IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
9103dd8 verified
raw
history blame
13.9 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.3.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"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": {},
"hub_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,
"latency": true,
"memory": 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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.29792,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.215-203.850.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": "0.2.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1075.257344,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.007552
},
"latency": {
"unit": "s",
"count": 57,
"total": 0.4952314252853395,
"mean": 0.008688270619041042,
"stdev": 0.0007255537182650411,
"p50": 0.00843718433380127,
"p90": 0.008820576095581054,
"p95": 0.009072928047180172,
"p99": 0.012170431709289548,
"values": [
0.012866623878479004,
0.01162342357635498,
0.009779744148254395,
0.008529600143432617,
0.008408736228942872,
0.00839686393737793,
0.008387136459350585,
0.008430047988891602,
0.0084235200881958,
0.008416831970214844,
0.008391136169433594,
0.008410816192626952,
0.008405792236328124,
0.008396032333374024,
0.00843718433380127,
0.008428352355957031,
0.008434304237365723,
0.00837110424041748,
0.00841107177734375,
0.008404288291931152,
0.008410112380981445,
0.008439135551452637,
0.008430335998535156,
0.008420576095581054,
0.008403807640075684,
0.008378591537475586,
0.008362688064575196,
0.008449888229370118,
0.008374688148498535,
0.008384063720703125,
0.008401568412780763,
0.008374527931213379,
0.008566975593566895,
0.008692319869995118,
0.008716575622558594,
0.008685695648193359,
0.008397536277770996,
0.008339327812194824,
0.008377535820007324,
0.00877836799621582,
0.008803808212280273,
0.008896224021911621,
0.00887715244293213,
0.008781824111938476,
0.008668191909790039,
0.008688639640808106,
0.00864345645904541,
0.008689791679382323,
0.008728287696838378,
0.008801440238952636,
0.00865334415435791,
0.008743776321411132,
0.008637375831604004,
0.008644800186157226,
0.008667807579040527,
0.008845727920532226,
0.008722847938537597
]
},
"throughput": {
"unit": "tokens/s",
"value": 230.19540800407844
},
"energy": {
"unit": "kWh",
"cpu": 1.0405046607551054e-07,
"ram": 5.6884016224725385e-08,
"gpu": 1.9025843680700958e-07,
"total": 3.5119291910724555e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 5694875.640101531
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1075.257344,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.4576
},
"latency": {
"unit": "s",
"count": 57,
"total": 0.5079283504486084,
"mean": 0.00891102369208085,
"stdev": 0.0005779430110984822,
"p50": 0.00874227237701416,
"p90": 0.00917795867919922,
"p95": 0.009240979194641114,
"p99": 0.01117060585021972,
"values": [
0.012918272018432618,
0.009797439575195313,
0.008958815574645996,
0.008694432258605956,
0.008666943550109864,
0.008688768386840821,
0.00871225643157959,
0.008702048301696777,
0.008683327674865723,
0.008691935539245606,
0.008707136154174804,
0.008765536308288574,
0.0088156156539917,
0.008711775779724122,
0.008705439567565918,
0.0087042875289917,
0.008677375793457032,
0.008650239944458007,
0.00866646385192871,
0.008679679870605469,
0.008699423789978027,
0.008660320281982423,
0.008650079727172851,
0.008659775733947755,
0.008640864372253417,
0.008643584251403809,
0.008775648117065429,
0.008692895889282227,
0.00866102409362793,
0.008659263610839844,
0.008639360427856445,
0.008808639526367188,
0.00874227237701416,
0.009014431953430175,
0.008931967735290527,
0.008954463958740234,
0.008679424285888672,
0.008650079727172851,
0.008667455673217774,
0.0091015043258667,
0.00923305606842041,
0.009171392440795898,
0.009272671699523926,
0.009018848419189453,
0.009187808036804199,
0.008940832138061523,
0.008960063934326173,
0.009196736335754395,
0.008922656059265137,
0.008922847747802734,
0.008960639953613281,
0.008940192222595214,
0.009008000373840332,
0.008934432029724122,
0.008828255653381347,
0.008997183799743652,
0.008902463912963867
]
},
"throughput": {
"unit": "tokens/s",
"value": 112.22055226816325
},
"energy": {
"unit": "kWh",
"cpu": 9.795308746226412e-08,
"ram": 5.3561686234244195e-08,
"gpu": 1.7613074519299628e-07,
"total": 3.2764551888950465e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3052078.9766614833
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 56,
"total": 0.979236864089966,
"mean": 0.017486372573035102,
"stdev": 0.0006806407008818865,
"p50": 0.017163776397705076,
"p90": 0.017904128074645996,
"p95": 0.018139856815338133,
"p99": 0.020139570903778083,
"values": [
0.021625856399536132,
0.018923519134521484,
0.017273855209350587,
0.017098751068115235,
0.017102848052978514,
0.017138687133789063,
0.01714995193481445,
0.017141759872436522,
0.017134592056274413,
0.017124351501464845,
0.01719910430908203,
0.01724313545227051,
0.017140735626220704,
0.01715814399719238,
0.017169408798217774,
0.017115135192871094,
0.017064960479736328,
0.017105920791625977,
0.017094655990600584,
0.01714995193481445,
0.017129472732543945,
0.017104896545410156,
0.017104896545410156,
0.017071104049682616,
0.01705062484741211,
0.017153024673461914,
0.017155071258544922,
0.017078304290771486,
0.01707209587097168,
0.017068031311035157,
0.017155071258544922,
0.01739263916015625,
0.017727487564086913,
0.01767731285095215,
0.017655807495117186,
0.017089536666870117,
0.017040384292602538,
0.01707827186584473,
0.017827903747558594,
0.018101184844970704,
0.01803980827331543,
0.018255872726440428,
0.01780019187927246,
0.017917951583862304,
0.017675264358520508,
0.01762918472290039,
0.01789030456542969,
0.017701887130737306,
0.017754112243652344,
0.017632255554199217,
0.017713151931762695,
0.01767731285095215,
0.01760870361328125,
0.017526784896850587,
0.017869823455810546,
0.017655807495117186
]
},
"throughput": {
"unit": "tokens/s",
"value": 57.18738954138791
},
"energy": null,
"efficiency": null
}
}
}