IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
50ae19d 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",
"numactl": false,
"numactl_kwargs": {},
"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": "0.2.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.41.0",
"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": 1079.066624,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.0096
},
"latency": {
"unit": "s",
"count": 56,
"total": 0.4970152645111083,
"mean": 0.008875272580555506,
"stdev": 0.0007367715199718251,
"p50": 0.008922560214996338,
"p90": 0.009299776077270509,
"p95": 0.009614247798919678,
"p99": 0.011390137672424326,
"values": [
0.013154080390930176,
0.009946911811828614,
0.009781023979187013,
0.009558655738830567,
0.009340160369873047,
0.009315232276916503,
0.00916220760345459,
0.009256575584411621,
0.009159520149230957,
0.009179583549499512,
0.009010175704956054,
0.009118783950805663,
0.009026623725891114,
0.009284319877624512,
0.009257375717163086,
0.009190176010131836,
0.008934016227722169,
0.009175871849060059,
0.00909654426574707,
0.009027680397033692,
0.009074208259582519,
0.009023360252380371,
0.009175423622131348,
0.009231712341308594,
0.008823776245117187,
0.009041952133178712,
0.008401599884033203,
0.009137120246887207,
0.009265472412109375,
0.009018431663513184,
0.008879679679870606,
0.008911104202270507,
0.008679519653320313,
0.008689663887023925,
0.008655232429504394,
0.008327520370483399,
0.00831436824798584,
0.008282208442687988,
0.00829856014251709,
0.00830297565460205,
0.008303135871887206,
0.008278847694396973,
0.008285375595092773,
0.008262880325317383,
0.00826416015625,
0.00826905632019043,
0.008284319877624511,
0.008280832290649414,
0.00827347183227539,
0.008306719779968262,
0.008279168128967285,
0.008270624160766602,
0.008293215751647948,
0.00828172779083252,
0.008287167549133301,
0.008285152435302734
]
},
"throughput": {
"unit": "tokens/s",
"value": 225.34519158112656
},
"energy": {
"unit": "kWh",
"cpu": 1.025733363125973e-07,
"ram": 5.585369192196029e-08,
"gpu": 1.9142496156896661e-07,
"total": 3.4985198980352424e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 5716703.229623457
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1079.066624,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.46016
},
"latency": {
"unit": "s",
"count": 56,
"total": 0.5073699531555175,
"mean": 0.009060177734919957,
"stdev": 0.0005824231882526098,
"p50": 0.009046880245208739,
"p90": 0.009621551990509033,
"p95": 0.009868720293045044,
"p99": 0.010767433547973637,
"values": [
0.01148646354675293,
0.010179136276245117,
0.00993673610687256,
0.009741663932800293,
0.009644096374511718,
0.009846048355102539,
0.009333056449890137,
0.00945206356048584,
0.009358847618103027,
0.009425888061523438,
0.009342687606811523,
0.009338208198547363,
0.009453824043273926,
0.009456192016601563,
0.009397088050842285,
0.009389887809753418,
0.009347583770751953,
0.009414719581604005,
0.009327391624450683,
0.009245920181274413,
0.009431520462036132,
0.009425312042236329,
0.00932140827178955,
0.009212896347045899,
0.00931222438812256,
0.008645215988159179,
0.008996000289916992,
0.009497504234313964,
0.009599007606506348,
0.008957728385925293,
0.009097760200500488,
0.008912351608276367,
0.008905599594116211,
0.008903648376464844,
0.008882880210876465,
0.00851625633239746,
0.008512960433959962,
0.00855843162536621,
0.008452672004699707,
0.008472831726074218,
0.008435615539550781,
0.00848265552520752,
0.008461888313293458,
0.008478015899658202,
0.008465920448303223,
0.008501983642578126,
0.008496479988098144,
0.008473312377929688,
0.008474783897399902,
0.008446656227111816,
0.008573247909545898,
0.008516960144042969,
0.008457152366638184,
0.008458527565002441,
0.008454079627990723,
0.008460960388183593
]
},
"throughput": {
"unit": "tokens/s",
"value": 110.3731106891839
},
"energy": {
"unit": "kWh",
"cpu": 9.576673194823133e-08,
"ram": 5.2581090683439666e-08,
"gpu": 1.749225537310319e-07,
"total": 3.232703763627028e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3093385.8253625454
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 55,
"total": 0.9816115188598633,
"mean": 0.01784748216108842,
"stdev": 0.0009441486175049097,
"p50": 0.017978368759155275,
"p90": 0.018855731582641602,
"p95": 0.019228057289123537,
"p99": 0.019966301040649417,
"values": [
0.020175872802734376,
0.019787776947021486,
0.019319807052612305,
0.01902079963684082,
0.019188735961914064,
0.018566144943237304,
0.018735103607177735,
0.018534400939941405,
0.018669567108154296,
0.018332672119140626,
0.018522111892700196,
0.018497535705566406,
0.018817024230957033,
0.01867366409301758,
0.018637823104858398,
0.018313215255737304,
0.018589696884155273,
0.01846681594848633,
0.018323455810546875,
0.01854876708984375,
0.01849648094177246,
0.018507776260375978,
0.018505727767944336,
0.018127872467041017,
0.01785958480834961,
0.017354751586914064,
0.01864396858215332,
0.018881536483764647,
0.018103296279907227,
0.017978368759155275,
0.017904640197753906,
0.017617919921875,
0.017624063491821287,
0.017558528900146485,
0.016887807846069337,
0.01683046340942383,
0.01688479995727539,
0.016781248092651368,
0.01679974365234375,
0.01676288032531738,
0.016761856079101564,
0.01678950309753418,
0.01676697540283203,
0.016763935089111327,
0.016782304763793946,
0.01679974365234375,
0.01680179214477539,
0.016777215957641603,
0.016776191711425782,
0.016870399475097657,
0.01678950309753418,
0.01680793571472168,
0.016759807586669923,
0.016773120880126953,
0.0167587833404541
]
},
"throughput": {
"unit": "tokens/s",
"value": 56.030312341772664
},
"energy": null,
"efficiency": null
}
}
}