diff --git "a/perf-df-awq-1xA10.csv" "b/perf-df-awq-1xA10.csv" --- "a/perf-df-awq-1xA10.csv" +++ "b/perf-df-awq-1xA10.csv" @@ -327,7 +327,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -817,7 +817,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -888,7 +888,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -1149,7 +1149,7 @@ ValueError: OPTForCausalLM does not support an attention implementation through ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-awq-gemm-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,MB,2055.856128,6201.802752,0.0,5555.355648,5273.986048,s,10,6.166099914550782,0.6166099914550782,0.001805187295356428,0.6164970397949219,0.6192070678710938,0.619502490234375,0.619738828125,"[0.6174358520507812, 0.6152646484375, 0.6157444458007812, 0.6149035034179687, 0.615364013671875, 0.6138878173828125, 0.6173106689453125, 0.6197979125976563, 0.6172496337890625, 0.6191414184570313]",tokens/s,415.1732919472978,kWh,7.25516759687e-06,3.97553441218727e-06,3.4973328632232774e-05,4.6204030641290036e-05,tokens/kWh,5540642.157120091,MB,2055.856128,6201.802752,0.0,5555.355648,5324.908032,s,10,365.7995859375,36.57995859374999,0.035939708288129694,36.562037109375,36.625498828125,36.6277962890625,36.6296342578125,"[36.623765625, 36.5703828125, 36.55220703125, 36.541484375, 36.54166015625, 36.54937890625, 36.62498828125, 36.55369140625, 36.61193359375, 36.63009375]",tokens/s,1.7222545465309549,kWh,0.0004313527007732127,0.00023641881037992466,0.002030578407141164,0.002698349918294301,tokens/kWh,23347.602018875292,,s,629,370.76827941894544,0.5894567240364791,0.07322585165475656,0.5803335571289062,0.5820514404296875,0.5823793212890626,1.195406015625,"[0.5803048706054688, 0.5797140502929687, 0.5794703369140625, 0.5797222290039062, 0.57939453125, 0.5800867919921875, 0.5797529296875, 0.5800857543945312, 0.5802291259765625, 0.5800048828125, 0.5795665893554688, 0.5795399780273438, 0.580042724609375, 0.5822300415039062, 0.5817169799804688, 0.5822146606445312, 0.5819473876953125, 0.5820886840820313, 0.5811210327148437, 0.582023193359375, 0.5814353637695312, 0.581949462890625, 0.580401123046875, 0.5816944580078125, 0.5808414916992187, 0.5820006103515625, 0.5810022583007812, 0.5814302978515625, 0.581444580078125, 0.5812797241210937, 0.5823364868164063, 0.5824470825195313, 0.5824716796875, 0.5824655151367187, 0.581918701171875, 0.5819730224609375, 0.58178662109375, 0.5807022094726563, 0.5815429077148437, 0.5823539428710938, 0.5825064697265625, 0.5821757202148438, 0.5818603515625, 0.5820498046875, 0.582350830078125, 0.5819617919921874, 0.5816124877929687, 0.5811609497070312, 0.5808312377929687, 0.582739990234375, 0.5819484252929688, 0.5809541015625, 0.5825567016601563, 0.5805885620117187, 0.5814404907226562, 0.581485595703125, 0.581022705078125, 0.5828966674804688, 0.5815776977539062, 0.5818429565429688, 0.5819647827148438, 0.5811875610351562, 1.1957647705078125, 0.5814425659179687, 0.5816586303710938, 0.5816115112304687, 0.5822146606445312, 0.5820579833984375, 0.5818347778320313, 0.5802680053710938, 0.5797498779296875, 0.5799751586914063, 0.5797396240234375, 0.5802352905273438, 0.5802066040039062, 0.580453369140625, 0.5803786010742188, 0.5806100463867188, 0.5803131103515625, 0.5797007446289062, 0.5798512573242187, 0.5799127197265626, 0.5799597778320312, 0.5807144775390625, 0.5798113403320313, 0.579999755859375, 0.5794037475585937, 0.5798748168945312, 0.5804503173828125, 0.5799270629882812, 0.5803120727539063, 0.5800960083007812, 0.5797396240234375, 0.5799884643554688, 0.5807646484375, 0.5804298095703125, 0.5802833862304687, 0.5804861450195312, 0.5813104858398438, 0.5805506591796875, 0.581159912109375, 0.5806080932617188, 0.5819862670898438, 0.5803499755859375, 0.5799393310546875, 0.5800376586914062, 0.5834240112304687, 0.5802772216796875, 0.5810247802734375, 0.5808568115234375, 0.58094287109375, 0.5806510009765625, 0.580552734375, 0.580220947265625, 0.5798553466796875, 0.5802045288085937, 0.5803714599609375, 0.5809602661132812, 0.5803591918945312, 0.5802659912109375, 0.5799219360351563, 0.5800376586914062, 0.57982568359375, 0.5798696899414062, 0.579905517578125, 1.19632080078125, 0.5800499267578125, 0.5804564208984375, 0.5798563842773438, 0.5799393310546875, 0.57995263671875, 0.5803939819335937, 0.5799925537109375, 0.5806735229492187, 0.5805301513671876, 0.5799966430664063, 0.5798082275390625, 0.5798707275390625, 0.5796608276367188, 0.579547119140625, 0.5798369140625, 0.5801513061523438, 0.57986767578125, 0.5802199096679688, 0.5796167602539063, 0.5794580688476563, 0.5797939453125, 0.5794334716796875, 0.5804932861328125, 0.5801594848632813, 0.5801451416015625, 0.5808414916992187, 0.5797929077148437, 0.5807810668945312, 0.5800017700195312, 0.5802393798828125, 0.5800509643554688, 0.5801564331054687, 0.5809776611328125, 0.579979248046875, 0.580262939453125, 0.5801871337890625, 0.58008984375, 0.58040625, 0.5803786010742188, 0.5804656372070313, 0.5801768798828125, 0.5805813598632813, 0.5812029418945313, 0.5800724487304687, 0.5806858520507813, 0.5798379516601563, 0.580527099609375, 0.5803837280273437, 0.5800488891601563, 0.5802803344726563, 0.5804451904296875, 0.5802803344726563, 0.58022607421875, 0.580389892578125, 0.5802311401367187, 0.580168701171875, 0.5799096069335937, 0.580010986328125, 0.5800120239257812, 0.5806653442382812, 0.5806591796875, 0.5803489379882812, 1.1951103515625, 0.5797929077148437, 0.579947509765625, 0.579768310546875, 0.5811712036132812, 0.5812357177734375, 0.58012060546875, 0.5796597900390625, 0.5797007446289062, 0.5796484985351562, 0.5794017333984375, 0.580021240234375, 0.5799884643554688, 0.5799659423828125, 0.5805444946289062, 0.5804830932617188, 0.5801144409179687, 0.5799618530273437, 0.5795880737304687, 0.579757080078125, 0.579483642578125, 0.5798082275390625, 0.5797939453125, 0.5796690063476563, 0.5802239990234375, 0.57957275390625, 0.5796597900390625, 0.5793659057617188, 0.5799301147460938, 0.579904541015625, 0.5796874389648438, 0.580485107421875, 0.5801973876953125, 0.5806879272460937, 0.5800631713867187, 0.579857421875, 0.5803335571289062, 0.5799208984375, 0.5803970336914063, 0.5798604736328125, 0.5801195678710938, 0.5799127197265626, 0.5803151245117187, 0.5800714111328125, 0.5800929565429688, 0.5801134033203125, 0.579852294921875, 0.580485107421875, 0.5806182250976563, 0.5799198608398437, 0.5808701171875, 0.5802598266601563, 0.5800806274414062, 0.5799147338867188, 0.5800150756835938, 0.5798461303710938, 0.5798594360351562, 0.5798338623046875, 0.5796372680664063, 0.5799874267578125, 0.5799168090820312, 0.57957373046875, 0.580232177734375, 1.19552099609375, 0.5814528198242187, 0.5798369140625, 0.5804021606445312, 0.579589111328125, 0.5795419921875, 0.5797027587890625, 0.5801830444335937, 0.5802567749023437, 0.5800621948242187, 0.57980517578125, 0.5795338134765625, 0.5802721557617188, 0.5796618041992188, 0.5800499267578125, 0.57969970703125, 0.5798021240234374, 0.58012158203125, 0.581080078125, 0.5802280883789063, 0.5805322265625, 0.5801748657226562, 0.57978369140625, 0.5796332397460937, 0.57942626953125, 0.5793402709960938, 0.5803540649414063, 0.5799547119140624, 0.579684326171875, 0.5799802856445313, 0.5798615112304687, 0.5798123779296875, 0.579684326171875, 0.5798983764648438, 0.5798276977539063, 0.579751953125, 0.58046875, 0.5798799438476563, 0.5800233154296875, 0.5798615112304687, 0.5794273071289062, 0.5798963012695313, 0.5797560424804687, 0.5802567749023437, 0.5799588012695313, 0.5798819580078125, 0.5800070190429687, 0.5797190551757813, 0.5804554443359375, 0.5799905395507813, 0.58028955078125, 0.5803919067382812, 0.5802905883789062, 0.5805660400390625, 0.579968994140625, 0.5803079833984375, 0.5797980346679688, 0.580832275390625, 0.580274169921875, 0.5802926025390625, 0.58039501953125, 0.57959423828125, 0.5799966430664063, 1.19406689453125, 0.579810302734375, 0.5797396240234375, 0.5796720581054687, 0.5796259765625, 0.5796741333007812, 0.5809397583007813, 0.5795031127929687, 0.5802731323242187, 0.5795594482421875, 0.5797140502929687, 0.579177490234375, 0.5797734375, 0.5801287841796875, 0.5797498779296875, 0.5798656005859375, 0.5796587524414063, 0.5798328247070312, 0.5797969970703125, 0.5797437744140626, 0.5796495361328124, 0.5797191772460938, 0.5803560791015625, 0.5800233154296875, 0.5815418701171875, 0.5802926025390625, 0.5799188232421875, 0.5799495849609375, 0.5795277099609375, 0.5796403198242187, 0.5796351928710938, 0.5801963500976562, 0.5797037963867188, 0.5795000610351563, 0.5798338623046875, 0.5798881225585938, 0.5797590942382812, 0.5800130615234375, 0.58073193359375, 0.5800908813476563, 0.5806469116210937, 0.5811783447265625, 0.5802403564453125, 0.5803519897460937, 0.58052197265625, 0.5798973388671875, 0.5800233154296875, 0.5798533325195312, 0.5805916137695313, 0.5798184814453125, 0.5794979858398438, 0.579715087890625, 0.5797007446289062, 0.5794171142578125, 0.5801093139648438, 0.58170166015625, 0.5814415283203125, 0.5815838623046875, 0.5820006103515625, 0.57984716796875, 0.5823866577148438, 0.5812367553710938, 0.5812715454101562, 1.19872412109375, 0.5820743408203125, 0.5816565551757813, 0.582371337890625, 0.5821552734375, 0.5816156005859375, 0.5810933837890625, 0.5808988037109375, 0.5822463989257812, 0.5805066528320313, 0.5815418701171875, 0.5819443359375, 0.5820221557617188, 0.5824573364257812, 0.58057421875, 0.5815746459960938, 0.5819218139648438, 0.581970947265625, 0.5814149169921875, 0.58176513671875, 0.5813401489257812, 0.5796444091796875, 0.5797304077148437, 0.57986767578125, 0.57969970703125, 0.5803519897460937, 0.581917724609375, 0.5818121948242188, 0.5813934326171875, 0.5819647827148438, 0.5817763671875, 0.5821880493164062, 0.5812572021484375, 0.5817692260742188, 0.58166064453125, 0.5815797729492187, 0.5820784912109375, 0.5817958374023438, 0.5818296508789063, 0.581411865234375, 0.58090087890625, 0.5812305908203125, 0.5817753295898438, 0.581781494140625, 0.5817088012695313, 0.5801287841796875, 0.5828178100585938, 0.5812131958007812, 0.5801339111328125, 0.5819945068359375, 0.5805414428710938, 0.5801564331054687, 0.58094384765625, 0.5817108764648438, 0.5819852905273437, 0.5817589721679688, 0.5808824462890625, 0.580969482421875, 0.5814876098632813, 0.5799014282226562, 0.5799772338867187, 0.5808035888671875, 0.5819320068359375, 1.200752685546875, 0.5804697875976562, 0.5798113403320313, 0.5795338134765625, 0.57959423828125, 0.5793955688476562, 0.5800294189453125, 0.579673095703125, 0.5795379028320312, 0.5792747802734375, 0.57942529296875, 0.5792655639648437, 0.579324951171875, 0.5791590576171874, 0.579515380859375, 0.5797427368164062, 0.5802495727539062, 0.5797744750976562, 0.58040625, 0.5798430786132812, 0.5793853149414062, 0.5796864013671875, 0.5795184936523438, 0.5801082763671875, 0.5802659912109375, 0.5800826416015625, 0.5807779541015625, 0.5820303344726563, 0.5817589721679688, 0.5796484985351562, 0.5796925659179688, 0.580094970703125, 0.5802587890625, 0.5804124145507813, 0.5822156982421876, 0.5799669799804688, 0.5799188232421875, 0.5803817138671875, 0.5797427368164062, 0.5796126708984375, 0.5807124633789063, 0.5810831298828125, 0.5797539672851563, 0.579541015625, 0.5795164184570313, 0.5796055297851562, 0.5795983276367187, 0.5792973022460938, 0.5793689575195312, 0.5794713745117187, 0.5795768432617188, 0.5799382934570313, 0.5819227905273437, 0.5818388671875, 0.581307373046875, 0.5798348999023437, 0.5799434204101562, 0.5802772216796875, 0.5826939086914062, 0.5821061401367188, 0.582097900390625, 0.5818736572265625, 0.5818245239257812, 1.197048828125, 0.5797693481445313, 0.5795419921875, 0.579435546875, 0.5806448364257812, 0.580769775390625, 0.5797642211914062, 0.5793648681640625, 0.5799239501953125, 0.579820556640625, 0.5798553466796875, 0.5799976806640625, 0.5800867919921875, 0.5793955688476562, 0.579800048828125, 0.5796505737304688, 0.5797386474609375, 0.5797744750976562, 0.5809653930664063, 0.58010009765625, 0.5795747680664063, 0.5806735229492187, 0.5816740112304688, 0.5815050048828125, 0.5816995849609375, 0.581855224609375, 0.5821460571289062, 0.5816473388671874, 0.5822300415039062, 0.5816422119140625, 0.5811865844726563, 0.58155517578125, 0.5818736572265625, 0.5809817504882813, 0.5813842163085937, 0.5811926879882813, 0.5820927734375, 0.5812623291015625, 0.5827706909179687, 0.582930419921875, 0.5829867553710938, 0.58191259765625, 0.5821531982421875, 0.5811548461914062, 0.5818746948242187, 0.5817907104492187, 0.5817804565429687, 0.5819412231445312, 0.5816668090820313, 0.5811885986328125, 0.5814149169921875, 0.5814466552734375, 0.5809336547851562, 0.581085205078125, 0.5813053588867187, 0.581718017578125, 0.5829119873046875, 0.582118408203125, 0.5821614379882812, 0.5819883422851563, 0.5823518676757813, 0.5817088012695313, 0.5822545776367187, 1.201244140625, 0.580126708984375, 0.5799127197265626, 0.5811712036132812, 0.5819514770507812, 0.5811456298828125, 0.5812008666992188, 0.5814640502929688, 0.5819463500976563, 0.5820886840820313, 0.5823846435546876, 0.580305908203125, 0.5809714965820313, 0.5801236572265625, 0.5817006225585938, 0.5822177124023438, 0.5816535034179687, 0.5801830444335937, 0.58051171875, 0.5805444946289062, 0.5798604736328125, 0.5808660278320312, 0.5804462280273438, 0.5811814575195312, 0.5804677124023437, 0.581433349609375, 0.5835038452148438, 0.5813534545898438, 0.5819402465820313, 0.5816535034179687, 0.58176513671875, 0.5820324096679688, 0.5815357666015625, 0.5827686157226563, 0.582540283203125, 0.5820057373046875, 0.5823068237304687, 0.58144970703125, 0.5820303344726563, 0.5807462158203125, 0.5822003173828125, 0.5823150024414062, 0.5814906616210938, 0.5829560546875, 0.5828761596679688, 0.5815275268554687, 0.5806663818359376, 0.5816873168945312, 0.5818255615234375, 0.58170166015625, 0.5825853271484375, 0.5802014770507813, 0.5799505615234375, 0.5799178466796875, 0.581676025390625, 0.5818982543945312, 0.5817825317382812, 0.5805660400390625, 0.581728271484375, 0.581496826171875, 0.5820068359375, 0.5809755859375, 0.5805465087890626]",tokens/s,1.6964773820072907,,,,,,,, -4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -1324,7 +1324,7 @@ If this is a private repository, make sure to pass a token having permission to ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-awq-gemm-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,MB,2013.822976,5480.382464,0.0,4833.93536,4503.282688,s,10,5.711301574707031,0.5711301574707031,0.0015604684158887843,0.5710088500976562,0.5724867248535156,0.573356430053711,0.5740521942138671,"[0.5715228271484375, 0.5742261352539062, 0.5684718017578125, 0.5703966064453125, 0.570494873046875, 0.5693699340820313, 0.5704375610351563, 0.5720609130859375, 0.57229345703125, 0.5720274658203125]",tokens/s,448.2340787846278,kWh,6.721677934681928e-06,3.683185084507083e-06,3.147118258432934e-05,4.187604560351835e-05,tokens/kWh,6113280.189438215,MB,2014.928896,5480.382464,0.0,4833.93536,4688.699392,s,10,334.74296874999993,33.474296875,0.0037315247196552594,33.473017578124995,33.479158984375,33.4801732421875,33.4809846484375,"[33.47309765625, 33.47263671875, 33.4715390625, 33.4729375, 33.47534765625, 33.47058984375, 33.47893359375, 33.4811875, 33.4778203125, 33.46887890625]",tokens/s,1.8820410249468458,kWh,0.00039524016447641235,0.00021662581418956808,0.0018242358853134645,0.002436101863979445,tokens/kWh,25860.987560301615,,s,629,339.3508396606445,0.5395084891266209,0.06790528508400501,0.531294189453125,0.5317521484375,0.5319190551757812,1.1017576318359374,"[0.5316085815429688, 0.5315625, 0.5310873413085937, 0.5312276611328125, 0.5310341186523437, 0.5311795043945312, 0.5312860107421875, 0.53180517578125, 0.5313863525390625, 0.5315205078125, 0.5309071655273437, 0.5309808349609375, 0.5307955322265625, 0.5312429809570313, 0.530924560546875, 0.5313556518554687, 0.5308876953125, 0.531230712890625, 0.5310802001953125, 0.5317345581054688, 0.5312921752929688, 0.5313382568359375, 0.5308221435546875, 0.5310607299804687, 0.5308549194335938, 0.5315635375976563, 0.5311006469726562, 0.5312788696289062, 0.5312388916015625, 0.5312849731445313, 0.5308907470703125, 0.5311416015625, 0.5308528442382813, 0.5311743774414063, 0.531367919921875, 0.5315932006835937, 0.5311682739257813, 0.5317539672851562, 0.5317908325195313, 0.531473388671875, 0.53108837890625, 0.53146728515625, 0.531220458984375, 0.5315338134765625, 0.5310525512695312, 0.531900390625, 0.5317529296875, 0.5317069091796875, 0.53103515625, 0.53153076171875, 0.5311344604492187, 0.5311918334960938, 0.5308630981445313, 0.5311641845703124, 0.5309531860351563, 0.531577880859375, 0.5316065063476563, 0.5314017333984375, 0.5316864013671875, 0.5318963012695312, 0.5315604248046875, 0.53161279296875, 1.1062353515625, 0.5315419921875, 0.5316771850585937, 0.5312737426757812, 0.5311528930664062, 0.5314109497070313, 0.5312112426757812, 0.5310986328125, 0.5311057739257813, 0.53089892578125, 0.5317980346679687, 0.531167236328125, 0.53102490234375, 0.5308078002929687, 0.5314508666992187, 0.5309224853515625, 0.5310689086914062, 0.5308067626953125, 0.5315430297851562, 0.5309972534179688, 0.5317294311523437, 0.5312696533203125, 0.5314498291015625, 0.5310535888671875, 0.5314406127929687, 0.5309706420898438, 0.5315850219726562, 0.5310156860351563, 0.5313699951171875, 0.5310637817382813, 0.5316474609375, 0.5311948852539062, 0.53110888671875, 0.53115185546875, 0.531330078125, 0.5310965576171875, 0.5311754150390625, 0.5309706420898438, 0.5319178466796874, 0.532337646484375, 0.5315972900390625, 0.531103759765625, 0.5311692504882812, 0.5309296875, 0.5313453979492188, 0.53089794921875, 0.532917236328125, 0.5309666137695312, 0.5310463256835938, 0.5309081420898437, 0.5315809326171875, 0.5311968994140625, 0.5312440185546875, 0.5310320434570313, 0.5312368774414062, 0.5308692626953125, 0.5317509155273438, 0.5314529418945313, 0.5314232177734375, 0.5311610717773437, 0.531356689453125, 0.5314232177734375, 0.5313045043945313, 1.1011102294921875, 0.5311477661132813, 0.5314263305664062, 0.531145751953125, 0.5313720092773437, 0.5311477661132813, 0.5315952758789062, 0.5309235229492187, 0.5311928100585938, 0.531162109375, 0.5311211547851562, 0.53140478515625, 0.5317939453125, 0.53121435546875, 0.5318656005859375, 0.531483642578125, 0.5315000610351562, 0.5312716674804687, 0.5315645141601563, 0.531324951171875, 0.5316557006835938, 0.5313607788085938, 0.5315901489257813, 0.5309573364257812, 0.5312061157226563, 0.5308528442382813, 0.5311078491210938, 0.5310279541015624, 0.5312245483398438, 0.5308385009765625, 0.5313310546875, 0.53131982421875, 0.5318225708007812, 0.5312051391601562, 0.5311702880859375, 0.5310709838867187, 0.5313167114257813, 0.5311600341796875, 0.5312184448242188, 0.531252197265625, 0.5313607788085938, 0.5311314086914063, 0.5312163696289063, 0.5310596923828125, 0.531451904296875, 0.5310115966796874, 0.5313280029296875, 0.53153076171875, 0.5314334716796875, 0.5314508666992187, 0.5315317993164063, 0.5316935424804687, 0.5310279541015624, 0.5312266235351563, 0.5312102661132813, 0.531051513671875, 0.5313505249023438, 0.5309439697265625, 0.53108837890625, 0.5311426391601562, 0.5314908447265625, 0.5311590576171875, 0.5316188354492187, 1.1020093994140625, 0.5310126342773438, 0.5312286987304687, 0.5310289916992188, 0.531694580078125, 0.5315460815429688, 0.5315625, 0.5309337768554687, 0.5313526000976563, 0.5313218383789062, 0.5313914794921875, 0.53136279296875, 0.5317498779296875, 0.5313587036132813, 0.5314078979492187, 0.531162109375, 0.5312286987304687, 0.531251220703125, 0.5314600830078124, 0.5311160278320313, 0.53119384765625, 0.5310310668945313, 0.5316546630859375, 0.531409912109375, 0.531567626953125, 0.5313894653320312, 0.5315020751953125, 0.531135498046875, 0.5310525512695312, 0.5308528442382813, 0.5313935546875, 0.5313812255859375, 0.5312890625, 0.530966552734375, 0.531019775390625, 0.5310494995117188, 0.5313024291992188, 0.5313894653320312, 0.531294189453125, 0.5311016845703125, 0.5310525512695312, 0.5311856689453125, 0.531736572265625, 0.531641357421875, 0.5321881713867187, 0.5313126220703125, 0.5313751220703125, 0.5310965576171875, 0.531794921875, 0.5309716186523438, 0.5311610717773437, 0.5310167236328125, 0.5313290405273438, 0.5308538818359375, 0.5310453491210938, 0.5313873901367188, 0.5312819213867187, 0.5309849853515625, 0.531398681640625, 0.5310084838867187, 0.5321144409179688, 0.531578857421875, 0.5316700439453125, 1.10214453125, 0.530830322265625, 0.5315020751953125, 0.5308692626953125, 0.5310894165039063, 0.5316024169921875, 0.5316566772460938, 0.5311129760742187, 0.5313003540039063, 0.5309224853515625, 0.5312870483398437, 0.5310771484375, 0.5316566772460938, 0.5308528442382813, 0.5312696533203125, 0.5311334228515625, 0.5315010375976562, 0.5314529418945313, 0.5316433715820312, 0.5310289916992188, 0.5314703369140625, 0.5313914794921875, 0.5314805908203125, 0.5312102661132813, 0.5313157348632812, 0.5312808837890625, 0.5316044921875, 0.5312051391601562, 0.5314078979492187, 0.5316720581054688, 0.5313822631835937, 0.5311006469726562, 0.53110888671875, 0.5308703002929688, 0.5316167602539063, 0.5314221801757812, 0.531800048828125, 0.5311160278320313, 0.5314561157226563, 0.531411865234375, 0.5317734375, 0.5317805786132812, 0.5310750732421875, 0.5310975952148438, 0.53131982421875, 0.53121435546875, 0.531240966796875, 0.530924560546875, 0.5315112915039063, 0.5309634399414063, 0.53119384765625, 0.5311242065429688, 0.5314119873046875, 0.5314744262695312, 0.5316505737304688, 0.5320745239257813, 0.531435546875, 0.53260595703125, 0.5313802490234375, 0.5314990234375, 0.531493896484375, 0.531061767578125, 0.5313065185546875, 1.1010294189453125, 0.5310013427734375, 0.53124609375, 0.5309849853515625, 0.5314959106445313, 0.5311447143554687, 0.531198974609375, 0.531135498046875, 0.5317611694335938, 0.5310453491210938, 0.5312368774414062, 0.5310105590820312, 0.5315205688476563, 0.5312000122070313, 0.531442626953125, 0.5309010009765625, 0.53104638671875, 0.5309081420898437, 0.5313760986328125, 0.5308211059570312, 0.5312214965820312, 0.5310167236328125, 0.5315963134765626, 0.531188720703125, 0.5312471313476562, 0.5308661499023437, 0.5318123779296875, 0.5314027709960938, 0.5315277099609375, 0.5311959228515625, 0.5315491943359375, 0.5311867065429687, 0.5311385498046876, 0.5308538818359375, 0.5313402709960937, 0.5308897094726562, 0.53110888671875, 0.5310873413085937, 0.532853759765625, 0.5313351440429688, 0.531751953125, 0.5309685668945312, 0.5313668823242188, 0.5309788208007813, 0.5314406127929687, 0.5319198608398438, 0.5315972900390625, 0.5316341552734375, 0.531399658203125, 0.5313290405273438, 0.5312604370117188, 0.531052490234375, 0.5311856689453125, 0.5311262817382812, 0.5311273193359375, 0.5309450073242188, 0.5313003540039063, 0.5310310668945313, 0.531162109375, 0.5316484985351563, 0.5313546142578125, 0.531051513671875, 0.5314641723632813, 1.10335595703125, 0.5312788696289062, 0.5317376098632812, 0.5317816162109374, 0.5310443725585937, 0.5310945434570312, 0.531515380859375, 0.5312010498046875, 0.5312890625, 0.5315604248046875, 0.5310709838867187, 0.5312757568359375, 0.5313177490234375, 0.5313668823242188, 0.5315430297851562, 0.5313382568359375, 0.531462158203125, 0.5310822143554688, 0.5318031616210938, 0.5317324829101563, 0.5316137084960938, 0.5309522094726562, 0.5314713745117188, 0.531346435546875, 0.5311826171875, 0.5308856201171875, 0.5316904907226563, 0.5310525512695312, 0.5313648681640625, 0.5309481201171875, 0.5315020751953125, 0.5309798583984375, 0.5310975952148438, 0.5311068115234375, 0.53123583984375, 0.5308887329101563, 0.5311610717773437, 0.5312593994140625, 0.5315113525390625, 0.5320181274414062, 0.53134130859375, 0.5311498413085938, 0.5313812255859375, 0.5318276977539063, 0.5313341674804688, 0.5315061645507813, 0.5313771362304688, 0.5312665405273438, 0.53157373046875, 0.5311734008789063, 0.5318348999023438, 0.5309931640625, 0.5319618530273438, 0.5310545654296875, 0.531431396484375, 0.5314805908203125, 0.5322670288085938, 0.5313526000976563, 0.5318143920898437, 0.5314058227539062, 0.5316392822265625, 0.5314242553710937, 0.5316956176757812, 1.1039549560546875, 0.5310596923828125, 0.531430419921875, 0.5309603881835937, 0.5313013916015625, 0.5310545654296875, 0.5314334716796875, 0.5311129760742187, 0.5314866943359375, 0.5309327392578125, 0.5313535766601563, 0.5317621459960937, 0.5320017700195312, 0.5313474731445312, 0.5321390380859375, 0.5313034057617188, 0.5315491943359375, 0.5315614624023437, 0.5321195678710937, 0.5317386474609375, 0.531430419921875, 0.53125732421875, 0.5315266723632812, 0.5314437255859376, 0.5318656005859375, 0.5314652099609375, 0.5318246459960938, 0.5309419555664062, 0.5313320922851562, 0.5310873413085937, 0.5319567260742187, 0.5315020751953125, 0.5317171020507813, 0.5314866943359375, 0.531135498046875, 0.5316986694335938, 0.5315419921875, 0.531198974609375, 0.5315286865234375, 0.5312481079101562, 0.53157373046875, 0.5313710327148438, 0.531556396484375, 0.5311170043945312, 0.5320908813476563, 0.5312860107421875, 0.5311273193359375, 0.53108837890625, 0.5317069091796875, 0.5314140014648437, 0.5318666381835937, 0.5313013916015625, 0.5315419921875, 0.5312225341796875, 0.531567626953125, 0.5311692504882812, 0.53146728515625, 0.5312901000976562, 0.5316116333007812, 0.5311057739257813, 0.5314898071289063, 0.5310587158203125, 0.5314539794921875, 1.1042969970703125, 0.5312860107421875, 0.5315072021484375, 0.5316034545898437, 0.5322137451171876, 0.5317847290039063, 0.5316690063476562, 0.5311959228515625, 0.531631103515625, 0.5317171020507813, 0.531820556640625, 0.5314273071289063, 0.5316249389648438, 0.5310904541015625, 0.531863525390625, 0.5312501831054688, 0.53151025390625, 0.531252197265625, 0.5320970458984375, 0.5310699462890625, 0.5312184448242188, 0.5309183959960937, 0.5319987182617187, 0.531577880859375, 0.5319649047851562, 0.5313546142578125, 0.53127783203125, 0.5312000122070313, 0.5314058227539062, 0.5309552612304688, 0.5314765014648437, 0.5311477661132813, 0.5315399780273438, 0.5311395874023438, 0.5313935546875, 0.5317590942382813, 0.531430419921875, 0.5314949340820313, 0.53096240234375, 0.5309450073242188, 0.5312819213867187, 0.5316137084960938, 0.5311641845703124, 0.5311508178710938, 0.5317099609375, 0.531009521484375, 0.5310576782226563, 0.530977783203125, 0.5313966064453125, 0.531272705078125, 0.531178466796875, 0.53085693359375, 0.5311764526367188, 0.5310115966796874, 0.531294189453125, 0.5309757690429687, 0.5316322021484375, 0.5310668334960937, 0.531282958984375, 0.531072021484375, 0.5319813232421875, 0.5315072021484375, 0.5314345092773437, 1.1038515625, 0.5315747680664062, 0.5315563354492188, 0.5314283447265625, 0.5311314086914063, 0.5308887329101563, 0.5313218383789062, 0.5309593505859375, 0.5309398803710937, 0.5308262329101563, 0.5310136108398438, 0.5309296875, 0.5314590454101562, 0.5310699462890625, 0.5316587524414063, 0.5311928100585938, 0.5312696533203125, 0.5310955810546875, 0.5310802001953125, 0.5312481079101562, 0.5316751098632813, 0.5312921752929688, 0.5321625366210937, 0.531294189453125, 0.5315594482421875, 0.5310873413085937, 0.5322465209960937, 0.5310218505859375, 0.5312512817382813, 0.5308609619140625, 0.531178466796875, 0.5309429931640625, 0.5310105590820312, 0.5310392456054688, 0.5313372192382813, 0.5314283447265625, 0.5313710327148438, 0.5309235229492187, 0.5312706298828125, 0.5308815307617187, 0.5310955810546875, 0.5310003051757812, 0.5311764526367188, 0.5315164184570312, 0.53134130859375, 0.5313402709960937, 0.5311385498046876, 0.5311682739257813, 0.53187890625, 0.5310679321289062, 0.5314652099609375, 0.5309286499023438, 0.5317437744140625, 0.5314334716796875, 0.5315911865234375, 0.5309706420898438, 0.5311815795898438, 0.5312235717773437, 0.5312030639648437, 0.5309204711914063, 0.5312102661132813, 0.5308764038085938, 0.5311703491210937]",tokens/s,1.853538952869569,,,,,,,, -4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -2287,7 +2287,7 @@ If this is a private repository, make sure to pass a token having permission to ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-awq-gemm-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,MB,6397.865984,20902.838272,0.0,20256.391168,19273.711616,s,10,26.880439941406248,2.6880439941406253,0.0033477874655363365,2.6871883544921875,2.692009619140625,2.6933998291015624,2.6945119970703124,"[2.685803955078125, 2.6947900390625, 2.683811767578125, 2.686383544921875, 2.68633642578125, 2.68401416015625, 2.6879931640625, 2.68876318359375, 2.69170068359375, 2.690843017578125]",tokens/s,95.23653651429312,kWh,3.17124683658282e-05,1.7378374240543054e-05,0.0001501383978884052,0.00019922924049477648,tokens/kWh,1284951.9446253772,MB,6401.134592,20902.838272,0.0,20256.391168,19862.692352,s,10,1586.032109375,158.60321093750002,0.015321928299545614,158.5981796875,158.6242765625,158.62938828125,158.63347765625,"[158.6345, 158.613953125, 158.592734375, 158.623140625, 158.5865, 158.597484375, 158.605109375, 158.59528125, 158.598875, 158.58453125]",tokens/s,0.3972176832209664,kWh,0.0018724184694555073,0.0010262522225316024,0.008901508065645191,0.0118001787576323,tokens/kWh,5338.902172075308,,s,629,1607.7030268554693,2.555966656367995,0.3193652798169538,2.51726953125,2.51903720703125,2.519619970703125,5.2035773632812505,"[2.5194208984375, 2.518276123046875, 2.516651123046875, 2.517525390625, 2.51843896484375, 2.517624755859375, 2.52004150390625, 2.52022265625, 2.521489501953125, 2.5164267578125, 2.5175634765625, 2.517775390625, 2.519953369140625, 2.51852197265625, 2.5173544921875, 2.519920654296875, 2.52021044921875, 2.516950927734375, 2.5166611328125, 2.518200439453125, 2.52010693359375, 2.518486083984375, 2.519525390625, 2.516905029296875, 2.517927001953125, 2.5164677734375, 2.517693359375, 2.518721435546875, 2.518928466796875, 2.51907470703125, 2.519510986328125, 2.518275146484375, 2.517242919921875, 2.516676513671875, 2.5165732421875, 2.5177783203125, 2.517148681640625, 2.51657421875, 2.516912109375, 2.518000732421875, 2.517034912109375, 2.516802490234375, 2.51715185546875, 2.51765966796875, 2.517441650390625, 2.51902783203125, 2.518970458984375, 2.5190830078125, 2.518890380859375, 2.51803857421875, 2.518179931640625, 2.51873486328125, 2.517571533203125, 2.517244873046875, 2.516959228515625, 2.516928466796875, 2.5168681640625, 2.5169306640625, 2.517191650390625, 2.517224365234375, 2.517115966796875, 2.516737060546875, 5.213111328125, 2.516869140625, 2.517271484375, 2.516408203125, 2.51673486328125, 2.51637255859375, 2.5162373046875, 2.516429931640625, 2.5193134765625, 2.518941650390625, 2.519627685546875, 2.5193779296875, 2.51966064453125, 2.51765966796875, 2.51892333984375, 2.516537353515625, 2.517127197265625, 2.519396240234375, 2.5196083984375, 2.518447021484375, 2.51694091796875, 2.517104736328125, 2.516771728515625, 2.51951318359375, 2.519360595703125, 2.519175048828125, 2.5198193359375, 2.5188720703125, 2.516715576171875, 2.51652001953125, 2.516981689453125, 2.51901025390625, 2.517675048828125, 2.516708251953125, 2.51647998046875, 2.51678515625, 2.517172119140625, 2.516953125, 2.51710986328125, 2.517333984375, 2.5174814453125, 2.517621826171875, 2.5172724609375, 2.517373046875, 2.5174833984375, 2.517396484375, 2.51939111328125, 2.517060546875, 2.5173310546875, 2.517473388671875, 2.51749169921875, 2.517325927734375, 2.517126220703125, 2.517371826171875, 2.517205078125, 2.51726953125, 2.51808056640625, 2.517114990234375, 2.51685986328125, 2.516756591796875, 2.517073974609375, 2.51732275390625, 2.51730224609375, 5.20315478515625, 2.5170166015625, 2.517244873046875, 2.517020751953125, 2.517108642578125, 2.51638671875, 2.51642578125, 2.517214111328125, 2.516769775390625, 2.51730029296875, 2.51892529296875, 2.519654296875, 2.518119384765625, 2.5167421875, 2.51654150390625, 2.5173125, 2.51736669921875, 2.51793310546875, 2.5171240234375, 2.51818603515625, 2.51892431640625, 2.5187666015625, 2.51812353515625, 2.51782763671875, 2.5180478515625, 2.517296142578125, 2.516853759765625, 2.517425048828125, 2.5174833984375, 2.5169951171875, 2.516545654296875, 2.517794921875, 2.5171640625, 2.51698388671875, 2.51639501953125, 2.51702685546875, 2.516306884765625, 2.5166806640625, 2.51652001953125, 2.517170166015625, 2.516893798828125, 2.516665283203125, 2.516609130859375, 2.516989013671875, 2.51647998046875, 2.516822021484375, 2.51631201171875, 2.51747216796875, 2.517741455078125, 2.518084716796875, 2.517223388671875, 2.51799951171875, 2.51795654296875, 2.518109130859375, 2.51673388671875, 2.517454833984375, 2.51732177734375, 2.51715283203125, 2.516638671875, 2.517203857421875, 2.516884521484375, 2.51759912109375, 2.519858154296875, 5.20646044921875, 2.519667724609375, 2.520236083984375, 2.519354248046875, 2.519604248046875, 2.51765771484375, 2.518856689453125, 2.5197373046875, 2.51866015625, 2.51622802734375, 2.517433349609375, 2.517887939453125, 2.517296142578125, 2.519244873046875, 2.51947509765625, 2.51691015625, 2.517485595703125, 2.51801708984375, 2.51822998046875, 2.518202392578125, 2.518054931640625, 2.517960693359375, 2.518828125, 2.517103515625, 2.516676513671875, 2.51656494140625, 2.5168916015625, 2.516701171875, 2.51679541015625, 2.516830322265625, 2.517245849609375, 2.51702685546875, 2.517789794921875, 2.5177548828125, 2.517986328125, 2.519099365234375, 2.51782666015625, 2.517256103515625, 2.51816845703125, 2.5177353515625, 2.517129150390625, 2.517339111328125, 2.51709130859375, 2.517085205078125, 2.51757568359375, 2.517266357421875, 2.51751123046875, 2.518306884765625, 2.518222900390625, 2.51692236328125, 2.517740478515625, 2.517210205078125, 2.5171865234375, 2.51708935546875, 2.517200927734375, 2.51718359375, 2.51808349609375, 2.517579833984375, 2.517981201171875, 2.518381591796875, 2.517424072265625, 2.517716064453125, 2.517458984375, 5.20374169921875, 2.517011474609375, 2.51717333984375, 2.51589111328125, 2.516104248046875, 2.51622705078125, 2.51666748046875, 2.51635400390625, 2.516790283203125, 2.516591552734375, 2.517108642578125, 2.5161943359375, 2.516461669921875, 2.515986328125, 2.516514892578125, 2.51587890625, 2.516221923828125, 2.516361328125, 2.517339111328125, 2.51677490234375, 2.517726318359375, 2.519022705078125, 2.518340576171875, 2.516381591796875, 2.5166611328125, 2.5175654296875, 2.51858544921875, 2.518182861328125, 2.519140380859375, 2.516368408203125, 2.5173974609375, 2.516633544921875, 2.51689990234375, 2.516451416015625, 2.51803759765625, 2.519834716796875, 2.518279052734375, 2.516961181640625, 2.5182822265625, 2.51641748046875, 2.51694482421875, 2.5169111328125, 2.51719580078125, 2.5168271484375, 2.516947998046875, 2.5164697265625, 2.5166357421875, 2.51717724609375, 2.516738037109375, 2.5174794921875, 2.5177138671875, 2.51707080078125, 2.517907470703125, 2.51693359375, 2.518024169921875, 2.51669921875, 2.517652587890625, 2.51960009765625, 2.51852294921875, 2.5182841796875, 2.517738525390625, 2.518305908203125, 2.51839794921875, 5.20286328125, 2.518064208984375, 2.5179228515625, 2.51654052734375, 2.517392333984375, 2.517768310546875, 2.517991455078125, 2.516991943359375, 2.51664697265625, 2.516994140625, 2.516967529296875, 2.51681689453125, 2.516999267578125, 2.517242919921875, 2.51738427734375, 2.5165751953125, 2.516220947265625, 2.516633544921875, 2.516949951171875, 2.517053466796875, 2.5165966796875, 2.51759716796875, 2.516681640625, 2.516168701171875, 2.5164677734375, 2.51702978515625, 2.5176904296875, 2.5161298828125, 2.51717333984375, 2.518159423828125, 2.51761962890625, 2.5179013671875, 2.517589111328125, 2.5173984375, 2.516906005859375, 2.516503662109375, 2.516475830078125, 2.51711279296875, 2.519480224609375, 2.5183896484375, 2.5181982421875, 2.518749267578125, 2.518531005859375, 2.518134765625, 2.51865087890625, 2.518466552734375, 2.5166396484375, 2.516759521484375, 2.516642822265625, 2.518162353515625, 2.517697509765625, 2.516461669921875, 2.516862060546875, 2.5173310546875, 2.517142578125, 2.516802490234375, 2.51664599609375, 2.51910546875, 2.520224853515625, 2.518654052734375, 2.517782470703125, 2.517315673828125, 2.517593017578125, 5.2058564453125, 2.517256103515625, 2.516883544921875, 2.516770751953125, 2.517991455078125, 2.51818505859375, 2.517248046875, 2.517381103515625, 2.517410888671875, 2.518013916015625, 2.51770263671875, 2.517663818359375, 2.51745068359375, 2.5174189453125, 2.5167841796875, 2.51723779296875, 2.5164462890625, 2.517445556640625, 2.516367431640625, 2.5164462890625, 2.51627734375, 2.51877685546875, 2.517401611328125, 2.51765771484375, 2.516915283203125, 2.517138427734375, 2.516568115234375, 2.516221923828125, 2.516367431640625, 2.517359619140625, 2.519510986328125, 2.51938720703125, 2.518856689453125, 2.519548828125, 2.51677392578125, 2.5177978515625, 2.517477294921875, 2.518878173828125, 2.5189775390625, 2.518950927734375, 2.518413330078125, 2.5166806640625, 2.516497314453125, 2.517235595703125, 2.518279052734375, 2.5198427734375, 2.51673486328125, 2.516912109375, 2.516906005859375, 2.51755517578125, 2.517419921875, 2.517097412109375, 2.516971435546875, 2.51842138671875, 2.517538818359375, 2.5178203125, 2.5180068359375, 2.517959716796875, 2.517367919921875, 2.517199951171875, 2.5175673828125, 2.517475341796875, 2.51647998046875, 5.206263671875, 2.51768212890625, 2.518013916015625, 2.51671240234375, 2.516947021484375, 2.51635302734375, 2.5160029296875, 2.516082763671875, 2.5166357421875, 2.519185302734375, 2.520660888671875, 2.520238037109375, 2.518698974609375, 2.5163837890625, 2.516863037109375, 2.51846142578125, 2.518802490234375, 2.518381591796875, 2.516673583984375, 2.516651123046875, 2.517413818359375, 2.51720703125, 2.516526123046875, 2.516347900390625, 2.516926513671875, 2.51696630859375, 2.516371337890625, 2.51662548828125, 2.517037109375, 2.518067138671875, 2.51704833984375, 2.517189697265625, 2.516686767578125, 2.516638671875, 2.516578369140625, 2.51708935546875, 2.517098388671875, 2.5169755859375, 2.5169140625, 2.51700830078125, 2.517178466796875, 2.51765771484375, 2.517274658203125, 2.516906982421875, 2.51740576171875, 2.51774462890625, 2.51700830078125, 2.517297119140625, 2.51739453125, 2.518012939453125, 2.516905029296875, 2.51756640625, 2.51799853515625, 2.51736669921875, 2.517075927734375, 2.51706982421875, 2.517170166015625, 2.51795556640625, 2.516641845703125, 2.5179892578125, 2.519339111328125, 2.519236572265625, 2.517425048828125, 5.20979345703125, 2.516677734375, 2.51662939453125, 2.516441162109375, 2.51880029296875, 2.516022216796875, 2.51607763671875, 2.516926513671875, 2.5178603515625, 2.516306884765625, 2.5163828125, 2.51637353515625, 2.517161865234375, 2.516613037109375, 2.516834228515625, 2.51662548828125, 2.517593994140625, 2.515980224609375, 2.5162177734375, 2.516642822265625, 2.517887939453125, 2.51702587890625, 2.517031005859375, 2.517222412109375, 2.517981201171875, 2.517895263671875, 2.51740576171875, 2.517854248046875, 2.5180498046875, 2.51757373046875, 2.518212646484375, 2.517984375, 2.518205322265625, 2.51793408203125, 2.51681689453125, 2.5167216796875, 2.517544921875, 2.516486083984375, 2.5170185546875, 2.517210205078125, 2.517508056640625, 2.51639697265625, 2.516465576171875, 2.517015625, 2.5180283203125, 2.51659375, 2.516681640625, 2.51827099609375, 2.518345703125, 2.5169111328125, 2.51719580078125, 2.51778759765625, 2.520734619140625, 2.519320556640625, 2.5171875, 2.517358642578125, 2.51997900390625, 2.518500244140625, 2.516546630859375, 2.517432373046875, 2.5194833984375, 2.519772216796875, 2.519079833984375, 5.2087294921875, 2.517329833984375, 2.5174794921875, 2.516798583984375, 2.51810302734375, 2.5172890625, 2.51738818359375, 2.5166357421875, 2.51726953125, 2.516717529296875, 2.5166181640625, 2.517689453125, 2.51707177734375, 2.516453369140625, 2.516779052734375, 2.516828125, 2.516937744140625, 2.517130126953125, 2.516748291015625, 2.516958251953125, 2.517098388671875, 2.517117919921875, 2.516738037109375, 2.51713330078125, 2.516843505859375, 2.516346923828125, 2.516989013671875, 2.517284912109375, 2.516630615234375, 2.516404296875, 2.516778076171875, 2.51865185546875, 2.518513671875, 2.51744677734375, 2.517791748046875, 2.51757470703125, 2.516971435546875, 2.51658740234375, 2.51664794921875, 2.5177119140625, 2.517885986328125, 2.51691015625, 2.51734326171875, 2.516971435546875, 2.517379150390625, 2.5163837890625, 2.516974609375, 2.516904052734375, 2.517392333984375, 2.51668798828125, 2.517559326171875, 2.51702587890625, 2.517056396484375, 2.5166611328125, 2.517138427734375, 2.517266357421875, 2.517547119140625, 2.51685693359375, 2.517096435546875, 2.5175234375, 2.51769140625, 2.51662744140625, 2.51719580078125]",tokens/s,0.3912414105671436,,,,,,,, -4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -2863,7 +2863,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -3556,7 +3556,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4066,7 +4066,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4137,7 +4137,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4563,7 +4563,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4772,7 +4772,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -5485,7 +5485,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: FalconForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6007,7 +6007,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6676,7 +6676,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPT2LMHeadModel 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"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6753,7 +6753,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -7492,7 +7492,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -8028,7 +8028,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -8105,7 +8105,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -8561,7 +8561,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -8776,7 +8776,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -9501,7 +9501,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: FalconForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpz0hho4k7/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10007,7 +10007,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10684,7 +10684,7 @@ NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,MB,1214.447616,1005.060096,0.0,358.612992,318.913024,s,23,0.16858035135269164,0.007329580493595289,0.0002587299119465544,0.007231008052825927,0.007471584033966065,0.007511299371719361,0.00818978693008423,"[0.008380064010620117, 0.007363743782043457, 0.007418399810791016, 0.007246111869812012, 0.007178239822387696, 0.007166944026947022, 0.007157599925994873, 0.007199552059173584, 0.007136896133422852, 0.007476480007171631, 0.007105247974395752, 0.0071660480499267576, 0.007231008052825927, 0.007161407947540283, 0.007184447765350342, 0.007153855800628662, 0.007515168190002442, 0.007452000141143799, 0.007419456005096436, 0.007367104053497314, 0.007440927982330322, 0.007213119983673096, 0.00744652795791626]",tokens/s,34926.964813838546,kWh,8.452715794226453e-08,4.6316905321826644e-08,1.8026361583691486e-07,3.11107679101006e-07,tokens/kWh,822866220.2738029,MB,1214.447616,1005.060096,0.0,358.612992,328.804864,s,23,9.953621459960937,0.4327661504330842,0.010704234458509567,0.429077880859375,0.44030704345703126,0.44415710449218754,0.4681292211914063,"[0.47477725219726563, 0.4445589294433594, 0.42644979858398435, 0.4242642822265625, 0.42919677734375, 0.42827423095703127, 0.42818402099609376, 0.4242230834960937, 0.42831201171875, 0.429077880859375, 0.4333373718261719, 0.4317017822265625, 0.437157470703125, 0.4248154602050781, 0.42390850830078125, 0.43650335693359377, 0.4387818298339844, 0.4320978088378906, 0.43937249755859376, 0.4277911987304687, 0.42581710815429685, 0.4244781188964844, 0.44054067993164064]",tokens/s,145.5751563216155,kWh,5.077228334491569e-06,2.782076962048813e-06,8.839489976768277e-06,1.6698795273308658e-05,tokens/kWh,3772727.2518095453,,s,1448,10.106253310203536,0.0069794567059416794,0.000952161877616497,0.006773759841918945,0.0070439937591552735,0.007432703852653502,0.014228009071350098,"[0.007984127998352051, 0.007874559879302979, 0.007838719844818116, 0.00810905647277832, 0.007803904056549072, 0.0076360321044921875, 0.007531455993652344, 0.007589888095855713, 0.007426047801971435, 0.007560192108154297, 0.0076063361167907715, 0.007623616218566894, 0.0076574721336364745, 0.007613440036773681, 0.0075335679054260255, 0.007480319976806641, 0.0076472959518432615, 0.007611328125, 0.0075428481101989745, 0.0075550079345703125, 0.00753868818283081, 0.007555071830749512, 0.007600128173828125, 0.0074065918922424315, 0.007469056129455566, 0.0074403839111328125, 0.007422976016998291, 0.0075304961204528805, 0.007518208026885987, 0.007624703884124756, 0.007686143875122071, 0.007682047843933106, 0.007307263851165771, 0.007299071788787842, 0.007363584041595459, 0.007319551944732666, 0.007326720237731933, 0.0074065918922424315, 0.0074741759300231934, 0.007550975799560547, 0.007709695816040039, 0.007379968166351319, 0.007514111995697022, 0.007488512039184571, 0.007510015964508057, 0.007669760227203369, 0.007569407939910889, 0.007693312168121338, 0.0076687359809875484, 0.0076277761459350585, 0.007525375843048096, 0.007512063980102539, 0.007461887836456299, 0.00764415979385376, 0.007400447845458984, 0.0072427520751953125, 0.007208960056304932, 0.007473152160644531, 0.00729702377319336, 0.00703385591506958, 0.007020544052124023, 0.007089183807373047, 0.014714847564697266, 0.007219200134277344, 0.007350272178649903, 0.007436287879943848, 0.007600128173828125, 0.007280640125274658, 0.007155712127685547, 0.007156735897064209, 0.007203839778900147, 0.007258111953735351, 0.00719974422454834, 0.007029759883880615, 0.007017471790313721, 0.007067647933959961, 0.007037951946258545, 0.0069918718338012695, 0.007010335922241211, 0.006995999813079834, 0.006998976230621338, 0.006979584217071533, 0.0070348801612854, 0.007015423774719238, 0.00698367977142334, 0.006958079814910889, 0.006994944095611572, 0.00698367977142334, 0.006978559970855713, 0.006947840213775635, 0.0070348801612854, 0.006961152076721191, 0.007020544052124023, 0.0069683518409729, 0.007003104209899903, 0.007001088142395019, 0.006972415924072266, 0.006957056045532227, 0.007001088142395019, 0.006966271877288818, 0.006965248107910156, 0.007002111911773682, 0.0069816322326660156, 0.007114751815795899, 0.007004159927368164, 0.007090176105499267, 0.007002111911773682, 0.006996992111206054, 0.007081984043121338, 0.007012351989746094, 0.006987775802612305, 0.006988800048828125, 0.0069928960800170895, 0.007177216053009033, 0.007015423774719238, 0.006977536201477051, 0.007003136157989502, 0.007126016139984131, 0.007016448020935059, 0.006986752033233643, 0.006990848064422607, 0.0069632000923156735, 0.0070041918754577635, 0.007000031948089599, 0.007019519805908203, 0.014730239868164062, 0.007007232189178467, 0.0069550080299377445, 0.007005216121673584, 0.0070368962287902835, 0.006977536201477051, 0.006851583957672119, 0.006823935985565186, 0.006765567779541016, 0.006767615795135498, 0.006763519763946534, 0.006762495994567871, 0.0068055038452148435, 0.006909952163696289, 0.006785024166107178, 0.00677785587310791, 0.006772736072540283, 0.0067420158386230465, 0.006738944053649902, 0.006725632190704346, 0.0067010560035705566, 0.006772736072540283, 0.006744063854217529, 0.006779903888702392, 0.006756351947784424, 0.006751232147216797, 0.006719488143920899, 0.006737919807434082, 0.0067758078575134275, 0.006755328178405762, 0.006710271835327148, 0.006716415882110595, 0.006723584175109864, 0.006725632190704346, 0.00672051191329956, 0.0067123198509216305, 0.006694911956787109, 0.006738944053649902, 0.006696959972381592, 0.00672051191329956, 0.006724607944488525, 0.006721536159515381, 0.00674508810043335, 0.006755328178405762, 0.006785024166107178, 0.006756351947784424, 0.006723584175109864, 0.006751232147216797, 0.0067573761940002445, 0.006761472225189209, 0.006666240215301514, 0.006661119937896728, 0.006723584175109864, 0.006661119937896728, 0.006654975891113281, 0.0066375679969787596, 0.006723584175109864, 0.006718463897705078, 0.006703104019165039, 0.006754303932189941, 0.006707200050354004, 0.006717440128326416, 0.006744063854217529, 0.014316543579101563, 0.0067348480224609375, 0.006750207901000976, 0.0067870721817016606, 0.006694911956787109, 0.006708223819732666, 0.0067010560035705566, 0.00672051191329956, 0.0067276802062988285, 0.0066979842185974124, 0.006687744140625, 0.006713344097137451, 0.006761472225189209, 0.006749184131622315, 0.0067645440101623535, 0.006747136116027832, 0.006710271835327148, 0.006718463897705078, 0.006700032234191895, 0.006749184131622315, 0.006680575847625733, 0.006717440128326416, 0.00667852783203125, 0.006739967823028564, 0.006696959972381592, 0.0067010560035705566, 0.006673408031463623, 0.006703104019165039, 0.006800384044647217, 0.00672051191329956, 0.006776832103729248, 0.006722559928894043, 0.006737919807434082, 0.006756351947784424, 0.0067717118263244626, 0.006748159885406494, 0.006724607944488525, 0.00672870397567749, 0.006800384044647217, 0.006699007987976074, 0.0067276802062988285, 0.006737919807434082, 0.0067041277885437015, 0.006756351947784424, 0.006843391895294189, 0.006760447978973389, 0.006755328178405762, 0.006778880119323731, 0.006690815925598144, 0.006692863941192627, 0.006652927875518798, 0.006653952121734619, 0.006666240215301514, 0.006660096168518067, 0.0066375679969787596, 0.006724607944488525, 0.00674508810043335, 0.006793216228485107, 0.006758399963378906, 0.006758399963378906, 0.006765567779541016, 0.006729728221893311, 0.006829055786132812, 0.014258175849914552, 0.006754303932189941, 0.006767615795135498, 0.006770688056945801, 0.006714367866516113, 0.006759424209594727, 0.006788095951080322, 0.006724607944488525, 0.006732800006866455, 0.006737919807434082, 0.006708223819732666, 0.006724607944488525, 0.006731776237487793, 0.0067010560035705566, 0.0067420158386230465, 0.0067717118263244626, 0.006756351947784424, 0.00674508810043335, 0.0067358717918396, 0.00672870397567749, 0.006722623825073242, 0.006734784126281738, 0.006726655960083008, 0.006713344097137451, 0.00687718391418457, 0.006709248065948486, 0.0067051520347595215, 0.006795263767242431, 0.006717440128326416, 0.00669593620300293, 0.00674508810043335, 0.0067338237762451176, 0.00672051191329956, 0.0067758078575134275, 0.006737919807434082, 0.006726655960083008, 0.006694911956787109, 0.0067358717918396, 0.006706175804138184, 0.006700032234191895, 0.006766592025756836, 0.0067348480224609375, 0.0067348480224609375, 0.006829055786132812, 0.0067276802062988285, 0.006977536201477051, 0.006985727787017822, 0.007014400005340577, 0.0069816322326660156, 0.006931456089019775, 0.006980607986450196, 0.006937600135803222, 0.006938623905181885, 0.0069324798583984375, 0.006961152076721191, 0.006959104061126709, 0.006976511955261231, 0.0069847040176391605, 0.006971392154693603, 0.0069550080299377445, 0.006982656002044678, 0.007070720195770264, 0.007047167778015137, 0.014191616058349609, 0.0067123198509216305, 0.006912000179290771, 0.006758399963378906, 0.0068055038452148435, 0.006760447978973389, 0.006781951904296875, 0.006699007987976074, 0.0068280320167541505, 0.006811647891998291, 0.00673689603805542, 0.006723584175109864, 0.006774784088134766, 0.006723584175109864, 0.006739967823028564, 0.0067358717918396, 0.006739967823028564, 0.006717440128326416, 0.006739967823028564, 0.0067051520347595215, 0.006780928134918213, 0.006706175804138184, 0.006874112129211426, 0.006763519763946534, 0.006729728221893311, 0.006726655960083008, 0.006752255916595459, 0.0067010560035705566, 0.006756351947784424, 0.006718463897705078, 0.006817791938781738, 0.007201791763305664, 0.006953983783721924, 0.007018496036529541, 0.006915071964263916, 0.006966271877288818, 0.006953983783721924, 0.006956031799316406, 0.006920191764831543, 0.00694374418258667, 0.00709939193725586, 0.006912000179290771, 0.006710271835327148, 0.006819839954376221, 0.006730751991271973, 0.006739967823028564, 0.0067276802062988285, 0.006729728221893311, 0.006692863941192627, 0.0067051520347595215, 0.0067358717918396, 0.006722559928894043, 0.006740992069244385, 0.006744063854217529, 0.006699007987976074, 0.006892543792724609, 0.006709248065948486, 0.006807551860809326, 0.0067983360290527345, 0.006761472225189209, 0.006715392112731934, 0.00672051191329956, 0.006797311782836914, 0.014218239784240723, 0.0067358717918396, 0.0069621758460998535, 0.007168000221252442, 0.007048192024230957, 0.007046144008636474, 0.006990848064422607, 0.006974463939666748, 0.006982656002044678, 0.006985727787017822, 0.006969344139099121, 0.006968319892883301, 0.006947840213775635, 0.0068249602317810056, 0.006723584175109864, 0.0067348480224609375, 0.0067276802062988285, 0.006848512172698974, 0.00674508810043335, 0.0067051520347595215, 0.006748223781585693, 0.006714303970336914, 0.0067276802062988285, 0.006804480075836182, 0.006754303932189941, 0.0067758078575134275, 0.006685696125030518, 0.006730751991271973, 0.006726655960083008, 0.0067276802062988285, 0.006749216079711914, 0.006711264133453369, 0.006721536159515381, 0.00672870397567749, 0.006696959972381592, 0.006729728221893311, 0.006738944053649902, 0.0067358717918396, 0.006718463897705078, 0.006738944053649902, 0.00674508810043335, 0.0067010560035705566, 0.00672051191329956, 0.0068055038452148435, 0.0067758078575134275, 0.006834176063537598, 0.00673689603805542, 0.0067051520347595215, 0.006752255916595459, 0.006779903888702392, 0.006749184131622315, 0.006716415882110595, 0.006848512172698974, 0.006749184131622315, 0.00676966381072998, 0.006834176063537598, 0.006716415882110595, 0.006725632190704346, 0.00672054386138916, 0.0067338237762451176, 0.006743008136749267, 0.0067686400413513184, 0.006751232147216797, 0.014236672401428223, 0.006725632190704346, 0.0067348480224609375, 0.006715456008911133, 0.006762432098388672, 0.006743040084838867, 0.006689792156219483, 0.006709248065948486, 0.006738944053649902, 0.006714431762695312, 0.006792128086090088, 0.0067686400413513184, 0.006730751991271973, 0.00672870397567749, 0.006724607944488525, 0.006722559928894043, 0.006778880119323731, 0.006765567779541016, 0.006713344097137451, 0.006707200050354004, 0.006724607944488525, 0.006759424209594727, 0.006701087951660157, 0.006740960121154785, 0.006726687908172608, 0.0067266240119934085, 0.006749184131622315, 0.006730751991271973, 0.006681600093841553, 0.006766592025756836, 0.006635519981384277, 0.006624256134033203, 0.006654975891113281, 0.006649856090545654, 0.006687744140625, 0.006709248065948486, 0.006715392112731934, 0.006750207901000976, 0.006752255916595459, 0.006715392112731934, 0.006703104019165039, 0.006806528091430664, 0.006752255916595459, 0.006755328178405762, 0.006747136116027832, 0.006730751991271973, 0.006707200050354004, 0.006713344097137451, 0.006737919807434082, 0.006721536159515381, 0.0067348480224609375, 0.006743040084838867, 0.006743040084838867, 0.006818816184997558, 0.0067358717918396, 0.006817791938781738, 0.006703104019165039, 0.006765567779541016, 0.006790143966674805, 0.0066938881874084475, 0.006729728221893311, 0.006721536159515381, 0.006699007987976074, 0.01420083236694336, 0.00677785587310791, 0.006897664070129395, 0.006767615795135498, 0.0068392958641052244, 0.00672051191329956, 0.006792191982269287, 0.0068351998329162595, 0.006717504024505615, 0.006688704013824463, 0.006752255916595459, 0.006723584175109864, 0.0067870721817016606, 0.00678604793548584, 0.0068884482383728025, 0.007054336071014404, 0.006791168212890625, 0.006876160144805908, 0.007169023990631103, 0.006994944095611572, 0.006714367866516113, 0.006750207901000976, 0.006793216228485107, 0.006711296081542969, 0.006751232147216797, 0.00672870397567749, 0.00667955207824707, 0.006749184131622315, 0.006797311782836914, 0.006726655960083008, 0.006689792156219483, 0.006719488143920899, 0.006754303932189941, 0.0067010560035705566, 0.006744063854217529, 0.00672051191329956, 0.006690815925598144, 0.006833151817321777, 0.0067276802062988285, 0.006732800006866455, 0.00674508810043335, 0.006746111869812011, 0.006723584175109864, 0.006754303932189941, 0.00673689603805542, 0.006783008098602295, 0.006755296230316162, 0.006714367866516113, 0.006714367866516113, 0.006867968082427979, 0.006754303932189941, 0.006830143928527832, 0.006731711864471436, 0.006782976150512696, 0.0067717118263244626, 0.006706175804138184, 0.00684441614151001, 0.006978559970855713, 0.006996992111206054, 0.006918144226074219, 0.006971392154693603, 0.0068853759765625, 0.006964223861694336, 0.015036416053771973, 0.007065599918365479, 0.006990848064422607, 0.007023615837097168, 0.006948863983154297, 0.006990848064422607, 0.006958079814910889, 0.007014400005340577, 0.00693452787399292, 0.006964223861694336, 0.0069253120422363285, 0.006949888229370117, 0.006964223861694336, 0.006959104061126709, 0.006947840213775635, 0.006916096210479736, 0.006853631973266602, 0.006752255916595459, 0.006746111869812011, 0.006703104019165039, 0.006756351947784424, 0.006773759841918945, 0.00672051191329956, 0.006751232147216797, 0.00672051191329956, 0.0067123198509216305, 0.006843391895294189, 0.006763519763946534, 0.006758399963378906, 0.006754303932189941, 0.0067358717918396, 0.006692863941192627, 0.006746111869812011, 0.00674508810043335, 0.006715392112731934, 0.00674508810043335, 0.006738944053649902, 0.006743040084838867, 0.006750207901000976, 0.00672979211807251, 0.00669484806060791, 0.006716415882110595, 0.006749184131622315, 0.006749184131622315, 0.006710271835327148, 0.006737919807434082, 0.006803455829620361, 0.0067051520347595215, 0.006708223819732666, 0.006780928134918213, 0.006688767910003662, 0.0067348480224609375, 0.006717440128326416, 0.006715392112731934, 0.006817791938781738, 0.0067420158386230465, 0.0067870721817016606, 0.006800384044647217, 0.006766592025756836, 0.006739999771118164, 0.006708191871643066, 0.006755328178405762, 0.006746111869812011, 0.014143487930297852, 0.006750207901000976, 0.006739967823028564, 0.006726655960083008, 0.006748159885406494, 0.0067246718406677244, 0.006729663848876953, 0.0067717118263244626, 0.006810624122619629, 0.006706175804138184, 0.006749184131622315, 0.00673689603805542, 0.006711296081542969, 0.0067420158386230465, 0.006732800006866455, 0.006719488143920899, 0.0067645440101623535, 0.006759424209594727, 0.006724607944488525, 0.00672870397567749, 0.006749184131622315, 0.006729728221893311, 0.006677504062652588, 0.006738944053649902, 0.006686751842498779, 0.0066969280242919925, 0.006802432060241699, 0.006756351947784424, 0.007007232189178467, 0.007004159927368164, 0.006947840213775635, 0.007006207942962647, 0.006967296123504638, 0.006986752033233643, 0.006968319892883301, 0.0070553598403930665, 0.006969344139099121, 0.006975488185882568, 0.006986752033233643, 0.0069632000923156735, 0.006961152076721191, 0.006985727787017822, 0.006971392154693603, 0.007068672180175781, 0.006986752033233643, 0.006994944095611572, 0.006972415924072266, 0.006941696166992187, 0.006953983783721924, 0.006989823818206787, 0.006973440170288086, 0.006994944095611572, 0.006929408073425293, 0.006985727787017822, 0.006967296123504638, 0.0070522880554199216, 0.006951935768127441, 0.007003136157989502, 0.006975488185882568, 0.006987775802612305, 0.006959104061126709, 0.00694374418258667, 0.00694271993637085, 0.014244864463806153, 0.006744063854217529, 0.006746111869812011, 0.0067276802062988285, 0.006718463897705078, 0.006841343879699707, 0.006713344097137451, 0.00678604793548584, 0.006906879901885986, 0.006791168212890625, 0.006716415882110595, 0.006849535942077637, 0.006762495994567871, 0.006692863941192627, 0.006747136116027832, 0.006708223819732666, 0.006703104019165039, 0.00679423999786377, 0.006711296081542969, 0.006789120197296142, 0.006779903888702392, 0.00676358413696289, 0.0067491202354431155, 0.006688767910003662, 0.0067420477867126466, 0.00675222396850586, 0.006725632190704346, 0.006752255916595459, 0.0067420158386230465, 0.006717504024505615, 0.006833087921142578, 0.007392255783081054, 0.007624703884124756, 0.007074816226959229, 0.00697654390335083, 0.007215072154998779, 0.006989823818206787, 0.006999040126800537, 0.007142399787902832, 0.006996992111206054, 0.006988800048828125, 0.006978559970855713, 0.006941696166992187, 0.006982656002044678, 0.00693555212020874, 0.006973440170288086, 0.006958079814910889, 0.006959104061126709, 0.006960127830505371, 0.0069959678649902345, 0.0069632000923156735, 0.006716415882110595, 0.006729728221893311, 0.0067062082290649415, 0.006729695796966553, 0.0067348480224609375, 0.006683648109436035, 0.006800384044647217, 0.006818816184997558, 0.006718463897705078, 0.006850560188293457, 0.0067420158386230465, 0.006748159885406494, 0.014536704063415527, 0.006968319892883301, 0.006966271877288818, 0.00695091199874878, 0.00704204797744751, 0.006987775802612305, 0.006970367908477783, 0.006851583957672119, 0.006754303932189941, 0.0068884482383728025, 0.006730751991271973, 0.006762495994567871, 0.006744063854217529, 0.006726655960083008, 0.00675328016281128, 0.006760447978973389, 0.006747136116027832, 0.006714367866516113, 0.006825984001159668, 0.006810624122619629, 0.006713344097137451, 0.006802432060241699, 0.0073820161819458, 0.0069918718338012695, 0.007038976192474365, 0.007009280204772949, 0.006915071964263916, 0.006946815967559815, 0.0069027838706970214, 0.006979584217071533, 0.007037951946258545, 0.0069847040176391605, 0.007095295906066895, 0.006979584217071533, 0.006982656002044678, 0.006957056045532227, 0.006939648151397705, 0.007016448020935059, 0.007017471790313721, 0.006959104061126709, 0.007007232189178467, 0.006953983783721924, 0.006958079814910889, 0.006985727787017822, 0.007005184173583984, 0.00695091199874878, 0.0069959678649902345, 0.006952960014343262, 0.006946815967559815, 0.006927360057830811, 0.006949888229370117, 0.006945792198181152, 0.006974463939666748, 0.007023615837097168, 0.006964223861694336, 0.006966271877288818, 0.006936575889587402, 0.007049215793609619, 0.007016448020935059, 0.006938623905181885, 0.006959104061126709, 0.006936575889587402, 0.006927360057830811, 0.014215167999267577, 0.006761472225189209, 0.006815743923187256, 0.006685696125030518, 0.006874112129211426, 0.006820864200592041, 0.006779903888702392, 0.006732800006866455, 0.006800384044647217, 0.006703104019165039, 0.00673689603805542, 0.006716415882110595, 0.0066979842185974124, 0.006699007987976074, 0.006696959972381592, 0.006717440128326416, 0.006749184131622315, 0.006707200050354004, 0.00672870397567749, 0.006694911956787109, 0.006708223819732666, 0.0066938881874084475, 0.006688767910003662, 0.006703104019165039, 0.006685696125030518, 0.006864895820617676, 0.006916096210479736, 0.0067983360290527345, 0.006809599876403808, 0.006807551860809326, 0.00673689603805542, 0.006708223819732666, 0.006715392112731934, 0.006714367866516113, 0.00678607988357544, 0.006709216117858886, 0.006750207901000976, 0.0067123198509216305, 0.006722591876983643, 0.006701024055480957, 0.006739007949829102, 0.006764480113983154, 0.006756351947784424, 0.006732800006866455, 0.006713344097137451, 0.006716415882110595, 0.006711296081542969, 0.006681600093841553, 0.006714367866516113, 0.006699007987976074, 0.006694911956787109, 0.006732800006866455, 0.006689792156219483, 0.006703104019165039, 0.0067758078575134275, 0.006743040084838867, 0.006756351947784424, 0.006776832103729248, 0.006760447978973389, 0.006729728221893311, 0.006706175804138184, 0.00673689603805542, 0.00672051191329956, 0.014218239784240723, 0.0067010560035705566, 0.006730751991271973, 0.006715392112731934, 0.006696959972381592, 0.006707200050354004, 0.006708223819732666, 0.006744063854217529, 0.006721536159515381, 0.006673408031463623, 0.006746111869812011, 0.006691840171813965, 0.006708223819732666, 0.006749184131622315, 0.006730751991271973, 0.006725696086883545, 0.006710207939147949, 0.006713344097137451, 0.0067041277885437015, 0.006717440128326416, 0.0067051520347595215, 0.006686719894409179, 0.00669593620300293, 0.006739967823028564, 0.006729728221893311, 0.006884352207183838, 0.0067573761940002445, 0.006692863941192627, 0.006700032234191895, 0.006709248065948486, 0.006714367866516113, 0.006707200050354004, 0.006751232147216797, 0.006714367866516113, 0.0067870721817016606, 0.0067420158386230465, 0.006709248065948486, 0.006677504062652588, 0.0067123198509216305, 0.0067041277885437015, 0.0068351998329162595, 0.006729728221893311, 0.006744063854217529, 0.006694911956787109, 0.006737919807434082, 0.0067348480224609375, 0.00672870397567749, 0.006865920066833496, 0.006730751991271973, 0.0067041277885437015, 0.006690815925598144, 0.0067420158386230465, 0.006709248065948486, 0.006683648109436035, 0.006721536159515381, 0.006699007987976074, 0.006702079772949219, 0.006723584175109864, 0.006755328178405762, 0.0067573761940002445, 0.006694911956787109, 0.006703104019165039, 0.0066826238632202144, 0.014199808120727539, 0.006708223819732666, 0.006726655960083008, 0.006726655960083008, 0.0067051520347595215, 0.006708223819732666, 0.006747136116027832, 0.006862847805023193, 0.00672051191329956, 0.00674508810043335, 0.006713344097137451, 0.006717440128326416, 0.006710271835327148, 0.006726655960083008, 0.006721536159515381, 0.006719488143920899, 0.006707200050354004, 0.006739967823028564, 0.006916096210479736, 0.006788095951080322, 0.006837247848510742, 0.006850560188293457, 0.0070225920677185055, 0.007953407764434815, 0.007171072006225586, 0.006988800048828125, 0.0069632000923156735, 0.007014400005340577, 0.00724889612197876, 0.007015423774719238, 0.006952960014343262, 0.007001088142395019, 0.007005184173583984, 0.006944767951965332, 0.00694374418258667, 0.007057407855987549, 0.006978559970855713, 0.006953983783721924, 0.006904831886291504, 0.006892543792724609, 0.006957056045532227, 0.006884352207183838, 0.006863872051239014, 0.00689356803894043, 0.006924287796020508, 0.006998015880584717, 0.006892543792724609, 0.006951935768127441, 0.007155712127685547, 0.007081984043121338, 0.006960127830505371, 0.007018496036529541, 0.0070522880554199216, 0.007150591850280762, 0.0070860800743103025, 0.0070522880554199216, 0.00693452787399292, 0.007058432102203369, 0.006945792198181152, 0.006958079814910889, 0.006944767951965332, 0.006970367908477783, 0.006941696166992187, 0.014789631843566894, 0.0069632000923156735, 0.006973440170288086, 0.006958079814910889, 0.0069632000923156735, 0.0069621758460998535, 0.006931456089019775, 0.006985727787017822, 0.006957056045532227, 0.006941696166992187, 0.006929408073425293, 0.006923264026641846, 0.006958079814910889, 0.006957056045532227, 0.006990848064422607, 0.006978559970855713, 0.00698367977142334, 0.006944767951965332, 0.006917119979858399, 0.00695091199874878, 0.006904831886291504, 0.006956031799316406, 0.006967296123504638, 0.006953983783721924, 0.006938623905181885, 0.006903808116912841, 0.006965248107910156, 0.006949888229370117, 0.00693555212020874, 0.006973440170288086, 0.006994944095611572, 0.006939648151397705, 0.0069816322326660156, 0.006960127830505371, 0.006980607986450196, 0.0070563840866088865, 0.006985727787017822, 0.006752287864685059, 0.0067337918281555175, 0.006853695869445801, 0.006733759880065918, 0.006716415882110595, 0.006744063854217529, 0.006700032234191895, 0.006732800006866455, 0.006743040084838867, 0.006779903888702392, 0.007061503887176514, 0.007062528133392334, 0.006999040126800537, 0.006979584217071533, 0.006915071964263916, 0.006968319892883301, 0.00692633581161499, 0.0069283838272094726, 0.006938623905181885, 0.00801689624786377, 0.007638016223907471, 0.00704307222366333, 0.007014400005340577, 0.006941696166992187, 0.0070225920677185055, 0.007076863765716553, 0.014768128395080566, 0.006933504104614257, 0.006961152076721191, 0.006966271877288818, 0.006978559970855713, 0.006912000179290771, 0.0067358717918396, 0.006732800006866455, 0.0066979842185974124, 0.006715392112731934, 0.006730751991271973, 0.006721536159515381, 0.006842368125915528, 0.00672870397567749, 0.006711296081542969, 0.006741055965423584, 0.00674399995803833, 0.0067758078575134275, 0.006959104061126709, 0.006964223861694336, 0.006971392154693603, 0.006915135860443115, 0.006940608024597168, 0.006872064113616944, 0.0069959678649902345, 0.007156735897064209, 0.006993919849395752, 0.006974463939666748, 0.006920191764831543, 0.006889472007751465, 0.00695091199874878, 0.006952960014343262, 0.00695091199874878, 0.006915071964263916, 0.0070830078125, 0.006978559970855713, 0.006952960014343262, 0.0069632000923156735, 0.006980607986450196, 0.007064576148986816, 0.0069918718338012695, 0.006924287796020508, 0.006948863983154297, 0.006966271877288818, 0.006948863983154297, 0.00679423999786377, 0.006752319812774658, 0.006724544048309326, 0.006639616012573242, 0.0066641921997070315, 0.006675456047058105, 0.006716415882110595, 0.006661119937896728, 0.006628352165222168, 0.006649856090545654, 0.006746111869812011, 0.006722559928894043, 0.006972415924072266, 0.006773759841918945, 0.0067686400413513184, 0.006724607944488525, 0.006721536159515381, 0.006733888149261474, 0.014669759750366211, 0.007174143791198731, 0.007038976192474365, 0.006959104061126709, 0.006977536201477051, 0.007017471790313721, 0.006961152076721191, 0.006960127830505371, 0.007027711868286133, 0.00693452787399292, 0.007000063896179199, 0.006951935768127441, 0.006958079814910889, 0.006951935768127441, 0.006952960014343262, 0.006959104061126709, 0.006951935768127441, 0.006958079814910889, 0.0069816322326660156, 0.006946815967559815, 0.006924287796020508, 0.00698367977142334, 0.006944767951965332, 0.006986752033233643, 0.006969344139099121, 0.006968319892883301, 0.006915103912353515, 0.0069242558479309085, 0.006949888229370117, 0.007111680030822754, 0.007015423774719238, 0.006973440170288086, 0.006959104061126709, 0.007012351989746094, 0.006980607986450196, 0.006960127830505371, 0.00693555212020874, 0.006985727787017822, 0.006936575889587402, 0.006973440170288086, 0.006958079814910889, 0.0069959678649902345, 0.006958079814910889, 0.006933504104614257, 0.007006207942962647, 0.006975552082061767, 0.006967232227325439, 0.006929408073425293, 0.006957056045532227, 0.006936575889587402, 0.006938623905181885, 0.006901792049407959, 0.0069539518356323245, 0.006959104061126709, 0.006945792198181152, 0.006958079814910889, 0.007050240039825439, 0.006960127830505371, 0.00695091199874878, 0.006949888229370117, 0.006945792198181152, 0.006960127830505371, 0.006976511955261231, 0.014671872138977051, 0.00683622407913208, 0.006738944053649902, 0.006726655960083008, 0.006732800006866455, 0.006713344097137451, 0.006724607944488525, 0.006717440128326416, 0.00672051191329956, 0.006718463897705078, 0.006726655960083008, 0.006715392112731934, 0.006681600093841553, 0.006816768169403077, 0.006746111869812011, 0.006716415882110595, 0.006724607944488525, 0.00672051191329956, 0.006711296081542969, 0.006715392112731934, 0.0067123198509216305, 0.006715392112731934, 0.006703104019165039, 0.00672870397567749, 0.0068392958641052244, 0.0067348480224609375, 0.006721536159515381, 0.006716415882110595, 0.006694911956787109, 0.006722559928894043, 0.0067338237762451176, 0.006718463897705078, 0.0066979842185974124, 0.006731776237487793, 0.006715392112731934, 0.006724607944488525, 0.006729728221893311, 0.00672870397567749, 0.0066938881874084475, 0.006746111869812011, 0.006687744140625, 0.006737919807434082, 0.0067010560035705566, 0.0067041277885437015, 0.007002111911773682, 0.006776832103729248, 0.006823935985565186, 0.00672870397567749, 0.0067983360290527345, 0.006721536159515381, 0.006727744102478028, 0.006747072219848633, 0.007356416225433349, 0.006988800048828125, 0.006908927917480469, 0.0069304962158203125, 0.006955967903137207, 0.007030784130096435, 0.00693452787399292, 0.006971392154693603, 0.00694374418258667, 0.007005184173583984, 0.006920191764831543, 0.014754816055297852, 0.00694374418258667, 0.006967296123504638, 0.006953983783721924, 0.007035903930664063, 0.006876160144805908, 0.0067123198509216305, 0.006750207901000976, 0.0067276802062988285, 0.0067276802062988285, 0.006765567779541016, 0.006766592025756836, 0.006710271835327148, 0.006762495994567871, 0.006740992069244385, 0.006776832103729248, 0.006737919807434082, 0.0067276802062988285, 0.006760447978973389, 0.006696959972381592, 0.006744063854217529, 0.006744063854217529, 0.006723584175109864, 0.0068076162338256835, 0.006731711864471436, 0.0067358717918396, 0.006700064182281494, 0.006725599765777588, 0.006718463897705078, 0.006722591876983643, 0.0067337918281555175, 0.0066938881874084475, 0.006730751991271973, 0.006706175804138184, 0.006865920066833496, 0.006724607944488525, 0.006740992069244385, 0.006723584175109864, 0.0067041277885437015, 0.006717440128326416, 0.006737919807434082, 0.006715392112731934, 0.006823935985565186, 0.006739967823028564, 0.006714367866516113, 0.006762495994567871, 0.0067420477867126466, 0.006771679878234863, 0.006731776237487793, 0.006722559928894043, 0.006687744140625, 0.0067338237762451176, 0.006725632190704346, 0.006715392112731934, 0.006706175804138184, 0.006725632190704346, 0.006715392112731934, 0.006710271835327148, 0.006723584175109864, 0.006709248065948486, 0.006684671878814697, 0.006709248065948486, 0.0067123198509216305, 0.01426643180847168, 0.0067255678176879885, 0.006780928134918213, 0.006709248065948486, 0.006739967823028564, 0.006708223819732666, 0.00673689603805542, 0.006763519763946534, 0.006716415882110595, 0.0067051520347595215, 0.006726655960083008, 0.006707200050354004, 0.006721536159515381, 0.00673689603805542, 0.0067348480224609375, 0.006732800006866455, 0.006763519763946534, 0.0067123198509216305, 0.006706175804138184, 0.006708223819732666, 0.0067010560035705566, 0.00676966381072998, 0.00679423999786377, 0.006707200050354004, 0.006684671878814697, 0.00669593620300293, 0.006684671878814697, 0.006699007987976074, 0.006675456047058105, 0.006808576107025147, 0.006714367866516113, 0.006790143966674805, 0.00673689603805542, 0.0067686400413513184, 0.006692863941192627, 0.006718463897705078, 0.0067123198509216305, 0.006731776237487793, 0.006737919807434082, 0.006729728221893311, 0.006708223819732666, 0.0067420158386230465, 0.0067358717918396, 0.006760447978973389, 0.00672870397567749, 0.006732800006866455, 0.006722559928894043, 0.006713344097137451, 0.006749184131622315, 0.006750207901000976, 0.006699007987976074, 0.0067420158386230465, 0.006740992069244385, 0.006699007987976074, 0.006751232147216797, 0.006732800006866455, 0.006831103801727295, 0.0068055038452148435, 0.006739967823028564, 0.006724607944488525, 0.006737919807434082, 0.006761504173278809, 0.006738912105560302, 0.01487667179107666, 0.006949888229370117, 0.00692633581161499, 0.006870016098022461, 0.007027711868286133, 0.006979584217071533, 0.0069632000923156735, 0.006959104061126709, 0.007003136157989502, 0.007009280204772949, 0.006994976043701172, 0.006966303825378418, 0.007005119800567627, 0.007029759883880615, 0.006985727787017822, 0.007004159927368164, 0.007013376235961914, 0.007021567821502686, 0.0069847040176391605, 0.007036928176879883, 0.007038976192474365, 0.006982656002044678, 0.006987775802612305, 0.006975488185882568, 0.007032832145690918, 0.006986752033233643, 0.006975488185882568, 0.006973440170288086, 0.006967296123504638, 0.006989823818206787, 0.006965248107910156, 0.006952960014343262, 0.006985727787017822, 0.006965248107910156, 0.006945792198181152, 0.006945824146270752, 0.0069508800506591795, 0.007271423816680909, 0.0069928960800170895, 0.006933504104614257, 0.0069621758460998535, 0.0069847040176391605, 0.006964223861694336, 0.006957056045532227, 0.007038976192474365, 0.006969344139099121, 0.0069816322326660156, 0.00694374418258667, 0.006977536201477051, 0.006970367908477783, 0.006953983783721924, 0.006970367908477783, 0.006973440170288086, 0.00693555212020874, 0.007002111911773682, 0.0070553598403930665, 0.0070256638526916505, 0.006982656002044678, 0.006973440170288086, 0.007006207942962647, 0.006969344139099121, 0.0069918718338012695, 0.006994944095611572]",tokens/s,143.27762777705752,,,,,,1,64,1 -4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10761,7 +10761,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -11397,7 +11397,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -13866,7 +13866,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -14560,7 +14560,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -14661,7 +14661,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -15362,7 +15362,7 @@ ChildProcessError: Traceback (most recent call last): AssertionError: AWQ kernels could not be loaded. Please install them from https://github.com/casper-hansen/AutoAWQ_kernels ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -15631,7 +15631,7 @@ ChildProcessError: Traceback (most recent call last): AssertionError: AWQ kernels could not be loaded. Please install them from https://github.com/casper-hansen/AutoAWQ_kernels ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -16524,7 +16524,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: FalconForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpit8cn3cw/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -17150,7 +17150,7 @@ ChildProcessError: Traceback (most recent call last): AssertionError: AWQ kernels could not be loaded. Please install them from https://github.com/casper-hansen/AutoAWQ_kernels ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -18061,7 +18061,7 @@ AssertionError: AWQ kernels could not be loaded. Please install them from https: ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-awq-gemv-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,MB,1213.62432,1005.060096,0.0,358.612992,318.913024,s,23,0.17213225698471069,0.007484011173248292,0.0002954761638434772,0.00736678409576416,0.007821849536895752,0.007996079683303832,0.008394954490661622,"[0.008502976417541504, 0.007853087902069091, 0.007601344108581543, 0.007378464221954346, 0.007268896102905273, 0.007655648231506348, 0.007272704124450684, 0.0072911038398742675, 0.007318528175354004, 0.007696896076202392, 0.007447904109954834, 0.007239327907562256, 0.0075630397796630855, 0.00736678409576416, 0.00744265604019165, 0.0073199357986450195, 0.0072409920692443844, 0.007361631870269775, 0.008011967658996581, 0.007415616035461426, 0.007298208236694336, 0.007331200122833252, 0.007253344058990478]",tokens/s,34206.25571953657,kWh,8.567134822637681e-08,4.694379339333844e-08,1.8252431812478173e-07,3.1513945974449696e-07,tokens/kWh,812338766.4862884,MB,1213.919232,1005.060096,0.0,358.612992,328.804864,s,23,10.179620391845702,0.44259219094981317,0.01146519580496095,0.440910888671875,0.4509195068359375,0.45184952392578126,0.47989753540039065,"[0.48779537963867187, 0.448875732421875, 0.44378817749023436, 0.45189608764648437, 0.4514304504394531, 0.44095208740234376, 0.4469196472167969, 0.44514892578125, 0.4451697692871094, 0.4480313720703125, 0.43288784790039064, 0.4424725341796875, 0.43655374145507814, 0.4358661193847656, 0.43621551513671875, 0.43264309692382813, 0.43890673828125, 0.4397151184082031, 0.440910888671875, 0.43340951538085937, 0.4314309692382812, 0.4308625793457031, 0.43773809814453124]",tokens/s,142.34322540757108,kWh,5.0166983791335025e-06,2.748945515611113e-06,8.752610144789825e-06,1.6518254039534438e-05,tokens/kWh,3813962.4108708547,,s,1448,10.335379461288454,0.007137692998127384,0.0009868185197434377,0.006937600135803222,0.007357337760925293,0.007660748958587645,0.014534717473983765,"[0.008195072174072266, 0.00812339210510254, 0.00801587200164795, 0.008057855606079101, 0.008011775970458984, 0.007906303882598878, 0.00791756820678711, 0.007833600044250488, 0.007880703926086426, 0.007682047843933106, 0.007670783996582031, 0.007756800174713135, 0.007795711994171142, 0.007764992237091065, 0.007696383953094482, 0.007667712211608887, 0.0077578239440917966, 0.00774348783493042, 0.007739391803741455, 0.007702527999877929, 0.007682047843933106, 0.007706624031066894, 0.007713791847229004, 0.007598144054412842, 0.007613376140594482, 0.007663616180419922, 0.007570432186126709, 0.007678976058959961, 0.007840767860412597, 0.00774451208114624, 0.007902207851409913, 0.007857151985168457, 0.007699456214904785, 0.007651328086853027, 0.0077608962059021, 0.007738368034362793, 0.007944191932678223, 0.007785535812377929, 0.007604159832000732, 0.007642111778259277, 0.007798783779144287, 0.00800153636932373, 0.007988224029541016, 0.007651328086853027, 0.007670783996582031, 0.007618559837341309, 0.007618559837341309, 0.0076871681213378906, 0.007786496162414551, 0.007779327869415284, 0.007712768077850342, 0.0077209601402282715, 0.007654399871826172, 0.00759500789642334, 0.007616511821746826, 0.007543807983398438, 0.007494656085968018, 0.007342080116271973, 0.0075345921516418455, 0.007566336154937744, 0.0072427520751953125, 0.007305215835571289, 0.015635456085205078, 0.007311359882354736, 0.007363584041595459, 0.007344128131866455, 0.0074403839111328125, 0.007830527782440186, 0.008690688133239746, 0.008432703971862793, 0.00839571189880371, 0.007342112064361572, 0.007289824008941651, 0.007284736156463623, 0.007127039909362793, 0.007045119762420654, 0.007054336071014404, 0.007201791763305664, 0.006994944095611572, 0.006974463939666748, 0.006927360057830811, 0.007143424034118652, 0.0069550080299377445, 0.006974463939666748, 0.00693555212020874, 0.006971392154693603, 0.0069816322326660156, 0.006960159778594971, 0.006988768100738525, 0.0069632000923156735, 0.006927360057830811, 0.00689356803894043, 0.007094272136688232, 0.006958079814910889, 0.0069621758460998535, 0.006900735855102539, 0.006949888229370117, 0.006958144187927246, 0.006945727825164795, 0.006938623905181885, 0.006916128158569336, 0.00694268798828125, 0.007147520065307617, 0.007170048236846924, 0.006980607986450196, 0.006986752033233643, 0.0069816322326660156, 0.006958079814910889, 0.007050240039825439, 0.006980607986450196, 0.006947840213775635, 0.00692633581161499, 0.006940671920776367, 0.007095295906066895, 0.006964223861694336, 0.00694374418258667, 0.006953983783721924, 0.006959104061126709, 0.006947840213775635, 0.006913023948669434, 0.0069550080299377445, 0.006953983783721924, 0.006941696166992187, 0.007145472049713135, 0.007001088142395019, 0.014993408203125, 0.00709222412109375, 0.006938623905181885, 0.006882304191589355, 0.006881279945373535, 0.006842368125915528, 0.006936575889587402, 0.006913023948669434, 0.006815743923187256, 0.006918144226074219, 0.006865920066833496, 0.006867968082427979, 0.0068577280044555666, 0.006858751773834228, 0.006863872051239014, 0.006875135898590088, 0.006853631973266602, 0.007525375843048096, 0.007489535808563232, 0.007001088142395019, 0.00703385591506958, 0.00728166389465332, 0.007162879943847656, 0.007536640167236328, 0.007039999961853028, 0.007048192024230957, 0.007231488227844239, 0.0069283838272094726, 0.006907904148101806, 0.0068055038452148435, 0.006906879901885986, 0.0068986878395080565, 0.0068249602317810056, 0.006871039867401123, 0.006906879901885986, 0.006820864200592041, 0.006870016098022461, 0.006823935985565186, 0.006914048194885254, 0.006959136009216309, 0.0072754878997802735, 0.007408639907836914, 0.007152703762054444, 0.007389120101928711, 0.007087103843688965, 0.007016448020935059, 0.007097343921661377, 0.007047167778015137, 0.0071157760620117185, 0.007316480159759522, 0.00704204797744751, 0.006982656002044678, 0.007080959796905518, 0.007049215793609619, 0.007058432102203369, 0.00704307222366333, 0.006999040126800537, 0.006974463939666748, 0.007352320194244385, 0.007324672222137451, 0.007363584041595459, 0.007136256217956543, 0.007076863765716553, 0.014966815948486327, 0.007409696102142334, 0.007022528171539306, 0.00738099193572998, 0.00745472002029419, 0.007050240039825439, 0.007060480117797851, 0.006982656002044678, 0.007408639907836914, 0.007277567863464355, 0.007288832187652588, 0.007314432144165039, 0.007117824077606201, 0.0073471999168395995, 0.007028736114501953, 0.007010303974151612, 0.007296000003814697, 0.00727347183227539, 0.007276576042175293, 0.007039968013763428, 0.0069621758460998535, 0.0071905279159545895, 0.00707583999633789, 0.007655424118041992, 0.0072427520751953125, 0.0071157760620117185, 0.007131135940551757, 0.007264256000518799, 0.007327744007110596, 0.007291903972625732, 0.00704204797744751, 0.0073820161819458, 0.0073175039291381834, 0.007080959796905518, 0.0070256638526916505, 0.007310336112976074, 0.007068672180175781, 0.007049215793609619, 0.007359488010406494, 0.0070266880989074704, 0.007018496036529541, 0.007278592109680176, 0.007113728046417236, 0.007501823902130127, 0.0073175039291381834, 0.007334911823272705, 0.007279615879058838, 0.0070830078125, 0.007013376235961914, 0.007484416007995606, 0.007090176105499267, 0.007300096035003662, 0.007268352031707764, 0.007077888011932373, 0.00702569580078125, 0.00705020809173584, 0.0067727680206298825, 0.006994912147521973, 0.0068577280044555666, 0.00687718391418457, 0.0069621758460998535, 0.0068392958641052244, 0.006848512172698974, 0.01468825626373291, 0.007111680030822754, 0.007364607810974121, 0.007379968166351319, 0.007293951988220215, 0.007302144050598145, 0.006940671920776367, 0.007279615879058838, 0.007326720237731933, 0.006956031799316406, 0.007027711868286133, 0.007060480117797851, 0.007076863765716553, 0.007342080116271973, 0.007336959838867187, 0.007346176147460938, 0.007097343921661377, 0.007057407855987549, 0.0070522880554199216, 0.0072837119102478025, 0.007009280204772949, 0.007290880203247071, 0.006999040126800537, 0.007349247932434082, 0.007264256000518799, 0.006982656002044678, 0.007415808200836181, 0.0070553598403930665, 0.007288832187652588, 0.0072540159225463864, 0.00703385591506958, 0.007256063938140869, 0.007058432102203369, 0.007041024208068848, 0.007236608028411865, 0.007375872135162354, 0.0073062400817871095, 0.007067647933959961, 0.007071743965148926, 0.006905856132507324, 0.006862847805023193, 0.006831103801727295, 0.006933504104614257, 0.007030784130096435, 0.007114751815795899, 0.006961184024810791, 0.007378911972045899, 0.007236608028411865, 0.0070860800743103025, 0.007071743965148926, 0.007001120090484619, 0.007321568012237549, 0.0070266880989074704, 0.007316480159759522, 0.007300096035003662, 0.007020544052124023, 0.00733900785446167, 0.00739737606048584, 0.007048192024230957, 0.007324672222137451, 0.006982656002044678, 0.0072765440940856935, 0.007237631797790528, 0.01510707187652588, 0.006985727787017822, 0.006979584217071533, 0.007490560054779053, 0.007256063938140869, 0.007046144008636474, 0.0067348480224609375, 0.006822912216186523, 0.006837247848510742, 0.006843391895294189, 0.006853631973266602, 0.006819839954376221, 0.006825984001159668, 0.006837247848510742, 0.0069283838272094726, 0.006841343879699707, 0.006808576107025147, 0.006806528091430664, 0.006895616054534912, 0.006815743923187256, 0.006829055786132812, 0.006858751773834228, 0.00704204797744751, 0.007030784130096435, 0.007068672180175781, 0.00708403205871582, 0.006973440170288086, 0.006959104061126709, 0.006964223861694336, 0.006947840213775635, 0.0069621758460998535, 0.00695091199874878, 0.006960127830505371, 0.006967296123504638, 0.006970367908477783, 0.006953983783721924, 0.006884352207183838, 0.006816768169403077, 0.006875135898590088, 0.006854656219482422, 0.006850560188293457, 0.006810624122619629, 0.006873087882995605, 0.006870016098022461, 0.007052320003509522, 0.007278560161590576, 0.007266304016113281, 0.0069847040176391605, 0.007292960166931152, 0.007252960205078125, 0.007074816226959229, 0.00704204797744751, 0.006967296123504638, 0.007014431953430176, 0.007003104209899903, 0.007286784172058106, 0.006977568149566651, 0.00709935998916626, 0.007393280029296875, 0.0073359360694885255, 0.007111680030822754, 0.0069928960800170895, 0.0073359360694885255, 0.014533632278442383, 0.006855679988861084, 0.007506944179534912, 0.007064576148986816, 0.007284736156463623, 0.0070522880554199216, 0.007080959796905518, 0.00704204797744751, 0.006953983783721924, 0.007001088142395019, 0.007280640125274658, 0.006976511955261231, 0.006967296123504638, 0.00738099193572998, 0.007073791980743408, 0.00704204797744751, 0.007324672222137451, 0.006993919849395752, 0.007066624164581299, 0.007356416225433349, 0.007020544052124023, 0.006980607986450196, 0.0068884482383728025, 0.007078911781311035, 0.007345183849334717, 0.007293920040130616, 0.007304192066192627, 0.007058432102203369, 0.007054336071014404, 0.006940671920776367, 0.007336959838867187, 0.007268352031707764, 0.007261184215545655, 0.007383039951324463, 0.007385087966918945, 0.007312384128570557, 0.007021567821502686, 0.0069959678649902345, 0.007068672180175781, 0.006961152076721191, 0.007123968124389648, 0.007250944137573242, 0.007342080116271973, 0.007113728046417236, 0.00704204797744751, 0.007173120021820068, 0.007278592109680176, 0.007329792022705078, 0.007449600219726562, 0.00695091199874878, 0.006851583957672119, 0.006880256175994873, 0.006897664070129395, 0.006848512172698974, 0.007051263809204102, 0.0069253120422363285, 0.006867968082427979, 0.006882304191589355, 0.006858751773834228, 0.006792191982269287, 0.006841343879699707, 0.006779903888702392, 0.006895616054534912, 0.01447219181060791, 0.007172095775604248, 0.0073471999168395995, 0.007576576232910156, 0.007465983867645264, 0.007352320194244385, 0.007072768211364746, 0.007324672222137451, 0.007292928218841553, 0.007303167819976806, 0.006990848064422607, 0.007078911781311035, 0.006947840213775635, 0.0070266880989074704, 0.007362559795379638, 0.0069816322326660156, 0.007054336071014404, 0.0070348801612854, 0.007058432102203369, 0.006946815967559815, 0.006883359909057617, 0.006878176212310791, 0.006874112129211426, 0.006825984001159668, 0.007016448020935059, 0.007073791980743408, 0.007029759883880615, 0.006994944095611572, 0.007189504146575928, 0.007060480117797851, 0.007044095993041993, 0.006945792198181152, 0.007048192024230957, 0.006937600135803222, 0.006941696166992187, 0.006807551860809326, 0.006872064113616944, 0.00687820816040039, 0.006831103801727295, 0.006799359798431396, 0.0067870721817016606, 0.006863872051239014, 0.00684441614151001, 0.006880256175994873, 0.00683622407913208, 0.0068351998329162595, 0.007450623989105225, 0.00693452787399292, 0.007296000003814697, 0.0073768959045410155, 0.006998015880584717, 0.007038976192474365, 0.007259136199951172, 0.007058432102203369, 0.007111680030822754, 0.007057407855987549, 0.007038976192474365, 0.007117824077606201, 0.007286784172058106, 0.007263232231140137, 0.007035903930664063, 0.007259136199951172, 0.00704307222366333, 0.01439027214050293, 0.00682700777053833, 0.006859776020050049, 0.007128064155578613, 0.007023615837097168, 0.0073175039291381834, 0.006998015880584717, 0.007355391979217529, 0.007331840038299561, 0.00693555212020874, 0.007288832187652588, 0.007228415966033935, 0.007097343921661377, 0.006993919849395752, 0.006975488185882568, 0.006969344139099121, 0.007475200176239013, 0.007070720195770264, 0.0070225920677185055, 0.007303167819976806, 0.006873087882995605, 0.006823935985565186, 0.00674508810043335, 0.006897664070129395, 0.0068392958641052244, 0.007434239864349365, 0.006982656002044678, 0.007323647975921631, 0.0073062400817871095, 0.007073791980743408, 0.006951935768127441, 0.007050240039825439, 0.006871039867401123, 0.006867968082427979, 0.0067717118263244626, 0.0068915200233459475, 0.006905856132507324, 0.006823935985565186, 0.006816768169403077, 0.006823935985565186, 0.006849535942077637, 0.006812672138214112, 0.006834239959716797, 0.0068269438743591305, 0.006854656219482422, 0.006822912216186523, 0.006806528091430664, 0.007372799873352051, 0.0073431038856506346, 0.007008255958557129, 0.007047167778015137, 0.007320576190948487, 0.006998015880584717, 0.007415808200836181, 0.006987775802612305, 0.007264256000518799, 0.007129087924957276, 0.00744755220413208, 0.007197696208953858, 0.007391232013702393, 0.007756800174713135, 0.00724889612197876, 0.007106560230255127, 0.015258624076843261, 0.007053311824798584, 0.00704307222366333, 0.00687718391418457, 0.0068986878395080565, 0.006837247848510742, 0.006834176063537598, 0.006780928134918213, 0.006927360057830811, 0.006812672138214112, 0.006830080032348633, 0.006882304191589355, 0.006819839954376221, 0.006924287796020508, 0.006856704235076904, 0.007327744007110596, 0.0070225920677185055, 0.007003136157989502, 0.00709222412109375, 0.007301119804382325, 0.007288832187652588, 0.0069959678649902345, 0.0072724480628967286, 0.007219200134277344, 0.00728985595703125, 0.007054336071014404, 0.007180287837982178, 0.007039999961853028, 0.007304192066192627, 0.007309343814849854, 0.007380959987640381, 0.00703385591506958, 0.006970367908477783, 0.006937600135803222, 0.007117824077606201, 0.006958079814910889, 0.007385087966918945, 0.006951935768127441, 0.007331840038299561, 0.007268352031707764, 0.0072837119102478025, 0.006937600135803222, 0.007274496078491211, 0.007081984043121338, 0.007299071788787842, 0.006993919849395752, 0.007104512214660645, 0.007288832187652588, 0.0070563840866088865, 0.007156735897064209, 0.00703385591506958, 0.007282688140869141, 0.00704307222366333, 0.0074035201072692874, 0.006968319892883301, 0.007314432144165039, 0.007324672222137451, 0.007074816226959229, 0.006970367908477783, 0.008046591758728027, 0.007085055828094483, 0.0070522880554199216, 0.007054336071014404, 0.01510912036895752, 0.0069918718338012695, 0.007070720195770264, 0.0072724480628967286, 0.006951935768127441, 0.006856704235076904, 0.006837247848510742, 0.006831103801727295, 0.006818816184997558, 0.006773759841918945, 0.006811647891998291, 0.006907904148101806, 0.0067983360290527345, 0.0068689918518066405, 0.006816768169403077, 0.006976511955261231, 0.006865920066833496, 0.006833151817321777, 0.006848512172698974, 0.006790143966674805, 0.00694374418258667, 0.006790143966674805, 0.006804480075836182, 0.006815743923187256, 0.006832159996032715, 0.006866911888122559, 0.00683622407913208, 0.006862847805023193, 0.006796288013458252, 0.006811647891998291, 0.006863872051239014, 0.006809599876403808, 0.006937600135803222, 0.006829055786132812, 0.006810624122619629, 0.0068618240356445315, 0.00677785587310791, 0.006871039867401123, 0.006795263767242431, 0.006913023948669434, 0.0068392958641052244, 0.0069212160110473635, 0.0068249602317810056, 0.006859776020050049, 0.006917119979858399, 0.006814720153808594, 0.006841343879699707, 0.006848512172698974, 0.006887423992156983, 0.006906879901885986, 0.006881279945373535, 0.006870016098022461, 0.006802432060241699, 0.0068403840065002445, 0.006761407852172852, 0.00687820816040039, 0.006825984001159668, 0.00673689603805542, 0.006892543792724609, 0.0068884482383728025, 0.006841343879699707, 0.006825984001159668, 0.006799359798431396, 0.014756863594055175, 0.007226367950439453, 0.007236608028411865, 0.00809267234802246, 0.0074700798988342285, 0.007097343921661377, 0.007128064155578613, 0.0073431038856506346, 0.007114751815795899, 0.00722431993484497, 0.007000063896179199, 0.007351295948028564, 0.007067647933959961, 0.007016448020935059, 0.00714137601852417, 0.007134208202362061, 0.007184383869171143, 0.007386112213134765, 0.007300096035003662, 0.0072837119102478025, 0.007336959838867187, 0.007326720237731933, 0.007062560081481934, 0.007136223793029785, 0.006829055786132812, 0.006880256175994873, 0.006904863834381104, 0.006792160034179687, 0.006924287796020508, 0.006826015949249267, 0.0067604160308837894, 0.006821887969970703, 0.006882304191589355, 0.006898719787597657, 0.006868959903717041, 0.006837247848510742, 0.006811647891998291, 0.006829055786132812, 0.006916096210479736, 0.006834176063537598, 0.006846464157104492, 0.006814720153808594, 0.006897664070129395, 0.006904831886291504, 0.006899712085723877, 0.006858751773834228, 0.006920191764831543, 0.006802495956420899, 0.006924223899841308, 0.006905856132507324, 0.006837247848510742, 0.006739967823028564, 0.006881311893463134, 0.006877151966094971, 0.006774784088134766, 0.006870016098022461, 0.0068689918518066405, 0.006977536201477051, 0.0067348480224609375, 0.006831103801727295, 0.007082047939300537, 0.007328735828399658, 0.007105504035949707, 0.015265791893005372, 0.007007232189178467, 0.007094272136688232, 0.007019519805908203, 0.007029759883880615, 0.007334911823272705, 0.007013376235961914, 0.007321599960327148, 0.007360511779785156, 0.006967296123504638, 0.007035903930664063, 0.007107583999633789, 0.006987775802612305, 0.007321599960327148, 0.006990848064422607, 0.007080959796905518, 0.007327744007110596, 0.006852608203887939, 0.006818816184997558, 0.006819839954376221, 0.006850560188293457, 0.006814720153808594, 0.006842368125915528, 0.006866943836212158, 0.006765567779541016, 0.006838272094726563, 0.006903808116912841, 0.006816768169403077, 0.0068351998329162595, 0.006870016098022461, 0.006903808116912841, 0.0067420158386230465, 0.00682700777053833, 0.006851583957672119, 0.00683622407913208, 0.006849535942077637, 0.00695091199874878, 0.006930431842803955, 0.006820864200592041, 0.006825984001159668, 0.006842368125915528, 0.006903840065002441, 0.006749152183532715, 0.006801407814025879, 0.0068321280479431154, 0.006884352207183838, 0.0067983360290527345, 0.006927360057830811, 0.0068659520149230956, 0.006851552009582519, 0.006815743923187256, 0.006879231929779053, 0.006770688056945801, 0.006820864200592041, 0.0068351998329162595, 0.006905856132507324, 0.006778880119323731, 0.006809599876403808, 0.0069324798583984375, 0.006813695907592773, 0.0068884482383728025, 0.006900735855102539, 0.006858751773834228, 0.014593024253845215, 0.006931519985198974, 0.006945727825164795, 0.0068577280044555666, 0.006807551860809326, 0.00687820816040039, 0.006846464157104492, 0.0068321280479431154, 0.006821887969970703, 0.006852608203887939, 0.006850560188293457, 0.00689356803894043, 0.006864895820617676, 0.006930431842803955, 0.006833151817321777, 0.006841343879699707, 0.006866943836212158, 0.006849535942077637, 0.0072499198913574215, 0.007202816009521484, 0.006822912216186523, 0.006814720153808594, 0.006889472007751465, 0.006825984001159668, 0.006730751991271973, 0.006906879901885986, 0.00687820816040039, 0.006924287796020508, 0.006841407775878906, 0.006832064151763916, 0.006874112129211426, 0.006864895820617676, 0.006862847805023193, 0.006816768169403077, 0.006825984001159668, 0.006821887969970703, 0.006904831886291504, 0.006820864200592041, 0.006754303932189941, 0.006837247848510742, 0.006806528091430664, 0.0069632000923156735, 0.006896639823913574, 0.006838272094726563, 0.0068690237998962405, 0.006818784236907959, 0.006925343990325928, 0.006814688205718994, 0.006924287796020508, 0.006721536159515381, 0.006793216228485107, 0.006865920066833496, 0.006818880081176757, 0.0068269438743591305, 0.0068884482383728025, 0.007058432102203369, 0.008130559921264649, 0.007341055870056152, 0.007233535766601563, 0.00708403205871582, 0.00703385591506958, 0.0070256638526916505, 0.006979584217071533, 0.01458892822265625, 0.006846464157104492, 0.006864895820617676, 0.006960127830505371, 0.006848512172698974, 0.00684441614151001, 0.006829055786132812, 0.006831103801727295, 0.006892543792724609, 0.0068618240356445315, 0.006882304191589355, 0.006905856132507324, 0.006882304191589355, 0.006827040195465088, 0.006789087772369385, 0.006854656219482422, 0.0068249602317810056, 0.0068280320167541505, 0.006865920066833496, 0.006848512172698974, 0.006830080032348633, 0.00687820816040039, 0.0069253120422363285, 0.006853631973266602, 0.006829055786132812, 0.00682700777053833, 0.006895616054534912, 0.006739967823028564, 0.006937600135803222, 0.006820864200592041, 0.006876160144805908, 0.006912000179290771, 0.006804512023925781, 0.006790143966674805, 0.00677785587310791, 0.00704099178314209, 0.007131135940551757, 0.007195648193359375, 0.00703385591506958, 0.007274496078491211, 0.007260159969329834, 0.007279615879058838, 0.007324672222137451, 0.006994944095611572, 0.006920191764831543, 0.006999040126800537, 0.007361536026000977, 0.0070553598403930665, 0.007038976192474365, 0.006946815967559815, 0.007103487968444824, 0.006858751773834228, 0.006846464157104492, 0.006766592025756836, 0.0068689918518066405, 0.006909952163696289, 0.006982656002044678, 0.006907904148101806, 0.006811647891998291, 0.00682700777053833, 0.0067870721817016606, 0.006804480075836182, 0.006803455829620361, 0.014484479904174804, 0.00684441614151001, 0.0068618240356445315, 0.006823935985565186, 0.006817791938781738, 0.0067573761940002445, 0.0068076162338256835, 0.00683513593673706, 0.00682700777053833, 0.006851583957672119, 0.0067758078575134275, 0.0068351998329162595, 0.0068392958641052244, 0.0068618240356445315, 0.006919167995452881, 0.006856704235076904, 0.006812672138214112, 0.0068055038452148435, 0.006791168212890625, 0.006724607944488525, 0.006815743923187256, 0.00690176010131836, 0.006831103801727295, 0.006850560188293457, 0.0068392958641052244, 0.006795263767242431, 0.0067338237762451176, 0.006799359798431396, 0.006945792198181152, 0.006814720153808594, 0.0068853759765625, 0.006910975933074951, 0.006845471858978272, 0.006775775909423828, 0.006874112129211426, 0.006841343879699707, 0.0068689918518066405, 0.00678604793548584, 0.006905856132507324, 0.006766592025756836, 0.006804480075836182, 0.006808576107025147, 0.006880256175994873, 0.006937600135803222, 0.006846464157104492, 0.006829055786132812, 0.006797311782836914, 0.006800384044647217, 0.0068986878395080565, 0.006799359798431396, 0.006816768169403077, 0.006882304191589355, 0.00695091199874878, 0.006711296081542969, 0.00687718391418457, 0.006760447978973389, 0.006851583957672119, 0.006994944095611572, 0.007008255958557129, 0.007278592109680176, 0.007364607810974121, 0.007021567821502686, 0.007110655784606934, 0.014486528396606446, 0.0067983360290527345, 0.0067758078575134275, 0.006808576107025147, 0.006819839954376221, 0.006845439910888672, 0.006817791938781738, 0.006862847805023193, 0.006850560188293457, 0.006914048194885254, 0.006873087882995605, 0.006830080032348633, 0.006825984001159668, 0.006924287796020508, 0.0068055038452148435, 0.006867968082427979, 0.0068986878395080565, 0.006773759841918945, 0.006887423992156983, 0.006834176063537598, 0.006807551860809326, 0.006825984001159668, 0.006724607944488525, 0.006808576107025147, 0.006781951904296875, 0.006873087882995605, 0.006897664070129395, 0.006820864200592041, 0.006953983783721924, 0.006814720153808594, 0.0068055038452148435, 0.006864895820617676, 0.007054336071014404, 0.007000063896179199, 0.006851583957672119, 0.00693452787399292, 0.006875135898590088, 0.006767615795135498, 0.006912000179290771, 0.006930431842803955, 0.007072768211364746, 0.007323647975921631, 0.007137343883514404, 0.007246784210205078, 0.007519231796264648, 0.007401472091674805, 0.007305215835571289, 0.007124991893768311, 0.007411712169647216, 0.007051263809204102, 0.00744652795791626, 0.007027711868286133, 0.007122943878173828, 0.006968319892883301, 0.007057407855987549, 0.006961152076721191, 0.007019519805908203, 0.006977536201477051, 0.007052351951599121, 0.00700819206237793, 0.006982656002044678, 0.007037951946258545, 0.007131135940551757, 0.014568448066711426, 0.00683622407913208, 0.006825984001159668, 0.00679423999786377, 0.006896639823913574, 0.006814720153808594, 0.00689356803894043, 0.006833151817321777, 0.006890495777130127, 0.0068577280044555666, 0.006875135898590088, 0.006852608203887939, 0.00677785587310791, 0.006897664070129395, 0.006802432060241699, 0.006900735855102539, 0.006795263767242431, 0.006851583957672119, 0.006871039867401123, 0.0067758078575134275, 0.0068249602317810056, 0.006874112129211426, 0.0068280320167541505, 0.006838272094726563, 0.0067123198509216305, 0.006875135898590088, 0.006866943836212158, 0.006851615905761718, 0.006802400112152099, 0.0067983360290527345, 0.006980607986450196, 0.0067338237762451176, 0.006904831886291504, 0.006790143966674805, 0.006918144226074219, 0.006833151817321777, 0.006924287796020508, 0.007085055828094483, 0.007234560012817383, 0.007293951988220215, 0.006968319892883301, 0.0069202561378479, 0.007036863803863525, 0.007241727828979493, 0.00728166389465332, 0.007208960056304932, 0.00697657585144043, 0.00704095983505249, 0.006946815967559815, 0.00724889612197876, 0.007309311866760254, 0.007264256000518799, 0.007353343963623047, 0.006953983783721924, 0.007078911781311035, 0.00727347183227539, 0.007308288097381592, 0.007346176147460938, 0.007018496036529541, 0.007307263851165771, 0.007106560230255127, 0.007044095993041993, 0.007268352031707764, 0.0158341121673584, 0.0071833600997924804, 0.007159808158874512, 0.007171072006225586, 0.007048192024230957, 0.007072768211364746, 0.007048192024230957, 0.007138304233551026, 0.007122943878173828, 0.007095295906066895, 0.007088128089904785, 0.007096320152282715, 0.007090176105499267, 0.0070553598403930665, 0.006953983783721924, 0.007385087966918945, 0.007057407855987549, 0.0069928960800170895, 0.0069621758460998535, 0.006957056045532227, 0.0069632000923156735, 0.0069632000923156735, 0.006944767951965332, 0.006987775802612305, 0.006967296123504638, 0.0069959678649902345, 0.006947840213775635, 0.006946815967559815, 0.006946815967559815, 0.006977536201477051, 0.006964223861694336, 0.007103487968444824, 0.006945792198181152, 0.007001088142395019, 0.006977536201477051, 0.0069847040176391605, 0.006988800048828125, 0.006998015880584717, 0.006968319892883301, 0.006985727787017822, 0.006965248107910156, 0.0070266880989074704, 0.0069959678649902345, 0.006982656002044678, 0.007024640083312988, 0.007001088142395019, 0.006975488185882568, 0.006843391895294189, 0.006909952163696289, 0.006802495956420899, 0.00689247989654541, 0.006854688167572022, 0.0068873920440673825, 0.006812672138214112, 0.006874112129211426, 0.006903808116912841, 0.006825984001159668, 0.006889472007751465, 0.0068618240356445315, 0.006879231929779053, 0.006908927917480469, 0.006876160144805908, 0.006922239780426025, 0.014621696472167968, 0.006899712085723877, 0.00693555212020874, 0.006847519874572754, 0.006882271766662598, 0.00687820816040039, 0.006944767951965332, 0.006766592025756836, 0.006940671920776367, 0.006897664070129395, 0.006865920066833496, 0.006841407775878906, 0.006919104099273682, 0.00689356803894043, 0.006847487926483154, 0.006870016098022461, 0.00690176010131836, 0.006906879901885986, 0.006912000179290771, 0.006965248107910156, 0.006863872051239014, 0.006830080032348633, 0.006730751991271973, 0.00690176010131836, 0.006927360057830811, 0.006810624122619629, 0.007012351989746094, 0.00689356803894043, 0.00691919994354248, 0.006855648040771484, 0.006883327960968018, 0.0069253120422363285, 0.006875135898590088, 0.006892543792724609, 0.006822912216186523, 0.006840320110321045, 0.006876160144805908, 0.006833151817321777, 0.006819839954376221, 0.006812672138214112, 0.006814720153808594, 0.006903808116912841, 0.006895616054534912, 0.0068321280479431154, 0.006881279945373535, 0.006841343879699707, 0.006731776237487793, 0.006875135898590088, 0.0069918718338012695, 0.006924287796020508, 0.0068351998329162595, 0.006939648151397705, 0.00687718391418457, 0.006896639823913574, 0.006813695907592773, 0.006858751773834228, 0.006916096210479736, 0.0068884482383728025, 0.0069027838706970214, 0.006879231929779053, 0.00689356803894043, 0.006807551860809326, 0.006790143966674805, 0.0144650239944458, 0.006765567779541016, 0.006876160144805908, 0.00690176010131836, 0.006822912216186523, 0.006920191764831543, 0.006781951904296875, 0.006908927917480469, 0.006758399963378906, 0.0068884482383728025, 0.006837247848510742, 0.006825984001159668, 0.006895616054534912, 0.006811647891998291, 0.006904831886291504, 0.006757440090179444, 0.006893504142761231, 0.006813695907592773, 0.006830080032348633, 0.006797311782836914, 0.0068853759765625, 0.00674508810043335, 0.00678604793548584, 0.006873087882995605, 0.006900735855102539, 0.006816768169403077, 0.006854656219482422, 0.00682700777053833, 0.006744063854217529, 0.006923264026641846, 0.006816768169403077, 0.006825984001159668, 0.006808576107025147, 0.006788095951080322, 0.006864895820617676, 0.0067983360290527345, 0.007007232189178467, 0.006815743923187256, 0.006808576107025147, 0.006830080032348633, 0.006899712085723877, 0.006894591808319092, 0.006729728221893311, 0.006913023948669434, 0.006912000179290771, 0.007111680030822754, 0.006854656219482422, 0.006816768169403077, 0.006829055786132812, 0.006802432060241699, 0.0068986878395080565, 0.006889472007751465, 0.0068392958641052244, 0.0067358717918396, 0.006773759841918945, 0.006892543792724609, 0.0067686400413513184, 0.006929408073425293, 0.006807551860809326, 0.006790143966674805, 0.006814720153808594, 0.006875135898590088, 0.006815743923187256, 0.014535679817199706, 0.006904863834381104, 0.006907872200012207, 0.006808576107025147, 0.006803455829620361, 0.006793216228485107, 0.00690176010131836, 0.006812672138214112, 0.006782976150512696, 0.006817791938781738, 0.006718463897705078, 0.006838304042816162, 0.006800352096557617, 0.006853631973266602, 0.006856704235076904, 0.006875135898590088, 0.006808576107025147, 0.006815743923187256, 0.006871039867401123, 0.006882304191589355, 0.0067123198509216305, 0.00693555212020874, 0.0069928960800170895, 0.0067983360290527345, 0.006738944053649902, 0.006795263767242431, 0.006780928134918213, 0.0068915200233459475, 0.006890495777130127, 0.006781951904296875, 0.006867968082427979, 0.00683622407913208, 0.006870016098022461, 0.0068055038452148435, 0.006714367866516113, 0.006806528091430664, 0.006781951904296875, 0.006781951904296875, 0.006825984001159668, 0.006850560188293457, 0.006818816184997558, 0.006812672138214112, 0.006882368087768554, 0.006911935806274414, 0.006807551860809326, 0.00689356803894043, 0.006797311782836914, 0.006874176025390625, 0.00681056022644043, 0.006914048194885254, 0.006818816184997558, 0.006825984001159668, 0.00682700777053833, 0.006793216228485107, 0.006847487926483154, 0.0068351998329162595, 0.0068055038452148435, 0.006850560188293457, 0.006801407814025879, 0.006872064113616944, 0.0068986878395080565, 0.0068689918518066405, 0.006813695907592773, 0.014460927963256836, 0.006829055786132812, 0.006843391895294189, 0.00684441614151001, 0.006938623905181885, 0.006749184131622315, 0.0068392958641052244, 0.00688640022277832, 0.006897664070129395, 0.00684441614151001, 0.006819839954376221, 0.0068280320167541505, 0.006834176063537598, 0.006892543792724609, 0.00687718391418457, 0.006845439910888672, 0.0069632000923156735, 0.006806528091430664, 0.0068915200233459475, 0.0069283838272094726, 0.00688640022277832, 0.006917119979858399, 0.006831103801727295, 0.006825984001159668, 0.0069918718338012695, 0.007312384128570557, 0.007332863807678222, 0.007145503997802735, 0.0069437122344970705, 0.00729702377319336, 0.00725708818435669, 0.006986752033233643, 0.007379968166351319, 0.0073359360694885255, 0.007027711868286133, 0.007037951946258545, 0.007255040168762207, 0.007329792022705078, 0.006730751991271973, 0.007303167819976806, 0.007400447845458984, 0.006849535942077637, 0.006818816184997558, 0.0067983360290527345, 0.006873087882995605, 0.006714367866516113, 0.006894591808319092, 0.0069027838706970214, 0.006818816184997558, 0.006830080032348633, 0.006841343879699707, 0.006900735855102539, 0.0067348480224609375, 0.006866943836212158, 0.006940671920776367, 0.00672870397567749, 0.006923264026641846, 0.0068055038452148435, 0.006945856094360351, 0.00685152006149292, 0.006808576107025147, 0.006906879901885986, 0.0068280320167541505]",tokens/s,140.10129046771218,,,,,,,, -4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -18162,7 +18162,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -19030,7 +19030,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -19566,7 +19566,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -19641,7 +19641,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -20097,7 +20097,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -20312,7 +20312,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -21049,7 +21049,7 @@ ValueError: The repository for tiiuae/falcon-7b contains custom code which must Please pass the argument `trust_remote_code=True` to allow custom code to be run. ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -21555,7 +21555,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -22240,7 +22240,7 @@ NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,MB,1224.593408,1005.060096,0.0,358.612992,318.913024,s,23,0.170830846786499,0.007427428121152131,0.00024413026802978468,0.007357215881347657,0.0075946943283081055,0.007852940797805786,0.008269951295852663,"[0.008380415916442872, 0.00787830400466919, 0.007307871818542481, 0.007413631916046143, 0.007416895866394043, 0.0072780799865722655, 0.007253759860992431, 0.007340799808502197, 0.00735097599029541, 0.0072897601127624514, 0.007357215881347657, 0.007351200103759766, 0.007452095985412598, 0.007375872135162354, 0.007336959838867187, 0.007404831886291504, 0.007378367900848388, 0.007350815773010254, 0.007241919994354248, 0.007624671936035156, 0.007474783897399902, 0.00736736011505127, 0.007204256057739258]",tokens/s,34466.843141968995,kWh,8.354114192041346e-08,4.5776604383460934e-08,1.7923360244695143e-07,3.0855134875082585e-07,tokens/kWh,829683620.0406166,MB,1224.593408,1005.060096,0.0,358.612992,328.804864,s,23,10.12951983642578,0.44041390593155577,0.009542742855595688,0.4373620910644531,0.4437781982421875,0.45109108581542967,0.474916849975586,"[0.4814091796875, 0.45189859008789063, 0.4373620910644531, 0.43599356079101564, 0.4377264404296875, 0.4396331787109375, 0.4402783508300781, 0.43823895263671875, 0.43630859375, 0.4375812683105469, 0.43703091430664065, 0.43696951293945313, 0.4364114990234375, 0.43596710205078126, 0.43623919677734374, 0.43678070068359376, 0.43731332397460937, 0.43723104858398437, 0.4438235473632812, 0.44186441040039065, 0.4435968017578125, 0.4382613220214844, 0.4316002502441406]",tokens/s,143.04725430216266,kWh,5.045933914928732e-06,2.7649476769741185e-06,8.713782771215293e-06,1.6524664363118138e-05,tokens/kWh,3812482.8810811713,,s,1448,10.284382205963144,0.007102473899145811,0.0009630348618537469,0.006931456089019775,0.00721827836036682,0.007574528217315674,0.014597724084854125,"[0.007964672088623047, 0.00796569585800171, 0.007897088050842285, 0.00785203218460083, 0.007930880069732665, 0.007737343788146973, 0.007622655868530274, 0.00760422420501709, 0.007505919933319092, 0.0074967041015625, 0.0075335679054260255, 0.007648255825042725, 0.007678976058959961, 0.007658495903015137, 0.007508992195129394, 0.007552000045776367, 0.007705599784851074, 0.00764415979385376, 0.007676928043365478, 0.007573503971099854, 0.007642111778259277, 0.007664639949798584, 0.00765337610244751, 0.0074629120826721195, 0.007479296207427978, 0.007540736198425293, 0.007504896163940429, 0.007546879768371582, 0.007592959880828858, 0.007724031925201416, 0.007574528217315674, 0.007631872177124023, 0.007477248191833496, 0.007482367992401123, 0.007755775928497314, 0.0074967041015625, 0.007511040210723877, 0.007269375801086426, 0.007320576190948487, 0.007468031883239746, 0.007742464065551758, 0.00800051212310791, 0.007601151943206787, 0.007601151943206787, 0.008147968292236327, 0.008087552070617676, 0.007609344005584716, 0.007886847972869874, 0.007772160053253174, 0.007862271785736084, 0.0077844481468200685, 0.00765235185623169, 0.007622655868530274, 0.007872511863708496, 0.007607295989990235, 0.007804927825927735, 0.007388160228729248, 0.007648255825042725, 0.007409664154052734, 0.007129087924957276, 0.007120895862579346, 0.007165952205657959, 0.01587097644805908, 0.007638016223907471, 0.007574528217315674, 0.007745535850524903, 0.007613440036773681, 0.007448575973510742, 0.00725708818435669, 0.00749567985534668, 0.007291903972625732, 0.007451648235321045, 0.007557119846343994, 0.007046144008636474, 0.007103487968444824, 0.006964223861694336, 0.007108607769012451, 0.007080959796905518, 0.007032832145690918, 0.006998047828674316, 0.007235551834106445, 0.006897664070129395, 0.007023615837097168, 0.007216127872467041, 0.007019552230834961, 0.006999008178710938, 0.007031807899475098, 0.007042079925537109, 0.006928351879119873, 0.007155712127685547, 0.006977536201477051, 0.007123968124389648, 0.006990848064422607, 0.007591936111450195, 0.007071743965148926, 0.006994944095611572, 0.006910975933074951, 0.0069928960800170895, 0.007258111953735351, 0.006973440170288086, 0.007234591960906983, 0.0069836478233337405, 0.007014400005340577, 0.006899712085723877, 0.007013376235961914, 0.007256063938140869, 0.006994944095611572, 0.007252992153167725, 0.007035903930664063, 0.007158783912658692, 0.006909952163696289, 0.006960127830505371, 0.0070594558715820314, 0.007104512214660645, 0.006937600135803222, 0.0069632000923156735, 0.0069324798583984375, 0.007048192024230957, 0.00692633581161499, 0.00800153636932373, 0.007895040035247802, 0.007285759925842285, 0.007116799831390381, 0.00709119987487793, 0.007049215793609619, 0.01459609603881836, 0.00693555212020874, 0.006933504104614257, 0.006979584217071533, 0.006875135898590088, 0.00694271993637085, 0.006948863983154297, 0.006976511955261231, 0.006959104061126709, 0.0069283838272094726, 0.00693452787399292, 0.006937600135803222, 0.006903808116912841, 0.006919167995452881, 0.0069283838272094726, 0.006905856132507324, 0.007003136157989502, 0.007137279987335205, 0.006895616054534912, 0.006892543792724609, 0.0068986878395080565, 0.006917119979858399, 0.00692633581161499, 0.006939648151397705, 0.00692633581161499, 0.006933504104614257, 0.00690176010131836, 0.006895616054534912, 0.006918144226074219, 0.00692633581161499, 0.0068986878395080565, 0.006986752033233643, 0.006941696166992187, 0.00695091199874878, 0.0068853759765625, 0.0069324798583984375, 0.006906879901885986, 0.006952960014343262, 0.006914048194885254, 0.00693555212020874, 0.00689356803894043, 0.006964223861694336, 0.006908927917480469, 0.006937600135803222, 0.00693555212020874, 0.007006207942962647, 0.006982656002044678, 0.007010303974151612, 0.006971392154693603, 0.006910975933074951, 0.006913023948669434, 0.006918144226074219, 0.006919167995452881, 0.006913023948669434, 0.006947840213775635, 0.006929408073425293, 0.006910975933074951, 0.0069027838706970214, 0.006880256175994873, 0.006883327960968018, 0.0069283838272094726, 0.007147520065307617, 0.006989823818206787, 0.014668800354003907, 0.006913023948669434, 0.00693452787399292, 0.006882304191589355, 0.00694374418258667, 0.006876160144805908, 0.006906879901885986, 0.006904831886291504, 0.0068884482383728025, 0.006895616054534912, 0.006920191764831543, 0.006875135898590088, 0.006978559970855713, 0.006938623905181885, 0.006918144226074219, 0.007023615837097168, 0.006938623905181885, 0.006894591808319092, 0.006882304191589355, 0.006928415775299073, 0.006888415813446045, 0.006894591808319092, 0.006958079814910889, 0.006945792198181152, 0.006919167995452881, 0.006920191764831543, 0.006819839954376221, 0.006814720153808594, 0.006752255916595459, 0.006714367866516113, 0.006791168212890625, 0.00672870397567749, 0.0067870721817016606, 0.006815743923187256, 0.006841343879699707, 0.006661119937896728, 0.00682700777053833, 0.0067348480224609375, 0.006766592025756836, 0.0067870721817016606, 0.006717440128326416, 0.006973440170288086, 0.007019519805908203, 0.006986752033233643, 0.007194623947143554, 0.006993919849395752, 0.0069632000923156735, 0.006990848064422607, 0.007023615837097168, 0.006989823818206787, 0.006961152076721191, 0.007007232189178467, 0.006951935768127441, 0.007015423774719238, 0.006973440170288086, 0.006993919849395752, 0.006976511955261231, 0.0072765440940856935, 0.006922239780426025, 0.007046144008636474, 0.006909952163696289, 0.007103487968444824, 0.006964223861694336, 0.014816287994384766, 0.0069242558479309085, 0.007008255958557129, 0.006899712085723877, 0.006957056045532227, 0.006952960014343262, 0.006903808116912841, 0.007002111911773682, 0.007018496036529541, 0.0069847040176391605, 0.007208960056304932, 0.006906879901885986, 0.007000127792358399, 0.006973375797271728, 0.006986783981323242, 0.007034848213195801, 0.006924287796020508, 0.006998015880584717, 0.006948863983154297, 0.00688640022277832, 0.00694374418258667, 0.006968319892883301, 0.006874112129211426, 0.006914048194885254, 0.00687718391418457, 0.006922239780426025, 0.00687820816040039, 0.0068986878395080565, 0.006887423992156983, 0.006941696166992187, 0.006927360057830811, 0.006922239780426025, 0.006933504104614257, 0.006924287796020508, 0.006929408073425293, 0.00690176010131836, 0.006960127830505371, 0.006919167995452881, 0.006922239780426025, 0.006909952163696289, 0.006914048194885254, 0.006906879901885986, 0.00694374418258667, 0.006897664070129395, 0.007015423774719238, 0.006918144226074219, 0.006923264026641846, 0.006927360057830811, 0.00693555212020874, 0.006977536201477051, 0.006917119979858399, 0.006937600135803222, 0.0069212160110473635, 0.00692633581161499, 0.006949888229370117, 0.006940671920776367, 0.006956031799316406, 0.006988800048828125, 0.0069283838272094726, 0.006905856132507324, 0.006929408073425293, 0.006905888080596924, 0.006922207832336426, 0.014533632278442383, 0.006973440170288086, 0.006919167995452881, 0.006920191764831543, 0.006881279945373535, 0.006919167995452881, 0.006936575889587402, 0.006895616054534912, 0.006916096210479736, 0.006924287796020508, 0.006922239780426025, 0.006907904148101806, 0.006941696166992187, 0.006944767951965332, 0.007005184173583984, 0.006919167995452881, 0.00692633581161499, 0.00687820816040039, 0.0069324798583984375, 0.006889472007751465, 0.006889472007751465, 0.007050240039825439, 0.00713318395614624, 0.007243775844573975, 0.007284736156463623, 0.0071905279159545895, 0.007258111953735351, 0.007041024208068848, 0.006989823818206787, 0.007035903930664063, 0.007030784130096435, 0.0069918718338012695, 0.006993919849395752, 0.006941696166992187, 0.0069253120422363285, 0.006946815967559815, 0.006966271877288818, 0.006931456089019775, 0.007050240039825439, 0.006999040126800537, 0.006977536201477051, 0.006973440170288086, 0.006953983783721924, 0.006923264026641846, 0.006951935768127441, 0.006907904148101806, 0.007014431953430176, 0.006917088031768799, 0.006968319892883301, 0.006927360057830811, 0.006930431842803955, 0.00694271993637085, 0.006913023948669434, 0.007008255958557129, 0.006936575889587402, 0.00692633581161499, 0.006958079814910889, 0.007015423774719238, 0.006990848064422607, 0.006922239780426025, 0.00692633581161499, 0.00693452787399292, 0.007012351989746094, 0.014345215797424317, 0.00676966381072998, 0.006661119937896728, 0.0067717118263244626, 0.006789120197296142, 0.006773759841918945, 0.00672051191329956, 0.006830080032348633, 0.006714367866516113, 0.006793216228485107, 0.006797311782836914, 0.00676358413696289, 0.0067491202354431155, 0.006756351947784424, 0.006776832103729248, 0.006715392112731934, 0.006752255916595459, 0.007037951946258545, 0.0069959678649902345, 0.006970367908477783, 0.00693555212020874, 0.006985727787017822, 0.0073062400817871095, 0.006953983783721924, 0.00690176010131836, 0.007269375801086426, 0.006917119979858399, 0.006968319892883301, 0.007024640083312988, 0.007193600177764893, 0.007230463981628418, 0.006991936206817627, 0.007226304054260254, 0.006900735855102539, 0.007223296165466309, 0.0069970240592956544, 0.006896607875823975, 0.007322624206542969, 0.007062528133392334, 0.006974463939666748, 0.00688640022277832, 0.007178239822387696, 0.0069621758460998535, 0.007023615837097168, 0.0069212160110473635, 0.007299071788787842, 0.0071833600997924804, 0.007261184215545655, 0.007209983825683594, 0.007198719978332519, 0.007049215793609619, 0.0069959678649902345, 0.007003136157989502, 0.007105535984039306, 0.007074816226959229, 0.006998015880584717, 0.0069918718338012695, 0.00690176010131836, 0.006965248107910156, 0.007762944221496582, 0.006952960014343262, 0.006976511955261231, 0.0069202561378479, 0.01471072006225586, 0.0072724480628967286, 0.006916096210479736, 0.006939648151397705, 0.006899712085723877, 0.007030784130096435, 0.006989823818206787, 0.006977536201477051, 0.007060480117797851, 0.0072120318412780765, 0.006953983783721924, 0.006909952163696289, 0.006884352207183838, 0.006938623905181885, 0.006926400184631348, 0.00695084810256958, 0.006960127830505371, 0.006939648151397705, 0.0068853759765625, 0.006904831886291504, 0.006896639823913574, 0.006917119979858399, 0.006908959865570068, 0.006914015769958496, 0.006940671920776367, 0.006941696166992187, 0.006894591808319092, 0.006892543792724609, 0.007236608028411865, 0.007029759883880615, 0.006912000179290771, 0.006895679950714112, 0.006928319931030273, 0.006906879901885986, 0.006958079814910889, 0.006897664070129395, 0.006916096210479736, 0.006875167846679688, 0.006910943984985351, 0.00690176010131836, 0.00689356803894043, 0.0069027838706970214, 0.007012351989746094, 0.006970367908477783, 0.006946879863739014, 0.006910912036895752, 0.006938623905181885, 0.006899712085723877, 0.0069028158187866215, 0.006964191913604736, 0.006917119979858399, 0.006930431842803955, 0.006939648151397705, 0.0070594558715820314, 0.006999040126800537, 0.006949888229370117, 0.00695091199874878, 0.007007232189178467, 0.006937600135803222, 0.006905856132507324, 0.006920191764831543, 0.006880256175994873, 0.00692633581161499, 0.014599167823791503, 0.0069253120422363285, 0.006918144226074219, 0.006918144226074219, 0.006866943836212158, 0.006870016098022461, 0.00694374418258667, 0.0069816322326660156, 0.006914048194885254, 0.006931456089019775, 0.006946815967559815, 0.006905856132507324, 0.006940671920776367, 0.006916096210479736, 0.007143424034118652, 0.006927360057830811, 0.006937600135803222, 0.006957056045532227, 0.006896639823913574, 0.006907904148101806, 0.006887423992156983, 0.006913023948669434, 0.006900735855102539, 0.006895616054534912, 0.006890495777130127, 0.0068915200233459475, 0.006884352207183838, 0.0069324798583984375, 0.006916096210479736, 0.006897664070129395, 0.006910975933074951, 0.006903808116912841, 0.00693452787399292, 0.007013376235961914, 0.00692633581161499, 0.006889472007751465, 0.006912000179290771, 0.0068986878395080565, 0.006977536201477051, 0.006904895782470703, 0.006909887790679931, 0.006899712085723877, 0.006912000179290771, 0.006887423992156983, 0.006910975933074951, 0.006879231929779053, 0.006884352207183838, 0.0068915200233459475, 0.006903808116912841, 0.006946815967559815, 0.006875135898590088, 0.006924287796020508, 0.006918144226074219, 0.006905856132507324, 0.006973440170288086, 0.006930431842803955, 0.006915071964263916, 0.00691206407546997, 0.007011263847351074, 0.0069212160110473635, 0.006913023948669434, 0.006920191764831543, 0.006917119979858399, 0.014561280250549317, 0.006904831886291504, 0.0069283838272094726, 0.006930431842803955, 0.006904831886291504, 0.006907904148101806, 0.006908927917480469, 0.006931456089019775, 0.0069283838272094726, 0.006903808116912841, 0.006924287796020508, 0.006895616054534912, 0.006883327960968018, 0.007070720195770264, 0.006931456089019775, 0.006934559822082519, 0.006951903820037842, 0.007005184173583984, 0.0070225920677185055, 0.006919167995452881, 0.006883327960968018, 0.006973440170288086, 0.006927360057830811, 0.006957056045532227, 0.006895616054534912, 0.006903808116912841, 0.007022624015808106, 0.007080927848815918, 0.006919167995452881, 0.006929408073425293, 0.006917119979858399, 0.006916096210479736, 0.006899712085723877, 0.006899712085723877, 0.006895616054534912, 0.006917119979858399, 0.006946815967559815, 0.006915071964263916, 0.006927360057830811, 0.006884352207183838, 0.006908927917480469, 0.00687820816040039, 0.006930431842803955, 0.006919167995452881, 0.006918144226074219, 0.007233535766601563, 0.007015423774719238, 0.006924287796020508, 0.006957056045532227, 0.0069253120422363285, 0.006894591808319092, 0.006938623905181885, 0.006927360057830811, 0.006912000179290771, 0.006912000179290771, 0.006947840213775635, 0.007037951946258545, 0.006979584217071533, 0.006904831886291504, 0.006974463939666748, 0.006968319892883301, 0.006972415924072266, 0.006949888229370117, 0.014623744010925293, 0.006917119979858399, 0.006960127830505371, 0.006922239780426025, 0.0069283838272094726, 0.00698367977142334, 0.0068986878395080565, 0.006946815967559815, 0.006912000179290771, 0.0069027838706970214, 0.00688640022277832, 0.0069324798583984375, 0.006915071964263916, 0.00689356803894043, 0.006929408073425293, 0.006899712085723877, 0.006931456089019775, 0.006884352207183838, 0.006897664070129395, 0.006930431842803955, 0.006949888229370117, 0.006898752212524414, 0.006896575927734375, 0.006960127830505371, 0.006882304191589355, 0.006930431842803955, 0.006897664070129395, 0.006989823818206787, 0.006908927917480469, 0.006970367908477783, 0.007172095775604248, 0.007028736114501953, 0.006956031799316406, 0.00694374418258667, 0.006889472007751465, 0.0068915200233459475, 0.006998015880584717, 0.006939648151397705, 0.0069283838272094726, 0.006924352169036865, 0.006933440208435058, 0.0069253120422363285, 0.006907904148101806, 0.007010303974151612, 0.006948863983154297, 0.006965248107910156, 0.0069324798583984375, 0.006885407924652099, 0.006927328109741211, 0.006943808078765869, 0.006981567859649658, 0.006958079814910889, 0.006923295974731445, 0.006906847953796386, 0.00693452787399292, 0.0068986878395080565, 0.006922239780426025, 0.006908927917480469, 0.006931456089019775, 0.006900735855102539, 0.006931456089019775, 0.006889472007751465, 0.006872096061706543, 0.01465238380432129, 0.006907904148101806, 0.006927360057830811, 0.006946815967559815, 0.006900735855102539, 0.006948863983154297, 0.006927360057830811, 0.006892543792724609, 0.006960127830505371, 0.006889503955841064, 0.00689353609085083, 0.0069621758460998535, 0.006900735855102539, 0.006875135898590088, 0.006910975933074951, 0.006908927917480469, 0.006912000179290771, 0.006855679988861084, 0.006907904148101806, 0.007006207942962647, 0.006874112129211426, 0.006908927917480469, 0.006940671920776367, 0.006881279945373535, 0.00693452787399292, 0.0068986878395080565, 0.006946815967559815, 0.006880256175994873, 0.00688640022277832, 0.006918144226074219, 0.0069283838272094726, 0.0068915200233459475, 0.00698367977142334, 0.0069283838272094726, 0.006909952163696289, 0.007021567821502686, 0.006881279945373535, 0.0070522880554199216, 0.0069324798583984375, 0.00693555212020874, 0.006896639823913574, 0.006949920177459717, 0.006969312191009522, 0.006952960014343262, 0.006909952163696289, 0.006976511955261231, 0.0068853759765625, 0.006871039867401123, 0.006940671920776367, 0.006964223861694336, 0.006941696166992187, 0.006859776020050049, 0.006858751773834228, 0.006897664070129395, 0.00692633581161499, 0.006903808116912841, 0.006887423992156983, 0.006958079814910889, 0.006865920066833496, 0.006944767951965332, 0.007127039909362793, 0.00709119987487793, 0.007139328002929687, 0.014806015968322754, 0.006964223861694336, 0.00694271993637085, 0.006897664070129395, 0.00694271993637085, 0.006931456089019775, 0.0069110398292541505, 0.006891456127166748, 0.006899712085723877, 0.006905856132507324, 0.0069027838706970214, 0.006922239780426025, 0.006948863983154297, 0.00690176010131836, 0.006965248107910156, 0.00694271993637085, 0.006922304153442383, 0.006911935806274414, 0.006879231929779053, 0.007000063896179199, 0.007001088142395019, 0.006974463939666748, 0.006907904148101806, 0.006933504104614257, 0.00693452787399292, 0.006912000179290771, 0.006887423992156983, 0.00692633581161499, 0.006903808116912841, 0.006927360057830811, 0.006933504104614257, 0.006930431842803955, 0.006933504104614257, 0.0069253120422363285, 0.006906879901885986, 0.00693452787399292, 0.007009280204772949, 0.0068915200233459475, 0.006912000179290771, 0.006920191764831543, 0.006969344139099121, 0.006940671920776367, 0.006894591808319092, 0.006872064113616944, 0.006859776020050049, 0.0069253120422363285, 0.006975488185882568, 0.007011328220367432, 0.006889472007751465, 0.006876160144805908, 0.00688643217086792, 0.006930399894714356, 0.006944767951965332, 0.006916096210479736, 0.006895616054534912, 0.006900735855102539, 0.006912000179290771, 0.0068986878395080565, 0.006919167995452881, 0.00687718391418457, 0.006874112129211426, 0.0068915200233459475, 0.006866943836212158, 0.014652416229248047, 0.0069212160110473635, 0.006944767951965332, 0.00687718391418457, 0.0069642882347106935, 0.006937535762786865, 0.006914048194885254, 0.0069212160110473635, 0.006927360057830811, 0.0069253120422363285, 0.006930431842803955, 0.006933504104614257, 0.006915103912353515, 0.0069283838272094726, 0.006927328109741211, 0.006971392154693603, 0.006904831886291504, 0.006937600135803222, 0.006914048194885254, 0.006896639823913574, 0.00689356803894043, 0.006919167995452881, 0.006933504104614257, 0.006907904148101806, 0.0068689918518066405, 0.006903808116912841, 0.007013376235961914, 0.006936575889587402, 0.006941696166992187, 0.006883359909057617, 0.006904799938201905, 0.00687718391418457, 0.00688643217086792, 0.006876128196716309, 0.006919167995452881, 0.006908927917480469, 0.0068925762176513675, 0.0069201598167419436, 0.006894591808319092, 0.0068689918518066405, 0.006906879901885986, 0.006959104061126709, 0.006904831886291504, 0.006931488037109375, 0.0068873920440673825, 0.006906879901885986, 0.006896671772003174, 0.006886367797851563, 0.006938623905181885, 0.00687820816040039, 0.00687718391418457, 0.006907904148101806, 0.006998015880584717, 0.0069027838706970214, 0.006923264026641846, 0.006890495777130127, 0.0068986878395080565, 0.006960127830505371, 0.0069027838706970214, 0.0069212160110473635, 0.0068884482383728025, 0.006894591808319092, 0.006938623905181885, 0.014593024253845215, 0.006933504104614257, 0.006898719787597657, 0.0069242558479309085, 0.006897664070129395, 0.006896639823913574, 0.0069253120422363285, 0.006961152076721191, 0.006929408073425293, 0.006920191764831543, 0.006914048194885254, 0.0069283838272094726, 0.0068915200233459475, 0.006884352207183838, 0.006931456089019775, 0.006946815967559815, 0.0069027838706970214, 0.006856704235076904, 0.0069253120422363285, 0.0069212160110473635, 0.006968319892883301, 0.006905856132507324, 0.006894591808319092, 0.006916096210479736, 0.006867968082427979, 0.0069324798583984375, 0.006917119979858399, 0.006860799789428711, 0.007000063896179199, 0.007016448020935059, 0.007054336071014404, 0.006895679950714112, 0.006895552158355713, 0.006907904148101806, 0.0069283838272094726, 0.006920191764831543, 0.006859776020050049, 0.007019519805908203, 0.006895616054534912, 0.006855679988861084, 0.006979584217071533, 0.006900735855102539, 0.006946815967559815, 0.006892543792724609, 0.006904831886291504, 0.006873087882995605, 0.006938623905181885, 0.006903808116912841, 0.006917119979858399, 0.006920191764831543, 0.006860799789428711, 0.006915071964263916, 0.006945792198181152, 0.006906879901885986, 0.006913023948669434, 0.0068884482383728025, 0.006949888229370117, 0.006906879901885986, 0.007002111911773682, 0.006951935768127441, 0.006909952163696289, 0.0069027838706970214, 0.006880256175994873, 0.014742527961730957, 0.006971392154693603, 0.006909952163696289, 0.006938623905181885, 0.0068884482383728025, 0.006948863983154297, 0.006922239780426025, 0.006908927917480469, 0.0069283838272094726, 0.006914048194885254, 0.00687820816040039, 0.006920191764831543, 0.0068884482383728025, 0.006875135898590088, 0.006957056045532227, 0.0069212160110473635, 0.00693452787399292, 0.006905856132507324, 0.006978559970855713, 0.006904831886291504, 0.0069253120422363285, 0.006929408073425293, 0.006948863983154297, 0.006897664070129395, 0.006883327960968018, 0.00692633581161499, 0.006916096210479736, 0.006927360057830811, 0.007006207942962647, 0.006929408073425293, 0.0069212160110473635, 0.006900735855102539, 0.0069253120422363285, 0.006931456089019775, 0.006907904148101806, 0.00709939193725586, 0.006915071964263916, 0.00694374418258667, 0.006969344139099121, 0.006910975933074951, 0.006994944095611572, 0.006936575889587402, 0.0069069118499755855, 0.006930399894714356, 0.006910975933074951, 0.0069253120422363285, 0.00690176010131836, 0.00689356803894043, 0.006899712085723877, 0.0068853759765625, 0.006951935768127441, 0.006900735855102539, 0.006927360057830811, 0.006890495777130127, 0.0068915200233459475, 0.0069027838706970214, 0.006995999813079834, 0.006994912147521973, 0.006920191764831543, 0.0069324798583984375, 0.006895616054534912, 0.0069550080299377445, 0.006908927917480469, 0.014665727615356445, 0.006914048194885254, 0.006918144226074219, 0.006918144226074219, 0.006912000179290771, 0.00694374418258667, 0.00690176010131836, 0.006952960014343262, 0.006883327960968018, 0.006876160144805908, 0.006899712085723877, 0.006956031799316406, 0.006949888229370117, 0.006945792198181152, 0.0069253120422363285, 0.006944767951965332, 0.006945792198181152, 0.006855679988861084, 0.006905856132507324, 0.006890495777130127, 0.006905856132507324, 0.0069027838706970214, 0.006953983783721924, 0.006895616054534912, 0.007087103843688965, 0.007011328220367432, 0.006944767951965332, 0.0069253120422363285, 0.007228415966033935, 0.006970367908477783, 0.00694271993637085, 0.006924287796020508, 0.0069959678649902345, 0.007029759883880615, 0.006946815967559815, 0.006916096210479736, 0.0068915200233459475, 0.006931456089019775, 0.0068915200233459475, 0.006907904148101806, 0.006862847805023193, 0.006905856132507324, 0.006903808116912841, 0.006897664070129395, 0.006985727787017822, 0.0068986878395080565, 0.006974463939666748, 0.007048192024230957, 0.006961152076721191, 0.00692633581161499, 0.006879231929779053, 0.0068853759765625, 0.006927360057830811, 0.0069283838272094726, 0.006991936206817627, 0.006887360095977783, 0.006966271877288818, 0.006919167995452881, 0.006979584217071533, 0.006908927917480469, 0.006952960014343262, 0.006882304191589355, 0.006916096210479736, 0.014645248413085938, 0.006903808116912841, 0.0069550080299377445, 0.006904831886291504, 0.006919167995452881, 0.006909952163696289, 0.00693452787399292, 0.006914048194885254, 0.006996992111206054, 0.006957056045532227, 0.006909952163696289, 0.006961152076721191, 0.006930431842803955, 0.00694374418258667, 0.006899712085723877, 0.007104512214660645, 0.006967296123504638, 0.0068915200233459475, 0.006910975933074951, 0.006908927917480469, 0.007009280204772949, 0.006941696166992187, 0.006906879901885986, 0.006910975933074951, 0.006908927917480469, 0.006881279945373535, 0.006944767951965332, 0.0070225920677185055, 0.007060480117797851, 0.006876160144805908, 0.006990848064422607, 0.006943808078765869, 0.006904767990112305, 0.006899712085723877, 0.006931456089019775, 0.006919167995452881, 0.006939648151397705, 0.006909952163696289, 0.0069325118064880375, 0.006895584106445312, 0.006896639823913574, 0.006879231929779053, 0.00690176010131836, 0.006894591808319092, 0.0068884482383728025, 0.006903808116912841, 0.006913087844848633, 0.006928319931030273, 0.006899712085723877, 0.006903840065002441, 0.0069242558479309085, 0.0068915200233459475, 0.006914048194885254, 0.006912000179290771, 0.006933504104614257, 0.006919167995452881, 0.006971392154693603, 0.007261184215545655, 0.006969344139099121, 0.006930431842803955, 0.006971392154693603, 0.006887423992156983, 0.006945792198181152, 0.014636063575744629, 0.007252960205078125, 0.007076863765716553, 0.007001088142395019, 0.006970367908477783, 0.006974463939666748, 0.006895616054534912, 0.0069847040176391605, 0.006874112129211426, 0.0070522880554199216, 0.0069263682365417484, 0.007037919998168945, 0.006966271877288818, 0.007018496036529541, 0.007205887794494629, 0.006953983783721924, 0.0069959678649902345, 0.00704307222366333, 0.00689356803894043, 0.006999040126800537, 0.006931456089019775, 0.0070225920677185055, 0.006976511955261231, 0.00693452787399292, 0.007004159927368164, 0.007181312084197998, 0.006958079814910889, 0.006990848064422607, 0.006975488185882568, 0.006904831886291504, 0.007112703800201416, 0.007269375801086426, 0.0069632000923156735, 0.006927360057830811, 0.00698473596572876, 0.006968287944793701, 0.006958079814910889, 0.007260159969329834, 0.007002111911773682, 0.006919167995452881, 0.006956031799316406, 0.007010303974151612, 0.006985727787017822, 0.007192575931549072, 0.006986752033233643, 0.007312384128570557, 0.007241727828979493, 0.007263232231140137, 0.007411712169647216, 0.007120895862579346, 0.007129087924957276, 0.007027711868286133, 0.007016448020935059, 0.00725708818435669, 0.006986752033233643, 0.007013376235961914, 0.006919167995452881, 0.007062528133392334, 0.007166975975036621, 0.007005184173583984, 0.007010303974151612, 0.007048192024230957, 0.00693452787399292, 0.015050751686096191, 0.006931456089019775, 0.007106560230255127, 0.007230463981628418, 0.007049215793609619, 0.006980607986450196, 0.006979584217071533, 0.0069621758460998535, 0.006921279907226563, 0.007070655822753906, 0.007021567821502686, 0.006990880012512207, 0.0069836478233337405, 0.007192575931549072, 0.007269375801086426, 0.006907904148101806, 0.007000063896179199, 0.006956031799316406, 0.0068915200233459475, 0.006993919849395752, 0.006939648151397705, 0.0068915200233459475, 0.006939648151397705, 0.006964223861694336, 0.006922239780426025, 0.007088128089904785, 0.006985727787017822, 0.00687820816040039, 0.006965248107910156, 0.006884352207183838, 0.007039999961853028, 0.00694271993637085, 0.007050240039825439, 0.006924287796020508, 0.006986752033233643, 0.007234560012817383, 0.007004159927368164, 0.007000063896179199, 0.006998015880584717, 0.0069550080299377445, 0.006915071964263916, 0.007016448020935059, 0.006907904148101806, 0.006964223861694336, 0.0069918718338012695, 0.006897664070129395, 0.00707583999633789, 0.006890495777130127, 0.007128064155578613, 0.007211040019989014, 0.006999008178710938, 0.006974463939666748, 0.006976511955261231, 0.006882304191589355, 0.006985727787017822, 0.00693555212020874, 0.00790015983581543, 0.007143424034118652, 0.006940671920776367, 0.0069632000923156735, 0.006894591808319092, 0.0069816322326660156, 0.0068915200233459475, 0.014715904235839844, 0.00690176010131836, 0.006988800048828125, 0.006951935768127441, 0.006908927917480469, 0.006919167995452881, 0.00688640022277832, 0.0069212160110473635, 0.0068884482383728025, 0.006951935768127441, 0.006890495777130127, 0.0068689918518066405, 0.006906879901885986, 0.007001120090484619, 0.006945759773254395, 0.006952960014343262, 0.0069918718338012695, 0.006864895820617676, 0.006909952163696289, 0.006866943836212158, 0.006892543792724609, 0.006919167995452881, 0.0070348801612854, 0.0070563840866088865, 0.0070052480697631835, 0.006940608024597168, 0.006910975933074951, 0.006906879901885986, 0.007321599960327148, 0.007094272136688232, 0.007371776103973389, 0.007673855781555176, 0.007137279987335205, 0.006964223861694336, 0.006982656002044678, 0.007284736156463623, 0.006924287796020508, 0.007064576148986816, 0.007103487968444824, 0.006976511955261231, 0.006929408073425293, 0.006939648151397705, 0.0069816322326660156, 0.006917119979858399, 0.006888480186462403, 0.007059423923492431, 0.006910975933074951, 0.006922239780426025, 0.006870016098022461, 0.006909952163696289, 0.006894591808319092, 0.007114751815795899, 0.007982079982757568, 0.007064576148986816, 0.007649280071258545, 0.0077281279563903805, 0.00708403205871582, 0.0070225920677185055, 0.007300096035003662, 0.007173120021820068, 0.007039999961853028, 0.006969344139099121, 0.006939648151397705, 0.014486528396606446, 0.006723584175109864, 0.006748159885406494, 0.006717440128326416, 0.0067758078575134275, 0.0067573761940002445, 0.006811647891998291, 0.0067983360290527345, 0.006649856090545654, 0.006770688056945801, 0.006931456089019775, 0.0067983360290527345, 0.0067348480224609375, 0.006781951904296875, 0.006737919807434082, 0.0067573761940002445, 0.006744063854217529, 0.006760447978973389, 0.006822912216186523, 0.006897664070129395, 0.007024640083312988, 0.006904831886291504, 0.007005184173583984, 0.00687820816040039, 0.0070266880989074704, 0.007021567821502686, 0.006913023948669434, 0.006964223861694336, 0.007012351989746094, 0.006915071964263916, 0.007185408115386963, 0.007006207942962647, 0.006979584217071533, 0.00723967981338501, 0.007209983825683594, 0.006987775802612305, 0.0069212160110473635, 0.0069621758460998535, 0.006931456089019775, 0.007063551902770996, 0.0069847040176391605, 0.00698367977142334, 0.007051263809204102, 0.007016448020935059, 0.007003136157989502, 0.007104512214660645, 0.007120895862579346, 0.007079936027526855, 0.007358463764190673, 0.00728166389465332, 0.006987775802612305, 0.0068915200233459475, 0.006978559970855713, 0.007234560012817383, 0.007006207942962647, 0.0069283838272094726, 0.007095295906066895, 0.007061503887176514, 0.007015423774719238, 0.007035903930664063, 0.007011328220367432, 0.007107615947723389, 0.006958047866821289, 0.014362624168395996, 0.006820864200592041, 0.006730751991271973, 0.00682700777053833, 0.00679423999786377, 0.0068280320167541505, 0.006766592025756836, 0.0067276802062988285, 0.006837247848510742, 0.006752255916595459, 0.006815807819366455, 0.006806464195251465, 0.006740992069244385, 0.006767615795135498, 0.006711296081542969, 0.006871039867401123, 0.006770688056945801, 0.006800384044647217, 0.0068393278121948245, 0.00679318380355835, 0.006830080032348633, 0.006724607944488525, 0.00673689603805542, 0.006818816184997558, 0.00675328016281128, 0.006808576107025147, 0.006770688056945801, 0.006814720153808594, 0.006792191982269287, 0.006724607944488525, 0.00677785587310791, 0.006762495994567871, 0.0067041277885437015, 0.006730751991271973, 0.006803455829620361, 0.00672160005569458, 0.006800320148468018, 0.006797376155853271, 0.006750144004821777, 0.006681600093841553, 0.0067348480224609375, 0.0067358717918396, 0.006731776237487793, 0.006802432060241699, 0.006825984001159668, 0.006759424209594727, 0.006781951904296875, 0.007107583999633789, 0.007262207984924316, 0.006866943836212158, 0.006956031799316406, 0.00722431993484497, 0.006994944095611572, 0.007202847957611084, 0.007022560119628906, 0.006889472007751465, 0.007014400005340577, 0.006987775802612305, 0.007175168037414551, 0.0074291200637817386, 0.0069550080299377445, 0.006973440170288086, 0.0067645440101623535]",tokens/s,140.7960119529994,,,,,,2,64,1 -4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -22317,7 +22317,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -23087,7 +23087,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -23623,7 +23623,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -23700,7 +23700,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -24162,7 +24162,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -24377,7 +24377,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -25120,7 +25120,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -25626,7 +25626,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -26321,7 +26321,7 @@ NameError: name 'exl_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 4bit-awq-exllama-v1-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,MB,1231.843328,1005.060096,0.0,358.612992,318.913024,s,21,0.18355030345916748,0.008740490640912738,0.0003350787955471485,0.00862604808807373,0.008949695587158203,0.00923475170135498,0.009869042778015138,"[0.010027615547180176, 0.008949695587158203, 0.008625503540039062, 0.00923475170135498, 0.008610015869140624, 0.00866915225982666, 0.00862604808807373, 0.008871392250061035, 0.008561504364013673, 0.008556192398071288, 0.008633919715881348, 0.00886348819732666, 0.008537247657775878, 0.008714079856872559, 0.008701151847839355, 0.008674336433410644, 0.008554752349853516, 0.008511584281921386, 0.00850607967376709, 0.008580191612243653, 0.008541600227355957]",tokens/s,29288.973642018205,kWh,1.0310658924635563e-07,5.648848538782815e-08,2.2294035675046953e-07,3.825354313846533e-07,tokens/kWh,669219055.2738177,MB,1232.13824,1005.060096,0.0,358.612992,328.809472,s,21,10.26999664306641,0.48904745919363846,0.00403887718511448,0.487286376953125,0.4949382019042969,0.4976250915527344,0.4998394714355469,"[0.50039306640625, 0.4949382019042969, 0.491740478515625, 0.4892876586914062, 0.4909471740722656, 0.4976250915527344, 0.487286376953125, 0.48865457153320313, 0.48538818359375, 0.48481610107421874, 0.48979806518554686, 0.48635006713867185, 0.48722393798828123, 0.485962646484375, 0.4894192504882813, 0.48873077392578124, 0.4857748413085938, 0.4860442810058594, 0.48649954223632813, 0.4870877685546875, 0.486028564453125]",tokens/s,128.821853208024,kWh,5.764060866563101e-06,3.1584372687529265e-06,9.864422210484918e-06,1.878692034580095e-05,tokens/kWh,3353396.8761453275,,s,1322,10.43460300683975,0.007893043121663959,0.0011110576671242386,0.007707647800445557,0.007921459436416627,0.008081356382369995,0.016560291538238524,"[0.009092096328735352, 0.009058367729187012, 0.008918975830078125, 0.008963071823120117, 0.008934399604797364, 0.008929280281066895, 0.00934502410888672, 0.008104960441589355, 0.008223744392395019, 0.007952415943145752, 0.007911392211914062, 0.007724063873291016, 0.007740384101867676, 0.007718912124633789, 0.007732223987579345, 0.007771135807037354, 0.007724031925201416, 0.007733248233795166, 0.007701568126678467, 0.00769324779510498, 0.007707647800445557, 0.007727104187011719, 0.007730175971984863, 0.007672832012176513, 0.007747583866119385, 0.007762944221496582, 0.007890944004058837, 0.007702527999877929, 0.007723008155822754, 0.007799808025360107, 0.007707647800445557, 0.007696383953094482, 0.007733248233795166, 0.0076902399063110355, 0.007792640209197998, 0.007727104187011719, 0.007721983909606934, 0.007738368034362793, 0.007664639949798584, 0.0076902399063110355, 0.007693312168121338, 0.0076902399063110355, 0.0076912641525268555, 0.007764992237091065, 0.007812096118927002, 0.0076984319686889645, 0.007737343788146973, 0.007910399913787843, 0.007769087791442871, 0.007794688224792481, 0.007959551811218261, 0.007833600044250488, 0.007940095901489258, 0.007715839862823487, 0.007907328128814697, 0.007768064022064209, 0.0076984319686889645, 0.007676928043365478, 0.007727104187011719, 0.007711743831634522, 0.00790937614440918, 0.007811071872711181, 0.01726470375061035, 0.007868351936340333, 0.007919616222381591, 0.008102911949157715, 0.008324095726013184, 0.008201215744018555, 0.008301568031311036, 0.008308735847473145, 0.008286208152770995, 0.00830463981628418, 0.008102911949157715, 0.00808140754699707, 0.007987199783325195, 0.007973919868469239, 0.007829472064971924, 0.00774348783493042, 0.007905280113220215, 0.007950335979461669, 0.008045568466186523, 0.007724031925201416, 0.00809779167175293, 0.007895040035247802, 0.007924736022949219, 0.007701504230499268, 0.007714816093444824, 0.007802879810333252, 0.007689216136932373, 0.007731200218200684, 0.0076902399063110355, 0.007704576015472412, 0.0077209601402282715, 0.0077036161422729494, 0.00770963191986084, 0.00785100793838501, 0.007706624031066894, 0.00785920000076294, 0.007693312168121338, 0.00774348783493042, 0.007714816093444824, 0.007696383953094482, 0.007706624031066894, 0.007671807765960693, 0.008090656280517578, 0.00802505588531494, 0.007776256084442139, 0.007709695816040039, 0.007713791847229004, 0.007703551769256592, 0.00783462381362915, 0.007703551769256592, 0.0076984319686889645, 0.007723008155822754, 0.007885824203491211, 0.007710720062255859, 0.007711743831634522, 0.007705599784851074, 0.007715839862823487, 0.007755775928497314, 0.007683072090148926, 0.007688191890716553, 0.007709695816040039, 0.007748608112335205, 0.007685120105743408, 0.01663488006591797, 0.007726079940795898, 0.007717887878417969, 0.0077281279563903805, 0.007688191890716553, 0.007729152202606201, 0.0076943359375, 0.007702527999877929, 0.007713888168334961, 0.007737247943878174, 0.0077209601402282715, 0.007712768077850342, 0.0077608962059021, 0.007717887878417969, 0.007710720062255859, 0.008239104270935058, 0.008116224288940429, 0.008475647926330567, 0.008458239555358887, 0.008246272087097169, 0.007942143917083741, 0.00795961618423462, 0.007945151805877685, 0.007906303882598878, 0.007910399913787843, 0.007938047885894776, 0.007723008155822754, 0.007715839862823487, 0.0076902399063110355, 0.0076902399063110355, 0.0076902399063110355, 0.007681024074554443, 0.007697408199310303, 0.007683104038238526, 0.0076943359375, 0.0077506241798400875, 0.00775270414352417, 0.007787519931793213, 0.007673855781555176, 0.007689216136932373, 0.007712768077850342, 0.007634943962097168, 0.007689216136932373, 0.0076902399063110355, 0.0076912641525268555, 0.007678976058959961, 0.0076902399063110355, 0.007709695816040039, 0.007890944004058837, 0.007795711994171142, 0.007898111820220948, 0.007674880027770996, 0.007759871959686279, 0.007707647800445557, 0.007746560096740723, 0.007889920234680176, 0.007853055953979492, 0.007882751941680909, 0.007867392063140868, 0.0077547521591186525, 0.007782400131225586, 0.007676928043365478, 0.007889920234680176, 0.01763020706176758, 0.008062975883483887, 0.007933951854705811, 0.00788479995727539, 0.007878655910491944, 0.007974912166595459, 0.007945216178894043, 0.007906303882598878, 0.007907328128814697, 0.007918591976165772, 0.007847936153411865, 0.007732223987579345, 0.00775270414352417, 0.007715839862823487, 0.007693312168121338, 0.007790592193603516, 0.007701504230499268, 0.00767084789276123, 0.007698368072509765, 0.007670783996582031, 0.007679999828338623, 0.007670783996582031, 0.007672832012176513, 0.0076871681213378906, 0.007737343788146973, 0.007924736022949219, 0.007703551769256592, 0.007711743831634522, 0.007705599784851074, 0.007706624031066894, 0.007683072090148926, 0.007726079940795898, 0.007684095859527588, 0.007717887878417969, 0.007829504013061523, 0.007885824203491211, 0.007727104187011719, 0.007808000087738037, 0.007792640209197998, 0.007704576015472412, 0.007664639949798584, 0.007731200218200684, 0.007749631881713868, 0.007715839862823487, 0.007766016006469726, 0.007790592193603516, 0.007709695816040039, 0.007795711994171142, 0.007740416049957275, 0.007689216136932373, 0.007677951812744141, 0.007688191890716553, 0.007706624031066894, 0.007693312168121338, 0.007697440147399902, 0.007667679786682129, 0.0076912641525268555, 0.007759871959686279, 0.007836671829223632, 0.007707647800445557, 0.007697408199310303, 0.007692287921905518, 0.007705599784851074, 0.01658367919921875, 0.007725056171417236, 0.007701568126678467, 0.007698368072509765, 0.007697408199310303, 0.007677984237670898, 0.007667744159698486, 0.00769324779510498, 0.007798816204071045, 0.007762944221496582, 0.00780079984664917, 0.008656895637512207, 0.00830361557006836, 0.008055839538574219, 0.008196063995361328, 0.007998464107513427, 0.00795136022567749, 0.008061951637268066, 0.007879712104797364, 0.00796668815612793, 0.007711808204650879, 0.0077086081504821775, 0.007677951812744141, 0.007714816093444824, 0.007709695816040039, 0.007789567947387695, 0.007707647800445557, 0.0076912641525268555, 0.007716864109039307, 0.007702527999877929, 0.007709695816040039, 0.007679999828338623, 0.007709695816040039, 0.007703551769256592, 0.007715839862823487, 0.007775231838226319, 0.007758848190307617, 0.007897088050842285, 0.007768064022064209, 0.007769087791442871, 0.007915520191192627, 0.007915520191192627, 0.007895040035247802, 0.0076943359375, 0.007679999828338623, 0.007676928043365478, 0.00769536018371582, 0.007711743831634522, 0.007781375885009765, 0.007708735942840576, 0.00771065616607666, 0.0076984319686889645, 0.007763967990875244, 0.007647232055664062, 0.007775231838226319, 0.007683072090148926, 0.007717887878417969, 0.007763967990875244, 0.0076943359375, 0.007715839862823487, 0.007766016006469726, 0.007777279853820801, 0.007678976058959961, 0.016675840377807616, 0.007716864109039307, 0.0076984319686889645, 0.007701504230499268, 0.00780185604095459, 0.007713791847229004, 0.007725056171417236, 0.007714816093444824, 0.007688191890716553, 0.008960000038146973, 0.008425472259521484, 0.00793497610092163, 0.007820288181304931, 0.007699456214904785, 0.007699456214904785, 0.007682047843933106, 0.007803904056549072, 0.007661568164825439, 0.007709695816040039, 0.007979008197784423, 0.007948287963867188, 0.008050687789916992, 0.007895040035247802, 0.007890944004058837, 0.007904255867004394, 0.00800051212310791, 0.007781375885009765, 0.007700479984283447, 0.0076902399063110355, 0.0076902399063110355, 0.007723008155822754, 0.007730175971984863, 0.007696383953094482, 0.007681024074554443, 0.008360960006713868, 0.009117695808410644, 0.009527296066284179, 0.00808243179321289, 0.00799955177307129, 0.00785094404220581, 0.007670783996582031, 0.007714816093444824, 0.007681024074554443, 0.007689216136932373, 0.007984127998352051, 0.007931903839111328, 0.007922688007354736, 0.00800870418548584, 0.007964672088623047, 0.008010751724243164, 0.007980031967163086, 0.00773529577255249, 0.007676928043365478, 0.0076871681213378906, 0.00769536018371582, 0.007947264194488525, 0.008145919799804687, 0.007927807807922363, 0.007897088050842285, 0.007776256084442139, 0.007714816093444824, 0.007714816093444824, 0.007712768077850342, 0.016688127517700196, 0.007721983909606934, 0.007673855781555176, 0.00773529577255249, 0.008170495986938477, 0.008371199607849121, 0.0077209601402282715, 0.0077281599044799806, 0.007708640098571778, 0.007672832012176513, 0.0076943359375, 0.0076943359375, 0.007738368034362793, 0.00773529577255249, 0.007715839862823487, 0.007730175971984863, 0.0076871681213378906, 0.007707647800445557, 0.007707647800445557, 0.007686143875122071, 0.007689216136932373, 0.0076984319686889645, 0.007703551769256592, 0.007768064022064209, 0.00774348783493042, 0.007772160053253174, 0.0076871681213378906, 0.007663616180419922, 0.007666687965393066, 0.007672832012176513, 0.0076656961441040035, 0.007675871849060058, 0.0076871681213378906, 0.00764518404006958, 0.007671807765960693, 0.007745535850524903, 0.007677951812744141, 0.0076902399063110355, 0.007734272003173828, 0.007685120105743408, 0.0076943359375, 0.007675903797149658, 0.007677951812744141, 0.007675903797149658, 0.007730175971984863, 0.007740416049957275, 0.007658495903015137, 0.007704576015472412, 0.007727104187011719, 0.007727104187011719, 0.007701504230499268, 0.007684095859527588, 0.0077578239440917966, 0.007705599784851074, 0.007681024074554443, 0.007710720062255859, 0.007685184001922607, 0.007728064060211181, 0.007676959991455078, 0.007675871849060058, 0.007856128215789794, 0.00790118408203125, 0.0079267840385437, 0.017124351501464845, 0.007890944004058837, 0.007896063804626464, 0.007844863891601562, 0.007715839862823487, 0.007679999828338623, 0.007675903797149658, 0.0076912641525268555, 0.007697408199310303, 0.007703551769256592, 0.007701504230499268, 0.007693312168121338, 0.00774348783493042, 0.0076984319686889645, 0.007705599784851074, 0.007809023857116699, 0.007742464065551758, 0.007864319801330566, 0.007906303882598878, 0.007886847972869874, 0.007703551769256592, 0.007671807765960693, 0.007692287921905518, 0.007684095859527588, 0.007683072090148926, 0.007726079940795898, 0.007716864109039307, 0.007705599784851074, 0.007701504230499268, 0.007738368034362793, 0.007684095859527588, 0.007758848190307617, 0.007689216136932373, 0.007742464065551758, 0.007646207809448242, 0.007659520149230957, 0.007811071872711181, 0.007968768119812012, 0.007933951854705811, 0.007763967990875244, 0.007693312168121338, 0.0076943359375, 0.007675903797149658, 0.007677951812744141, 0.007677951812744141, 0.007675936222076416, 0.007691232204437256, 0.0076687359809875484, 0.007788544178009033, 0.007912447929382324, 0.0077209601402282715, 0.007674880027770996, 0.007666687965393066, 0.007675903797149658, 0.007684095859527588, 0.007665664196014404, 0.007678976058959961, 0.008128512382507324, 0.008069120407104492, 0.007811071872711181, 0.007938047885894776, 0.007679999828338623, 0.007688223838806152, 0.016586719512939455, 0.007676928043365478, 0.007712768077850342, 0.007682047843933106, 0.007674880027770996, 0.007696383953094482, 0.007659520149230957, 0.007680031776428222, 0.007677919864654541, 0.0076912641525268555, 0.0076912641525268555, 0.007704576015472412, 0.007708672046661377, 0.007681024074554443, 0.007847936153411865, 0.007811071872711181, 0.00773632001876831, 0.007725056171417236, 0.0076574721336364745, 0.0076769919395446775, 0.007656383991241455, 0.007673855781555176, 0.007708672046661377, 0.00769536018371582, 0.007670783996582031, 0.007692287921905518, 0.007771135807037354, 0.007670783996582031, 0.007665664196014404, 0.007670783996582031, 0.007733248233795166, 0.007681024074554443, 0.007705599784851074, 0.007664639949798584, 0.0076605439186096195, 0.007678976058959961, 0.007718912124633789, 0.007679999828338623, 0.007672832012176513, 0.007723008155822754, 0.007666687965393066, 0.007671807765960693, 0.007719999790191651, 0.007715775966644287, 0.007756832122802734, 0.007769055843353271, 0.007670783996582031, 0.007681024074554443, 0.0076871681213378906, 0.007742464065551758, 0.007697408199310303, 0.007704576015472412, 0.007715839862823487, 0.0077199358940124516, 0.007715839862823487, 0.007699456214904785, 0.007782400131225586, 0.007672832012176513, 0.007705599784851074, 0.007671807765960693, 0.007681024074554443, 0.007676928043365478, 0.007688191890716553, 0.016537599563598633, 0.007702527999877929, 0.0076912641525268555, 0.00780185604095459, 0.007649280071258545, 0.0077199358940124516, 0.0076605439186096195, 0.007711743831634522, 0.0076360001564025875, 0.0076789441108703616, 0.007679999828338623, 0.007708672046661377, 0.007693376064300537, 0.0076594557762145994, 0.007683072090148926, 0.007707647800445557, 0.007715839862823487, 0.007693312168121338, 0.007656447887420655, 0.007662591934204102, 0.007688191890716553, 0.007667712211608887, 0.007652383804321289, 0.007774176120758057, 0.007679999828338623, 0.0076277761459350585, 0.0077199358940124516, 0.007705599784851074, 0.007661568164825439, 0.007655424118041992, 0.00765337610244751, 0.007646207809448242, 0.007651328086853027, 0.00765337610244751, 0.007684095859527588, 0.007672832012176513, 0.00765235185623169, 0.007797760009765625, 0.0076574721336364745, 0.007676928043365478, 0.007676928043365478, 0.0076605439186096195, 0.007675936222076416, 0.007666656017303467, 0.007671807765960693, 0.007673855781555176, 0.007711743831634522, 0.007681024074554443, 0.0076605439186096195, 0.007897088050842285, 0.007715839862823487, 0.007639039993286132, 0.007663616180419922, 0.007663616180419922, 0.007703551769256592, 0.007701504230499268, 0.007685120105743408, 0.007809023857116699, 0.007738368034362793, 0.007857151985168457, 0.007700479984283447, 0.007667744159698486, 0.007658463954925537, 0.01657142448425293, 0.007717855930328369, 0.007683072090148926, 0.007674880027770996, 0.007670783996582031, 0.007671807765960693, 0.0076984319686889645, 0.007650303840637207, 0.007666687965393066, 0.007692287921905518, 0.007678976058959961, 0.00769536018371582, 0.007678976058959961, 0.007858176231384278, 0.0076912641525268555, 0.007671807765960693, 0.007683072090148926, 0.007661568164825439, 0.007699456214904785, 0.00769536018371582, 0.007699456214904785, 0.007732223987579345, 0.0076902399063110355, 0.007854080200195313, 0.007869440078735352, 0.007822336196899414, 0.007726079940795898, 0.008191007614135742, 0.008648672103881837, 0.008141823768615723, 0.007966720104217529, 0.007977983951568603, 0.008117247581481933, 0.007708672046661377, 0.007697408199310303, 0.007654399871826172, 0.007683072090148926, 0.007730175971984863, 0.007701504230499268, 0.008463359832763672, 0.008068096160888672, 0.007916543960571289, 0.007705599784851074, 0.007667712211608887, 0.007699456214904785, 0.007643136024475097, 0.007656447887420655, 0.007656447887420655, 0.007661568164825439, 0.0076605439186096195, 0.007755775928497314, 0.007671807765960693, 0.0076871681213378906, 0.007669760227203369, 0.0077619199752807615, 0.007662591934204102, 0.0076605439186096195, 0.007664639949798584, 0.007772160053253174, 0.007708672046661377, 0.007676928043365478, 0.007662591934204102, 0.00795750379562378, 0.017183744430541992, 0.007907328128814697, 0.007918591976165772, 0.00783462381362915, 0.007717887878417969, 0.0076943359375, 0.007677951812744141, 0.007763967990875244, 0.007702527999877929, 0.007685120105743408, 0.007701504230499268, 0.007684095859527588, 0.007709695816040039, 0.007688191890716553, 0.007730175971984863, 0.007692287921905518, 0.007733248233795166, 0.007673855781555176, 0.007678976058959961, 0.007662591934204102, 0.007718912124633789, 0.007674880027770996, 0.007672832012176513, 0.007670783996582031, 0.007658495903015137, 0.007688191890716553, 0.007734272003173828, 0.007763967990875244, 0.007769087791442871, 0.007686143875122071, 0.007650303840637207, 0.007665664196014404, 0.007681024074554443, 0.007721983909606934, 0.0077281279563903805, 0.007683072090148926, 0.00769536018371582, 0.0077916159629821775, 0.007670783996582031, 0.007696383953094482, 0.0076605439186096195, 0.007673920154571533, 0.0076819839477539065, 0.007651328086853027, 0.0076943359375, 0.007655424118041992, 0.0076574721336364745, 0.007684095859527588, 0.007669760227203369, 0.007726079940795898, 0.007689216136932373, 0.007771135807037354, 0.0076912641525268555, 0.007823359966278077, 0.007716864109039307, 0.007703551769256592, 0.007678976058959961, 0.007688191890716553, 0.0077844481468200685, 0.007733248233795166, 0.007706624031066894, 0.0077199358940124516, 0.007748608112335205, 0.016525312423706053, 0.007715839862823487, 0.0077209601402282715, 0.007697408199310303, 0.007702527999877929, 0.007712800025939942, 0.007707615852355957, 0.007683072090148926, 0.007696383953094482, 0.007737343788146973, 0.0076687359809875484, 0.007705599784851074, 0.007711743831634522, 0.007686143875122071, 0.007732223987579345, 0.00773632001876831, 0.00787660789489746, 0.00830361557006836, 0.007911424160003662, 0.007717887878417969, 0.007702527999877929, 0.007723008155822754, 0.007732223987579345, 0.007715839862823487, 0.007697408199310303, 0.007795711994171142, 0.007724031925201416, 0.007716864109039307, 0.007809023857116699, 0.007868415832519531, 0.0077608962059021, 0.00773632001876831, 0.007714816093444824, 0.007705599784851074, 0.007703551769256592, 0.007706624031066894, 0.007705599784851074, 0.007702527999877929, 0.007710720062255859, 0.007686143875122071, 0.007699456214904785, 0.007853055953979492, 0.007704576015472412, 0.007655424118041992, 0.007672832012176513, 0.007702527999877929, 0.007703551769256592, 0.007702527999877929, 0.007742464065551758, 0.0076871681213378906, 0.007737343788146973, 0.007697408199310303, 0.007700479984283447, 0.007683072090148926, 0.007702527999877929, 0.007733248233795166, 0.007663616180419922, 0.007678976058959961, 0.007686143875122071, 0.00769536018371582, 0.0077209601402282715, 0.007686143875122071, 0.007703551769256592, 0.01681612777709961, 0.007713791847229004, 0.007679999828338623, 0.007707712173461914, 0.007690176010131836, 0.007659520149230957, 0.007675903797149658, 0.007814144134521485, 0.007681024074554443, 0.007721983909606934, 0.007671807765960693, 0.007718912124633789, 0.007726079940795898, 0.007714816093444824, 0.007703551769256592, 0.007715839862823487, 0.0076943359375, 0.00769536018371582, 0.007705599784851074, 0.007677951812744141, 0.007672832012176513, 0.007671807765960693, 0.007730175971984863, 0.007686143875122071, 0.007659520149230957, 0.0076912641525268555, 0.0076984319686889645, 0.007662591934204102, 0.007699456214904785, 0.0077578239440917966, 0.0076943359375, 0.0077404799461364745, 0.007823296070098877, 0.007710720062255859, 0.0076943359375, 0.007682047843933106, 0.00769536018371582, 0.007639039993286132, 0.007710720062255859, 0.007692287921905518, 0.007687200069427491, 0.007911392211914062, 0.00794316816329956, 0.007654399871826172, 0.0076943359375, 0.007661568164825439, 0.0076902399063110355, 0.007673855781555176, 0.007707647800445557, 0.007701504230499268, 0.007683072090148926, 0.007661568164825439, 0.00773632001876831, 0.007669760227203369, 0.007759871959686279, 0.007682047843933106, 0.007688191890716553, 0.007670783996582031, 0.00773638391494751, 0.007666624069213867, 0.007685120105743408, 0.007774208068847656, 0.007774208068847656, 0.016714752197265623, 0.007661568164825439, 0.007718912124633789, 0.007678976058959961, 0.0076902399063110355, 0.0076687359809875484, 0.007655424118041992, 0.007704576015472412, 0.007724031925201416, 0.007693312168121338, 0.007682047843933106, 0.007713856220245362, 0.007695295810699463, 0.007727104187011719, 0.007708672046661377, 0.0076912641525268555, 0.0076943359375, 0.007725056171417236, 0.007659520149230957, 0.008349696159362792, 0.008087552070617676, 0.00800153636932373, 0.007982079982757568, 0.007956480026245117, 0.007929855823516846, 0.008227840423583984, 0.008046591758728027, 0.008014847755432129, 0.007885824203491211, 0.007773183822631836, 0.0076871681213378906, 0.007777279853820801, 0.007727104187011719, 0.007721983909606934, 0.007692287921905518, 0.007705599784851074, 0.007746560096740723, 0.007696383953094482, 0.007721983909606934, 0.007792640209197998, 0.007708672046661377, 0.007921664237976075, 0.007707647800445557, 0.007706624031066894, 0.007712768077850342, 0.007642111778259277, 0.007730175971984863, 0.007689216136932373, 0.007717887878417969, 0.007708672046661377, 0.007692287921905518, 0.007714816093444824, 0.007763967990875244, 0.007715839862823487, 0.007689216136932373, 0.007714816093444824, 0.007768064022064209, 0.0076912641525268555, 0.007679999828338623, 0.007677951812744141, 0.007693312168121338, 0.007681024074554443, 0.007692287921905518, 0.01683967971801758, 0.007956480026245117, 0.00795136022567749, 0.007931968212127686, 0.007883711814880371, 0.0077209601402282715, 0.007726111888885498, 0.007844831943511963, 0.007725056171417236, 0.007685120105743408, 0.007966720104217529, 0.007915520191192627, 0.007905280113220215, 0.007930880069732665, 0.0077209601402282715, 0.0077199358940124516, 0.007727104187011719, 0.007699456214904785, 0.0076912641525268555, 0.0076912641525268555, 0.007654399871826172, 0.007792640209197998, 0.0076871681213378906, 0.007699456214904785, 0.0076902399063110355, 0.007671807765960693, 0.0077209601402282715, 0.0076984319686889645, 0.007840767860412597, 0.007961599826812745, 0.007816192150115966, 0.007692287921905518, 0.007686143875122071, 0.007718912124633789, 0.007701504230499268, 0.007663616180419922, 0.007713791847229004, 0.007682047843933106, 0.007669760227203369, 0.007689216136932373, 0.007676928043365478, 0.00800153636932373, 0.007803904056549072, 0.007771135807037354, 0.0077322559356689455, 0.007685152053833008, 0.007731135845184326, 0.007712768077850342, 0.007674880027770996, 0.007709695816040039, 0.007684095859527588, 0.007681024074554443, 0.00773632001876831, 0.007786496162414551, 0.007685120105743408, 0.007683072090148926, 0.007667712211608887, 0.007677951812744141, 0.007724031925201416, 0.007700479984283447, 0.007700479984283447, 0.007817215919494629, 0.0077209601402282715, 0.01655705642700195, 0.007729152202606201, 0.007725056171417236, 0.007679999828338623, 0.00773529577255249, 0.007704576015472412, 0.007726079940795898, 0.007715839862823487, 0.007713791847229004, 0.00774454402923584, 0.007709663867950439, 0.007705599784851074, 0.007731200218200684, 0.007697408199310303, 0.007729152202606201, 0.007713791847229004, 0.00773632001876831, 0.007699456214904785, 0.007676928043365478, 0.007709695816040039, 0.007763967990875244, 0.007693312168121338, 0.007684095859527588, 0.007672832012176513, 0.007727104187011719, 0.007699456214904785, 0.007692287921905518, 0.007696383953094482, 0.007666687965393066, 0.007671807765960693, 0.007734272003173828, 0.007797760009765625, 0.007671807765960693, 0.007671807765960693, 0.007674880027770996, 0.007686143875122071, 0.007685120105743408, 0.007680031776428222, 0.007708640098571778, 0.007688191890716553, 0.007741439819335938, 0.007726079940795898, 0.007679999828338623, 0.007747583866119385, 0.007707647800445557, 0.007661568164825439, 0.007709695816040039, 0.007714816093444824, 0.007689216136932373, 0.007710720062255859, 0.007702527999877929, 0.00769536018371582, 0.007712768077850342, 0.007729152202606201, 0.007714816093444824, 0.0076984319686889645, 0.00769536018371582, 0.007725056171417236, 0.007663616180419922, 0.007682112216949463, 0.007765952110290527, 0.007704576015472412, 0.007675903797149658, 0.016482303619384766, 0.0077209601402282715, 0.007693312168121338, 0.007663616180419922, 0.007686143875122071, 0.007688191890716553, 0.007673855781555176, 0.007783423900604248, 0.007667712211608887, 0.007689216136932373, 0.007803904056549072, 0.00769536018371582, 0.007676928043365478, 0.007678976058959961, 0.007724031925201416, 0.007696383953094482, 0.007805952072143555, 0.007718912124633789, 0.007708672046661377, 0.0076912641525268555, 0.007655424118041992, 0.0076902399063110355, 0.007697408199310303, 0.007712768077850342, 0.007770112037658691, 0.007656447887420655, 0.00785920000076294, 0.007704576015472412, 0.007676928043365478, 0.007677951812744141, 0.007712768077850342, 0.0076943359375, 0.007666687965393066, 0.007725056171417236, 0.007830527782440186, 0.007674880027770996, 0.00769536018371582, 0.007692287921905518, 0.007716864109039307, 0.0076687359809875484, 0.007670783996582031, 0.007796735763549805, 0.007696383953094482, 0.0076943359375, 0.007697408199310303, 0.007675903797149658, 0.007701504230499268, 0.007655424118041992, 0.007669760227203369, 0.007663616180419922, 0.007686143875122071, 0.007696383953094482, 0.00764518404006958, 0.00769536018371582, 0.007786496162414551, 0.007718912124633789, 0.007711743831634522, 0.0077209601402282715, 0.007987199783325195, 0.0076871681213378906, 0.007702527999877929, 0.007797760009765625, 0.007693312168121338, 0.016484352111816408, 0.007674880027770996, 0.007697408199310303, 0.007717887878417969, 0.007707647800445557, 0.007704576015472412, 0.007643136024475097, 0.007710720062255859, 0.0077199358940124516, 0.0077199358940124516, 0.007701504230499268, 0.007710720062255859, 0.0076984319686889645, 0.0077619199752807615, 0.007701504230499268, 0.007733248233795166, 0.007715871810913086, 0.007692255973815918, 0.007709695816040039, 0.0076943359375, 0.007684095859527588, 0.0076912641525268555, 0.007692287921905518, 0.007710720062255859, 0.007682047843933106, 0.007670783996582031, 0.007689216136932373, 0.007673855781555176, 0.007685120105743408, 0.007702527999877929, 0.007711743831634522, 0.007717887878417969, 0.007881728172302246, 0.007721983909606934, 0.007707647800445557, 0.007847936153411865, 0.007799808025360107, 0.0077281279563903805, 0.007715839862823487, 0.0076902399063110355, 0.007700479984283447, 0.007724031925201416, 0.0076943359375, 0.007865344047546387, 0.0076871681213378906, 0.007723008155822754, 0.007727104187011719, 0.0077199358940124516, 0.007688191890716553, 0.007844863891601562, 0.007663616180419922, 0.007730175971984863, 0.007700479984283447, 0.007699456214904785, 0.00773529577255249, 0.007684095859527588, 0.007678976058959961, 0.007696383953094482, 0.007714816093444824, 0.00782643222808838, 0.007778304100036621, 0.007774208068847656, 0.007678976058959961, 0.016561151504516602, 0.007704576015472412, 0.007812096118927002, 0.007910399913787843, 0.007922688007354736, 0.008080384254455567, 0.007913472175598145, 0.007903232097625732, 0.007676928043365478, 0.007712831974029541, 0.007683008193969726, 0.007683072090148926, 0.007721983909606934, 0.007693312168121338, 0.007700479984283447, 0.0077199358940124516, 0.007685120105743408, 0.007682047843933106, 0.007686143875122071, 0.007696383953094482, 0.007689216136932373, 0.007641088008880615, 0.007703551769256592, 0.0076912641525268555, 0.007705599784851074, 0.0077281599044799806, 0.007726047992706299, 0.007732223987579345, 0.007673855781555176, 0.0076687359809875484, 0.00778547191619873, 0.007723008155822754, 0.007731200218200684, 0.007683072090148926, 0.007699456214904785, 0.007643136024475097, 0.007693312168121338, 0.007725088119506836, 0.007687136173248291, 0.007711743831634522, 0.007689216136932373, 0.007809023857116699, 0.007697408199310303, 0.007674911975860596, 0.0076861119270324706, 0.007665664196014404, 0.007709695816040039, 0.007683072090148926, 0.007771135807037354, 0.007688191890716553, 0.007716864109039307, 0.007693312168121338, 0.007705599784851074, 0.007773183822631836, 0.007767039775848389, 0.0077578239440917966, 0.0077209601402282715, 0.007709695816040039, 0.007776256084442139, 0.007709695816040039, 0.007684095859527588, 0.007709695816040039, 0.00769536018371582, 0.016553983688354493, 0.007738368034362793, 0.007707647800445557, 0.0077199358940124516, 0.007712768077850342, 0.007697408199310303, 0.007688191890716553, 0.007713791847229004, 0.007730175971984863, 0.007711743831634522, 0.007738368034362793, 0.007681024074554443, 0.007712768077850342, 0.007685120105743408, 0.007709695816040039, 0.007734272003173828, 0.007716864109039307, 0.007678976058959961, 0.0076912641525268555, 0.007699456214904785, 0.0077209601402282715, 0.007701504230499268, 0.007718912124633789, 0.007665664196014404, 0.0076912641525268555, 0.007706624031066894, 0.007685120105743408, 0.007721983909606934, 0.007716864109039307, 0.007688191890716553, 0.007689216136932373, 0.007676928043365478, 0.007684095859527588, 0.007715839862823487, 0.007701504230499268, 0.007725056171417236, 0.0076912641525268555, 0.007726079940795898, 0.007692287921905518, 0.007766016006469726, 0.00800051212310791, 0.00773529577255249, 0.007711743831634522, 0.007738368034362793, 0.0076912641525268555, 0.0076574721336364745, 0.0077066879272460935, 0.007749567985534668, 0.007740416049957275, 0.007701504230499268, 0.007696383953094482, 0.007714816093444824, 0.0076871681213378906, 0.007677951812744141, 0.0076902399063110355, 0.007684095859527588, 0.007696415901184082, 0.007714784145355225, 0.007678976058959961, 0.007717919826507568, 0.0077270717620849605, 0.007686143875122071, 0.007689216136932373]",tokens/s,126.69384730146851,,,,,,1,64,1 -4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -26398,7 +26398,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,64,1 -4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -27266,7 +27266,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -27960,7 +27960,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -28061,7 +28061,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -28792,7 +28792,7 @@ ChildProcessError: Traceback (most recent call last): AssertionError: AWQ kernels could not be loaded. Please install them from https://github.com/casper-hansen/AutoAWQ_kernels ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -29061,7 +29061,7 @@ ChildProcessError: Traceback (most recent call last): AssertionError: AWQ kernels could not be loaded. Please install them from https://github.com/casper-hansen/AutoAWQ_kernels ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -30025,7 +30025,7 @@ ChildProcessError: Traceback (most recent call last): AssertionError ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -30404,7 +30404,7 @@ Traceback (most recent call last): OSError: Incorrect path_or_model_id: '-'. Please provide either the path to a local folder or the repo_id of a model on the Hub. ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -30651,7 +30651,7 @@ ChildProcessError: Traceback (most recent call last): AssertionError: AWQ kernels could not be loaded. Please install them from https://github.com/casper-hansen/AutoAWQ_kernels ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -31652,7 +31652,7 @@ AssertionError: AWQ kernels could not be loaded. Please install them from https: ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-awq-gemv-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,MB,1234.579456,1005.060096,0.0,358.612992,318.913024,s,21,0.18631392097473143,0.008872091474987211,0.000924222773129299,0.008636768341064454,0.008913311958312988,0.009082719802856446,0.012191328048706058,"[0.012968480110168457, 0.008715680122375488, 0.008649439811706542, 0.008653440475463868, 0.008547360420227051, 0.008636223793029784, 0.00852006435394287, 0.008628000259399414, 0.008578911781311035, 0.008601471900939942, 0.008556415557861328, 0.00872332763671875, 0.008607872009277344, 0.008735967636108398, 0.008636768341064454, 0.008690496444702149, 0.008913311958312988, 0.00862070369720459, 0.008642592430114747, 0.009082719802856446, 0.008604672431945801]",tokens/s,28854.526660566135,kWh,1.0560125751725471e-07,5.786425132276262e-08,2.2601994052193067e-07,3.89485449361948e-07,tokens/kWh,657277442.3778274,MB,1234.579456,1005.060096,0.0,358.612992,328.809472,s,21,10.324910400390625,0.4916624000186012,0.00544805281141677,0.49037628173828124,0.4947781066894531,0.5050043334960937,0.5079629760742188,"[0.50870263671875, 0.4930988159179687, 0.48819091796875, 0.4877738342285156, 0.4884733581542969, 0.48753598022460937, 0.488943115234375, 0.48698284912109374, 0.48965280151367185, 0.4866800231933594, 0.49037628173828124, 0.4889322509765625, 0.4905810546875, 0.48850283813476564, 0.4947781066894531, 0.49458047485351564, 0.4923774108886719, 0.4912550964355469, 0.49059906005859377, 0.49188916015625, 0.5050043334960937]",tokens/s,128.13670518147515,kWh,5.982969098851764e-06,3.278237305428838e-06,1.0177446715578437e-05,1.9438653119859037e-05,tokens/kWh,3240965.287643183,,s,1322,10.486766648292543,0.007932501246817355,0.0011072131495569327,0.007730175971984863,0.008002457332611084,0.008157030057907104,0.016623786373138428,"[0.011603967666625976, 0.010896384239196777, 0.009056256294250489, 0.008364031791687012, 0.007814144134521485, 0.007742464065551758, 0.0078919677734375, 0.007983104228973388, 0.007925759792327881, 0.007923711776733398, 0.007890944004058837, 0.00773529577255249, 0.00810598373413086, 0.007941120147705078, 0.007896063804626464, 0.00778547191619873, 0.0077209601402282715, 0.007713791847229004, 0.00801689624786377, 0.007914495944976807, 0.00795750379562378, 0.007947264194488525, 0.007755775928497314, 0.007707647800445557, 0.007718912124633789, 0.0077281279563903805, 0.007827455997467042, 0.0077281279563903805, 0.007740416049957275, 0.00769536018371582, 0.007731200218200684, 0.0077281279563903805, 0.0077578239440917966, 0.007866432189941406, 0.007905216217041015, 0.007806975841522217, 0.007733280181884765, 0.007848959922790527, 0.007939040184020996, 0.007905280113220215, 0.007763967990875244, 0.007702527999877929, 0.007729152202606201, 0.0076871681213378906, 0.007738368034362793, 0.007699456214904785, 0.00774451208114624, 0.007715839862823487, 0.007705599784851074, 0.007665664196014404, 0.007705599784851074, 0.007772160053253174, 0.00832307243347168, 0.008374272346496582, 0.008364031791687012, 0.008137727737426758, 0.008676351547241211, 0.008647680282592773, 0.008061951637268066, 0.007941120147705078, 0.007804927825927735, 0.007699456214904785, 0.016753664016723634, 0.007749631881713868, 0.007865344047546387, 0.007974912166595459, 0.008176639556884765, 0.008267775535583496, 0.008225791931152344, 0.008252415657043457, 0.008347647666931152, 0.008347647666931152, 0.008121343612670898, 0.00808140754699707, 0.00795750379562378, 0.007962624073028564, 0.007906303882598878, 0.00773529577255249, 0.007738368034362793, 0.007763967990875244, 0.007729152202606201, 0.0077506561279296875, 0.0077281279563903805, 0.007724031925201416, 0.007824384212493896, 0.007721983909606934, 0.007715839862823487, 0.007718912124633789, 0.007739391803741455, 0.00787660789489746, 0.007906303882598878, 0.0078919677734375, 0.007863296031951903, 0.0077281279563903805, 0.007847936153411865, 0.007693312168121338, 0.007734272003173828, 0.007749631881713868, 0.007703551769256592, 0.007707680225372314, 0.007713791847229004, 0.00769532823562622, 0.007730175971984863, 0.007704576015472412, 0.007762944221496582, 0.007703551769256592, 0.007713791847229004, 0.007731200218200684, 0.0077209601402282715, 0.007721983909606934, 0.0076912641525268555, 0.007723008155822754, 0.007797760009765625, 0.007732223987579345, 0.007863296031951903, 0.007836671829223632, 0.007715839862823487, 0.007715839862823487, 0.0076984319686889645, 0.007693312168121338, 0.007702527999877929, 0.007692287921905518, 0.007733248233795166, 0.007749631881713868, 0.007714816093444824, 0.016701440811157226, 0.007828479766845703, 0.0077547521591186525, 0.007716864109039307, 0.007701504230499268, 0.007740416049957275, 0.007717887878417969, 0.007721983909606934, 0.007828479766845703, 0.007741471767425537, 0.007738336086273194, 0.007726079940795898, 0.00785100793838501, 0.007770112037658691, 0.007825407981872558, 0.0077506561279296875, 0.0077506561279296875, 0.007702527999877929, 0.007725056171417236, 0.007788544178009033, 0.007708672046661377, 0.007740416049957275, 0.00773529577255249, 0.0077209601402282715, 0.007741439819335938, 0.007802879810333252, 0.00779366397857666, 0.007837696075439453, 0.007726079940795898, 0.007718912124633789, 0.007726079940795898, 0.007703584194183349, 0.007741407871246338, 0.007717887878417969, 0.007705599784851074, 0.007717887878417969, 0.007699456214904785, 0.007767039775848389, 0.007716864109039307, 0.007705599784851074, 0.007756800174713135, 0.007726079940795898, 0.007723008155822754, 0.00773632001876831, 0.0077333121299743655, 0.007885759830474853, 0.00774348783493042, 0.007778304100036621, 0.007740416049957275, 0.007734335899353027, 0.0077424001693725585, 0.007721983909606934, 0.007734272003173828, 0.007772160053253174, 0.007711743831634522, 0.007724031925201416, 0.007748608112335205, 0.007730175971984863, 0.0077281279563903805, 0.007767039775848389, 0.007715839862823487, 0.007709695816040039, 0.007712768077850342, 0.016694271087646484, 0.007724031925201416, 0.00775270414352417, 0.007763967990875244, 0.0077578239440917966, 0.007700479984283447, 0.0077281279563903805, 0.007669760227203369, 0.007833600044250488, 0.007715839862823487, 0.007715839862823487, 0.007729152202606201, 0.007787519931793213, 0.00773529577255249, 0.007711743831634522, 0.00774451208114624, 0.007697408199310303, 0.007684095859527588, 0.007714816093444824, 0.0076984319686889645, 0.007693312168121338, 0.007684095859527588, 0.007703551769256592, 0.007802879810333252, 0.007802879810333252, 0.007792640209197998, 0.00774348783493042, 0.007737343788146973, 0.007920639991760254, 0.007919616222381591, 0.007796735763549805, 0.007738431930541992, 0.007714752197265625, 0.0077209601402282715, 0.007729152202606201, 0.007764992237091065, 0.007960576057434082, 0.007717887878417969, 0.007692287921905518, 0.007679999828338623, 0.007699456214904785, 0.007741471767425537, 0.007738336086273194, 0.007733248233795166, 0.007748608112335205, 0.007697408199310303, 0.007705599784851074, 0.007739391803741455, 0.007689216136932373, 0.007723008155822754, 0.007702527999877929, 0.007710720062255859, 0.007726079940795898, 0.007693312168121338, 0.007741439819335938, 0.007713791847229004, 0.00773529577255249, 0.0076943359375, 0.007782400131225586, 0.007725056171417236, 0.007685120105743408, 0.007715839862823487, 0.007738368034362793, 0.016563199996948243, 0.0077547521591186525, 0.007727104187011719, 0.007756800174713135, 0.0076984319686889645, 0.00783564805984497, 0.007682047843933106, 0.00773632001876831, 0.0076984319686889645, 0.007762944221496582, 0.007725056171417236, 0.007751679897308349, 0.007710720062255859, 0.007872511863708496, 0.007729152202606201, 0.00774451208114624, 0.007726079940795898, 0.007779327869415284, 0.00779366397857666, 0.007710720062255859, 0.007713791847229004, 0.007693312168121338, 0.007716864109039307, 0.007709695816040039, 0.007707647800445557, 0.007715839862823487, 0.007712768077850342, 0.0076871681213378906, 0.00773529577255249, 0.007710720062255859, 0.007712768077850342, 0.007706624031066894, 0.0076902399063110355, 0.007711743831634522, 0.007706624031066894, 0.007689216136932373, 0.007766016006469726, 0.0076912641525268555, 0.007726079940795898, 0.007915520191192627, 0.00795750379562378, 0.007804927825927735, 0.007710720062255859, 0.007705599784851074, 0.007717887878417969, 0.007700479984283447, 0.0076943359375, 0.008194047927856446, 0.008091648101806641, 0.007954432010650634, 0.00774451208114624, 0.007711743831634522, 0.007692319869995117, 0.007700448036193848, 0.007789567947387695, 0.007700479984283447, 0.007714816093444824, 0.007712768077850342, 0.007706624031066894, 0.007718912124633789, 0.007716864109039307, 0.0077292160987854006, 0.007698368072509765, 0.016657407760620118, 0.007730175971984863, 0.007724031925201416, 0.0078438401222229, 0.00769536018371582, 0.007745535850524903, 0.007696383953094482, 0.007697408199310303, 0.007726079940795898, 0.00785203218460083, 0.00775270414352417, 0.007676928043365478, 0.007704576015472412, 0.00774348783493042, 0.007731200218200684, 0.007701504230499268, 0.007804927825927735, 0.007708672046661377, 0.007710720062255859, 0.007707647800445557, 0.007711743831634522, 0.007700479984283447, 0.007700479984283447, 0.007699456214904785, 0.007712768077850342, 0.007697472095489502, 0.007697343826293945, 0.0076871681213378906, 0.007741471767425537, 0.007927775859832764, 0.00779366397857666, 0.00778547191619873, 0.007738368034362793, 0.00773529577255249, 0.007708672046661377, 0.007841792106628418, 0.007705599784851074, 0.007713791847229004, 0.007704576015472412, 0.007732223987579345, 0.007716928005218506, 0.007747519969940186, 0.007733248233795166, 0.007702527999877929, 0.007742464065551758, 0.007692287921905518, 0.007708672046661377, 0.007714848041534424, 0.007716832160949707, 0.007709695816040039, 0.007716864109039307, 0.0077209601402282715, 0.007709695816040039, 0.0077506561279296875, 0.0077578239440917966, 0.007712768077850342, 0.007811071872711181, 0.007751679897308349, 0.007782400131225586, 0.007685120105743408, 0.007799808025360107, 0.007716864109039307, 0.007768064022064209, 0.016578559875488282, 0.0077199358940124516, 0.007724031925201416, 0.007730175971984863, 0.007751679897308349, 0.007838719844818116, 0.007721983909606934, 0.007738368034362793, 0.007946239948272706, 0.007903232097625732, 0.007706624031066894, 0.007726079940795898, 0.007748608112335205, 0.007771135807037354, 0.007941120147705078, 0.00794220781326294, 0.007843776226043701, 0.007714816093444824, 0.007815167903900147, 0.007742464065551758, 0.007722015857696533, 0.007703519821166992, 0.007739391803741455, 0.007772160053253174, 0.007702527999877929, 0.007701504230499268, 0.007732223987579345, 0.007699456214904785, 0.008051775932312011, 0.008126399993896484, 0.007746560096740723, 0.0077281279563903805, 0.007717887878417969, 0.0076943359375, 0.0076871681213378906, 0.007692287921905518, 0.007706624031066894, 0.007808000087738037, 0.0077209601402282715, 0.007701504230499268, 0.007711743831634522, 0.0078438401222229, 0.007739391803741455, 0.007706624031066894, 0.007716864109039307, 0.007707647800445557, 0.007768064022064209, 0.007886847972869874, 0.007692287921905518, 0.007712768077850342, 0.007726079940795898, 0.007709695816040039, 0.007706624031066894, 0.00773529577255249, 0.007704576015472412, 0.00773529577255249, 0.007718912124633789, 0.007711743831634522, 0.007676928043365478, 0.0076871681213378906, 0.007708703994750977, 0.007705567836761474, 0.007707647800445557, 0.016647167205810547, 0.007724031925201416, 0.007713791847229004, 0.007688191890716553, 0.007745600223541259, 0.007724991798400879, 0.007704576015472412, 0.007768064022064209, 0.007717887878417969, 0.007707647800445557, 0.007766016006469726, 0.007725056171417236, 0.00769536018371582, 0.00769536018371582, 0.007714816093444824, 0.007707647800445557, 0.007798783779144287, 0.00790118408203125, 0.00781004810333252, 0.0076574721336364745, 0.007778304100036621, 0.007678976058959961, 0.007707647800445557, 0.0077209601402282715, 0.007697408199310303, 0.007703551769256592, 0.0076902399063110355, 0.007699456214904785, 0.007769087791442871, 0.0077844481468200685, 0.007714816093444824, 0.007693312168121338, 0.0077209601402282715, 0.007701504230499268, 0.0077578239440917966, 0.007845888137817383, 0.007723008155822754, 0.007715839862823487, 0.007715839862823487, 0.007713791847229004, 0.0076943359375, 0.007692287921905518, 0.007703551769256592, 0.0076943359375, 0.007688191890716553, 0.007770112037658691, 0.0076912641525268555, 0.007683072090148926, 0.007733248233795166, 0.0076984319686889645, 0.007782400131225586, 0.007789567947387695, 0.007717919826507568, 0.007701471805572509, 0.007716864109039307, 0.007721983909606934, 0.007721983909606934, 0.007702527999877929, 0.0077547521591186525, 0.007731200218200684, 0.0076943359375, 0.007699456214904785, 0.007689216136932373, 0.016616479873657226, 0.007721951961517334, 0.0076984319686889645, 0.007682079792022705, 0.0077536959648132325, 0.007910399913787843, 0.0077199358940124516, 0.007729152202606201, 0.007723008155822754, 0.007775231838226319, 0.007875584125518798, 0.007718912124633789, 0.007697408199310303, 0.007702527999877929, 0.007699456214904785, 0.007777279853820801, 0.008135680198669434, 0.007952383995056152, 0.007699456214904785, 0.007688191890716553, 0.0076912641525268555, 0.007688191890716553, 0.007723008155822754, 0.007730175971984863, 0.007710720062255859, 0.00773529577255249, 0.007718912124633789, 0.0076912641525268555, 0.007692319869995117, 0.0076973757743835445, 0.007742464065551758, 0.007873536109924317, 0.007718912124633789, 0.008615936279296875, 0.007956480026245117, 0.007966720104217529, 0.007947264194488525, 0.007872511863708496, 0.0077608962059021, 0.007699456214904785, 0.007715839862823487, 0.00769536018371582, 0.007725056171417236, 0.007732223987579345, 0.007871488094329833, 0.007798783779144287, 0.0077209601402282715, 0.007711743831634522, 0.007717887878417969, 0.0077281279563903805, 0.007717887878417969, 0.007701504230499268, 0.007701504230499268, 0.007703551769256592, 0.007751679897308349, 0.007730175971984863, 0.007711743831634522, 0.0076984319686889645, 0.007762944221496582, 0.007710720062255859, 0.00773632001876831, 0.007712800025939942, 0.007716832160949707, 0.01661030387878418, 0.007712768077850342, 0.007726079940795898, 0.007716864109039307, 0.007732223987579345, 0.007729152202606201, 0.007705599784851074, 0.007732223987579345, 0.007708672046661377, 0.007714816093444824, 0.007675903797149658, 0.007910399913787843, 0.007725056171417236, 0.007729152202606201, 0.007730175971984863, 0.007763967990875244, 0.007731200218200684, 0.007730175971984863, 0.0076871681213378906, 0.007688191890716553, 0.007684095859527588, 0.007711743831634522, 0.0076687359809875484, 0.007706624031066894, 0.007774208068847656, 0.007678976058959961, 0.007700479984283447, 0.0076902399063110355, 0.007696447849273681, 0.007699391841888428, 0.007823359966278077, 0.007854080200195313, 0.007693312168121338, 0.007725056171417236, 0.007701504230499268, 0.00783564805984497, 0.007677951812744141, 0.007689216136932373, 0.007685120105743408, 0.007682047843933106, 0.007734272003173828, 0.007696383953094482, 0.007682047843933106, 0.007710720062255859, 0.007696383953094482, 0.007702527999877929, 0.0076984319686889645, 0.00775270414352417, 0.007681024074554443, 0.007682047843933106, 0.007686143875122071, 0.007697408199310303, 0.0077199358940124516, 0.007731200218200684, 0.007727104187011719, 0.007754784107208252, 0.0077209281921386715, 0.007737343788146973, 0.007764992237091065, 0.007710720062255859, 0.007709695816040039, 0.007701504230499268, 0.007770112037658691, 0.016547840118408205, 0.007730175971984863, 0.007739391803741455, 0.007730175971984863, 0.007729152202606201, 0.00789299201965332, 0.0077619199752807615, 0.007703551769256592, 0.007711743831634522, 0.007745535850524903, 0.007731200218200684, 0.0078438401222229, 0.007710720062255859, 0.0077619199752807615, 0.007710720062255859, 0.007699456214904785, 0.0077281279563903805, 0.008186944007873535, 0.008094655990600585, 0.007806975841522217, 0.007730175971984863, 0.00773529577255249, 0.007699456214904785, 0.0077199358940124516, 0.007721983909606934, 0.007737343788146973, 0.007670783996582031, 0.007726079940795898, 0.007745535850524903, 0.007716864109039307, 0.007806975841522217, 0.007882751941680909, 0.007704576015472412, 0.007703551769256592, 0.0077209601402282715, 0.007707647800445557, 0.007676928043365478, 0.008251456260681153, 0.008133567810058594, 0.007824384212493896, 0.007700479984283447, 0.0076984319686889645, 0.0077209601402282715, 0.007747583866119385, 0.007709695816040039, 0.007673855781555176, 0.007715839862823487, 0.007702527999877929, 0.007711743831634522, 0.008233983993530274, 0.007969791889190675, 0.007902207851409913, 0.00793497610092163, 0.007878655910491944, 0.007746560096740723, 0.007704576015472412, 0.007705599784851074, 0.007717887878417969, 0.007718912124633789, 0.007718944072723389, 0.0077291841506958005, 0.00770246410369873, 0.007727104187011719, 0.01676288032531738, 0.007725056171417236, 0.007721983909606934, 0.007742464065551758, 0.00769536018371582, 0.007717887878417969, 0.007709760189056397, 0.007786431789398193, 0.007712768077850342, 0.007718912124633789, 0.007725056171417236, 0.007823359966278077, 0.007729152202606201, 0.007708672046661377, 0.007699456214904785, 0.007780352115631104, 0.007726079940795898, 0.007726079940795898, 0.007740416049957275, 0.007729152202606201, 0.007700479984283447, 0.007715839862823487, 0.007773183822631836, 0.007751679897308349, 0.0077199358940124516, 0.007716864109039307, 0.007704576015472412, 0.007727104187011719, 0.007710720062255859, 0.007731200218200684, 0.007723008155822754, 0.007889920234680176, 0.00790937614440918, 0.008008735656738281, 0.00790012788772583, 0.007946239948272706, 0.00785100793838501, 0.007679999828338623, 0.007686143875122071, 0.007853055953979492, 0.00769536018371582, 0.007714816093444824, 0.007721983909606934, 0.007976960182189942, 0.007935999870300293, 0.007832575798034667, 0.007708672046661377, 0.007726079940795898, 0.007707647800445557, 0.007676928043365478, 0.007708672046661377, 0.00773632001876831, 0.007734272003173828, 0.007734272003173828, 0.007725056171417236, 0.007711743831634522, 0.00774451208114624, 0.007724031925201416, 0.00780185604095459, 0.007727104187011719, 0.0077281279563903805, 0.007778304100036621, 0.007770112037658691, 0.01660211181640625, 0.007740416049957275, 0.007758848190307617, 0.007717887878417969, 0.0076984319686889645, 0.007717887878417969, 0.007723008155822754, 0.007696383953094482, 0.00782643222808838, 0.0076902399063110355, 0.007689216136932373, 0.007712768077850342, 0.00794316816329956, 0.007795711994171142, 0.007724031925201416, 0.007756800174713135, 0.007738368034362793, 0.007890944004058837, 0.007928832054138184, 0.007711743831634522, 0.007721983909606934, 0.007827455997467042, 0.007703551769256592, 0.007713791847229004, 0.007709695816040039, 0.007723008155822754, 0.007705599784851074, 0.007701504230499268, 0.00779366397857666, 0.007730175971984863, 0.007710720062255859, 0.007721983909606934, 0.00773632001876831, 0.007712768077850342, 0.007732223987579345, 0.007749695777893067, 0.007699391841888428, 0.007712768077850342, 0.00769536018371582, 0.007714816093444824, 0.007675903797149658, 0.007679999828338623, 0.007706624031066894, 0.007713791847229004, 0.007707647800445557, 0.007725056171417236, 0.0077199358940124516, 0.0077199358940124516, 0.007711743831634522, 0.007701504230499268, 0.008041472434997558, 0.007925759792327881, 0.007964672088623047, 0.008812543869018554, 0.00818892765045166, 0.007971839904785156, 0.007931903839111328, 0.00797388792037964, 0.007821311950683594, 0.00773632001876831, 0.007737343788146973, 0.0076984319686889645, 0.0077506561279296875, 0.016773120880126953, 0.007713791847229004, 0.007703551769256592, 0.007712768077850342, 0.0077199358940124516, 0.007724031925201416, 0.007887872219085693, 0.007883776187896728, 0.007776256084442139, 0.0076943359375, 0.007706655979156494, 0.007736288070678711, 0.007830527782440186, 0.0077619199752807615, 0.0077281279563903805, 0.007740416049957275, 0.007749631881713868, 0.007731200218200684, 0.007759871959686279, 0.007758848190307617, 0.007709695816040039, 0.0077209601402282715, 0.007706624031066894, 0.007707647800445557, 0.007697408199310303, 0.007702527999877929, 0.0077209601402282715, 0.00769536018371582, 0.007708672046661377, 0.007721983909606934, 0.008154111862182617, 0.008143872261047362, 0.007910399913787843, 0.007795711994171142, 0.007726079940795898, 0.007689280033111572, 0.007698368072509765, 0.007763967990875244, 0.007821311950683594, 0.007713791847229004, 0.007711743831634522, 0.007733248233795166, 0.007748608112335205, 0.007656447887420655, 0.00775270414352417, 0.007725056171417236, 0.0077281279563903805, 0.007710720062255859, 0.007682047843933106, 0.007711743831634522, 0.007732223987579345, 0.007700479984283447, 0.007749631881713868, 0.00773632001876831, 0.007706624031066894, 0.007697408199310303, 0.00774348783493042, 0.00773632001876831, 0.007778304100036621, 0.00773632001876831, 0.007763967990875244, 0.007724031925201416, 0.007725056171417236, 0.01663488006591797, 0.0077281279563903805, 0.0077292160987854006, 0.00771782398223877, 0.007703551769256592, 0.007724031925201416, 0.007721983909606934, 0.007717887878417969, 0.007869440078735352, 0.007717887878417969, 0.007703551769256592, 0.007697408199310303, 0.00781824016571045, 0.007864319801330566, 0.007912447929382324, 0.007799808025360107, 0.007717887878417969, 0.007748608112335205, 0.007753727912902832, 0.007782400131225586, 0.007894015789031983, 0.007772160053253174, 0.007773183822631836, 0.007839744091033935, 0.007825407981872558, 0.007860223770141601, 0.007705599784851074, 0.007798783779144287, 0.007741439819335938, 0.007748608112335205, 0.007869440078735352, 0.0077209601402282715, 0.007725056171417236, 0.007706624031066894, 0.0076984319686889645, 0.007726079940795898, 0.007718912124633789, 0.007711743831634522, 0.0077547521591186525, 0.0077281279563903805, 0.007716864109039307, 0.0076943359375, 0.007706624031066894, 0.007708735942840576, 0.008207296371459961, 0.00828006362915039, 0.008375295639038086, 0.008964159965515136, 0.008193984031677246, 0.008244223594665527, 0.008076288223266602, 0.008083456039428711, 0.008111104011535645, 0.008119296073913575, 0.007963647842407226, 0.007763967990875244, 0.007849984169006348, 0.007905344009399413, 0.00797382402420044, 0.007958528041839599, 0.007767039775848389, 0.007678976058959961, 0.007705599784851074, 0.016735231399536133, 0.007749631881713868, 0.007739391803741455, 0.007732223987579345, 0.007741439819335938, 0.007729152202606201, 0.007734272003173828, 0.007770112037658691, 0.007745535850524903, 0.007739391803741455, 0.0076912641525268555, 0.007707680225372314, 0.0077803201675415035, 0.007710720062255859, 0.007718912124633789, 0.00785920000076294, 0.007742464065551758, 0.007711743831634522, 0.007757855892181397, 0.007923679828643799, 0.00797388792037964, 0.007967743873596191, 0.007703551769256592, 0.007781375885009765, 0.007738368034362793, 0.0077199358940124516, 0.0077199358940124516, 0.00773632001876831, 0.007770112037658691, 0.007689216136932373, 0.007716864109039307, 0.00784281587600708, 0.007911424160003662, 0.007947264194488525, 0.007904255867004394, 0.00787766408920288, 0.007705567836761474, 0.007828479766845703, 0.007711743831634522, 0.007731200218200684, 0.007724031925201416, 0.007885824203491211, 0.0077281279563903805, 0.007792640209197998, 0.00790937614440918, 0.007910399913787843, 0.00787660789489746, 0.007709695816040039, 0.007669760227203369, 0.007706655979156494, 0.007722976207733154, 0.007747583866119385, 0.009075712203979493, 0.0091146240234375, 0.008141823768615723, 0.007981056213378907, 0.007968768119812012, 0.007946239948272706, 0.008045568466186523, 0.007699456214904785, 0.00791756820678711, 0.00808243179321289, 0.007932928085327149, 0.01699430465698242, 0.007724031925201416, 0.007711743831634522, 0.007674880027770996, 0.007733248233795166, 0.007865344047546387, 0.008018943786621094, 0.007984127998352051, 0.007921664237976075, 0.0078919677734375, 0.007894015789031983, 0.007947264194488525, 0.0077209601402282715, 0.007711743831634522, 0.007716864109039307, 0.007726079940795898, 0.008037376403808593, 0.008160256385803222, 0.008114175796508789, 0.007946239948272706, 0.007955455780029297, 0.007880703926086426, 0.007709695816040039, 0.0076902399063110355, 0.007707647800445557, 0.007819263935089112, 0.0077066879272460935, 0.0077127041816711425, 0.007713791847229004, 0.007715839862823487, 0.007741439819335938, 0.007872511863708496, 0.008002559661865234, 0.007911424160003662, 0.007808000087738037, 0.007950335979461669, 0.007971839904785156, 0.007889920234680176, 0.007895040035247802, 0.007922688007354736, 0.007844863891601562, 0.007697408199310303, 0.007679999828338623, 0.007716864109039307, 0.007702527999877929, 0.0077547521591186525, 0.007723008155822754, 0.007700479984283447, 0.0076943359375, 0.007708672046661377, 0.00769536018371582, 0.007707647800445557, 0.0076902399063110355, 0.0076943359375, 0.007699456214904785, 0.007935999870300293, 0.007902207851409913, 0.007918591976165772, 0.00793398380279541, 0.007732192039489746, 0.007676928043365478, 0.007679999828338623, 0.007780352115631104, 0.016642080307006837, 0.007711711883544922, 0.007697408199310303, 0.007676928043365478, 0.007706624031066894, 0.007731200218200684, 0.007718976020812988, 0.00803116798400879, 0.007894015789031983, 0.007731200218200684, 0.007890944004058837, 0.008027135848999023, 0.008517631530761719, 0.007713791847229004, 0.007714816093444824, 0.00786947202682495, 0.007754720211029052, 0.007733248233795166, 0.007702527999877929, 0.007700479984283447, 0.007743519783020019, 0.007692255973815918, 0.007667712211608887, 0.007686143875122071, 0.007748608112335205, 0.007677951812744141, 0.007717887878417969, 0.007771135807037354, 0.007829504013061523, 0.007766016006469726, 0.00800153636932373, 0.007898111820220948, 0.007880703926086426, 0.007862271785736084, 0.007678016185760498, 0.007819200038909912, 0.007671840190887451, 0.007682015895843506, 0.007673855781555176, 0.007704576015472412, 0.0076871681213378906, 0.007699456214904785, 0.007682047843933106, 0.007710720062255859, 0.007718944072723389, 0.0076902079582214355, 0.007753727912902832, 0.007715839862823487, 0.007767039775848389, 0.007705599784851074, 0.007976960182189942, 0.007907328128814697, 0.007895040035247802, 0.007870463848114014, 0.008042495727539062, 0.007890975952148438, 0.007929823875427245, 0.007815167903900147, 0.008281087875366211, 0.007686143875122071, 0.007705599784851074, 0.007724031925201416, 0.00773632001876831, 0.01665023994445801, 0.0076984319686889645, 0.007708672046661377, 0.007708672046661377, 0.007717887878417969, 0.007837696075439453, 0.007702527999877929, 0.00774451208114624, 0.007753727912902832, 0.007738368034362793, 0.007723008155822754, 0.007798783779144287, 0.007696383953094482, 0.007700479984283447, 0.007701504230499268, 0.007718912124633789, 0.007715839862823487, 0.007762944221496582, 0.00785203218460083, 0.007715839862823487, 0.007769087791442871, 0.007730175971984863, 0.007700479984283447, 0.0077199358940124516, 0.007688191890716553, 0.007705599784851074, 0.0076943359375, 0.007681024074554443, 0.0076984319686889645, 0.007692287921905518, 0.007710720062255859, 0.007753727912902832, 0.00773529577255249, 0.007738368034362793, 0.007740416049957275, 0.007705599784851074, 0.0077281279563903805, 0.007871488094329833, 0.007733248233795166, 0.007703551769256592, 0.007703551769256592, 0.007701504230499268, 0.007677951812744141, 0.007689216136932373, 0.007725056171417236, 0.007723008155822754, 0.007781375885009765, 0.007701504230499268, 0.007701504230499268, 0.00852684783935547, 0.0082227201461792, 0.007988224029541016, 0.00809881591796875, 0.007950335979461669, 0.007958528041839599, 0.007836671829223632, 0.007874559879302979, 0.007763967990875244, 0.007967743873596191, 0.0078438401222229, 0.007737343788146973, 0.007927807807922363, 0.00799948787689209, 0.017304576873779298, 0.0077199358940124516, 0.007718912124633789, 0.007681024074554443, 0.0076871681213378906, 0.007727104187011719, 0.0076984319686889645, 0.007781375885009765, 0.007724031925201416, 0.007789567947387695, 0.007988224029541016, 0.008054783821105957, 0.007925759792327881, 0.00790937614440918, 0.00774348783493042, 0.007699456214904785, 0.00774348783493042, 0.007709695816040039, 0.007708672046661377, 0.007677951812744141, 0.00774348783493042, 0.007771135807037354, 0.007776256084442139, 0.007746560096740723, 0.00773529577255249, 0.007714816093444824, 0.007729152202606201, 0.00793497610092163, 0.007860223770141601, 0.007898111820220948, 0.007904255867004394, 0.007738368034362793, 0.00795244789123535, 0.007912415981292725, 0.0076861119270324706, 0.00797388792037964, 0.007954432010650634, 0.007786496162414551, 0.007844863891601562, 0.007825407981872558, 0.007705599784851074, 0.007705599784851074, 0.007717887878417969, 0.00774451208114624, 0.007718912124633789, 0.0076912641525268555, 0.00773632001876831, 0.007782400131225586, 0.007776256084442139, 0.007937024116516114, 0.007910399913787843, 0.007729152202606201, 0.00830668830871582, 0.00813158416748047, 0.007849984169006348, 0.007703551769256592, 0.007739391803741455, 0.007732223987579345, 0.008006655693054199, 0.007778304100036621, 0.00773632001876831, 0.0076984319686889645, 0.007703551769256592, 0.016625728607177735, 0.007673791885375977, 0.00773529577255249, 0.0076912641525268555, 0.007684095859527588, 0.007864319801330566, 0.007684095859527588, 0.007782400131225586, 0.008040448188781739, 0.007699456214904785, 0.007816192150115966, 0.00787660789489746, 0.007726079940795898, 0.0076912641525268555, 0.007709695816040039, 0.007703551769256592, 0.007727104187011719, 0.007713791847229004, 0.007734272003173828, 0.007740416049957275, 0.007954432010650634, 0.008110079765319824, 0.008164352416992187, 0.008158207893371582, 0.008134655952453614, 0.008079360008239746, 0.008034303665161132, 0.008069120407104492, 0.008080384254455567, 0.008045568466186523, 0.008086527824401855, 0.008064000129699708, 0.008039423942565918, 0.008177663803100586, 0.008115232467651367, 0.008054752349853516, 0.008057855606079101, 0.00807423973083496, 0.008069120407104492, 0.00808243179321289, 0.008110079765319824, 0.008058879852294922, 0.008219648361206054, 0.008138751983642578, 0.008049663543701171, 0.008075263977050781, 0.008070143699645996, 0.008043519973754883, 0.008030207633972167, 0.008031231880187988, 0.008062975883483887, 0.008071167945861817, 0.008064000129699708, 0.008061951637268066, 0.00809881591796875, 0.008316927909851075, 0.008250368118286134, 0.00838963222503662, 0.008570879936218261, 0.008749055862426757, 0.008308735847473145, 0.008157183647155761, 0.0081080961227417]",tokens/s,126.06364233490866,,,,,,,, -4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -31753,7 +31753,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -32519,7 +32519,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemm-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemm-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -34997,7 +34997,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -35509,7 +35509,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -35584,7 +35584,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -36010,7 +36010,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -36219,7 +36219,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -36944,7 +36944,7 @@ ValueError: The repository for tiiuae/falcon-7b contains custom code which must Please pass the argument `trust_remote_code=True` to allow custom code to be run. ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -37466,7 +37466,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -38143,7 +38143,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPT2LMHeadModel 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"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -38220,7 +38220,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -38971,7 +38971,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -39519,7 +39519,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -39590,7 +39590,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -40141,7 +40141,7 @@ ChildProcessError: Traceback (most recent call last): AssertionError: AWQ kernels could not be loaded. Please install them from https://github.com/casper-hansen/AutoAWQ_kernels ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -40374,7 +40374,7 @@ ChildProcessError: Traceback (most recent call last): AssertionError: AWQ kernels could not be loaded. Please install them from https://github.com/casper-hansen/AutoAWQ_kernels ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -41207,7 +41207,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: FalconForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -41801,7 +41801,7 @@ ChildProcessError: Traceback (most recent call last): AssertionError: AWQ kernels could not be loaded. Please install them from https://github.com/casper-hansen/AutoAWQ_kernels ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -42566,7 +42566,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPT2LMHeadModel 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-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -42667,7 +42667,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -43436,7 +43436,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -43972,7 +43972,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -44047,7 +44047,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -44509,7 +44509,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -44724,7 +44724,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -45467,7 +45467,7 @@ ValueError: The repository for tiiuae/falcon-7b contains custom code which must Please pass the argument `trust_remote_code=True` to allow custom code to be run. ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -45973,7 +45973,7 @@ ChildProcessError: Traceback (most recent call last): NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -46670,7 +46670,7 @@ NameError: name 'exlv2_ext' is not defined ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 4bit-awq-exllama-v2-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.0,,0.30.1,,,,1.19.2,,,,0.11.1,,,MB,1235.7632,1005.060096,0.0,358.612992,318.913024,s,20,0.1788675851821899,0.008943379259109496,0.00026419798811655123,0.00887070369720459,0.00916225633621216,0.009274708795547485,0.009786717424392698,"[0.009914719581604003, 0.008858528137207031, 0.008864447593688965, 0.008830816268920898, 0.008876959800720214, 0.009153504371643067, 0.008886079788208007, 0.008735072135925294, 0.009109472274780274, 0.008775872230529785, 0.008850208282470703, 0.00901251220703125, 0.00899942398071289, 0.008742527961730957, 0.009241024017333984, 0.008729375839233399, 0.00890329647064209, 0.008699104309082032, 0.008877599716186523, 0.008807040214538575]",tokens/s,28624.526879953683,kWh,1.0405706355691948e-07,5.701826505582485e-08,2.244287160088168e-07,3.8550404462156115e-07,tokens/kWh,664065665.643815,MB,1235.7632,1005.060096,0.0,358.612992,328.809472,s,20,10.08869351196289,0.5044346755981446,0.005335005585423021,0.503564468383789,0.5124426330566406,0.5136576141357422,0.5166526654052734,"[0.5010412292480468, 0.5011974487304688, 0.4979539489746094, 0.5063039855957031, 0.5047576599121094, 0.5012839050292969, 0.49773388671875, 0.5053358764648438, 0.5038833312988281, 0.51085546875, 0.5134605712890625, 0.5174014282226562, 0.50324560546875, 0.5123295288085937, 0.50199462890625, 0.5043636169433594, 0.4986883239746094, 0.5073371276855468, 0.49996554565429685, 0.49956039428710936]",tokens/s,124.89228644976944,kWh,6.0475178527528624e-06,3.3125900223381058e-06,1.029085747399049e-05,1.9650965349081454e-05,tokens/kWh,3205949.3709780937,,s,1259,10.248980564594259,0.008140572330892985,0.0011351723397017978,0.007914495944976807,0.00819527702331543,0.008268185138702392,0.017085111923217773,"[0.008740960121154785, 0.008759200096130371, 0.00870195198059082, 0.009260031700134277, 0.008202239990234375, 0.00787660789489746, 0.00785203218460083, 0.007820288181304931, 0.00780083179473877, 0.007929855823516846, 0.007827455997467042, 0.007792640209197998, 0.007823359966278077, 0.007840767860412597, 0.007830527782440186, 0.007824384212493896, 0.007812096118927002, 0.007836671829223632, 0.007806975841522217, 0.007794688224792481, 0.007799808025360107, 0.007849984169006348, 0.007786496162414551, 0.007824384212493896, 0.007945216178894043, 0.007836671829223632, 0.007806975841522217, 0.007813119888305664, 0.008041472434997558, 0.007838719844818116, 0.007780352115631104, 0.007794688224792481, 0.007814144134521485, 0.007823359966278077, 0.007830527782440186, 0.00779366397857666, 0.007840767860412597, 0.00790937614440918, 0.008236031532287597, 0.00806604766845703, 0.008050687789916992, 0.008067071914672852, 0.00800972843170166, 0.007974912166595459, 0.00786636781692505, 0.007839744091033935, 0.00782643222808838, 0.007836671829223632, 0.007819263935089112, 0.007831552028656007, 0.007787519931793213, 0.007797760009765625, 0.007813119888305664, 0.007910399913787843, 0.007830527782440186, 0.00781824016571045, 0.007817215919494629, 0.007847936153411865, 0.007822336196899414, 0.00779366397857666, 0.007809088230133056, 0.007972799777984619, 0.017083391189575196, 0.007821311950683594, 0.007833600044250488, 0.007803904056549072, 0.008130559921264649, 0.008444928169250488, 0.008322048187255859, 0.008384511947631837, 0.008393728256225585, 0.008424448013305665, 0.00838144016265869, 0.008119296073913575, 0.008051712036132813, 0.007872511863708496, 0.007865344047546387, 0.007855103969573975, 0.007837696075439453, 0.007867392063140868, 0.007815167903900147, 0.007829504013061523, 0.007813119888305664, 0.007836671829223632, 0.007914495944976807, 0.007887872219085693, 0.00783564805984497, 0.00791756820678711, 0.007890944004058837, 0.007857151985168457, 0.007817215919494629, 0.007907328128814697, 0.007833600044250488, 0.00782643222808838, 0.007804927825927735, 0.007836671829223632, 0.007812096118927002, 0.00781824016571045, 0.007804927825927735, 0.007844863891601562, 0.007870463848114014, 0.00782643222808838, 0.00781004810333252, 0.008635392189025879, 0.008225791931152344, 0.008044544219970704, 0.007888895988464355, 0.007927807807922363, 0.00791756820678711, 0.007895040035247802, 0.007888895988464355, 0.007903232097625732, 0.007906303882598878, 0.007899136066436767, 0.008059904098510743, 0.007930880069732665, 0.00791756820678711, 0.007890944004058837, 0.0078919677734375, 0.007902207851409913, 0.007917632102966308, 0.007903168201446533, 0.007907328128814697, 0.007885824203491211, 0.007904255867004394, 0.017123327255249024, 0.007914495944976807, 0.007899136066436767, 0.007911424160003662, 0.00787660789489746, 0.007897088050842285, 0.007896063804626464, 0.007951392173767089, 0.007910367965698242, 0.00790937614440918, 0.007902207851409913, 0.007904255867004394, 0.007924736022949219, 0.00791756820678711, 0.007886847972869874, 0.007912447929382324, 0.007911424160003662, 0.007878655910491944, 0.007873536109924317, 0.007907328128814697, 0.007894015789031983, 0.00790118408203125, 0.00790118408203125, 0.007882751941680909, 0.007897088050842285, 0.00790937614440918, 0.00790015983581543, 0.007895040035247802, 0.007877632141113282, 0.007913472175598145, 0.007868415832519531, 0.007877632141113282, 0.007882751941680909, 0.007887872219085693, 0.007899136066436767, 0.007874559879302979, 0.00788479995727539, 0.007873536109924317, 0.007944191932678223, 0.007880703926086426, 0.007899136066436767, 0.007952383995056152, 0.007964672088623047, 0.007881728172302246, 0.007886847972869874, 0.007874559879302979, 0.00789299201965332, 0.007895040035247802, 0.00787660789489746, 0.007916543960571289, 0.007904255867004394, 0.007903232097625732, 0.007869440078735352, 0.007903232097625732, 0.007887872219085693, 0.00796675205230713, 0.007912415981292725, 0.00786636781692505, 0.00789299201965332, 0.007875584125518798, 0.007924767971038818, 0.007874527931213378, 0.0078919677734375, 0.017052671432495118, 0.007898111820220948, 0.007918591976165772, 0.007899136066436767, 0.00785923194885254, 0.007882719993591308, 0.007894015789031983, 0.007855103969573975, 0.00787769603729248, 0.007874495983123779, 0.007897088050842285, 0.007960576057434082, 0.007932928085327149, 0.007918591976165772, 0.007887872219085693, 0.007918591976165772, 0.008210432052612305, 0.007874559879302979, 0.007902207851409913, 0.00789299201965332, 0.007839776039123536, 0.007864287853240967, 0.007882751941680909, 0.007897088050842285, 0.007990272045135497, 0.007927807807922363, 0.007896063804626464, 0.007938047885894776, 0.007918591976165772, 0.008033280372619628, 0.008353792190551757, 0.008071167945861817, 0.007939072132110595, 0.007919616222381591, 0.007890944004058837, 0.007920639991760254, 0.008637439727783204, 0.00832921600341797, 0.008156160354614257, 0.00827187156677246, 0.008194047927856446, 0.008177663803100586, 0.008159232139587403, 0.008148032188415527, 0.00825443172454834, 0.008152031898498535, 0.008161279678344726, 0.008157183647155761, 0.008122367858886719, 0.008179712295532226, 0.008135680198669434, 0.008156160354614257, 0.008168448448181152, 0.008136704444885253, 0.008164352416992187, 0.008143872261047362, 0.008163328170776368, 0.008181759834289551, 0.0082227201461792, 0.008193023681640625, 0.007928832054138184, 0.00785920000076294, 0.007887872219085693, 0.017110015869140623, 0.007940095901489258, 0.007927807807922363, 0.007938047885894776, 0.007880703926086426, 0.007928832054138184, 0.007878655910491944, 0.007922688007354736, 0.007928832054138184, 0.007921664237976075, 0.007896063804626464, 0.007921728134155273, 0.007894976139068604, 0.007971839904785156, 0.007922688007354736, 0.007927807807922363, 0.007964672088623047, 0.00813158416748047, 0.008223744392395019, 0.008168448448181152, 0.008158207893371582, 0.008228863716125488, 0.008165375709533691, 0.008120320320129394, 0.00812342357635498, 0.008126432418823243, 0.008164352416992187, 0.008128512382507324, 0.008146944046020508, 0.00789299201965332, 0.007964672088623047, 0.007932928085327149, 0.00788479995727539, 0.007954432010650634, 0.007886847972869874, 0.007877632141113282, 0.007887872219085693, 0.007885824203491211, 0.00790835189819336, 0.00788479995727539, 0.00787660789489746, 0.007916543960571289, 0.007880703926086426, 0.007913472175598145, 0.007856128215789794, 0.007871488094329833, 0.007870463848114014, 0.007887872219085693, 0.007919616222381591, 0.007886847972869874, 0.007913472175598145, 0.008102911949157715, 0.008297472000122071, 0.008225824356079102, 0.008167391777038574, 0.008201215744018555, 0.008158207893371582, 0.008196096420288086, 0.008138751983642578, 0.008178751945495605, 0.008141759872436524, 0.008168448448181152, 0.008168448448181152, 0.017675264358520508, 0.008162303924560547, 0.008164352416992187, 0.008168448448181152, 0.007974912166595459, 0.007903232097625732, 0.007895040035247802, 0.007900191783905029, 0.007922656059265136, 0.007906303882598878, 0.00795136022567749, 0.007872511863708496, 0.008233983993530274, 0.008203264236450195, 0.008174592018127442, 0.007968768119812012, 0.007970816135406494, 0.00800767993927002, 0.007923711776733398, 0.00791756820678711, 0.007895040035247802, 0.007906303882598878, 0.007885824203491211, 0.007902207851409913, 0.007950335979461669, 0.007906303882598878, 0.00800153636932373, 0.008085503578186035, 0.007935999870300293, 0.00807423973083496, 0.007925759792327881, 0.007998464107513427, 0.007912447929382324, 0.007880703926086426, 0.007910431861877442, 0.007928800106048585, 0.007922688007354736, 0.00797388792037964, 0.007903232097625732, 0.007905280113220215, 0.007947264194488525, 0.007898111820220948, 0.007899136066436767, 0.00788479995727539, 0.007897088050842285, 0.007875584125518798, 0.007867392063140868, 0.00787660789489746, 0.007890944004058837, 0.007881728172302246, 0.007879680156707763, 0.007906303882598878, 0.007890944004058837, 0.007894015789031983, 0.0078919677734375, 0.00790835189819336, 0.007898111820220948, 0.007895040035247802, 0.007961631774902344, 0.007899104118347168, 0.00791756820678711, 0.007910399913787843, 0.008005632400512695, 0.017169408798217774, 0.0079267840385437, 0.00794316816329956, 0.007887872219085693, 0.007921664237976075, 0.007984127998352051, 0.00790015983581543, 0.007987199783325195, 0.007899136066436767, 0.007883776187896728, 0.007895040035247802, 0.007885824203491211, 0.007896063804626464, 0.007905344009399413, 0.007891903877258301, 0.007874559879302979, 0.007882751941680909, 0.007895040035247802, 0.007906303882598878, 0.007896063804626464, 0.007887872219085693, 0.007865344047546387, 0.007896063804626464, 0.007923711776733398, 0.007896063804626464, 0.007872511863708496, 0.007886847972869874, 0.007873536109924317, 0.00788479995727539, 0.00788479995727539, 0.007883776187896728, 0.007895040035247802, 0.007899136066436767, 0.007889920234680176, 0.007888895988464355, 0.007883776187896728, 0.007887872219085693, 0.007912447929382324, 0.00789299201965332, 0.007896063804626464, 0.007897088050842285, 0.00789299201965332, 0.007904255867004394, 0.007873536109924317, 0.0078919677734375, 0.007883776187896728, 0.007934016227722168, 0.007873472213745117, 0.007871488094329833, 0.007897088050842285, 0.007870463848114014, 0.007869440078735352, 0.007874559879302979, 0.007904255867004394, 0.007865344047546387, 0.00790835189819336, 0.007881728172302246, 0.007898111820220948, 0.007878655910491944, 0.007904255867004394, 0.007894015789031983, 0.007880703926086426, 0.007881760120391846, 0.016962528228759766, 0.00789299201965332, 0.007874559879302979, 0.007890944004058837, 0.0078919677734375, 0.007897088050842285, 0.007905280113220215, 0.007899136066436767, 0.007896063804626464, 0.0078919677734375, 0.007912447929382324, 0.007894015789031983, 0.007956480026245117, 0.007898176193237304, 0.007912384033203126, 0.007885824203491211, 0.007932928085327149, 0.007882751941680909, 0.007877632141113282, 0.00787660789489746, 0.007870463848114014, 0.00789299201965332, 0.00787660789489746, 0.007877632141113282, 0.007886879920959473, 0.007880671977996826, 0.007911424160003662, 0.007899136066436767, 0.007886847972869874, 0.007935999870300293, 0.007873536109924317, 0.007868415832519531, 0.0078919677734375, 0.007889920234680176, 0.007879680156707763, 0.007983104228973388, 0.007993343830108643, 0.008654848098754882, 0.008453120231628418, 0.008224767684936523, 0.008190976142883302, 0.008196096420288086, 0.008163328170776368, 0.008144895553588867, 0.008160256385803222, 0.0081725435256958, 0.008152064323425292, 0.008176639556884765, 0.008184831619262695, 0.008145919799804687, 0.00812339210510254, 0.008157183647155761, 0.008146944046020508, 0.008195072174072266, 0.0081397762298584, 0.00821555233001709, 0.008168448448181152, 0.0081397762298584, 0.008179743766784668, 0.00813974380493164, 0.00812339210510254, 0.00800767993927002, 0.008005632400512695, 0.017589248657226563, 0.008153087615966797, 0.008118271827697754, 0.00813158416748047, 0.008112128257751466, 0.008121343612670898, 0.008136704444885253, 0.008134655952453614, 0.0081397762298584, 0.008102944374084473, 0.008115167617797852, 0.008144895553588867, 0.008137727737426758, 0.008156160354614257, 0.008138751983642578, 0.008175616264343261, 0.008162303924560547, 0.00818995189666748, 0.00819711971282959, 0.008226816177368163, 0.00820736026763916, 0.007906303882598878, 0.007905280113220215, 0.007881824016571046, 0.007879583835601807, 0.007870463848114014, 0.007897088050842285, 0.007874559879302979, 0.007897088050842285, 0.007871488094329833, 0.007896063804626464, 0.007914495944976807, 0.00790937614440918, 0.007870463848114014, 0.007983104228973388, 0.008044544219970704, 0.008096768379211425, 0.007906303882598878, 0.008112128257751466, 0.007983104228973388, 0.007894015789031983, 0.007897088050842285, 0.007886847972869874, 0.007949312210083008, 0.008068096160888672, 0.007966720104217529, 0.007918591976165772, 0.007911424160003662, 0.007865344047546387, 0.00786742401123047, 0.007906271934509277, 0.007863296031951903, 0.007878687858581543, 0.007874527931213378, 0.007888895988464355, 0.007899136066436767, 0.00789299201965332, 0.007874559879302979, 0.007891007900238037, 0.007904191970825196, 0.007889920234680176, 0.007860223770141601, 0.007889920234680176, 0.016955392837524414, 0.007903232097625732, 0.007902207851409913, 0.007949312210083008, 0.008045568466186523, 0.008096768379211425, 0.008201215744018555, 0.008014847755432129, 0.007928832054138184, 0.007928832054138184, 0.007914495944976807, 0.007942143917083741, 0.00790937614440918, 0.00790835189819336, 0.007902207851409913, 0.007897088050842285, 0.007897119998931884, 0.007896031856536865, 0.00787660789489746, 0.007882751941680909, 0.007858176231384278, 0.008070143699645996, 0.007881728172302246, 0.007886847972869874, 0.008017919540405273, 0.008667136192321777, 0.008648703575134278, 0.009057279586791991, 0.008278016090393067, 0.008357888221740722, 0.008216575622558593, 0.008090656280517578, 0.008072159767150878, 0.008176639556884765, 0.008013824462890624, 0.008032256126403809, 0.008014847755432129, 0.008168448448181152, 0.008040448188781739, 0.008073216438293456, 0.008193023681640625, 0.008168448448181152, 0.008135680198669434, 0.008099840164184571, 0.008014847755432129, 0.008209407806396484, 0.008148991584777832, 0.00819916820526123, 0.008255488395690918, 0.008286208152770995, 0.008129535675048828, 0.008140800476074218, 0.0081397762298584, 0.008138751983642578, 0.008297472000122071, 0.008203264236450195, 0.008134655952453614, 0.008274944305419921, 0.008238080024719239, 0.008150015830993652, 0.008124416351318359, 0.008136768341064454, 0.008249279975891113, 0.017087488174438475, 0.007910399913787843, 0.007920639991760254, 0.008250368118286134, 0.008164352416992187, 0.008233983993530274, 0.008186880111694337, 0.008132608413696289, 0.008143872261047362, 0.008156160354614257, 0.008376352310180664, 0.008221664428710938, 0.008168448448181152, 0.008158207893371582, 0.008151040077209473, 0.008147968292236327, 0.008152064323425292, 0.008318976402282715, 0.008307711601257324, 0.008219648361206054, 0.00800153636932373, 0.008033280372619628, 0.008261631965637208, 0.00818380832672119, 0.008162303924560547, 0.008141823768615723, 0.007873536109924317, 0.007918591976165772, 0.007895040035247802, 0.007880703926086426, 0.008042495727539062, 0.008142848014831543, 0.008126463890075684, 0.008128512382507324, 0.008168448448181152, 0.008210432052612305, 0.008141823768615723, 0.00820736026763916, 0.008134655952453614, 0.00812339210510254, 0.008116224288940429, 0.00813158416748047, 0.008230912208557128, 0.008254464149475099, 0.008152064323425292, 0.008153087615966797, 0.008138751983642578, 0.008230912208557128, 0.008318976402282715, 0.008128512382507324, 0.008023039817810058, 0.008267775535583496, 0.008164352416992187, 0.008136704444885253, 0.008127488136291505, 0.00820736026763916, 0.008120320320129394, 0.008137727737426758, 0.00810905647277832, 0.008242176055908204, 0.00839782428741455, 0.008219648361206054, 0.0081397762298584, 0.017508352279663086, 0.008938495635986327, 0.008742912292480469, 0.00971059226989746, 0.008355839729309082, 0.008208383560180664, 0.008152064323425292, 0.008168448448181152, 0.008190976142883302, 0.008128512382507324, 0.008148991584777832, 0.00819200038909912, 0.008155136108398438, 0.008122367858886719, 0.008112128257751466, 0.00818892765045166, 0.008202239990234375, 0.008152064323425292, 0.008154111862182617, 0.00818995189666748, 0.008156160354614257, 0.008177663803100586, 0.008173567771911621, 0.008204287528991699, 0.008194047927856446, 0.008203264236450195, 0.008143872261047362, 0.00818995189666748, 0.008177663803100586, 0.00820633602142334, 0.008037376403808593, 0.00800972843170166, 0.008042495727539062, 0.008101887702941894, 0.008113151550292968, 0.008145919799804687, 0.008156160354614257, 0.008130559921264649, 0.0081397762298584, 0.008161279678344726, 0.008170495986938477, 0.008151040077209473, 0.008163328170776368, 0.008194047927856446, 0.008196096420288086, 0.008153087615966797, 0.008142848014831543, 0.008136704444885253, 0.008156160354614257, 0.008150015830993652, 0.008145919799804687, 0.008147968292236327, 0.008154111862182617, 0.008148991584777832, 0.008158207893371582, 0.00813158416748047, 0.008259584426879883, 0.008144895553588867, 0.008218624114990235, 0.00830463981628418, 0.008120320320129394, 0.008150015830993652, 0.008175616264343261, 0.017464319229125978, 0.008178688049316407, 0.008190976142883302, 0.0081725435256958, 0.008135680198669434, 0.008138751983642578, 0.0081397762298584, 0.008038399696350097, 0.007894015789031983, 0.007888895988464355, 0.007879680156707763, 0.00788479995727539, 0.007920639991760254, 0.008181759834289551, 0.008130559921264649, 0.008185855865478516, 0.008140800476074218, 0.008155136108398438, 0.00813158416748047, 0.008122367858886719, 0.007890944004058837, 0.007875584125518798, 0.007867392063140868, 0.00787660789489746, 0.007881728172302246, 0.008043519973754883, 0.008003583908081055, 0.00809062385559082, 0.008116224288940429, 0.008218624114990235, 0.008130559921264649, 0.008170495986938477, 0.00818995189666748, 0.008052736282348634, 0.007889920234680176, 0.007963647842407226, 0.00790015983581543, 0.007899136066436767, 0.007959551811218261, 0.00790015983581543, 0.007911424160003662, 0.007858176231384278, 0.0078919677734375, 0.007912447929382324, 0.007858208179473877, 0.007885791778564454, 0.00790118408203125, 0.0079267840385437, 0.007885824203491211, 0.007836671829223632, 0.00790841579437256, 0.00794924783706665, 0.007862271785736084, 0.007860223770141601, 0.007871488094329833, 0.007906303882598878, 0.007912447929382324, 0.007873536109924317, 0.007865344047546387, 0.007861248016357422, 0.007913472175598145, 0.007860223770141601, 0.007880703926086426, 0.01722265625, 0.008181759834289551, 0.008146944046020508, 0.008179712295532226, 0.008160256385803222, 0.008201215744018555, 0.008342592239379883, 0.008229824066162109, 0.008120320320129394, 0.008130559921264649, 0.008120320320129394, 0.00821555233001709, 0.008196096420288086, 0.008161279678344726, 0.008143872261047362, 0.008142848014831543, 0.008159232139587403, 0.008179712295532226, 0.008135680198669434, 0.008193023681640625, 0.008152064323425292, 0.008148991584777832, 0.008143872261047362, 0.00818380832672119, 0.008122367858886719, 0.008177663803100586, 0.00818995189666748, 0.008096768379211425, 0.008077312469482421, 0.008087552070617676, 0.008060928344726562, 0.007846975803375244, 0.007794623851776123, 0.007839744091033935, 0.007877632141113282, 0.007870463848114014, 0.00796569585800171, 0.00821555233001709, 0.008161279678344726, 0.008137727737426758, 0.0081397762298584, 0.008158207893371582, 0.008185855865478516, 0.008094719886779785, 0.008176639556884765, 0.008166399955749512, 0.008152064323425292, 0.008129535675048828, 0.008145919799804687, 0.008144895553588867, 0.008102911949157715, 0.008136704444885253, 0.008160256385803222, 0.008142848014831543, 0.008163328170776368, 0.008125503540039063, 0.00813152027130127, 0.008148991584777832, 0.00818995189666748, 0.008140800476074218, 0.008144895553588867, 0.008143872261047362, 0.008157183647155761, 0.017770496368408203, 0.008144895553588867, 0.008167424201965333, 0.008121343612670898, 0.008127488136291505, 0.008167424201965333, 0.008127488136291505, 0.00813366413116455, 0.008134655952453614, 0.008162272453308106, 0.008150015830993652, 0.008126463890075684, 0.00828006362915039, 0.00813158416748047, 0.00809267234802246, 0.00790118408203125, 0.00790015983581543, 0.007904255867004394, 0.007929855823516846, 0.007919616222381591, 0.007922688007354736, 0.007886847972869874, 0.007990272045135497, 0.007903232097625732, 0.00789299201965332, 0.008048640251159669, 0.007890944004058837, 0.007895040035247802, 0.007911424160003662, 0.007920639991760254, 0.007906303882598878, 0.007864319801330566, 0.007913472175598145, 0.00788479995727539, 0.007877632141113282, 0.007867392063140868, 0.00788479995727539, 0.007886847972869874, 0.00790118408203125, 0.00790118408203125, 0.00790937614440918, 0.007898111820220948, 0.007895040035247802, 0.007885824203491211, 0.007911424160003662, 0.007966720104217529, 0.007956480026245117, 0.007877632141113282, 0.007889920234680176, 0.007912447929382324, 0.007882751941680909, 0.007911424160003662, 0.007864319801330566, 0.007896063804626464, 0.007914527893066407, 0.007879648208618164, 0.00789299201965332, 0.007902207851409913, 0.007905280113220215, 0.007902207851409913, 0.007896063804626464, 0.007899136066436767, 0.00789299201965332, 0.016945152282714843, 0.007976960182189942, 0.007987199783325195, 0.007897088050842285, 0.007890944004058837, 0.007878655910491944, 0.007885824203491211, 0.008117247581481933, 0.008261631965637208, 0.008130592346191406, 0.008142815589904786, 0.00818073558807373, 0.008161279678344726, 0.008145919799804687, 0.008124447822570801, 0.0082390718460083, 0.008175616264343261, 0.008152064323425292, 0.008142848014831543, 0.008135680198669434, 0.008121343612670898, 0.008034303665161132, 0.008308735847473145, 0.008354816436767578, 0.008210432052612305, 0.00818892765045166, 0.00840499210357666, 0.008446975708007813, 0.008169471740722656, 0.00808448028564453, 0.007904255867004394, 0.007879680156707763, 0.007803904056549072, 0.007822336196899414, 0.007821311950683594, 0.007830527782440186, 0.00781824016571045, 0.00783564805984497, 0.007887872219085693, 0.00790937614440918, 0.007906303882598878, 0.007878655910491944, 0.007903232097625732, 0.00790118408203125, 0.007885824203491211, 0.007912447929382324, 0.007875584125518798, 0.007875584125518798, 0.00785920000076294, 0.007907328128814697, 0.007918591976165772, 0.007895040035247802, 0.007977983951568603, 0.007904255867004394, 0.007905280113220215, 0.007886911869049072, 0.007864255905151368, 0.00790118408203125, 0.007961599826812745, 0.007873536109924317, 0.007895040035247802, 0.007902207851409913, 0.007896063804626464, 0.017140735626220704, 0.007910399913787843, 0.007895040035247802, 0.007890944004058837, 0.007916543960571289, 0.007902207851409913, 0.00790937614440918, 0.007895040035247802, 0.007900191783905029, 0.007898079872131347, 0.007911424160003662, 0.007941120147705078, 0.007872511863708496, 0.007905280113220215, 0.007915520191192627, 0.00790835189819336, 0.007896063804626464, 0.007886847972869874, 0.007879744052886963, 0.007878592014312744, 0.007881728172302246, 0.007902207851409913, 0.00787660789489746, 0.007873536109924317, 0.007888895988464355, 0.00790835189819336, 0.007879680156707763, 0.00790118408203125, 0.007902207851409913, 0.00790015983581543, 0.007922688007354736, 0.007886847972869874, 0.007983104228973388, 0.007858176231384278, 0.0077916159629821775, 0.007862271785736084, 0.00781824016571045, 0.007829504013061523, 0.0078438401222229, 0.007886847972869874, 0.00790835189819336, 0.007917600154876709, 0.007915487766265869, 0.007886847972869874, 0.007902207851409913, 0.008055808067321778, 0.008141823768615723, 0.008117247581481933, 0.008110079765319824, 0.008225791931152344, 0.007896063804626464, 0.007907328128814697, 0.007890944004058837, 0.007872511863708496, 0.0078919677734375, 0.007872511863708496, 0.007890944004058837, 0.007888895988464355, 0.00785920000076294, 0.007879680156707763, 0.007883776187896728, 0.007872511863708496, 0.007987199783325195, 0.01689091110229492, 0.007906271934509277, 0.007910399913787843, 0.007885824203491211, 0.007910399913787843, 0.008279040336608886, 0.008184831619262695, 0.008133631706237793, 0.008155136108398438, 0.008173567771911621, 0.008164352416992187, 0.008150015830993652, 0.008140864372253418, 0.008307647705078126, 0.008159232139587403, 0.008154111862182617, 0.00818380832672119, 0.008154111862182617, 0.008138751983642578, 0.008128512382507324, 0.008130559921264649, 0.008145919799804687, 0.008111104011535645, 0.008121343612670898, 0.008159328460693359, 0.008150943756103516, 0.008162303924560547, 0.008224767684936523, 0.008142848014831543, 0.008118271827697754, 0.008174592018127442, 0.008132608413696289, 0.008121343612670898, 0.008136704444885253, 0.008122367858886719, 0.008136735916137696, 0.008140768051147461, 0.008134655952453614, 0.008135680198669434, 0.008136704444885253, 0.008128512382507324, 0.008117247581481933, 0.007903232097625732, 0.007888895988464355, 0.007879680156707763, 0.007862271785736084, 0.007904255867004394, 0.007907328128814697, 0.007888895988464355, 0.007863296031951903, 0.00788479995727539, 0.007880703926086426, 0.007897088050842285, 0.00787660789489746, 0.007877632141113282, 0.007864319801330566, 0.007898111820220948, 0.007869440078735352, 0.008171520233154296, 0.007862271785736084, 0.007905280113220215, 0.00789299201965332, 0.007885824203491211, 0.017105920791625977, 0.007873536109924317, 0.007889920234680176, 0.007930880069732665, 0.00790015983581543, 0.007897088050842285, 0.0078919677734375, 0.007902207851409913, 0.007905280113220215, 0.007921664237976075, 0.007916543960571289, 0.00790015983581543, 0.0078919677734375, 0.007914495944976807, 0.007897088050842285, 0.007927807807922363, 0.007922688007354736, 0.007899136066436767, 0.007882751941680909, 0.007895040035247802, 0.007905280113220215, 0.007902207851409913, 0.007878655910491944, 0.007896063804626464, 0.007888895988464355, 0.007855103969573975, 0.007883776187896728, 0.007883776187896728, 0.007855103969573975, 0.007872511863708496, 0.007853055953979492, 0.007902207851409913, 0.007882751941680909, 0.007883776187896728, 0.007874559879302979, 0.007872511863708496, 0.007898111820220948, 0.007904255867004394, 0.008046591758728027, 0.007898111820220948, 0.007877632141113282, 0.007856192111968995, 0.007872447967529297, 0.00787660789489746, 0.007890944004058837, 0.007873536109924317, 0.007888927936553955, 0.007879648208618164, 0.007868415832519531, 0.007879680156707763, 0.0078919677734375, 0.007882751941680909, 0.007896063804626464, 0.007927807807922363, 0.008242176055908204, 0.008209440231323242, 0.008128479957580566, 0.008130559921264649, 0.008132608413696289, 0.008170495986938477, 0.008165375709533691, 0.008122367858886719, 0.008122367858886719, 0.017102848052978514, 0.007897088050842285, 0.008235008239746093, 0.008123456001281738, 0.00811308765411377, 0.008124416351318359, 0.008163328170776368, 0.008134655952453614, 0.008124416351318359, 0.007883776187896728, 0.007894015789031983, 0.00789299201965332, 0.007903232097625732, 0.007879680156707763, 0.007888895988464355, 0.007906303882598878, 0.007946239948272706, 0.007930880069732665, 0.007925759792327881, 0.00787052822113037, 0.007870399951934814, 0.007874559879302979, 0.007879680156707763, 0.00790118408203125, 0.007874559879302979, 0.007903232097625732, 0.007858176231384278, 0.007882751941680909, 0.00785920000076294, 0.007887872219085693, 0.007886847972869874, 0.007887872219085693, 0.007857151985168457, 0.007988224029541016, 0.007899136066436767, 0.007855103969573975, 0.007875584125518798, 0.007875584125518798, 0.007878655910491944, 0.007942143917083741, 0.007910399913787843, 0.007874591827392578, 0.007892000198364257, 0.007928768157958984, 0.007923711776733398, 0.007873536109924317, 0.007880703926086426, 0.007872511863708496, 0.007953407764434815, 0.007883776187896728, 0.007881728172302246, 0.007890944004058837, 0.007899136066436767, 0.007879680156707763, 0.007898111820220948, 0.007873568058013916, 0.007885791778564454, 0.007894015789031983, 0.00795750379562378, 0.00790835189819336, 0.007937024116516114, 0.007947264194488525, 0.00787667179107666]",tokens/s,122.84148575218228,,,,,,2,64,1 -4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -46747,7 +46747,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,64,1 -4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch