IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
60bdb45 verified
raw
history blame
16.9 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 1,
"duration": 1,
"warmup_runs": 1,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 2
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 2,
"min_new_tokens": 2
},
"call_kwargs": {
"num_inference_steps": 2
}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 791.216128,
"max_global_vram": 1355.28448,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.39584619140625,
"mean": 7.39584619140625,
"stdev": 0.0,
"p50": 7.39584619140625,
"p90": 7.39584619140625,
"p95": 7.39584619140625,
"p99": 7.39584619140625,
"values": [
7.39584619140625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.73251487499264e-07,
"ram": 5.177388177360278e-07,
"gpu": 1.6333346399999716e-06,
"total": 3.1243249452352635e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1193.422848,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 71,
"total": 0.4894104957580566,
"mean": 0.006893105574057136,
"stdev": 0.0004030754341491825,
"p50": 0.007014944076538086,
"p90": 0.007324639797210693,
"p95": 0.007359760046005249,
"p99": 0.00779893765449524,
"values": [
0.007808703899383545,
0.007390687942504883,
0.0073432960510253905,
0.007355008125305176,
0.0073012480735778805,
0.007048480033874512,
0.007156608104705811,
0.00731987190246582,
0.007258272171020508,
0.00712505578994751,
0.007344480037689209,
0.00704588794708252,
0.007249983787536621,
0.007201888084411621,
0.006968639850616455,
0.006951776027679444,
0.006979551792144776,
0.007014944076538086,
0.007019552230834961,
0.007221183776855469,
0.007213280200958252,
0.007053919792175293,
0.00708681583404541,
0.007183968067169189,
0.007069248199462891,
0.0069937601089477535,
0.007193088054656982,
0.0073034558296203615,
0.00684764814376831,
0.007150015830993652,
0.0070117759704589845,
0.007016255855560303,
0.007364511966705322,
0.007324639797210693,
0.007040031909942627,
0.0070720319747924806,
0.007211711883544922,
0.006930816173553467,
0.0067266240119934085,
0.00779475212097168,
0.006831583976745606,
0.007022016048431397,
0.0071591358184814454,
0.007069056034088135,
0.007143648147583008,
0.006841728210449219,
0.006906303882598877,
0.00698089599609375,
0.00675980806350708,
0.00626636791229248,
0.006256159782409668,
0.00640169620513916,
0.00625545597076416,
0.006249567985534668,
0.006219423770904541,
0.006248032093048096,
0.006232192039489746,
0.006223072052001953,
0.00625593614578247,
0.006237728118896484,
0.006268032073974609,
0.006434336185455323,
0.006483424186706543,
0.006515135765075683,
0.00658080005645752,
0.006515359878540039,
0.006515327930450439,
0.0065309758186340335,
0.006288640022277832,
0.006516704082489014,
0.006508480072021485
]
},
"throughput": {
"unit": "tokens/s",
"value": 290.14498305773697
},
"energy": {
"unit": "kWh",
"cpu": 7.796825104166608e-08,
"ram": 4.262344121812366e-08,
"gpu": 1.4829507477631567e-07,
"total": 2.688867670361054e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7438075.224175853
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1211.830272,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 71,
"total": 0.5131449303627013,
"mean": 0.007227393385390162,
"stdev": 0.00039243236099421305,
"p50": 0.007359519958496093,
"p90": 0.007619904041290283,
"p95": 0.007713551998138428,
"p99": 0.00792797131538391,
"values": [
0.007588160037994385,
0.007619904041290283,
0.007877312183380126,
0.007666944026947021,
0.007486239910125732,
0.007499199867248535,
0.007584256172180176,
0.007664224147796631,
0.007824096202850342,
0.007634528160095215,
0.007760159969329834,
0.007610559940338135,
0.007530655860900879,
0.007563392162322998,
0.007597407817840576,
0.007350048065185547,
0.007371295928955078,
0.007431968212127686,
0.007427840232849121,
0.007491168022155762,
0.0075339522361755375,
0.007593920230865478,
0.007414207935333252,
0.007537919998168946,
0.007485727787017823,
0.007359519958496093,
0.007317791938781739,
0.007400191783905029,
0.007479872226715088,
0.007469088077545166,
0.007395359992980957,
0.007515039920806885,
0.007615263938903809,
0.007491456031799316,
0.0075502080917358395,
0.0073788161277770995,
0.007323232173919678,
0.007211808204650879,
0.007234560012817383,
0.006856575965881347,
0.007113088130950928,
0.007341184139251709,
0.007412320137023926,
0.008046175956726074,
0.007236959934234619,
0.007153632164001465,
0.007060959815979004,
0.007160352230072021,
0.0068754878044128415,
0.00681382417678833,
0.006650015830993652,
0.0066111359596252445,
0.0065972480773925785,
0.006569119930267334,
0.006506944179534912,
0.006540192127227783,
0.006554431915283203,
0.006548992156982422,
0.006596992015838623,
0.006585279941558838,
0.006639488220214844,
0.006882175922393798,
0.0069081602096557615,
0.00687772798538208,
0.006875103950500489,
0.006887231826782227,
0.006882559776306152,
0.006891168117523193,
0.006853792190551758,
0.0068576960563659665,
0.006871615886688233
]
},
"throughput": {
"unit": "tokens/s",
"value": 138.36246993576594
},
"energy": {
"unit": "kWh",
"cpu": 7.350952627900714e-08,
"ram": 3.985617534125578e-08,
"gpu": 1.41332442438871e-07,
"total": 2.5469814405913377e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3926216.2812141576
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 71,
"total": 0.47975638437271106,
"mean": 0.006757132174263537,
"stdev": 0.0003360650334175882,
"p50": 0.006860799789428711,
"p90": 0.007104512214660645,
"p95": 0.007186432123184204,
"p99": 0.007369625663757324,
"values": [
0.007058432102203369,
0.007102431774139405,
0.00729804801940918,
0.007127007961273193,
0.006987775802612305,
0.006986752033233643,
0.00704204797744751,
0.00714137601852417,
0.007268352031707764,
0.007113728046417236,
0.007231488227844239,
0.00709939193725586,
0.0070348801612854,
0.006998015880584717,
0.00709939193725586,
0.006856704235076904,
0.006861855983734131,
0.006896639823913574,
0.006896639823913574,
0.006975488185882568,
0.006989823818206787,
0.007104512214660645,
0.006895616054534912,
0.006999104022979736,
0.006982560157775879,
0.006860799789428711,
0.0068249602317810056,
0.006848512172698974,
0.006974463939666748,
0.006967296123504638,
0.0068884482383728025,
0.006979616165161133,
0.007097311973571777,
0.006908927917480469,
0.007035903930664063,
0.006897664070129395,
0.0068392958641052244,
0.006744063854217529,
0.006635519981384277,
0.006456319808959961,
0.0067010560035705566,
0.00687820816040039,
0.006917119979858399,
0.007536640167236328,
0.006765567779541016,
0.006731776237487793,
0.0066416959762573245,
0.0067645440101623535,
0.006475776195526123,
0.00642252779006958,
0.006269983768463135,
0.006232063770294189,
0.0062156801223754886,
0.006180863857269287,
0.006130688190460205,
0.006151167869567871,
0.00616755199432373,
0.006161407947540283,
0.0062197761535644535,
0.006207488059997559,
0.006243296146392822,
0.006457344055175781,
0.0065146880149841305,
0.006463488101959228,
0.00645740795135498,
0.006495232105255127,
0.006486015796661377,
0.006487040042877197,
0.006449151992797852,
0.0064542717933654785,
0.006469696044921875
]
},
"throughput": {
"unit": "tokens/s",
"value": 147.99177731179878
},
"energy": null,
"efficiency": null
}
}
}