415283203124, 0.04534783935546875, 0.04533760070800781, 0.04543283081054687, 0.04534886550903321, 0.0453570556640625]",tokens/s,21.760762987900954,,,,True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 77199 has 22.16 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 42.84 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,l,l,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/l/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947609-09b932ee7e1588796483b44a;c2103358-e1cc-4dd6-b59f-ec56ba5e45a9) - -Repository Not Found for url: https://huggingface.co/l/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: l is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,B,B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/B/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947733-50bfbf5471d36d14111ba944;0ccd9308-bbf3-4130-8281-3154afe0dd55) - -Repository Not Found for url: https://huggingface.co/B/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: B is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,M,M,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/M/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669474da-64ee79993bc45dda3ad1924f;76eb6779-df94-4244-97da-3b5dc0a9b277) - -Repository Not Found for url: https://huggingface.co/M/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: M is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.13824409484863281, 0.1386967010498047, 0.13835162353515626, 0.13831475830078124, 0.13837312316894532, 0.13841714477539063, 0.13833932495117188, 0.1383260192871094, 0.13828608703613282, 0.13849087524414064, 0.138461181640625, 0.1383864288330078, 0.1384110107421875, 0.13849600219726563, 0.13834547424316407, 0.13844070434570313, 0.13835980224609376, 0.1384488983154297]",tokens/s,7.11214227447269,,,,True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmparw6ooey/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/gpt-neox-20b,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch - raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") -RuntimeError: Isolated process exited with non-zero code -9 -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,01-ai/Yi-6B,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: / does not appear to have a file named config.json. Checkout 'https://huggingface.co///tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,TencentARC/Mistral_Pro_8B_v0.1,TencentARC/Mistral_Pro_8B_v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 51393 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-0.5B,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,s,s,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/s/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947373-47056fb54e65d3001fe74546;74acac9b-df9f-4383-9dad-1f936ad8b404) - -Repository Not Found for url: https://huggingface.co/s/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: s is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: FalconForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp8fjhz2ph/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3900, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,-,-,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 106, in _inner_fn - validate_repo_id(arg_value) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 160, in validate_repo_id - raise HFValidationError( -huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: '-'. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 466, in cached_file - raise EnvironmentError( -OSError: Incorrect path_or_model_id: '-'. Please provide either the path to a local folder or the repo_id of a model on the Hub. - -",True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.47721881103515623, 0.4774328308105469, 0.4771942443847656, 0.47711334228515623, 0.4773232727050781, 0.4772300720214844]",tokens/s,2.0614108971542824,,,,True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,v,v,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/v/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694778b-1a681f8c7f6a8b6c06e7a0c1;c505bf88-3836-4e2b-8524-20217a5c1776) - -Repository Not Found for url: https://huggingface.co/v/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: v is not a local folder and is not a valid model identifier listed on 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benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmplpjk72gg/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/pythia-410m,,cuda,0,42,,,,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.03259392166137695, 0.032672767639160154, 0.03218636703491211, 0.06592205047607422, 0.03243929672241211, 0.032543743133544925, 0.03255807876586914, 0.0324659194946289, 0.03224166488647461, 0.03282534408569336, 0.03225804901123047, 0.03247206497192383, 0.032473087310791016, 0.032638111114501954, 0.03223023986816406, 0.03221196746826172, 0.03254886245727539, 0.03238809585571289, 0.032551937103271485, 0.032389118194580076, 0.03272294235229492, 0.032369663238525394, 0.032726016998291016, 0.032499713897705076, 0.03233484649658203, 0.032502784729003906, 0.03261644744873047, 0.03243929672241211, 0.03239731216430664, 0.03210137557983399, 0.03238604736328125, 0.03237171173095703, 0.03223756790161133, 0.03236454391479492, 0.03194470405578613, 0.03223660659790039, 0.03229075241088867, 0.03240755081176758, 0.032451583862304685, 0.03253760147094727, 0.03243212890625, 0.03215564727783203, 0.033007614135742186, 0.03275475311279297, 0.032383937835693356, 0.032626686096191404, 0.03235753631591797, 0.032218975067138673, 0.032473087310791016, 0.033484798431396484, 0.03295129776000977, 0.03196416091918945, 0.03215359878540039, 0.03249663925170899, 0.03240758514404297, 0.032306144714355466, 0.03200614547729492, 0.03237276840209961, 0.03265737533569336, 0.03217715072631836, 0.03253452682495117, 0.03220479965209961, 0.0321003532409668, 0.032395263671875, 0.032539806365966796, 0.03214422225952149, 0.06471987152099609, 0.03255295944213867, 0.03217919921875, 0.032395263671875, 0.03217414474487305, 0.03244947052001953, 0.03224883270263672, 0.03234918212890625, 0.03223551940917969, 0.032205825805664064, 0.03241984176635742, 0.03253452682495117, 0.032454654693603514, 0.0323583984375, 0.032066654205322266, 0.032269214630126955, 0.03241164779663086, 0.03215359878540039, 0.0322242546081543, 0.03235430526733398, 0.032299007415771484, 0.032295936584472655, 0.03232153701782227, 0.03226828765869141, 0.03220684814453125, 0.03228160095214844, 0.03236761474609375, 0.032284671783447266, 0.03242092895507812, 0.03312223815917969, 0.03338956832885742, 0.03359743881225586, 0.03297792053222656, 0.032307201385498044, 0.03250483322143555, 0.03389952087402344, 0.03437059020996094, 0.03361584091186524, 0.03344384002685547, 0.03237887954711914, 0.032467967987060545, 0.032277503967285154, 0.03224063873291016, 0.03226521682739258, 0.03248332977294922, 0.03225907135009766, 0.03223046493530273, 0.032271358489990236, 0.03228768157958985, 0.03213737487792969, 0.03225276947021485, 0.03198988723754883, 0.03240537643432617, 0.03232153701782227, 0.032315391540527344, 0.03250380706787109, 0.03234099197387695, 0.03219251251220703, 0.03249868774414062, 0.03239014434814453, 0.032508926391601564, 0.0322591667175293, 0.03197942352294922]",tokens/s,29.931519380564733,,,,,True,main,False,False -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,.,.,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: . does not appear to have a file named config.json. Checkout 'https://huggingface.co/./tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,a,a,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/a/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669475bd-7c7cbf9154605ac426ab191b;1ce9478b-7e77-4b11-ba73-bafbcc633354) - -Repository Not Found for url: https://huggingface.co/a/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: a is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.30470758056640623, 0.30490420532226564, 0.3046533203125, 0.3048826904296875]",tokens/s,3.2311483815653337,,,,True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,1,1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/1/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669477fd-398155bf5fd148287b488ed6;2dcffe19-b79f-4a98-a34a-f52b5ee6caf2) - -Repository Not Found for url: https://huggingface.co/1/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 1 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: FalconForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.289728,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,4113.342464,5287.44448,0.0,4640.997376,4330.668544,s,10,3.2019090576171876,0.3201909057617187,0.0017134996701674667,0.31955131530761716,0.3223881805419922,0.3223929733276367,0.32239680755615235,"[0.3185635986328125, 0.3218643493652344, 0.318020263671875, 0.3190321350097656, 0.3193435974121094, 0.3183670349121094, 0.319759033203125, 0.32239776611328125, 0.3221741638183594, 0.3223871154785156]",tokens/s,799.5230201525817,kWh,3.7596130847103066e-06,2.060095877009083e-06,1.8658895135439252e-05,2.447860409715864e-05,tokens/kWh,10458112.6841998,MB,4113.342464,5287.44448,0.0,4640.997376,4515.667456,s,10,175.162884765625,17.5162884765625,0.0013239684065771513,17.516396484375,17.5170955078125,17.51822841796875,17.51913474609375,"[17.5166953125, 17.51646484375, 17.51684375, 17.515330078125, 17.516587890625, 17.51393359375, 17.519361328125, 17.51530859375, 17.516328125, 17.51603125]",tokens/s,3.596652343577039,kWh,0.00020683056154391835,0.0001133576330349002,0.0010022863660645621,0.0013224745606433806,tokens/kWh,47637.96739451128,,s,629,177.76777615356434,0.2826196759198163,0.038106541032305166,0.27801907348632815,0.2782052307128906,0.2782926879882812,0.5975155737304687,"[0.27855975341796874, 0.27801702880859375, 0.2778101806640625, 0.2780354614257812, 0.27816244506835935, 0.2778398742675781, 0.2780078125, 0.27787161254882814, 0.2779852905273438, 0.27780914306640625, 0.27788491821289063, 0.2780006408691406, 0.2780405883789063, 0.27786956787109374, 0.27781939697265623, 0.27792691040039064, 0.27795147705078127, 0.27795660400390626, 0.2780201110839844, 0.27802520751953125, 0.2780088195800781, 0.2779525146484375, 0.2779207763671875, 0.2779402160644531, 0.2781061096191406, 0.27823513793945315, 0.2779893798828125, 0.27797503662109374, 0.27814501953125, 0.2779105224609375, 0.2781542358398438, 0.2779914245605469, 0.2781327209472656, 0.27813067626953125, 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0.27801089477539065, 0.2780498046875, 0.2780282897949219, 0.27819314575195314, 0.27838156127929686]",tokens/s,3.538324063055383,,,,True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: FalconForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,8,8,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/8/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947668-51418c8d0a740a3b4bbb1251;ef253ea0-2024-41c5-8b17-107a3eabbbee) - -Repository Not Found for url: https://huggingface.co/8/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 8 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-4B,,cuda,0,42,,,,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,i,i,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/i/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669474f7-3e013a6909d6524935a854ab;974ccf0e-d64a-4476-bbd9-b175ee5a7044) - -Repository Not Found for url: https://huggingface.co/i/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: i is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: DeciLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1443.033088,2426.929152,0.0,1780.482048,1621.410304,s,10,0.7064453201293945,0.07064453201293945,0.0003248218262012489,0.07069225692749023,0.07102691879272462,0.07108656425476075,0.07113428062438965,"[0.07067814636230468, 0.07048297882080078, 0.07070636749267578, 0.07082745361328124, 0.07072316741943359, 0.0701509780883789, 0.07005088043212891, 0.07066547393798828, 0.07101366424560547, 0.07114620971679687]",tokens/s,3623.7765713149647,kWh,8.268914728916795e-07,4.5309206087460127e-07,3.6233265194823877e-06,4.903310053248669e-06,tokens/kWh,52209629.25450497,MB,1443.033088,2426.929152,0.0,1780.482048,1723.272192,s,10,38.051747802734376,3.8051747802734375,0.001633156200721129,3.8047684326171876,3.806425,3.8079255126953124,3.8091259228515626,"[3.809426025390625, 3.806091552734375, 3.80473193359375, 3.804946533203125, 3.80474365234375, 3.8032763671875, 3.805872802734375, 3.804793212890625, 3.803895263671875, 3.803970458984375]",tokens/s,16.556401121599166,kWh,4.491550297112361e-05,2.461545215875538e-05,0.0001956961107137206,0.00026522706584359966,tokens/kWh,237532.31895703336,,s,629,38.62667061996455,0.06140965122410906,0.00841844016264897,0.0603873291015625,0.06047764434814453,0.060527001953125,0.13100806091308592,"[0.060862464904785155, 0.06109286499023438, 0.0608983039855957, 0.06086656188964844, 0.060881919860839843, 0.06083071899414062, 0.06078668975830078, 0.06044364929199219, 0.0603422737121582, 0.06038323211669922, 0.06031872177124024, 0.0603955192565918, 0.0603135986328125, 0.060398593902587894, 0.06039449691772461, 0.060418048858642576, 0.06032486343383789, 0.060388351440429686, 0.06033203125, 0.060393470764160156, 0.06033919906616211, 0.0603955192565918, 0.06034022521972656, 0.06041907119750976, 0.06042009735107422, 0.06042009735107422, 0.06048051071166992, 0.06038016128540039, 0.06032998275756836, 0.06038323211669922, 0.060336128234863284, 0.0603955192565918, 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,0,0,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/0/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669477a6-0d914f45274857b759f1969d;67f4044c-56c5-4e29-a95c-c0640b420fba) - -Repository Not Found for url: https://huggingface.co/0/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 0 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,2,2,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/2/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669476ef-271b3454310fbb2b3c89d56e;98ce686d-7ff3-4af1-84af-dcf3fb86730b) - -Repository Not Found for url: https://huggingface.co/2/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 2 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,4118.597632,5287.44448,0.0,4640.997376,4330.668544,s,10,3.1970594482421872,0.31970594482421877,0.0012811478039207278,0.31938397216796877,0.32123822631835935,0.32139851684570314,0.3215267492675781,"[0.31836029052734377, 0.3215588073730469, 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0.2779279479980469, 0.2781368408203125, 0.27793408203125, 0.2779914245605469, 0.2780159912109375, 0.27801702880859375, 0.2779934692382813, 0.2779084777832031, 0.2779371643066406, 0.27799038696289063, 0.2778685302734375, 0.2779504699707031, 0.2779842529296875, 0.2779535217285156, 0.27789926147460936, 0.2780508117675781, 0.2779299926757812, 0.2779852905273438, 0.27796786499023435, 0.2780845947265625, 0.278012939453125, 0.27808563232421873, 0.27792486572265623, 0.2780528564453125, 0.2779791259765625, 0.27808767700195314, 0.27787982177734377, 0.2782576599121094, 0.2780477294921875, 0.27795660400390626, 0.2779730224609375, 0.27805487060546874, 0.27805184936523436, 0.27802725219726565, 0.2779259338378906]",tokens/s,3.538951951648072,,,,True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch - raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") -RuntimeError: Isolated process exited with non-zero code -9 -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1712.406528,5964.824576,0.0,5318.377472,5048.328704,s,10,3.4079426879882817,0.34079426879882807,0.0009322383785557938,0.3405218048095703,0.3422028137207031,0.34224659423828124,0.34228161865234374,"[0.33942413330078125, 0.33999859619140627, 0.3406260070800781, 0.3401291809082031, 0.3404176025390625, 0.3401330871582031, 0.34098886108398435, 0.34174176025390623, 0.3421930847167969, 0.3422903747558594]",tokens/s,751.1863415494162,kWh,4.007971358520013e-06,2.195722103369917e-06,2.097056307273452e-05,2.717425653462445e-05,tokens/kWh,9420680.918126099,MB,1712.406528,5964.824576,0.0,5318.377472,5098.333184,s,10,188.29865429687501,18.8298654296875,0.0006673439432085487,18.82976953125,18.8306990234375,18.83094423828125,18.831140410156248,"[18.829521484375, 18.829875, 18.82865625, 18.829970703125, 18.8296640625, 18.83021484375, 18.83064453125, 18.829525390625, 18.831189453125, 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0.2989056091308594, 0.29896600341796875, 0.2988984375, 0.29889022827148437, 0.29891583251953124, 0.2989547424316406]",tokens/s,3.2920160420021825,,,,True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947040-155eb3f26c7ec4143a78479b;90fd2b3f-6da7-4693-8211-e3db7db2aa5f) - -Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: google/recurrentgemma-7b is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 14.50 MiB is free. Process 99844 has 22.16 GiB memory in use. Of the allocated memory 21.80 GiB is allocated by PyTorch, and 121.66 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,t,t,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/t/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947566-055a4f4b370928606f839bb8;10708768-9eb8-4191-9606-80ce1e466c25) - -Repository Not Found for url: https://huggingface.co/t/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: t is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1349, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1142, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 868, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 781, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.42.1,,0.31.0,,,,1.20.0,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1688.461312,2137.522176,0.0,1491.075072,1399.06304,s,10,0.6597977447509766,0.06597977447509766,0.00015504724890479004,0.06598998260498047,0.06610216369628907,0.06622740097045898,0.06632759078979492,"[0.0663526382446289, 0.06600761413574219, 0.06607433319091797, 0.0660474853515625, 0.06597695922851562, 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,x,x,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/x/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947695-439660097a584e6026d0ac7f;0cd10d89-c3a5-4c34-81c9-678ebd84ae1d) - -Repository Not Found for url: https://huggingface.co/x/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: x is not a local folder and is not a valid model identifier listed on 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0.47765402221679687, 0.47755572509765626, 0.47769189453125, 0.4774881286621094]",tokens/s,2.06268216117043,,,,True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-14B,,cuda,0,42,,,,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,,,,,,,,,,,,,,,,,,,,,,,,MB,3992.109056,12218.53184,0.0,11572.084736,11067.6992,s,10,6.179316650390626,0.6179316650390625,0.0013633687573851503,0.6172748413085938,0.6201095886230469,0.6201251068115234,0.6201375213623047,"[0.6168117065429688, 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0.5367234497070312, 0.5361285400390625, 0.5362032470703125, 0.5362831420898437, 0.5368237915039062, 0.5363056640625, 0.5362196655273438, 0.53631591796875, 0.5363343505859375, 0.5364572143554688, 0.5363097534179687, 0.536158203125]",tokens/s,1.8349738605009493,,,,,True,main,False,False -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 48.50 MiB is free. Process 79941 has 22.13 GiB memory in use. Of the allocated memory 21.81 GiB is allocated by PyTorch, and 85.01 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 512.00 KiB is free. Process 95779 has 22.18 GiB memory in use. Of the allocated memory 21.85 GiB is allocated by PyTorch, and 89.04 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,r,r,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/r/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947591-3c5ad3e61ff84755333ddee7;f675a940-8742-4d7d-8fd9-dfe980e6499a) - -Repository Not Found for url: https://huggingface.co/r/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: r is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.42.1,,0.31.0,,,,1.20.0,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,2120.851456,5971.116032,0.0,5324.668928,5080.87552,s,10,3.168598297119141,0.3168598297119141,0.0006192749728236364,0.31659298706054684,0.31771173400878905,0.3178386398315429,0.31794016448974605,"[0.31654159545898436, 0.3159651184082031, 0.3165306091308594, 0.3165748596191406, 0.3166111145019531, 0.3162603149414063, 0.3169653625488281, 0.317500244140625, 0.31768353271484373, 0.31796554565429686]",tokens/s,807.9282256534466,kWh,3.7360648158937697e-06,2.0465616732053604e-06,1.909266284356309e-05,2.487528933266222e-05,tokens/kWh,10291337.583111528,MB,2120.851456,5971.116032,0.0,5324.668928,5264.397312,s,10,173.229013671875,17.3229013671875,0.001442343405648258,17.322640625,17.324698828124998,17.32475859375,17.32480640625,"[17.322501953125, 17.320978515625, 17.322779296875, 17.324615234375, 17.3214375, 17.3238359375, 17.32092578125, 17.324685546875, 17.324818359375, 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0.275009521484375, 0.27514163208007814, 0.27507302856445315, 0.27506585693359376, 0.27519384765625, 0.2751242370605469]",tokens/s,3.577803959884384,,,,True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 33354 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 557, in from_pretrained - cls.register(config.__class__, model_class, exist_ok=True) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 584, in register - raise ValueError( -ValueError: The model class you are passing has a `config_class` attribute that is not consistent with the config class you passed (model has and you passed . Fix one of those so they match! - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 192.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 40.50 MiB is free. Process 37842 has 22.14 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 14.90 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,m,m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/m/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669472fa-48df3ec7538c29560708a80d;ebdf9ddf-4617-4eee-8437-4774fac9f993) - -Repository Not Found for url: https://huggingface.co/m/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: m is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.42.1,,0.31.0,,,,1.20.0,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1351.430144,1481.1136,0.0,834.666496,666.95168,s,10,0.4440918083190918,0.04440918083190918,0.002690372695780075,0.04350334358215332,0.04450159378051757,0.04849036560058593,0.05168138305664063,"[0.0524791374206543, 0.04346819305419922, 0.043497726440429686, 0.04349753570556641, 0.04343983840942383, 0.043534912109375, 0.04350896072387695, 0.04349545669555664, 0.04361520004272461, 0.043554847717285156]",tokens/s,5764.573793175153,kWh,5.172603869831487e-07,2.834344339325623e-07,2.2243685917206733e-06,3.0250634126363846e-06,tokens/kWh,84626325.16416985,MB,1351.430144,1483.210752,0.0,836.763648,708.003328,s,10,26.38150390625,2.638150390625,0.009829554519032698,2.637900146484375,2.6502734863281248,2.6508669677734376,2.6513417529296874,"[2.649655517578125, 2.635245361328125, 2.621315673828125, 2.629010498046875, 2.630083984375, 2.6501416015625, 2.640554931640625, 2.65146044921875, 2.631357177734375, 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 75914 has 22.16 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 42.84 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,l,l,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/l/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669475fa-23c995951786381869f9c7fb;267ee57c-47be-449e-a929-9d2a79ce5a92) - -Repository Not Found for url: https://huggingface.co/l/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: l is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,B,B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/B/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694771b-203ef9ad0bbd57902444b280;fb183206-7209-40c1-9d5f-2074814d35ff) - -Repository Not Found for url: https://huggingface.co/B/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: B is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.289728,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,6439.493632,20389.036032,0.0,19742.588928,18821.508608,s,10,15.1473671875,1.5147367187499998,0.00247756470747785,1.5140679931640624,1.5185943847656251,1.5187318237304688,1.5188417749023437,"[1.5126702880859375, 1.5122486572265625, 1.5120849609375, 1.5139268798828125, 1.5142091064453125, 1.5128245849609374, 1.514491455078125, 1.5174781494140626, 1.5188692626953124, 1.5185638427734376]",tokens/s,169.00626810661714,kWh,1.786537355846829e-05,9.788986818782104e-06,8.822982058380724e-05,0.00011588418096105764,tokens/kWh,2209102.2077122647,MB,6440.05888,20389.036032,0.0,19742.588928,19408.2304,s,10,843.181140625,84.3181140625,0.002181345135820369,84.31812890625,84.32165,84.32172734375,84.32178921875,"[84.3218046875, 84.31809375, 84.3141640625, 84.317453125, 84.316203125, 84.31825, 84.3185546875, 84.3168203125, 84.3181640625, 84.3216328125]",tokens/s,0.7471704117255499,kWh,0.0009954405118525029,0.0005455906297619111,0.00497354175660798,0.006514572898222393,tokens/kWh,9670.626299567632,,s,629,855.4723406982422,1.360051416054439,0.1800573065911544,1.3383363037109375,1.3387327392578126,1.338873681640625,2.85288818359375,"[1.33827587890625, 1.338081298828125, 1.3381846923828125, 1.3384754638671874, 1.33840283203125, 1.337996337890625, 1.338251220703125, 1.33793896484375, 1.3378477783203124, 1.338167236328125, 1.337945068359375, 1.338113037109375, 1.3379625244140625, 1.3380064697265626, 1.3384990234375, 1.3382308349609375, 1.33815087890625, 1.3384324951171875, 1.3385635986328126, 1.3381785888671875, 1.3384417724609374, 1.338292236328125, 1.33815087890625, 1.3382215576171874, 1.33812841796875, 1.3385369873046875, 1.33857080078125, 1.33825537109375, 1.338660888671875, 1.338504150390625, 1.3385400390625, 1.338418212890625, 1.338197998046875, 1.339029541015625, 1.3383699951171875, 1.338683349609375, 1.3382236328125, 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0.280711181640625, 0.2804653930664063, 0.28054425048828124, 0.2804316101074219, 0.2805401611328125, 0.2803804016113281, 0.2804695129394531, 0.28054629516601565, 0.2805770263671875, 0.28039486694335936, 0.280461181640625, 0.28036300659179686, 0.28038247680664063, 0.2803312683105469, 0.2803261413574219, 0.28028005981445314, 0.28033023071289065, 0.28046234130859377, 0.2805422058105469, 0.28042755126953123, 0.2803332824707031, 0.2804695129394531, 0.28044082641601564, 0.2805206909179688, 0.28069171142578125, 0.28068865966796874, 0.2804121398925781, 0.28018893432617187, 0.2804930419921875, 0.28053094482421875, 0.2804398193359375, 0.2802923583984375]",tokens/s,3.5075084350143877,,,,,True,main,False,False -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,M,M,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/M/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669474cc-73916d0d1213bb8743618545;2ad7ab33-25d5-4dfe-83ee-97a0aa035d83) - -Repository Not Found for url: https://huggingface.co/M/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: M is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: / does not appear to have a file named config.json. Checkout 'https://huggingface.co///tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,TencentARC/Mistral_Pro_8B_v0.1,TencentARC/Mistral_Pro_8B_v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.2752235412597656, 0.27518463134765625, 0.2751539306640625, 0.2751109008789063, 0.2753403015136719, 0.2751047668457031, 0.2751651916503906, 0.27515802001953127, 0.2753259582519531, 0.2751488037109375, 0.2751682434082031, 0.2751068115234375, 0.2752225341796875, 0.2750965881347656, 0.27527987670898435, 0.27511911010742185, 0.27532696533203127, 0.2752204895019531, 0.27523687744140624, 0.2752041015625, 0.2751877136230469, 0.27512216186523436, 0.2756270141601562, 0.2752153625488281, 0.2752378845214844, 0.2752808837890625, 0.27518975830078124, 0.2753607788085938, 0.27531057739257814, 0.27529522705078124, 0.27512628173828124, 0.27539764404296874, 0.2753617858886719, 0.27535055541992187, 0.2752552490234375, 0.27551333618164064, 0.2751825866699219, 0.27539556884765626, 0.2752511901855469, 0.27545294189453123, 0.27562396240234377, 0.2753791809082031, 0.27538021850585936, 0.2752143249511719, 0.2759085998535156, 0.27534335327148435, 0.2752808837890625, 0.2754089050292969, 0.2752716674804688, 0.27535568237304686, 0.27544573974609377, 0.27542221069335937, 0.275409912109375, 0.2752501831054687, 0.27520510864257813, 0.27545086669921875]",tokens/s,3.574269301942627,,,,True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.11295231628417969]",tokens/s,8.718125947626746,,,,True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 50012 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-0.5B,,cuda,0,42,,,,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,s,s,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/s/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947364-21c6e61010418c3d1ca80bf8;55f6e351-685a-433c-bd6d-05c1efe2facb) - -Repository Not Found for url: https://huggingface.co/s/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: s is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: FalconForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3900, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,-,-,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 106, in _inner_fn - validate_repo_id(arg_value) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 160, in validate_repo_id - raise HFValidationError( -huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: '-'. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 466, in cached_file - raise EnvironmentError( -OSError: Incorrect path_or_model_id: '-'. Please provide either the path to a local folder or the repo_id of a model on the Hub. - -",True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,2301.063168,9284.616192,0.0,8638.169088,8363.057664,s,10,5.4818378295898444,0.5481837829589844,0.00020036010742187252,0.54817041015625,0.5484192260742187,0.5484732238769531,0.5485164221191406,"[0.5485272216796875, 0.5484072265625, 0.54811328125, 0.5482275390625, 0.54802099609375, 0.5482876586914063, 0.5479661254882813, 0.5483607788085938, 0.5478809204101562, 0.5480460815429687]",tokens/s,466.9966678294716,kWh,6.478277711491836e-06,3.549775226881473e-06,3.0441851838840167e-05,4.046990477721348e-05,tokens/kWh,6325688.222131435,MB,2301.063168,9286.713344,0.0,8640.26624,8449.784832,s,10,301.4789765625,30.147897656250002,0.0016839399749129468,30.1480361328125,30.149783984375,30.14982265625,30.14985359375,"[30.144970703125, 30.144951171875, 30.148703125, 30.149861328125, 30.14953125, 30.147626953125, 30.149775390625, 30.14778515625, 30.147484375, 30.148287109375]",tokens/s,2.0896979523525543,kWh,0.0003559321468057688,0.0001950804837116926,0.0017136262656367543,0.0022646388961542157,tokens/kWh,27819.00465764581,,s,629,305.93330749511733,0.48638045706695904,0.06512578019124907,0.4785172424316406,0.478803564453125,0.47892376708984374,1.026681513671875,"[0.4782633056640625, 0.4782233581542969, 0.47832369995117185, 0.47832473754882815, 0.478587890625, 0.47852340698242185, 0.47815576171875, 0.47832986450195314, 0.4782868347167969, 0.47822540283203124, 0.47826739501953125, 0.4782776184082031, 0.4784947204589844, 0.47852850341796876, 0.47837698364257814, 0.4786431579589844, 0.47857662963867187, 0.47839947509765623, 0.4785500183105469, 0.4782499694824219, 0.4788275146484375, 0.4784056396484375, 0.47826943969726565, 0.4782530517578125, 0.47832269287109375, 0.4784373779296875, 0.4783892517089844, 0.4785428466796875, 0.47832986450195314, 0.47853363037109375, 0.4786001892089844, 0.47854592895507814, 0.4784639892578125, 0.47842202758789065, 0.47852850341796876, 0.47838104248046875, 0.4784517211914063, 0.478571533203125, 0.47852850341796876, 0.47855410766601564, 0.4785551452636719, 0.4786780090332031, 0.47844659423828123, 0.47851315307617187, 0.47841485595703126, 0.4785172424316406, 0.4786165771484375, 0.47870974731445315, 0.4785909729003906, 0.4788111267089844, 0.478740478515625, 0.4785858459472656, 0.47851211547851563, 0.47844659423828123, 0.47872103881835937, 0.47842202758789065, 0.47870669555664064, 0.4784598999023438, 0.4786124877929688, 0.47870465087890623, 0.478455810546875, 0.47855615234375, 1.0272388916015625, 0.4783052673339844, 0.4782847900390625, 0.4781864929199219, 0.4782438354492187, 0.4783319091796875, 0.47822027587890625, 0.4781885375976562, 0.47848550415039065, 0.47816909790039064, 0.47828787231445313, 0.4782356567382812, 0.47832986450195314, 0.4783144836425781, 0.47899853515625, 0.47832473754882815, 0.47842202758789065, 0.47827557373046875, 0.4785643615722656, 0.47823974609375, 0.4783616027832031, 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0.4788992004394531, 0.4786053161621094, 0.4787056579589844, 0.4789278869628906, 0.47878656005859377, 0.4786554870605469]",tokens/s,2.056003660242319,,,,True,True,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,v,v,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/v/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694777d-3b2bf8bd1d2db3ce30738870;25db919a-b2f2-4b2a-a8dd-715945a29787) - -Repository Not Found for url: https://huggingface.co/v/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: v is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.03204198455810547, 0.031987712860107424, 0.03217407989501953, 0.032043006896972655, 0.03206041717529297, 0.032056320190429685, 0.03204710388183594, 0.03218022537231445, 0.0319866886138916, 0.03201331329345703, 0.032130046844482424, 0.03208396911621094, 0.03199897575378418, 0.032069633483886716, 0.033242111206054685, 0.0324956169128418, 0.0324956169128418, 0.03204198455810547, 0.032077823638916016, 0.03203583908081055, 0.03224166488647461, 0.03228876876831055, 0.03223961639404297, 0.032086048126220706, 0.03266454315185547, 0.03249868774414062, 0.03214233779907227, 0.03209318542480469, 0.03201433563232422, 0.03204608154296875, 0.03210342407226562, 0.03222016143798828, 0.03211468887329102, 0.03254476928710937]",tokens/s,30.642304592162546,,,,True,True,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3846, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3846, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3846, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3846, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3846, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3846, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3586.039808,4843.896832,0.0,4206.886912,4070.564864,s,1,10.6526083984375,10.6526083984375,0.0,10.6526083984375,10.6526083984375,10.6526083984375,10.6526083984375,[10.6526083984375],,kWh,4.5233690430539915e-05,2.4772274525551376e-05,6.067949298800557e-05,0.00013068545794409685,,MB,3630.309376,5022.154752,0.0,4366.270464,4197.065728,s,10,0.9671819305419922,0.09671819305419922,8.037028710608103e-05,0.09669296264648437,0.0967777603149414,0.09686086502075195,0.09692734878540038,"[0.09675929260253906, 0.0969439697265625, 0.09668182373046875, 0.09667638397216796, 0.09668521881103516, 0.09671167755126953, 0.09669427490234375, 0.0966968994140625, 0.096691650390625, 0.09664073944091797]",tokens/s,2646.8649993961526,kWh,1.1441552622596557e-06,6.269052952704406e-07,4.78913577575012e-06,6.560196333280217e-06,tokens/kWh,39023222.32359094,MB,3639.607296,5030.54336,0.0,4374.659072,4197.068288,s,10,17.25492626953125,1.725492626953125,0.006863947424519884,1.7245525512695312,1.7298066772460938,1.7367326232910156,1.742273380126953,"[1.728267578125, 1.718138671875, 1.7277601318359375, 1.7227349853515626, 1.720654296875, 1.7255506591796874, 1.72451953125, 1.7190562744140625, 1.7245855712890625, 1.7436585693359374]",tokens/s,36.51131219914014,kWh,2.1112304016976616e-05,1.1569629304218528e-05,5.5327745651049824e-05,8.800967897224494e-05,tokens/kWh,715830.3579299262,,s,630,17.252931568145748,0.027385605663723413,0.0004821366765561278,0.027183584213256836,0.02799953861236572,0.028296397018432617,0.02940426164627076,"[0.02791116714477539, 0.02715340805053711, 0.027051008224487305, 0.027056127548217773, 0.02727628707885742, 0.027165695190429686, 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0.025229312896728515, 0.025223167419433593, 0.02530406379699707, 0.0252324161529541, 0.02519139289855957, 0.025423871994018556, 0.02531942367553711, 0.025440256118774415, 0.025523199081420898, 0.02527539253234863, 0.02531532859802246, 0.025181184768676756, 0.025153535842895508, 0.025202688217163087, 0.025185279846191407, 0.0239052791595459, 0.02391449546813965, 0.023864320755004883, 0.023813119888305666, 0.023839744567871093, 0.02385305595397949, 0.02390118408203125, 0.025044992446899415, 0.025176063537597656, 0.02515660858154297, 0.025482240676879882]",tokens/s,40.651904263784694,,,,,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,.,.,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: . does not appear to have a file named config.json. Checkout 'https://huggingface.co/./tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,a,a,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/a/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669475b6-39948ba82e265ea54b48edfc;12cfc890-256b-4cf5-b566-136279b6b22f) - -Repository Not Found for url: https://huggingface.co/a/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: a is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 162.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 68.50 MiB is free. Process 63096 has 22.11 GiB memory in use. Of the allocated memory 21.84 GiB is allocated by PyTorch, and 32.08 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1447.985152,7751.59808,0.0,7105.150976,6340.568064,s,10,3.457121185302734,0.3457121185302734,0.0005760962881276624,0.34552798461914064,0.34599689941406253,0.34668964233398436,0.34724383666992187,"[0.34738238525390625, 0.3453437194824219, 0.3453140563964844, 0.3454561767578125, 0.34568899536132813, 0.3455852661132813, 0.345526123046875, 0.34552984619140625, 0.34545166015625, 0.34584295654296876]",tokens/s,740.5005097545707,kWh,4.081137375584965e-06,2.2362635490308408e-06,1.974525525979045e-05,2.6062656184406252e-05,tokens/kWh,9822483.103359561,MB,1447.985152,7751.59808,0.0,7105.150976,6493.003264,s,10,193.84644921875002,19.384644921875,0.0015153359804161548,19.384103515625,19.3863568359375,19.38704853515625,19.387601894531247,"[19.387740234375, 19.38410546875, 19.3841015625, 19.38357421875, 19.382697265625, 19.383796875, 19.383025390625, 19.385248046875, 19.38595703125, 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0.12085350036621094, 0.12078387451171875, 0.12075520324707031, 0.12057907104492188, 0.12062617492675781, 0.12060467529296875, 0.12064870452880859, 0.12074598693847656, 0.1207162857055664, 0.12071526336669922, 0.12081561279296875, 0.12098355102539063, 0.12073881530761718, 0.1205749740600586, 0.12083609771728515, 0.12120883178710938, 0.12092620849609376, 0.1207531509399414, 0.12080025482177735, 0.1207162857055664, 0.12081356811523437, 0.1207193603515625, 0.12065996551513672]",tokens/s,8.140277418996153,,,,,True,main,False,False -4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,1,1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/1/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669477f0-4d2d278d5b34bfc15bd64073;9653fa5e-4dca-40ab-862b-1145c817b849) - -Repository Not Found for url: https://huggingface.co/1/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 1 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3900, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 229, in convert_model - self._replace_by_quant_layers(model, layers_to_be_replaced) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 299, in _replace_by_quant_layers - self._replace_by_quant_layers(child, names, name + ""."" + name1 if name != """" else name1) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 299, in _replace_by_quant_layers - self._replace_by_quant_layers(child, names, name + ""."" + name1 if name != """" else name1) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 299, in _replace_by_quant_layers - self._replace_by_quant_layers(child, names, name + ""."" + name1 if name != """" else name1) - [Previous line repeated 1 more time] - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 283, in _replace_by_quant_layers - new_layer = QuantLinear( - File ""/usr/local/lib/python3.10/dist-packages/auto_gptq/nn_modules/qlinear/qlinear_exllama.py"", line 72, in __init__ - assert infeatures % self.group_size == 0 -AssertionError - -",,,,, 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0.05583359909057617, 0.05591756820678711, 0.055779327392578126, 0.055826431274414064, 0.05596160125732422, 0.055982078552246094, 0.055801856994628904, 0.05582233428955078, 0.05587251281738281, 0.05585100936889648, 0.0557762565612793, 0.055826431274414064, 0.055815166473388675, 0.05581926345825195, 0.05585919952392578, 0.05578137588500977, 0.05581619262695312, 0.05582950210571289]",tokens/s,17.60390861520409,,,,True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,8,8,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/8/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947660-3ec799834ac3cb8107eccef0;ed5dc3c6-52d1-4d37-b188-7e55a167af75) - -Repository Not Found for url: https://huggingface.co/8/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 8 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-4B,,cuda,0,42,,,,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,i,i,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/i/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669474f0-349a03145acdfb5379d4a46e;ed5f7429-6234-4f53-9651-61cc6da9f72c) - -Repository Not Found for url: https://huggingface.co/i/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: i is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,0,0,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/0/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694779f-3e3eb4d53caa584b4e80b75e;6c087d7f-3604-4cd5-9e70-9b7ab0e72744) - -Repository Not Found for url: https://huggingface.co/0/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 0 is not a local folder and is not a valid model identifier listed on 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0.021939199447631837, 0.021926912307739257]",tokens/s,45.47105276075973,,,,,True,main,False,False -4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,2,2,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/2/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669476e9-7dce4aaa768f22a121612d8f;fe09ecb6-a868-4b79-add7-c0f28ce21303) - -Repository Not Found for url: https://huggingface.co/2/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 2 is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,4111.863808,5287.44448,0.0,4640.997376,4330.799616,s,10,3.226379638671875,0.32263796386718746,0.000402194169118124,0.32271786499023436,0.3231955413818359,0.3232190933227539,0.32323793487548824,"[0.3220740661621094, 0.3221513061523438, 0.32286444091796873, 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0.2991155090332031, 0.29918106079101564, 0.29911041259765625, 0.2991493225097656, 0.298998779296875, 0.29911859130859375, 0.2991513671875, 0.2991329345703125, 0.2992261047363281, 0.2991902770996094, 0.299114501953125, 0.29907354736328123, 0.2991902770996094, 0.2991994934082031, 0.2991011962890625, 0.2990940246582031, 0.29914727783203127, 0.2992117614746094, 0.2990940246582031, 0.2996756591796875, 0.2992486267089844, 0.2991349792480469, 0.2990848083496094, 0.29916363525390627, 0.29900698852539065, 0.2991022033691406, 0.29899981689453126, 0.29923941040039065, 0.29935000610351564, 0.29913088989257813, 0.29920254516601563, 0.29925784301757813, 0.299298828125]",tokens/s,3.2891267051233624,,,,True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947039-09ca4bed080851a13b20337e;13324bcd-8803-4729-8442-69aef6d1f9d6) - -Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: google/recurrentgemma-7b is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 14.50 MiB is free. Process 99245 has 22.16 GiB memory in use. Of the allocated memory 21.80 GiB is allocated by PyTorch, and 121.66 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,t,t,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/t/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694755d-1ef7174038a24a9f6ab8893e;eb632e8d-1aa6-4c94-b293-f33f3f662ae0) - -Repository Not Found for url: https://huggingface.co/t/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: t is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. 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-4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1349, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1142, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 868, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 781, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, 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-4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,x,x,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/x/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694768d-0f261f7f6223843e162b2c28;dfefb687-d467-4dcf-bcc6-cebc6a842660) - -Repository Not Found for url: https://huggingface.co/x/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: x is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 48.50 MiB is free. Process 79285 has 22.13 GiB memory in use. Of the allocated memory 21.81 GiB is allocated by PyTorch, and 85.01 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 512.00 KiB is free. Process 87133 has 22.18 GiB memory in use. Of the allocated memory 21.85 GiB is allocated by PyTorch, and 89.04 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,r,r,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/r/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694758b-470c3e0558f1e9934ac9e99c;531de72c-373a-4355-981c-b64286caf091) - -Repository Not Found for url: https://huggingface.co/r/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: r is not a local folder and is not a valid model identifier listed on 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""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 32649 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 192.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 40.50 MiB is free. Process 36989 has 22.14 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 14.90 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,m,m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/m/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669472f1-2c5ca18c159128a510447424;8a6ad047-d3df-4009-ad00-32a7bb2ff6d5) - -Repository Not Found for url: https://huggingface.co/m/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: m is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 75197 has 22.16 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 42.84 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,l,l,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/l/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669475f2-5c3243ed35528c83670132f0;40bca045-118b-4271-88fb-cf96442d2b81) - -Repository Not Found for url: https://huggingface.co/l/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: l is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,B,B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/B/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947714-396dc6b971e29fed520240b8;ae834da3-bc14-47fd-a10b-d0a3a7618a6c) - -Repository Not Found for url: https://huggingface.co/B/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: B is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.289728,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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84.3771015625]",tokens/s,0.7466540150291898,kWh,0.0009961377963920435,0.0005459716178148128,0.004961524774772203,0.006503634188979058,tokens/kWh,9686.891693071955,,s,629,856.1515289306642,1.3611312065670336,0.18119645630371847,1.3392659912109375,1.33975068359375,1.3398699951171875,2.864413154296875,"[1.338935302734375, 1.339020263671875, 1.339157470703125, 1.3389742431640625, 1.3391175537109374, 1.33900390625, 1.3387376708984375, 1.338894287109375, 1.338723388671875, 1.3391103515625, 1.3388072509765625, 1.339040771484375, 1.3388421630859375, 1.338757080078125, 1.339334716796875, 1.3390653076171875, 1.3389393310546875, 1.339157470703125, 1.3389383544921876, 1.3391553955078126, 1.33906640625, 1.3392864990234374, 1.3392230224609376, 1.339177001953125, 1.3388790283203125, 1.3390867919921876, 1.33946875, 1.339187255859375, 1.33960498046875, 1.3396439208984374, 1.3394185791015625, 1.3393592529296876, 1.339588623046875, 1.3397657470703126, 1.339073486328125, 1.3394534912109375, 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-4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,M,M,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/M/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669474c6-4ef6095a02eeb034122f0025;cfcab62e-e532-4cf4-b2e9-cd728161081d) - -Repository Not Found for url: https://huggingface.co/M/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: M is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch - raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") -RuntimeError: Isolated process exited with non-zero code -9 -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,01-ai/Yi-6B,,cuda,0,42,,,,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: / does not appear to have a file named config.json. Checkout 'https://huggingface.co///tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,TencentARC/Mistral_Pro_8B_v0.1,TencentARC/Mistral_Pro_8B_v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.11977728271484375, 0.11980902099609375]",tokens/s,8.218183509109005,,,,,True,main,False,False -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 49330 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-0.5B,,cuda,0,42,,,,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,,,,,,,,,,,,,,,,,,,,,,,,MB,1461.59616,1686.634496,0.0,1040.187392,943.920128,s,10,0.517407745361328,0.051740774536132815,0.0023733397953787077,0.0518943042755127,0.0530789852142334,0.0554324197769165,0.05731516742706299,"[0.05778585433959961, 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-4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,s,s,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/s/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694735c-79f3b5ec1edfa5965b4d914e;63ceed62-2aaf-4b79-8940-fbd8bf44a628) - -Repository Not Found for url: https://huggingface.co/s/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: s is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 205, in run_text_generation_memory_tracking - _ = backend.generate(self.inputs, self.config.generate_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 454, in generate - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/tiiuae/falcon-40b/05ab2ee8d6b593bdbab17d728de5c028a7a94d83/modeling_falcon.py"", line 900, in forward - transformer_outputs = self.transformer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/tiiuae/falcon-40b/05ab2ee8d6b593bdbab17d728de5c028a7a94d83/modeling_falcon.py"", line 797, in forward - outputs = block( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/tiiuae/falcon-40b/05ab2ee8d6b593bdbab17d728de5c028a7a94d83/modeling_falcon.py"", line 453, in forward - attn_outputs = self.self_attention( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/tiiuae/falcon-40b/05ab2ee8d6b593bdbab17d728de5c028a7a94d83/modeling_falcon.py"", line 314, in forward - key_layer = torch.cat((past_key, key_layer), dim=1) -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 2.50 MiB is free. Process 112665 has 22.18 GiB memory in use. Of the allocated memory 21.82 GiB is allocated by PyTorch, and 54.29 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3900, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1279.995904,1017.643008,0.0,371.195904,277.410816,s,10,0.4175716514587402,0.04175716514587402,0.001329291485763711,0.04133342361450196,0.042088745498657223,0.04389397258758545,0.04533815425872803,"[0.045699199676513674, 0.04128799819946289, 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-4bit-gptq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,-,-,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 106, in _inner_fn - validate_repo_id(arg_value) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 160, in validate_repo_id - raise HFValidationError( -huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: '-'. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 466, in cached_file - raise EnvironmentError( -OSError: Incorrect path_or_model_id: '-'. Please provide either the path to a local folder or the repo_id of a model on the Hub. - -",True,True,,, -4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/v/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947777-1ab7aca66a8306c06f1cbeaa;f838bbc0-bb9d-491f-aa3c-fd68850822c3) - -Repository Not Found for url: https://huggingface.co/v/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: v is not a local folder and is not a valid model identifier listed on 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0.03488256072998047, 0.07262105560302734, 0.03481190490722656, 0.034570270538330075, 0.03525526428222656, 0.03586457443237305, 0.03491839981079101, 0.03548262405395508, 0.03534131240844727, 0.034533374786376955, 0.03462041473388672, 0.03450582504272461, 0.03459779357910156, 0.03499008178710938, 0.034854911804199216, 0.03489791870117188, 0.034700286865234374, 0.03567718505859375, 0.03510067367553711, 0.034855934143066404, 0.03494604873657227, 0.035383296966552735, 0.03561471939086914, 0.035422206878662106, 0.03482624053955078, 0.03482931137084961, 0.03605408096313477, 0.03592902374267578, 0.035507198333740234, 0.03497369766235352, 0.03558911895751953, 0.03528806304931641, 0.035912704467773435, 0.03631411361694336, 0.03609292984008789, 0.03615129470825195, 0.03599871826171875, 0.035932159423828124, 0.035958782196044925, 0.035934207916259765, 0.03591987228393555, 0.03645542526245117, 0.03650252914428711, 0.03688243103027344, 0.03597107315063477, 0.03595161437988281, 0.035606529235839846, 0.035883007049560545, 0.03639807891845703, 0.035996673583984375, 0.0357314567565918, 0.03626803207397461, 0.0361451530456543, 0.03608473587036133, 0.03609190368652344, 0.0363765754699707, 0.03603148651123047, 0.03598643112182617, 0.03509964752197266, 0.03460403060913086, 0.03459686279296875, 0.034941951751708986, 0.03470131301879883, 0.03467366409301758]",tokens/s,28.131376827659274,,,,,True,main,False,False -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,.,.,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: . does not appear to have a file named config.json. Checkout 'https://huggingface.co/./tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,a,a,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/a/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669475c5-7186ea682bcd418b11682e08;493f8e60-46e2-4a1b-9f8b-d097b7d6e6d3) - -Repository Not Found for url: https://huggingface.co/a/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: a is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.3048939514160156, 0.30459698486328124, 0.30450686645507813, 0.3047280578613281, 0.30469528198242185, 0.3045191650390625, 0.30454373168945315, 0.30466049194335937, 0.30461236572265626, 0.30464410400390624, 0.30468710327148435, 0.3048335266113281, 0.30475674438476563, 0.30505880737304686, 0.3046358947753906, 0.30465945434570313, 0.3046072387695313, 0.30459393310546873, 0.30470144653320314, 0.3046225891113281, 0.30468402099609376, 0.30455502319335936, 0.3047034912109375, 0.30453759765625, 0.30484274291992186, 0.30505880737304686, 0.30459085083007814, 0.3046277160644531, 0.30507110595703124, 0.305070068359375, 0.3045539855957031, 0.30476492309570313, 0.3046778869628906, 0.3049349060058594, 0.30469528198242185, 0.3045928955078125, 0.3047587890625, 0.30453451538085935, 0.30468197631835936, 0.3047198791503906, 0.6447216796875, 0.3044874267578125, 0.304405517578125, 0.3044188232421875, 0.30437579345703125, 0.3046655883789062, 0.3045314636230469, 0.30442291259765625, 0.3044925537109375, 0.3044618225097656, 0.3047331848144531, 0.30446286010742185, 0.3042815856933594, 0.30449356079101564, 0.3046369323730469, 0.3044290466308594, 0.3046092834472656, 0.3045119934082031, 0.304500732421875, 0.3044751281738281, 0.30451507568359376, 0.30488473510742187, 0.30452838134765625, 0.30459185791015625, 0.3049461669921875, 0.3045928955078125, 0.30449868774414063, 0.30482125854492187, 0.30452633666992185, 0.3045498962402344, 0.30454067993164063, 0.30451507568359376, 0.3044894714355469, 0.3045980224609375, 0.30486526489257815, 0.3046451110839844, 0.3047004089355469, 0.3047352294921875, 0.30503115844726564, 0.3046727600097656, 0.3046492309570312, 0.3049768981933594, 0.3047618408203125, 0.30466867065429687, 0.304505859375, 0.304606201171875, 0.3046154174804688, 0.3047106628417969, 0.3045877685546875, 0.3049441223144531, 0.30468814086914064, 0.30472909545898436, 0.30473831176757815, 0.30473626708984375, 0.3050741882324219, 0.304606201171875, 0.30476287841796873, 0.30502398681640625, 0.30474957275390624, 0.3046655883789062, 0.30484274291992186, 0.30459698486328124, 0.30463180541992185]",tokens/s,3.2313293934258858,,,,True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,1,1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/1/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694780f-78cb90d0079b8c611d1ebb79;3f8fe239-cb93-4536-846f-3c4650a5c76d) - -Repository Not Found for url: https://huggingface.co/1/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 1 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: FalconForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.289728,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.27811224365234377, 0.2781562805175781, 0.2782167053222656]",tokens/s,3.5369158711928956,,,,True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: FalconForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,8,8,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/8/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694766f-4cc7d0225e668629017d7cc7;8c9c0717-a8ed-4452-a039-ff08869b3409) - -Repository Not Found for url: https://huggingface.co/8/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 8 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-4B,,cuda,0,42,,,,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,i,i,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/i/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669474fe-464f0ee34f65244b0f42b754;f2b6c667-7c6e-411a-b160-d5f36e2de818) - -Repository Not Found for url: https://huggingface.co/i/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: i is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: DeciLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1443.536896,2426.929152,0.0,1780.482048,1621.410304,s,10,0.7068105316162109,0.07068105316162109,0.00033069583366084575,0.07070081710815429,0.07103355484008789,0.07120412101745605,0.07134057395935059,"[0.07069222259521485, 0.0702221450805664, 0.07099565124511718, 0.07054032135009766, 0.07070941162109375, 0.07019967651367187, 0.07137468719482422, 0.07050953674316406, 0.07078886413574219, 0.07077801513671875]",tokens/s,3621.904153219448,kWh,8.280014542525558e-07,4.5352803657666435e-07,3.715746950839271e-06,4.997276441668491e-06,tokens/kWh,51227904.43718713,MB,1443.536896,2426.929152,0.0,1780.482048,1723.272192,s,10,38.065419677734376,3.8065419677734376,0.002289567625927924,3.8060361328125003,3.8076869140625003,3.8103506591796874,3.8124816552734373,"[3.813014404296875, 3.806056640625, 3.804952880859375, 3.806771484375, 3.8046533203125, 3.805589599609375, 3.80634765625, 3.806015625, 3.807094970703125, 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,0,0,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/0/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669477ac-2f3088803b6bcbc174980a9d;909d9631-b3d0-43c4-ac91-5cf570ac424c) - -Repository Not Found for url: https://huggingface.co/0/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 0 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,2,2,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/2/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669476f7-0749495471d534533bc8a7c0;f4059e8c-fc2d-4e15-8231-caf191c44712) - -Repository Not Found for url: https://huggingface.co/2/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: 2 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,4110.757888,5287.44448,0.0,4640.997376,4330.668544,s,10,3.1969297485351564,0.31969297485351567,0.001348702205900169,0.31914218139648437,0.32145095520019534,0.32196441497802736,0.322375182800293,"[0.3186290283203125, 0.3224778747558594, 0.31885498046875, 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0.2780641174316406, 0.27806719970703125, 0.2780426330566406, 0.2778623962402344, 0.278029296875, 0.278066162109375, 0.2781890563964844, 0.27787982177734377, 0.27800677490234377, 0.2780415954589844, 0.2781695861816406, 0.2779719543457031, 0.2780477294921875, 0.27800985717773435, 0.2780211181640625, 0.2778736572265625, 0.27810714721679686, 0.27792486572265623, 0.27814093017578123, 0.2779535217285156, 0.2780579833984375, 0.2779596862792969, 0.2782637939453125, 0.27796786499023435, 0.27802215576171874, 0.2780498046875, 0.2780979309082031, 0.27786138916015624, 0.2779873352050781, 0.27800473022460936, 0.27812045288085935, 0.2780364685058594, 0.27805490112304687, 0.2780139465332031, 0.2782054443359375, 0.27814910888671873]",tokens/s,3.5386696235742376,,,,True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch - raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") -RuntimeError: Isolated process exited with non-zero code -9 -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947047-0c82fb53474febaa7d656895;22aae7c1-b42a-4aa6-adc6-5efa176f1ad1) - -Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: google/recurrentgemma-7b is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 14.50 MiB is free. Process 100508 has 22.16 GiB memory in use. Of the allocated memory 21.80 GiB is allocated by PyTorch, and 121.66 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,t,t,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/t/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694756e-0a61a1fe6725d84b53ee3a9f;40dbe34f-d8bb-4fd0-8c3d-78986644059d) - -Repository Not Found for url: https://huggingface.co/t/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: t is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1349, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1142, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 868, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 781, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,x,x,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/x/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694769b-5b9368ce67b20af20e631398;4c90301c-280a-4d82-99df-7ddd8ac3f743) - -Repository Not Found for url: https://huggingface.co/x/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: x is not a local folder and is not a valid model identifier listed on 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0.4772536315917969, 0.4778741760253906, 0.4774205322265625, 0.4774891662597656, 0.47754855346679687]",tokens/s,2.062756209806898,,,,True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-14B,,cuda,0,42,,,,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.214-202.855.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.535667724609375, 0.53564208984375, 0.535888916015625, 0.5357485961914062, 0.5358643798828125, 0.5358673706054687, 0.535709716796875, 0.5357373657226563, 0.53574755859375, 0.5356687622070313, 0.5359216918945312, 0.5356953735351563, 0.5358694458007812, 0.5359226684570313, 0.5359185791015625, 0.5357824096679688, 0.535889892578125, 0.536216552734375, 0.5360506591796875, 0.5361254272460938, 0.5361408081054687, 0.5358909301757813, 0.5358079833984375, 0.5359800415039062, 0.5356195678710938, 0.53587353515625, 0.5358345947265625, 0.5359073486328125, 0.535858154296875, 0.5357772827148437, 0.5359022216796875]",tokens/s,1.83571099958843,,,,,False,main,False,False -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 48.50 MiB is free. Process 80651 has 22.13 GiB memory in use. Of the allocated memory 21.81 GiB is allocated by PyTorch, and 85.01 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained - model = cls(config, *model_args, **model_kwargs) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__ - self.model = DeciCoderModel(config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__ - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in - self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)]) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__ - self.self_attn = DeciCoderAttention(config=config) - File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__ - self._init_rope() - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__ - raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"") -AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 512.00 KiB is free. Process 96480 has 22.18 GiB memory in use. Of the allocated memory 21.85 GiB is allocated by PyTorch, and 89.04 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,r,r,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/r/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947598-29d1af9a06cbd05e0b1d1b7b;d178a4ae-ef8d-4b18-a03e-2df93dcf46aa) - -Repository Not Found for url: https://huggingface.co/r/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: r is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.2749798278808594, 0.2751068115234375, 0.27494503784179686]",tokens/s,3.578290079338431,,,,True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 34065 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 557, in from_pretrained - cls.register(config.__class__, model_class, exist_ok=True) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 584, in register - raise ValueError( -ValueError: The model class you are passing has a `config_class` attribute that is not consistent with the config class you passed (model has and you passed . Fix one of those so they match! - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 192.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 40.50 MiB is free. Process 38684 has 22.14 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 14.90 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,m,m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/m/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947303-2dbe4f88654f656771887b47;27c85874-bb7e-472b-bb24-a2fb65ea67bb) - -Repository Not Found for url: https://huggingface.co/m/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: m is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.041204734802246096, 0.04111257553100586, 0.041148414611816404, 0.04114227294921875, 0.04149555206298828, 0.041237503051757815, 0.04102041625976562, 0.04094976043701172, 0.04101324844360352, 0.044114944458007815, 0.04196147155761719, 0.041040897369384766, 0.041403392791748046, 0.04266291046142578, 0.041063423156738284, 0.040989696502685545, 0.041322494506835936, 0.041202686309814454, 0.041095169067382815, 0.04134912109375, 0.04116889572143555, 0.04101222229003906, 0.04140031814575195, 0.041181182861328124, 0.04120985412597656, 0.04117299270629883, 0.041082878112792966, 0.041040897369384766, 0.041635841369628904, 0.0413829116821289, 0.04125183868408203, 0.041434112548828124, 0.04134707260131836, 0.041649150848388675, 0.04229939270019531]",tokens/s,23.845616573876374,,,,True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 76531 has 22.16 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 42.84 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,l,l,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/l/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947602-27dd64b830acb60053bfbc2c;3bee8329-17ee-4664-819f-864fdb8dd437) - -Repository Not Found for url: https://huggingface.co/l/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: l is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,B,B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/B/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947729-7cb5fece1cf0a8f7364d0d52;153455a7-043a-4c1a-a22d-1f7e4a74cb89) - -Repository Not Found for url: https://huggingface.co/B/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: B is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,M,M,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/M/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-669474d3-6417f4a17d225fd42084226a;7815368f-ed88-4755-a8f2-d9c9b49da89c) - -Repository Not Found for url: https://huggingface.co/M/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: M is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.13842022705078125, 0.13834547424316407, 0.13843769836425782, 0.13835667419433595, 0.13826252746582032, 0.13870387268066406, 0.13846733093261718, 0.1384478759765625, 0.13836697387695313, 0.13846733093261718, 0.13832499694824218, 0.1384304656982422, 0.13830450439453126, 0.1384058837890625, 0.1384273986816406, 0.13835877990722656, 0.1384099884033203, 0.1383864288330078, 0.13835980224609376, 0.13846322631835936]",tokens/s,7.109947250322762,,,,True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 373, in cached_file - raise EnvironmentError( -OSError: / does not appear to have a file named config.json. Checkout 'https://huggingface.co///tree/None' for available files. - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,TencentARC/Mistral_Pro_8B_v0.1,TencentARC/Mistral_Pro_8B_v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1395.191808,1596.45696,0.0,950.009856,857.516544,s,10,0.5807296676635743,0.058072966766357426,0.00034456144070889745,0.05796723365783692,0.058138173675537114,0.05861479835510254,0.05899609809875488,"[0.05909142303466797, 0.05802451324462891, 0.05794847869873047, 0.05801567840576172, 0.05795558547973633, 0.0579788818359375, 0.05782329559326172, 0.057954433441162106, 0.05803225708007813, 0.05790512084960937]",tokens/s,4408.247318067187,kWh,6.839628269753551e-07,3.747758243667504e-07,2.899796796392844e-06,3.958535447734949e-06,tokens/kWh,64670382.10974761,MB,1395.48672,1596.45696,0.0,950.009856,888.373248,s,10,31.92044140625,3.1920441406249997,0.02836712052909163,3.19824169921875,3.2185572265625,3.2194255859375,3.2201202734375003,"[3.2202939453125, 3.201953125, 3.19358837890625, 3.211521728515625, 3.208235595703125, 3.1945302734375, 3.194171142578125, 3.2183642578125, 3.14763525390625, 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- benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 6.50 MiB is free. Process 50743 has 22.17 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 46.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,Qwen/Qwen1.5-0.5B,,cuda,0,42,,,,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,,,,,,,,,,,,,,,,,,,,,,,,MB,1432.805376,1686.634496,0.0,1040.187392,943.920128,s,10,0.4931167373657227,0.04931167373657226,0.0015790036548253932,0.0498328800201416,0.05031495361328125,0.05125200500488281,0.05200164611816407,"[0.05218905639648438, 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,s,s,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/s/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6694736c-5aa4e53667b069c23e7a1aa4;faca4462-c73f-4be6-93c2-31e88ffdec20) - -Repository Not Found for url: https://huggingface.co/s/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: s is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' -If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: FalconForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.02879897689819336, 0.029214719772338867, 0.028898303985595702, 0.02874777603149414, 0.028673023223876954, 0.028980224609375, 0.02954444885253906, 0.028702720642089844, 0.028419071197509766, 0.02894233512878418, 0.02902016067504883, 0.028462080001831053, 0.029246463775634765, 0.029022207260131837, 0.029066240310668946, 0.028854272842407228, 0.028976127624511717, 0.028828672409057617, 0.02889625549316406, 0.028762111663818358, 0.0291778564453125, 0.0288143367767334, 0.028923904418945313, 0.029063167572021483, 0.02977894401550293, 0.030877695083618165, 0.029084672927856447, 0.028637184143066406, 0.02876620864868164, 0.02869964790344238, 0.02872319984436035, 0.029259775161743166, 0.02896384048461914, 0.02876825523376465, 0.028856319427490236, 0.028839935302734376, 0.02899865531921387, 0.028818431854248046, 0.029078527450561522, 0.02878361511230469, 0.028450815200805665, 0.028794879913330077, 0.029014015197753908, 0.028877824783325196, 0.02883072090148926, 0.02880614471435547, 0.028762111663818358, 0.028901376724243165, 0.028633087158203126, 0.028802047729492186, 0.028917760848999025, 0.028785663604736327, 0.02904473686218262, 0.029116416931152345, 0.03056537628173828, 0.029884416580200194, 0.029007871627807616, 0.02911846351623535, 0.02882252883911133, 0.028901376724243165, 0.029457408905029295, 0.028849151611328124, 0.028476415634155275, 0.028641279220581056, 0.029297664642333986, 0.030112768173217775, 0.029592575073242186, 0.029062143325805666, 0.029040639877319335, 0.02878976058959961, 0.0289751033782959, 0.02875801658630371, 0.02892799949645996]",tokens/s,34.551950205413476,,,,,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3900, in from_pretrained - hf_quantizer.preprocess_model( - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model - return self._process_model_before_weight_loading(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_gptq.py"", line 76, in _process_model_before_weight_loading - model = self.optimum_quantizer.convert_model(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/quantizer.py"", line 218, in convert_model - self.block_name_to_quantize = get_block_name_with_pattern(model) - File ""/usr/local/lib/python3.10/dist-packages/optimum/gptq/utils.py"", line 77, in get_block_name_with_pattern - raise ValueError(""Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model`"") -ValueError: Block pattern could not be match. Pass `block_name_to_quantize` argument in `quantize_model` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,-,-,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 106, in _inner_fn - validate_repo_id(arg_value) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 160, in validate_repo_id - raise HFValidationError( -huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: '-'. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 466, in cached_file - raise EnvironmentError( -OSError: Incorrect path_or_model_id: '-'. Please provide either the path to a local folder or the repo_id of a model on the Hub. - -",True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.4786329650878906, 0.4785581970214844, 0.4784496765136719, 0.4786165771484375, 0.47869439697265626, 0.4785858459472656, 0.478671875]",tokens/s,2.056424263985222,,,,True,True,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,v,v,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.293824,Linux,x86_64,Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.3.1,,4.42.4,,0.32.1,,,,1.21.2,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 304, in hf_raise_for_status - response.raise_for_status() - File ""/usr/local/lib/python3.10/dist-packages/requests/models.py"", line 1024, in raise_for_status - raise HTTPError(http_error_msg, response=self) -requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/v/resolve/main/config.json - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 402, in cached_file - resolved_file = hf_hub_download( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1221, in hf_hub_download - return _hf_hub_download_to_cache_dir( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1325, in _hf_hub_download_to_cache_dir - _raise_on_head_call_error(head_call_error, force_download, local_files_only) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1823, in _raise_on_head_call_error - raise head_call_error - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1722, in _get_metadata_or_catch_error - metadata = get_hf_file_metadata(url=url, proxies=proxies, timeout=etag_timeout, headers=headers) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py"", line 114, in _inner_fn - return fn(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 1645, in get_hf_file_metadata - r = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 372, in _request_wrapper - response = _request_wrapper( - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py"", line 396, in _request_wrapper - hf_raise_for_status(response) - File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status - raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66947784-7064a8e27cfe9ad4445fedcd;2bf08ec4-464c-42d1-b833-80982834b97f) - -Repository Not Found for url: https://huggingface.co/v/resolve/main/config.json. -Please make sure you specified the correct `repo_id` and `repo_type`. -If you are trying to access a private or gated repo, make sure you are authenticated. - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 102, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 60, in run - backend: Backend = backend_factory(backend_config) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 40, in __init__ - super().__init__(config) - File ""/workspace/optimum_benchmark/backends/base.py"", line 65, in __init__ - self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.model_kwargs) - File ""/workspace/optimum_benchmark/backends/transformers_utils.py"", line 22, in get_transformers_pretrained_config - return AutoConfig.from_pretrained(model, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py"", line 965, in from_pretrained - config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 632, in get_config_dict - config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py"", line 689, in _get_config_dict - resolved_config_file = cached_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py"", line 425, in cached_file - raise EnvironmentError( -OSError: v is not a local folder and is not a valid model identifier listed on 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.42.1,,0.31.0,,,,1.20.0,,,,0.11.1,,,,,,,,,,,,,,,,,,,,,,,,,MB,1336.54528,1292.36992,0.0,645.922816,583.517696,s,10,0.3397931861877441,0.033979318618774415,0.001934910071424721,0.032971408843994146,0.03566902961730957,0.03745379467010498,0.03888160671234131,"[0.03923855972290039, 0.032909088134765625, 0.03527241516113281, 0.0328919677734375, 0.03299142456054688, 0.03283273696899414, 0.03469622421264648, 0.03295139312744141, 0.03290889739990235, 0.033100479125976565]",tokens/s,7533.99451213697,kWh,3.979384447589066e-07,2.1805127691752405e-07,1.234731627515188e-06,1.8507213491916185e-06,tokens/kWh,138324443.12149903,MB,1336.54528,1292.36992,0.0,645.922816,617.915392,s,10,21.585919433593748,2.158591943359375,0.032699156970019405,2.151986328125,2.2039208740234377,2.2094919311523435,2.2139487768554686,"[2.21506298828125, 2.185614990234375, 2.202682861328125, 2.14994970703125, 2.1486455078125, 2.100208251953125, 2.15894091796875, 2.15402294921875, 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0.017135616302490234, 0.017106943130493164, 0.017172479629516603, 0.01700249671936035, 0.01697996711730957, 0.017069055557250978, 0.017059839248657227, 0.017093631744384767, 0.01699430465698242, 0.016945152282714843, 0.016963584899902344, 0.0169881591796875, 0.016965631484985352, 0.01699225616455078, 0.016970752716064453, 0.016982015609741212, 0.016929792404174804, 0.0169932804107666, 0.016961536407470702, 0.01700761604309082, 0.016955392837524414, 0.016863231658935548, 0.016912384033203123, 0.017044479370117188, 0.01678643226623535, 0.016747520446777343, 0.016951295852661134, 0.01702604866027832]",tokens/s,59.084028945261934,,,,,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: BloomForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: BloomForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpqv36wtqg/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation - config = cls._check_and_enable_sdpa( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa - raise ValueError( -ValueError: BloomForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained - config = cls._autoset_attn_implementation( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation - cls._check_and_enable_flash_attn_2( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2 - raise ValueError( -ValueError: BloomForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmphyteww3y/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.021917760848999022, 0.022080448150634764, 0.02202009582519531, 0.022031360626220704, 0.022071296691894532, 0.022503423690795898, 0.022344703674316405, 0.02207334327697754, 0.022021120071411132, 0.02207846450805664, 0.022140928268432617, 0.02205183982849121, 0.022986751556396484, 0.02294272041320801, 0.02209280014038086, 0.02206105613708496, 0.02204979133605957, 0.02207539176940918, 0.02204569625854492, 0.022031360626220704, 0.022005760192871093, 0.022076416015625, 0.02206105613708496, 0.022084672927856444, 0.022029247283935547, 0.02209791946411133]",tokens/s,44.77446844763606,,,,,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 436405 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 411002 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1284, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1079, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 816, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 734, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 10.50 MiB is free. Process 412579 has 22.17 GiB memory in use. Of the allocated memory 21.91 GiB is allocated by PyTorch, and 19.39 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 437146 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4945.010688,7580.680192,0.0,6943.670272,6539.1744,s,1,11.5221337890625,11.5221337890625,0.0,11.5221337890625,11.5221337890625,11.5221337890625,11.5221337890625,[11.5221337890625],,kWh,5.564189592364276e-05,3.0454395850764575e-05,7.819922922602807e-05,0.0001642955210004354,,MB,4851.99872,7880.572928,0.0,7224.68864,6917.39904,s,10,1.1843566970825194,0.11843566970825195,0.0001533379678389937,0.11837452697753906,0.11856348876953125,0.11869699325561524,0.11880379684448243,"[0.11853382110595703, 0.1183333740234375, 0.11831929779052734, 0.11833113861083984, 0.11831148529052735, 0.1184158706665039, 0.11834236907958984, 0.11840668487548828, 0.11883049774169922, 0.11853215789794921]",tokens/s,2161.510975794848,kWh,1.4007599538889635e-06,7.675121062522734e-07,5.721109152047239e-06,7.889381212188476e-06,tokens/kWh,32448679.1948271,MB,4858.40896,7882.67008,0.0,7226.785792,6917.4016,s,10,19.372719848632812,1.9372719848632811,0.015003682048649967,1.9324625244140625,1.9602780639648438,1.9658381896972656,1.970286290283203,"[1.930363037109375, 1.9357528076171875, 1.926427490234375, 1.9266676025390626, 1.9253187255859374, 1.93456201171875, 1.923921142578125, 1.9392662353515624, 1.95904248046875, 1.9713983154296875]",tokens/s,32.51995615083759,kWh,2.283207329194612e-05,1.2512279353240384e-05,6.565958684135322e-05,0.00010100393948653969,tokens/kWh,623738.0474490869,,s,630,19.370462205886852,0.030746765406169583,0.0005051921985688672,0.03052851104736328,0.03148132820129394,0.03176325130462646,0.03243085754394531,"[0.030642175674438478, 0.030537727355957032, 0.03055411148071289, 0.030547967910766603, 0.03060121536254883, 0.030502912521362304, 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 410294 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 408161 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 10.50 MiB is free. Process 413417 has 22.17 GiB memory in use. Of the allocated memory 21.91 GiB is allocated by PyTorch, and 19.39 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.038214656829833986, 0.03694694519042969, 0.03626803207397461, 0.036313087463378906, 0.03638988876342773, 0.03635609436035156, 0.03820646286010742, 0.0367534065246582, 0.038370304107666016, 0.03799347305297852, 0.038487041473388675, 0.03832524871826172, 0.03824435043334961, 0.03637452697753906, 0.03639807891845703, 0.03671039962768555, 0.0392355842590332, 0.03971891021728516, 0.03835289764404297, 0.03855769729614258, 0.03827199935913086, 0.03641446304321289, 0.03639807891845703, 0.036340736389160154, 0.036348926544189454, 0.03678310394287109, 0.0384532470703125, 0.03645849609375, 0.037634048461914066, 0.03648102569580078, 0.03641241455078125, 0.03647180938720703, 0.03664179229736328, 0.03649331283569336, 0.03637247848510742, 0.03634380722045898, 0.03630694580078125, 0.03650764846801758, 0.0365404167175293, 0.03586457443237305, 0.036452350616455076, 0.03645951843261719, 0.03640627288818359, 0.03653017425537109, 0.036370433807373044, 0.03825664138793945, 0.03744768142700195, 0.037340160369873046, 0.038577152252197267, 0.038299648284912106, 0.03633049774169922, 0.0369356803894043, 0.03806924819946289, 0.03823206329345703, 0.0381921272277832, 0.036400127410888675, 0.0362239990234375, 0.03636326217651367, 0.03632844924926758, 0.03628851318359375]",tokens/s,27.0799789983192,,,,,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 409589 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 10.50 MiB is free. Process 416036 has 22.17 GiB memory in use. Of the allocated memory 21.91 GiB is allocated by PyTorch, and 19.39 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.030887935638427736, 0.030939136505126953, 0.030896127700805662, 0.03094937515258789, 0.030830591201782227, 0.030855167388916017, 0.030894079208374024, 0.031112192153930664, 0.032671745300292966, 0.032723968505859374, 0.03186892890930176, 0.03233792114257812, 0.032747520446777346, 0.032527359008789065, 0.03234918212890625, 0.032333824157714845, 0.03244236755371094, 0.032345088958740234, 0.032389118194580076, 0.031077375411987306, 0.03144396781921387, 0.032639999389648434, 0.03264921569824219, 0.03261337661743164, 0.033377281188964845, 0.032753662109375, 0.03250175857543945, 0.03233484649658203, 0.032368640899658206, 0.032366592407226565, 0.031046655654907225, 0.030912511825561522, 0.03084492874145508, 0.030886911392211915, 0.03097599983215332, 0.030842880249023437, 0.03085312080383301, 0.030867456436157226, 0.030881792068481444, 0.030885887145996094, 0.030855167388916017, 0.030861312866210938, 0.030834688186645507, 0.030971904754638672, 0.031071231842041015, 0.030856191635131838, 0.030861312866210938, 0.03082444763183594, 0.030834688186645507, 0.030833663940429686, 0.031070207595825194, 0.030901248931884766, 0.03082035255432129, 0.03095244789123535, 0.030908416748046875, 0.03079680061340332, 0.03081216049194336, 0.030835712432861328, 0.030856191635131838, 0.0307906551361084, 0.03079782485961914, 0.030700544357299804, 0.03083673667907715, 0.030819328308105468, 0.0307906551361084, 0.03076198387145996]",tokens/s,31.464881801570357,,,,,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 10.50 MiB is free. Process 415132 has 22.17 GiB memory in use. Of the allocated memory 21.91 GiB is allocated by PyTorch, and 19.39 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 439243 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3152.30208,4665.638912,0.0,4028.628992,3944.723968,s,1,9.808826171875,9.808826171875,0.0,9.808826171875,9.808826171875,9.808826171875,9.808826171875,[9.808826171875],,kWh,3.554177023333725e-05,1.945987039272514e-05,4.985753988601127e-05,0.00010485918051207367,,MB,3143.016448,5009.57184,0.0,4353.687552,4305.05728,s,10,0.6193112983703614,0.061931129837036136,5.9664948924000795e-05,0.06191521644592285,0.06201044540405273,0.0620319580078125,0.06204916809082031,"[0.062053470611572265, 0.06188256072998047, 0.06193155288696289, 0.06193952178955078, 0.06189577484130859, 0.06189888000488281, 0.061972862243652345, 0.062005664825439455, 0.0618645133972168, 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0.03696230316162109, 0.03680767822265625, 0.03663564682006836, 0.036686847686767575, 0.036675582885742186, 0.03667865753173828, 0.035151870727539065, 0.03618406295776367, 0.036831230163574216, 0.036819969177246094, 0.0365404167175293, 0.03667148971557617, 0.03658342361450195, 0.03639295959472656, 0.03683737564086914, 0.035272705078125, 0.03512934494018555]",tokens/s,27.830715824494224,,,,,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 437781 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1837.707264,3002.597376,0.0,2365.587456,2314.318336,s,1,8.7223515625,8.7223515625,0.0,8.7223515625,8.7223515625,8.7223515625,8.7223515625,[8.7223515625],,kWh,2.2486158258314186e-05,1.2300902959006964e-05,3.159308083000578e-05,6.638014204732693e-05,,MB,1902.493696,3338.141696,0.0,2682.257408,2607.60832,s,10,0.3758921241760254,0.03758921241760254,0.00017484271981905232,0.03755251121520996,0.037786665725708005,0.03785568561553955,0.03791090152740478,"[0.03758179092407227, 0.03740681457519531, 0.03744079971313476, 0.03777132797241211, 0.03734531021118164, 0.037735774993896486, 0.037523231506347655, 0.03767910385131836, 0.037924705505371095, 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 438526 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1284, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1079, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 816, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 734, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,17835.147264,21749.039104,0.0,21112.029184,20595.616256,s,1,17.560490234375,17.560490234375,0.0,17.560490234375,17.560490234375,17.560490234375,17.560490234375,[17.560490234375],,kWh,0.000125109509500693,6.85225919529355e-05,0.0001758234739920872,0.0003694555754457157,,MB,4473.782272,22149.595136,0.0,21493.710848,20907.452928,s,10,4.714118377685548,0.4714118377685548,5.392422972287563e-05,0.4714292449951172,0.47145554809570317,0.4714726318359375,0.471486298828125,"[0.4714149169921875, 0.47132363891601564, 0.4714429626464844, 0.47148971557617186, 0.4713755187988281, 0.4714517517089844, 0.4714274597167969, 0.47131439208984377, 0.4714469909667969, 0.4714310302734375]",tokens/s,543.0495789239943,kWh,5.575054731311774e-06,3.0540519063112185e-06,2.561961645527517e-05,3.4248723092898155e-05,tokens/kWh,7474731.22736901,MB,4478.107648,22172.663808,0.0,21516.77952,20907.455488,s,10,38.0437119140625,3.8043711914062497,0.006480612286064027,3.8040511474609375,3.8105272216796875,3.8131864624023435,3.815313854980469,"[3.808909423828125, 3.809470458984375, 3.809936279296875, 3.79676123046875, 3.7999111328125, 3.806667724609375, 3.8014345703125, 3.800667236328125, 3.794108154296875, 3.815845703125]",tokens/s,16.559898293392514,kWh,4.5254490864593856e-05,2.4803066257506646e-05,0.00018829227689632304,0.0002583498340184235,tokens/kWh,243855.39181537594,,s,630,38.04108491134642,0.060382674462454655,0.0005934803648677941,0.060216320037841796,0.060894411849975585,0.06136284160614014,0.06277958732604981,"[0.06155059051513672, 0.060045310974121094, 0.060369918823242184, 0.06014566421508789, 0.060082176208496096, 0.06037606430053711, 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line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 439932 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.03478732681274414, 0.03483750534057617, 0.034840576171875, 0.03481702423095703, 0.036050945281982424, 0.04009471893310547, 0.03690496063232422, 0.036601856231689454, 0.036557823181152346, 0.03656294250488281, 0.03654553604125976, 0.03657113647460938, 0.03681792068481445, 0.03666841506958008, 0.03659571075439453, 0.03665100860595703, 0.03665817642211914, 0.036598785400390625, 0.036759552001953126, 0.034830337524414064, 0.03493478393554687, 0.03483955383300781, 0.03477503967285156, 0.03489484786987305, 0.03489894485473633, 0.03674828720092774, 0.03666124725341797, 0.03664179229736328, 0.03665100860595703, 0.03654348754882813, 0.034797569274902344, 0.034857982635498046, 0.0347883529663086, 0.03814809417724609, 0.038354942321777344, 0.03663564682006836, 0.036790271759033204, 0.03662233734130859, 0.03651891326904297, 0.03664998245239258, 0.03666841506958008, 0.03654860687255859, 0.036512767791748044, 0.03646976089477539, 0.03663359832763672, 0.03655168151855469, 0.036640766143798825, 0.03655987167358398, 0.03670016098022461, 0.03670220947265625, 0.0368455696105957, 0.03688243103027344, 0.03676160049438477, 0.03668172836303711, 0.03662540817260742, 0.03675033569335937, 0.036618240356445314, 0.036703231811523435, 0.03673190307617188, 0.03664588928222656]",tokens/s,27.715547261520225,,,,,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1284, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1079, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 816, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 734, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1164.591104,1343.750144,0.0,706.740224,681.6384,s,1,7.7149130859375,7.7149130859375,0.0,7.7149130859375,7.7149130859375,7.7149130859375,7.7149130859375,[7.7149130859375],,kWh,1.0758424193073148e-05,5.877144708605115e-06,1.4492511594021984e-05,3.112808049570025e-05,,MB,1608.82688,1652.031488,0.0,996.1472,949.238272,s,10,0.2801420497894287,0.02801420497894287,0.0008441021942593388,0.02841910457611084,0.028587705421447757,0.028833772563934327,0.029030626277923584,"[0.02664703941345215, 0.028410112380981446, 0.028428096771240235, 0.029079839706420897, 0.028533023834228517, 0.026857152938842773, 0.028400575637817383, 0.028510175704956054, 0.026770240783691408, 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0.02308710479736328, 0.02315673637390137, 0.023138303756713868, 0.023532543182373047, 0.02315577507019043, 0.02314131164550781, 0.02308915138244629, 0.023216127395629883, 0.02307379150390625, 0.02312396812438965, 0.023126016616821288, 0.023147520065307618, 0.02314035224914551, 0.023076864242553712, 0.02311680030822754, 0.023258111953735353, 0.023179264068603517, 0.02337283134460449, 0.0231495361328125, 0.02307583999633789, 0.023529472351074218, 0.023183359146118163, 0.022991872787475585, 0.02309427261352539, 0.02333798408508301, 0.02366054344177246]",tokens/s,43.56147964782399,,,,,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-14B,Qwen/Qwen1.5-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 407383 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 10.50 MiB is free. Process 411707 has 22.17 GiB memory in use. Of the allocated memory 21.91 GiB is allocated by PyTorch, and 19.39 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-14B,Qwen/Qwen1.5-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 10.50 MiB is free. Process 414271 has 22.17 GiB memory in use. Of the allocated memory 21.91 GiB is allocated by PyTorch, and 19.39 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1284, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1079, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 816, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 734, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, -4bit-gptq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.03042099189758301, 0.030496768951416016, 0.0303953914642334, 0.030402559280395508, 0.030413824081420897, 0.030886911392211915, 0.030537727355957032, 0.03057049560546875, 0.03041996765136719, 0.03041996765136719, 0.030435327529907227, 0.030496768951416016, 0.030444543838500978, 0.03041996765136719, 0.030414848327636718, 0.03057254409790039, 0.030472192764282226, 0.030958591461181642, 0.03075174331665039, 0.030516223907470705, 0.030509056091308592, 0.03041279983520508, 0.030726144790649414, 0.030650367736816408, 0.031097856521606446, 0.030693376541137695, 0.030460927963256838]",tokens/s,32.69716357705148,,,,,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained - model_class = get_class_from_dynamic_module( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module - final_module = get_cached_module_file( - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file - modules_needed = check_imports(resolved_module_file) - File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports - raise ImportError( -ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` - -",,,,, -4bit-gptq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run - self.run_model_loading_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking - backend.load() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load - self.load_transformers_model() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model - self.load_transformers_model_with_no_weights() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights - self.load_transformers_model_from_pretrained() - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained - self.pretrained_model = self.automodel_loader.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained - return model_class.from_pretrained( - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained - dispatch_model(model, **device_map_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model - model.to(device) - File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to - return super().to(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to - return self._apply(convert) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply - module._apply(fn) - [Previous line repeated 2 more times] - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply - self._buffers[key] = fn(buf) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert - return t.to( -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 56.50 MiB is free. Process 408868 has 22.12 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 10.15 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. 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A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1284, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1079, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 816, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 734, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, -4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,gptq,4,True,1,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): - File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark - benchmark_report = Benchmark.launch(benchmark_config) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch - report = launcher.launch(worker=cls.run, worker_args=[config]) - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch - raise ChildProcessError(response[""traceback""]) -ChildProcessError: Traceback (most recent call last): - File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target - report = worker(*worker_args) - File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run - report = scenario.run(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run - self.run_text_generation_memory_tracking(backend) - File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking - _ = backend.prefill(self.inputs, prefill_kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill - return self.pretrained_model.generate(**inputs, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context - return func(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate - result = self._sample( - File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample - outputs = self(**model_inputs, return_dict=True) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1284, in forward - outputs = self.model( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 1079, in forward - layer_outputs = decoder_layer( - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 816, in forward - hidden_states = self.mlp(hidden_states) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl - return self._call_impl(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl - return forward_call(*args, **kwargs) - File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2_moe/modeling_qwen2_moe.py"", line 734, in forward - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) -RuntimeError: CUDA error: invalid configuration argument -CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. -For debugging consider passing CUDA_LAUNCH_BLOCKING=1 -Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. - - -",,,,, -4bit-gptq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,gptq,4,True,2,256,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,17831.215104,21749.039104,0.0,21112.029184,20595.616256,s,1,17.377646484375,17.377646484375,0.0,17.377646484375,17.377646484375,17.377646484375,17.377646484375,[17.377646484375],,kWh,0.0001252662858263774,6.863430603772352e-05,0.00018167681200803587,0.0003755774038721368,,MB,4497.727488,22149.595136,0.0,21493.710848,20907.452928,s,10,4.714543304443359,0.47145433044433593,4.878899007337957e-05,0.47143682861328123,0.4715101837158203,0.4715288192749023,0.47154372772216796,"[0.4715018310546875, 0.47150604248046873, 0.47142633056640626, 0.47140716552734374, 0.47154745483398436, 0.4714020690917969, 0.4714799499511719, 0.4714442138671875, 0.4713988037109375, 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