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4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 741, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-7B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-7B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,Deci/DeciLM-7B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,4464.287744,5279.055872,0.0,4632.608768,4516.927488,s,10,3.322807861328125,0.33228078613281253,0.00047834574054311536,0.3321116943359375,0.33292347106933595,0.3330966842651367,0.33323525482177735,"[0.33217636108398435, 0.3320875549316406, 0.3326549987792969, 0.3321318054199219, 0.3328849792480469, 0.33209158325195315, 0.3332698974609375, 0.3315861511230469, 0.3318814697265625, 0.3320430603027344]",tokens/s,770.4327505041982,kWh,3.922594437462455e-06,2.1491574481549307e-06,1.9671691364580957e-05,2.574344325019834e-05,tokens/kWh,9944279.695297856,MB,4465.156096,5279.055872,0.0,4632.608768,4542.985728,s,10,182.73588867187502,18.273588867187502,0.002576806044302117,18.27396484375,18.277111523437497,18.27734970703125,18.27754025390625,"[18.269603515625, 18.269658203125, 18.27247265625, 18.273525390625, 18.2750703125, 18.27705859375, 18.272091796875, 18.277587890625, 18.274416015625, 18.274404296875]",tokens/s,3.4475986330810104,kWh,0.00021568982703871627,0.0001182162654096576,0.0010533487226066119,0.0013872548150549858,tokens/kWh,45413.430406801584,,s,629,185.43583731079087,0.2948105521634197,0.03954700006280358,0.28999884033203127,0.29023006591796874,0.2903502990722656,0.62266271484375,"[0.29081805419921875, 0.29032345581054686, 0.2899527587890625, 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4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-14B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-14B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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`

"
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4bit-gptq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-72B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-72B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,01-ai/Yi-6B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,3694.518272,5211.947008,0.0,4565.499904,4314.999808,s,10,2.767426849365234,0.27674268493652343,0.0006303414192351022,0.2766836395263672,0.27747062988281246,0.2778101898193359,0.27808183776855466,"[0.27638116455078127, 0.2758473815917969, 0.27696807861328127, 0.276781005859375, 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4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-1.4b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-1.4b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,EleutherAI/pythia-70m,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-70m,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,Deci/DeciCoder-1b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 741, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-7B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-7B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,Deci/DeciLM-7B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciLM-7B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 558, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, 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,EleutherAI/gpt-j-6b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/gpt-j-6b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, 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,Qwen/Qwen1.5-0.5B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,1425.276928,1686.634496,0.0,1040.187392,943.920128,s,10,0.4963994178771972,0.04963994178771972,0.001167031203269478,0.049792783737182614,0.050235086441040036,0.05112939929962158,0.051844849586486816,"[0.052023712158203124, 0.04979683303833008, 0.04990054321289063, 0.04972150421142578, 0.049788734436035154, 0.049963134765625, 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4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-160m,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-160m,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,EleutherAI/pythia-1.3b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-1.3b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,EleutherAI/pythia-2.7b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-2.7b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,Qwen/Qwen1.5-14B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,,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, 0.6166927490234375, 0.617082763671875, 0.6173292846679688, 0.6172203979492188, 0.6164153442382813, 0.6180755615234375, 0.6194420776367188, 0.620140625, 0.6201061401367187]",tokens/s,414.28529153594513,kWh,7.284492750962576e-06,3.991580694684457e-06,3.91370084337663e-05,5.041308187941334e-05,tokens/kWh,5078047.015898467,MB,3992.109056,12218.53184,0.0,11572.084736,11417.442816,s,10,337.7582734375,33.77582734375,0.0018514865161095365,33.776255859375,33.777652734375,33.7777775390625,33.7778773828125,"[33.775578125, 33.77729296875, 33.77443359375, 33.777484375, 33.77612109375, 33.77790234375, 33.7730078125, 33.7724375, 33.776390625, 33.777625]",tokens/s,1.8652392836694713,kWh,0.00039873445866836445,0.00021854115969749565,0.002154927330149635,0.002772202948515495,tokens/kWh,22725.60890022005,,s,629,342.78417449951223,0.544966891096203,0.07347847726131472,0.5360609130859375,0.5363870361328125,0.5365364990234375,1.1536408984375002,"[0.5359658203125, 0.5360260009765625, 0.5359830932617188, 0.5357762451171875, 0.5358079833984375, 0.5357578125, 0.536057861328125, 0.5358643188476563, 0.5358817138671875, 0.5360762939453125, 0.5358797607421875, 0.5359031982421875, 0.5359114379882812, 0.535762939453125, 0.5361029052734375, 0.5359216918945312, 0.5361571655273437, 0.5362728881835938, 0.5359862060546875, 0.5363558349609375, 0.53625341796875, 0.5360670776367188, 0.5360250854492188, 0.5361551513671875, 0.5358868408203125, 0.5363343505859375, 0.53604248046875, 0.53614599609375, 0.5357413330078125, 0.5361039428710938, 0.5360609130859375, 0.535994384765625, 0.5358919677734375, 0.5362943725585938, 0.5358212890625, 0.5360732421875, 0.5360598754882813, 0.5360128173828125, 0.536158203125, 0.5361387329101562, 0.53642138671875, 0.5362493286132812, 0.536437744140625, 0.5364603881835938, 0.5359768676757812, 0.5361715698242188, 0.5362175903320312, 0.5359380493164062, 0.53612646484375, 0.53635888671875, 0.5363887939453125, 0.5363740844726562, 0.5362288818359375, 0.5360537719726562, 0.5364336547851563, 0.53607421875, 0.5363271484375, 0.5363067016601563, 0.5362882690429688, 0.5363281860351562, 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0.5363394775390625, 0.5362810668945313, 0.5360557861328125, 0.5361285400390625, 0.535868408203125, 0.5360045776367187, 0.5358489379882813, 0.5356820678710937, 0.536005615234375, 0.5358970947265626, 0.5360179443359375, 0.5362861938476563, 0.5363015747070312, 0.5365145874023437, 0.5360169067382813, 0.5357752075195312, 0.5362216796875, 0.536158203125, 0.5358131103515625, 0.5376022338867188, 0.536208251953125, 0.536542236328125, 0.5358131103515625, 0.5360281372070312, 0.5361243896484374, 0.5358212890625, 0.5360148315429687, 0.536268798828125, 0.5359216918945312, 0.5361305541992187, 0.5359134521484376, 0.536026123046875, 0.536110107421875, 0.53586328125, 0.5362237548828125, 0.5360230102539062, 0.5360865478515625, 0.5360476684570312, 0.5360148315429687, 0.5359800415039062, 0.5362421875, 0.5360383911132812, 0.5362329711914062, 0.5365883178710937, 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,,,,,,
4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/gpt-neo-1.3B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/gpt-neo-1.3B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, 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,EleutherAI/gpt-neox-20b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/gpt-neox-20b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,Qwen/Qwen1.5-4B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,3170.7136,5144.838144,0.0,4498.39104,4272.10752,s,10,1.7295902862548826,0.1729590286254883,0.000569120892257992,0.17292961883544922,0.17366525115966797,0.17386814804077147,0.1740304655456543,"[0.17321171569824217, 0.173265625, 0.17233097839355468, 0.17362016296386718, 0.17238882446289064, 0.1727006072998047, 0.17238227844238282, 0.17315863037109375, 0.17246041870117187, 0.174071044921875]",tokens/s,1480.119320942314,kWh,2.0397302576865275e-06,1.1176722405974126e-06,1.0621440489481984e-05,1.3778842987765924e-05,tokens/kWh,18579208.735254437,MB,3170.7136,5144.838144,0.0,4498.39104,4389.692928,s,10,92.76395019531249,9.27639501953125,0.0008333610688995111,9.27675537109375,9.2772673828125,9.2773236328125,9.2773686328125,"[9.276734375, 9.2769248046875, 9.2753828125, 9.276984375, 9.2773798828125, 9.2758388671875, 9.2767763671875, 9.275958984375, 9.2772548828125, 9.27471484375]",tokens/s,6.791431355322284,kWh,0.00010941266093959754,5.9966488682221725e-05,0.000567710661064709,0.0007370898106865281,tokens/kWh,85471.26698349224,,s,629,94.17231869506831,0.1497175177982009,0.020607877601054817,0.14718360900878907,0.14736609497070313,0.14766083984375,0.3201910009765625,"[0.14791673278808593, 0.14785125732421875, 0.14769363403320312, 0.1472143096923828, 0.1471303405761719, 0.14700440979003906, 0.1472174072265625, 0.14719692993164063, 0.14710374450683594, 0.1470556182861328, 0.147167236328125, 0.1471109161376953, 0.1470586853027344, 0.14704025268554688, 0.14717645263671875, 0.1472379150390625, 0.14722454833984375, 0.1470148468017578, 0.1471721649169922, 0.14715904235839844, 0.1471662139892578, 0.14702490234375, 0.14723484802246095, 0.1471794891357422, 0.148347900390625, 0.147051513671875, 0.14726144409179687, 0.1472051239013672, 0.147061767578125, 0.1470996551513672, 0.14726246643066407, 0.14719078063964844, 0.14710578918457032, 0.14708018493652344, 0.14713754272460938, 0.14721229553222656, 0.147230712890625, 0.14723992919921874, 0.1472491455078125, 0.14717453002929687, 0.14715788269042968, 0.147061767578125, 0.14725120544433593, 0.14722866821289063, 0.14708224487304689, 0.14719692993164063, 0.14744883728027344, 0.14726246643066407, 0.14745805358886718, 0.1475030975341797, 0.14739263916015624, 0.1472490234375, 0.14724403381347656, 0.14717747497558595, 0.1471805419921875, 0.1471805419921875, 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4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-14B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-14B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,EleutherAI/pythia-12b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-12b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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"")`

"
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4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/polyglot-ko-12.8b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/polyglot-ko-12.8b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,EleutherAI/gpt-neo-125m,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/gpt-neo-125m,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, 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,EleutherAI/pythia-410m,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-410m,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,Qwen/Qwen-72B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-72B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,01-ai/Yi-6B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,3701.59616,5211.947008,0.0,4565.499904,4314.999808,s,10,2.771255920410156,0.2771255920410156,0.00029265178865921606,0.2772394104003906,0.27741130981445317,0.27742295532226563,0.27743227172851564,"[0.2771674499511719, 0.27667041015625, 0.27740872192382815, 0.27729623413085935, 0.27718258666992185, 0.27669113159179687, 0.2767269897460938, 0.27743460083007815, 0.2773182373046875, 0.27735955810546875]",tokens/s,923.768888014179,kWh,3.2680099611883766e-06,1.7907169179051304e-06,1.608762548269963e-05,2.114635236179314e-05,tokens/kWh,12106106.794216497,MB,3701.59616,5211.947008,0.0,4565.499904,4383.67232,s,10,150.93468164062503,15.0934681640625,0.0013911997912344483,15.09307861328125,15.094794531249999,15.0958650390625,15.0967214453125,"[15.093451171875, 15.09265625, 15.0926240234375, 15.0916435546875, 15.0934912109375, 15.0939462890625, 15.094556640625, 15.0926708984375, 15.096935546875, 15.0927060546875]",tokens/s,4.173990981741546,kWh,0.0001781148044858967,9.762145915682424e-05,0.0008601473810603028,0.001135883644703024,tokens/kWh,55463.4273446831,,s,629,153.18892863464356,0.2435436067323427,0.03298411783927064,0.2395125732421875,0.23975587158203127,0.2400458740234375,0.51716921875,"[0.23962521362304687, 0.23957913208007814, 0.23947366333007813, 0.23956378173828125, 0.2395156555175781, 0.23946138000488282, 0.2396405792236328, 0.23988429260253907, 0.23940608215332032, 0.23936000061035156, 0.23939686584472655, 0.23954637145996094, 0.23939482116699218, 0.24039013671875, 0.239351806640625, 0.23945216369628905, 0.23934463500976563, 0.23947161865234376, 0.23968870544433593, 0.23962112426757812, 0.23973068237304687, 0.2398709716796875, 0.23999897766113282, 0.23962112426757812, 0.23948800659179686, 0.23946138000488282, 0.23949110412597657, 0.2394726104736328, 0.24034407043457032, 0.23956991577148437, 0.23959552001953124, 0.23933541870117186, 0.239531005859375, 0.23950950622558595, 0.2393456573486328, 0.23947366333007813, 0.2393026580810547, 0.23986688232421874, 0.23954328918457032, 0.23956275939941407, 0.23944499206542968, 0.23935186767578126, 0.23938758850097655, 0.23946751403808594, 0.2392289276123047, 0.2394982452392578, 0.23950540161132813, 0.23952793884277343, 0.23945523071289063, 0.23967231750488283, 0.23963034057617189, 0.2395617218017578, 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0.23954432678222656]",tokens/s,4.106040858214816,,,,,,
4bit-gptq-exllama-v1-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/gpt-neo-2.7B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/gpt-neo-2.7B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, 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,EleutherAI/pythia-6.7b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-6.7b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-1.4b,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,1595.359232,2173.17376,0.0,1526.726656,1394.863104,s,10,0.6623263702392578,0.06623263702392578,0.00023606018108147416,0.06618220901489258,0.06632227020263672,0.06662019195556641,0.06685852935791016,"[0.0669181137084961, 0.06611609649658202, 0.06618179321289062, 0.06608083343505859, 0.06618262481689453, 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0.009198592185974122, 0.009185279846191406, 0.009109503746032714, 0.009128959655761718, 0.009093119621276855, 0.00921497631072998, 0.009187328338623046, 0.00921292781829834, 0.009129983901977539, 0.009110527992248535, 0.009033727645874023, 0.009046015739440917, 0.009069567680358886, 0.009292799949645996, 0.009153535842895508, 0.009305120468139649]",tokens/s,107.28987669378871,,,,,,
4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 741, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-7B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-7B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,Deci/DeciLM-7B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,4455.288832,5279.055872,0.0,4632.608768,4516.927488,s,10,3.3255285949707036,0.33255285949707036,0.0006116279298725202,0.3322843627929688,0.33356247253417964,0.3336091781616211,0.33364654266357424,"[0.33224661254882815, 0.3336558837890625, 0.331931884765625, 0.3325700988769531, 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0.07172608184814454, 0.07232614135742188, 0.07174861145019532, 0.07182540893554687, 0.07194419097900391]",tokens/s,13.702426451450826,,,,,,
4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-14B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-14B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,EleutherAI/pythia-12b,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,1625.489408,9251.06176,0.0,8604.614656,8169.819136,s,10,5.2791528930664064,0.5279152893066407,0.0003581151444995349,0.5278824462890626,0.5283488525390625,0.5284413024902344,0.5285152624511719,"[0.5278015747070313, 0.5275886840820313, 0.527384521484375, 0.5282894897460938, 0.5285337524414062, 0.5276110229492188, 0.5276295776367188, 0.5279633178710937, 0.5280226440429687, 0.5283283081054687]",tokens/s,484.92628492769774,kWh,6.236173961943354e-06,3.4162381473690497e-06,3.2366824139055294e-05,4.2019236248367696e-05,tokens/kWh,6092447.71815539,MB,1625.489408,9251.06176,0.0,8604.614656,8459.212288,s,10,301.011634765625,30.101163476562498,0.0017499285111134016,30.10041015625,30.10332734375,30.103745703125,30.104080390625,"[30.0994453125, 30.09983203125, 30.103234375, 30.099732421875, 30.100041015625, 30.102771484375, 30.102595703125, 30.0990390625, 30.100779296875, 30.1041640625]",tokens/s,2.0929423558346287,kWh,0.00035529358194498294,0.00019473242726624065,0.0018475887076019402,0.002397614716813164,tokens/kWh,26276.114989708465,,s,629,305.2849417114255,0.4853496688575927,0.06275887332196527,0.4778260498046875,0.47815392456054684,0.4782845947265625,1.00580087890625,"[0.4777001037597656, 0.47787213134765627, 0.4776857604980469, 0.47745538330078124, 0.47746044921875, 0.477127685546875, 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4bit-gptq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-72B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-72B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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`

"
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4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 741, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-7B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-7B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,Deci/DeciLM-7B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,4414.5664,5279.055872,0.0,4632.608768,4516.927488,s,10,3.32572265625,0.332572265625,0.0003450573576817999,0.33253726196289063,0.33292726745605467,0.3331220962524414,0.3332779592895508,"[0.3325097351074219, 0.3325647888183594, 0.3319704895019531, 0.332751953125, 0.3328839721679687, 0.33237548828125, 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4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-14B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-14B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,EleutherAI/pythia-12b,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,1627.56608,9251.06176,0.0,8604.614656,8168.771072,s,10,5.3975961303710935,0.5397596130371094,0.003354405434748526,0.5386120300292969,0.5400619018554688,0.5449371398925781,0.5488373303222657,"[0.5498123779296875, 0.5384815673828125, 0.5387099609375, 0.5385963134765624, 0.5388143310546875, 0.5385869750976563, 0.5386277465820313, 0.538978515625, 0.5385692749023437, 0.5384190673828125]",tokens/s,474.2852073713777,kWh,6.365189557535607e-06,3.487789578713617e-06,3.2651385770211595e-05,4.250436490646082e-05,tokens/kWh,6022910.836648851,MB,1627.56608,9251.06176,0.0,8604.614656,8459.203072,s,10,305.39571289062496,30.5395712890625,0.003338587488741805,30.5398291015625,30.543866015625,30.544282617187502,30.544615898437502,"[30.536814453125, 30.539501953125, 30.542396484375, 30.54099609375, 30.533814453125, 30.54015625, 30.5437734375, 30.54469921875, 30.53613671875, 30.537423828125]",tokens/s,2.062897327657083,kWh,0.00036051731153799785,0.00019759467733127933,0.0018429401424795864,0.0024010521313488635,tokens/kWh,26238.49735599362,,s,629,309.75817761230496,0.49246133165708217,0.0640358823451233,0.48475238037109375,0.48512091674804686,0.4852720764160156,1.0237376928710937,"[0.4851128234863281, 0.484463623046875, 0.48457626342773436, 0.4842936401367188, 0.4846950988769531, 0.484328369140625, 0.48442059326171877, 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4bit-gptq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-72B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-72B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,01-ai/Yi-6B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,3689.066496,5211.947008,0.0,4565.499904,4315.13088,s,10,2.8045252990722656,0.2804525299072266,0.00062484693400047,0.28048956298828126,0.2810666198730469,0.2813779449462891,0.2816270050048828,"[0.2808427429199219, 0.27973049926757815, 0.2806927490234375, 0.28070648193359377, 0.2809974365234375, 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0.010276864051818848]",tokens/s,103.32453764244141,,,,,,
4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 741, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-7B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-7B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,Deci/DeciLM-7B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,4298.846208,5279.055872,0.0,4632.608768,4516.927488,s,10,3.326992431640625,0.3326992431640625,0.0005377010583483984,0.33267803955078123,0.3333902648925781,0.33346829528808597,0.3335307196044922,"[0.3327217102050781, 0.3333729248046875, 0.3327576904296875, 0.33179364013671875, 0.33354632568359377, 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4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-14B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-14B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,EleutherAI/pythia-12b,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,1622.212608,9251.06176,0.0,8604.614656,8168.771072,s,10,5.397976928710937,0.5397976928710937,0.003252957682081113,0.5387704162597656,0.5401446716308593,0.5448378387451172,0.5485923724365234,"[0.549531005859375, 0.5386148681640625, 0.5385223999023437, 0.53890478515625, 0.5386381225585938, 0.5383339233398438, 0.5389730224609375, 0.538454345703125, 0.5391017456054688, 0.5389027099609375]",tokens/s,474.2517490921067,kWh,6.3643190857262646e-06,3.4873607123077623e-06,3.2867877171473636e-05,4.271955696950766e-05,tokens/kWh,5992571.509642001,MB,1622.540288,9251.06176,0.0,8604.614656,8459.203072,s,10,305.363953125,30.5363953125,0.005050649393459476,30.535573242187503,30.5427779296875,30.543360644531248,30.54382681640625,"[30.52715625, 30.53141796875, 30.532693359375, 30.534486328125, 30.535181640625, 30.539751953125, 30.543943359375, 30.53596484375, 30.5426484375, 30.540708984375]",tokens/s,2.0631118819126337,kWh,0.0003604710577829191,0.00019756927424735148,0.001843702957417324,0.002401743289447595,tokens/kWh,26230.946611488238,,s,629,309.7273792724611,0.4924123676827677,0.06401982088875056,0.48471142578125,0.4851081359863281,0.48529329833984375,1.0234545581054688,"[0.4844134521484375, 0.48424960327148436, 0.4838768615722656, 0.4840509338378906, 0.4839444580078125, 0.484358154296875, 0.4844482421875, 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4bit-gptq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-72B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-72B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,01-ai/Yi-6B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,3691.425792,5211.947008,0.0,4565.499904,4315.13088,s,10,2.8053516845703124,0.2805351684570313,0.0004480646012681654,0.28061317443847655,0.28096784057617186,0.2810714141845703,0.28115427307128904,"[0.2804563903808594, 0.27977456665039063, 0.28117498779296873, 0.28078695678710935, 0.2808992919921875, 0.28094482421875, 0.27981097412109374, 0.2802847290039063, 0.28076995849609376, 0.28044900512695314]",tokens/s,912.5415590780402,kWh,3.3092777670165643e-06,1.813301800711997e-06,1.6326147320167017e-05,2.1448726887895576e-05,tokens/kWh,11935440.33349931,MB,3691.425792,5211.947008,0.0,4565.499904,4383.673344,s,10,151.18848046875,15.118848046874998,0.0027821151656467562,15.11984619140625,15.12149365234375,15.121812255859375,15.122067138671875,"[15.1142509765625, 15.114376953125, 15.116474609375, 15.1179326171875, 15.1195205078125, 15.120171875, 15.1214228515625, 15.122130859375, 15.121267578125, 15.120931640625]",tokens/s,4.166984138253961,kWh,0.0001784252902791824,9.779173102294405e-05,0.0008596400256744463,0.001135857046976573,tokens/kWh,55464.72610060708,,s,629,153.47323796081554,0.24399560884072405,0.03338408494625594,0.23994061279296874,0.24014356079101562,0.24033689270019531,0.5206728076171875,"[0.23988018798828126, 0.23966412353515626, 0.2399303741455078, 0.23972662353515625, 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4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-1.4b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-1.4b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,EleutherAI/pythia-70m,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-70m,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,Deci/DeciCoder-1b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 741, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-7B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-7B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,Deci/DeciLM-7B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciLM-7B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 558, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, 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,EleutherAI/gpt-j-6b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/gpt-j-6b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, 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,Qwen/Qwen1.5-0.5B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,,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, 0.049720512390136716, 0.04971408081054687, 0.04689712142944336, 0.049965919494628905, 0.050049182891845706, 0.04703388977050781, 0.0474950065612793, 0.04994524765014648, 0.05010671997070312]",tokens/s,5191.468482038894,kWh,5.748676274779545e-07,3.1500203810617106e-07,1.5681876083784666e-06,2.4580572739625925e-06,tokens/kWh,104147288.47522204,MB,1433.133056,1686.634496,0.0,1040.187392,943.922688,s,10,30.323859130859375,3.032385913085937,0.042666442672544616,3.0367078857421874,3.0762851318359377,3.083962268066406,3.090103977050781,"[3.048288818359375, 3.064725830078125, 3.021653076171875, 2.992551513671875, 2.9747451171875, 3.0745791015625, 2.96072412109375, 3.0698251953125, 3.091639404296875, 3.025126953125]",tokens/s,20.775719781618243,kWh,3.628376339728007e-05,1.9885169066191453e-05,8.819707864822439e-05,0.00014436601111169592,tokens/kWh,436390.8063599328,,s,629,30.716823547363276,0.04883437765876515,0.0060169018769152755,0.04840857696533203,0.04977171096801758,0.049963623046874996,0.09535458435058594,"[0.04784435272216797, 0.0486297607421875, 0.048228351593017575, 0.04748601531982422, 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4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-160m,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-160m,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,EleutherAI/pythia-1.3b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-1.3b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,EleutherAI/pythia-2.7b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-2.7b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,Qwen/Qwen1.5-14B,transformers,cuda,0,42,,,main,False,False,False,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 A10G'],1,24146608128,0.2.0,56387f0ed9acb6808de92d1e9f4c4b67cc3f2798,4.40.2,,0.30.0,,,,1.19.1,,,,0.10.0,,MB,3991.42912,12218.53184,0.0,11572.084736,11067.6992,s,10,6.169018859863281,0.6169018859863281,0.0006143848204495043,0.6168476867675781,0.6177305908203126,0.6177555847167969,0.6177755798339845,"[0.6164817504882812, 0.6169854736328125, 0.6172991943359375, 0.6177250366210938, 0.6173790283203126, 0.6177805786132813, 0.6158299560546875, 0.6166307373046875, 0.6167098999023437, 0.6161972045898437]",tokens/s,414.97684772141145,kWh,7.279734644624921e-06,3.988978911205348e-06,3.927705756541092e-05,5.0545771121241186e-05,tokens/kWh,5064716.480157118,MB,3991.42912,12218.53184,0.0,11572.084736,11417.442816,s,10,337.63061328125,33.763061328125,0.00225096621642262,33.763652343749996,33.765573046875005,33.7657611328125,33.7659116015625,"[33.76119921875, 33.7635546875, 33.76400390625, 33.76501171875, 33.76553125, 33.76594921875, 33.76088671875, 33.76237109375, 33.76375, 33.75835546875]",tokens/s,1.8659445418096703,kWh,0.0003985123106837273,0.00021841917147055615,0.002184355276894591,0.0028012867590488746,tokens/kWh,22489.6647215762,,s,629,342.6465277709964,0.5447480568696281,0.0733593452296599,0.5358714599609375,0.5361645751953125,0.5362993408203125,1.153045400390625,"[0.5356687622070313, 0.535673828125, 0.5356615600585938, 0.5357639770507813, 0.5357711181640625, 0.5356759033203125, 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0.5358909301757813, 0.5358079833984375, 0.5359800415039062, 0.5356195678710938, 0.53587353515625, 0.5358345947265625, 0.5359073486328125, 0.535858154296875, 0.5357772827148437, 0.5359022216796875]",tokens/s,1.83571099958843,,,,,,
4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/gpt-neo-1.3B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/gpt-neo-1.3B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, 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,EleutherAI/gpt-neox-20b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/gpt-neox-20b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,Qwen/Qwen1.5-4B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,3174.096896,5144.838144,0.0,4498.39104,4272.10752,s,10,1.7286483306884766,0.17286483306884765,0.0005993797805501057,0.17293777465820312,0.17336760101318358,0.17380905227661134,0.1741622132873535,"[0.17287689208984375, 0.1730338592529297, 0.17206895446777343, 0.17326950073242187, 0.17221299743652344, 0.17263043212890625, 0.1722931823730469, 0.17301335144042967, 0.17425050354003907, 0.1729986572265625]",tokens/s,1480.925850881664,kWh,2.037112086554597e-06,1.1162461613852868e-06,1.0556234498620402e-05,1.3709592746560284e-05,tokens/kWh,18673056.503755737,MB,3174.096896,5144.838144,0.0,4498.39104,4389.692928,s,10,92.663412109375,9.266341210937501,0.0013458288533201022,9.26680078125,9.268084667968749,9.268100927734375,9.268113935546875,"[9.2681171875, 9.266818359375, 9.2659326171875, 9.2669384765625, 9.2680810546875, 9.2670830078125, 9.26480859375, 9.265033203125, 9.266783203125, 9.26381640625]",tokens/s,6.798799932560018,kWh,0.00010932210529558504,5.991687564815634e-05,0.0005677240336807782,0.0007369630146245196,tokens/kWh,85485.97249768133,,s,629,94.07109530639643,0.1495565903122361,0.02061418714890365,0.14701670837402345,0.14723359069824218,0.1475557373046875,0.3201883349609375,"[0.14778675842285155, 0.14767308044433594, 0.14757171630859375, 0.14734848022460936, 0.14696858215332032, 0.14699623107910156, 0.1469265899658203, 0.14701158142089843, 0.14687846374511718, 0.14724201965332032, 0.14696444702148437, 0.14699623107910156, 0.14686924743652344, 0.1470055694580078, 0.146968505859375, 0.1470177001953125, 0.14702076721191407, 0.14695840454101564, 0.14695315551757812, 0.147051513671875, 0.14691328430175782, 0.14694912719726563, 0.14707200622558594, 0.14713548278808594, 0.14800384521484375, 0.14704742431640624, 0.14702899169921874, 0.14693887329101563, 0.1469276123046875, 0.1470371856689453, 0.147051513671875, 0.14701568603515625, 0.14691941833496094, 0.14705049133300782, 0.14706483459472655, 0.1472430114746094, 0.14706585693359375, 0.1470967102050781, 0.14701043701171876, 0.1469818878173828, 0.14695730590820313, 0.1470750732421875, 0.14713037109375, 0.147167236328125, 0.14694195556640624, 0.1470320587158203, 0.14695834350585937, 0.14702284240722657, 0.1479034881591797, 0.14710578918457032, 0.1470392608642578, 0.14708425903320313, 0.14699212646484375, 0.14706687927246093, 0.147056640625, 0.1470750732421875, 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4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen-14B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-14B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,EleutherAI/pythia-12b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-12b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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"")`

"
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4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/polyglot-ko-12.8b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/polyglot-ko-12.8b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,EleutherAI/gpt-neo-125m,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/gpt-neo-125m,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, 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,EleutherAI/pythia-410m,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-410m,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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,Qwen/Qwen-72B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Qwen/Qwen-72B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 550, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 489, 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 315, 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 180, 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,01-ai/Yi-6B,transformers,cuda,0,42,,,main,False,False,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'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,MB,3679.408128,5211.947008,0.0,4565.499904,4314.999808,s,10,2.770161926269531,0.2770161926269531,0.00038954072677746337,0.2770776824951172,0.27734534912109376,0.27749934997558595,0.2776225506591797,"[0.27674261474609374, 0.2769847412109375, 0.27730987548828123, 0.27728759765625, 0.27635653686523437, 0.2764561767578125, 0.27765335083007814, 0.2768892822265625, 0.2773111267089844, 0.27717062377929685]",tokens/s,924.1337034212481,kWh,3.2681062683328856e-06,1.7907745392713457e-06,1.5940996236273228e-05,2.099987704387746e-05,tokens/kWh,12190547.56678383,MB,3679.408128,5211.947008,0.0,4565.499904,4383.67232,s,10,150.9271240234375,15.09271240234375,0.0017216066376353506,15.09195849609375,15.09526240234375,15.095902685546875,15.096414912109376,"[15.091583984375, 15.091341796875, 15.091705078125, 15.09104296875, 15.0922578125, 15.0917822265625, 15.0951201171875, 15.092134765625, 15.09654296875, 15.0936123046875]",tokens/s,4.174199992720773,kWh,0.00017810572517929497,9.761652742247491e-05,0.0008565032572741228,0.0011322255098758925,tokens/kWh,55642.62547564899,,s,629,153.1809220733643,0.24353087770010215,0.03296066373518777,0.23950950622558595,0.23974298095703125,0.23996313781738282,0.5168466479492188,"[0.23945216369628905, 0.23953919982910157, 0.23968460083007812, 0.23963442993164064, 0.23936819458007813, 0.23935897827148436, 0.2393528289794922, 0.2393385009765625, 0.23933952331542968, 0.23946853637695312, 0.2394439697265625, 0.23947059631347656, 0.23952485656738282, 0.24019456481933593, 0.23945318603515625, 0.23931800842285156, 0.23931904602050783, 0.23950233459472656, 0.23965184020996094, 0.23977267456054688, 0.23953407287597656, 0.23931800842285156, 0.23936102294921874, 0.23944192504882814, 0.2398341064453125, 0.23968870544433593, 0.23944499206542968, 0.23950540161132813, 0.23957196044921875, 0.23936512756347655, 0.23935897827148436, 0.24057856750488282, 0.23942247009277343, 0.23948594665527342, 0.23955967712402343, 0.23962931823730468, 0.23951155090332032, 0.23962010192871094, 0.23965696716308593, 0.23969381713867188, 0.2400010223388672, 0.2394388427734375, 0.2393846435546875, 0.23953196716308595, 0.23952485656738282, 0.2395299835205078, 0.23947673034667968, 0.23948800659179686, 0.239425537109375, 0.23944805908203126, 0.23948594665527342, 0.23950028991699218, 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0.2396979217529297]",tokens/s,4.106255475461544,,,,,,
4bit-gptq-exllama-v2-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/gpt-neo-2.7B,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/gpt-neo-2.7B,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, 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,EleutherAI/pythia-6.7b,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,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,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-6.7b,True,True,"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/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 255, in load_model_with_no_weights
    self.load_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 169, in load_model_from_pretrained
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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"")`

"