IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
2b9f771 verified
raw
history blame
13.4 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": 1071.968256,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.007552
},
"latency": {
"unit": "s",
"count": 53,
"total": 0.4975511684417724,
"mean": 0.009387757895127783,
"stdev": 0.0006020184227913817,
"p50": 0.009430591583251952,
"p90": 0.009652909088134766,
"p95": 0.009723878479003906,
"p99": 0.011514581756591787,
"values": [
0.013180095672607422,
0.009977184295654296,
0.009747936248779296,
0.00957590389251709,
0.009548095703125,
0.009347071647644043,
0.009619711875915527,
0.009613792419433593,
0.009463040351867676,
0.009624928474426269,
0.009549247741699218,
0.00953990364074707,
0.009430591583251952,
0.009438048362731934,
0.009283519744873047,
0.009539039611816406,
0.009648480415344239,
0.00947545623779297,
0.009564288139343262,
0.009498527526855469,
0.009652992248535157,
0.009678208351135253,
0.009255200386047364,
0.009465824127197266,
0.009446463584899902,
0.009707839965820312,
0.009652576446533202,
0.009516736030578614,
0.009367775917053223,
0.008967424392700195,
0.00917193603515625,
0.009111968040466309,
0.00944431972503662,
0.009586624145507813,
0.00931708812713623,
0.009235808372497559,
0.009139360427856446,
0.009027968406677246,
0.008968671798706055,
0.008959296226501465,
0.008955264091491699,
0.008965888023376466,
0.00899561595916748,
0.008941216468811035,
0.008935104370117188,
0.008944959640502929,
0.008957599639892578,
0.008932607650756836,
0.008946175575256348,
0.008906815528869629,
0.008911295890808106,
0.008918527603149415,
0.008901151657104492
]
},
"throughput": {
"unit": "tokens/s",
"value": 213.04341487523808
},
"energy": {
"unit": "kWh",
"cpu": 1.0597573534127266e-07,
"ram": 5.7850877078635684e-08,
"gpu": 1.9042673964286528e-07,
"total": 3.5425335206277363e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 5645676.994597924
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1071.968256,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.4576
},
"latency": {
"unit": "s",
"count": 53,
"total": 0.5141057271957398,
"mean": 0.009700108060296976,
"stdev": 0.00040804852272904694,
"p50": 0.009802911758422852,
"p90": 0.009987615966796875,
"p95": 0.010182925033569335,
"p99": 0.010868232650756832,
"values": [
0.011540255546569823,
0.01024790382385254,
0.01015500831604004,
0.00984115219116211,
0.009856096267700195,
0.009768320083618163,
0.009945343971252442,
0.00988361644744873,
0.00990998363494873,
0.009945311546325684,
0.009844127655029298,
0.009941408157348633,
0.009850079536437989,
0.009849599838256836,
0.009893055915832519,
0.009988927841186523,
0.00993443202972412,
0.009872703552246094,
0.009864064216613769,
0.009789600372314453,
0.01022480010986328,
0.009972160339355468,
0.00978054428100586,
0.009802911758422852,
0.00986303997039795,
0.009982368469238282,
0.010021599769592285,
0.009882047653198242,
0.009788543701171874,
0.009701055526733398,
0.009558527946472169,
0.009746848106384277,
0.009829695701599122,
0.00987276840209961,
0.00951033592224121,
0.009495967864990235,
0.009274911880493165,
0.009233471870422363,
0.009244928359985352,
0.009216416358947753,
0.009371935844421387,
0.00926863956451416,
0.00921827220916748,
0.009229280471801759,
0.009239935874938964,
0.009233504295349122,
0.009199775695800782,
0.009241375923156738,
0.00923408031463623,
0.009244256019592285,
0.009213120460510253,
0.009220831871032715,
0.009266783714294433
]
},
"throughput": {
"unit": "tokens/s",
"value": 103.09163503992802
},
"energy": {
"unit": "kWh",
"cpu": 1.0037886480416965e-07,
"ram": 5.497545868961579e-08,
"gpu": 1.7852470494333316e-07,
"total": 3.338790284371186e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 2995096.7710699923
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 52,
"total": 0.9887528896331788,
"mean": 0.0190144786467919,
"stdev": 0.0006100824721794526,
"p50": 0.019251679420471193,
"p90": 0.019709336853027344,
"p95": 0.019793562030792237,
"p99": 0.020113428344726562,
"values": [
0.02026905632019043,
0.019963903427124022,
0.01944780731201172,
0.01942835235595703,
0.019167232513427734,
0.019534847259521485,
0.01959219169616699,
0.019398656845092774,
0.01960038375854492,
0.01943654441833496,
0.01948467254638672,
0.019358783721923827,
0.019286975860595704,
0.01922867202758789,
0.019553279876708983,
0.01963929557800293,
0.019367935180664063,
0.019471359252929688,
0.019326976776123047,
0.01988198471069336,
0.019717119216918946,
0.01906483268737793,
0.019305471420288087,
0.019320831298828126,
0.019721216201782226,
0.019720191955566405,
0.019372032165527343,
0.01925836753845215,
0.018727935791015626,
0.01883340835571289,
0.018835519790649412,
0.019244991302490234,
0.019555328369140625,
0.018893823623657227,
0.018760704040527345,
0.018510847091674804,
0.018287616729736327,
0.01821900749206543,
0.018225151062011717,
0.018348031997680665,
0.018264064788818358,
0.018234367370605468,
0.01820364761352539,
0.01820057678222656,
0.01820572853088379,
0.018174943923950197,
0.01818828773498535,
0.018233343124389647,
0.01816985511779785,
0.018151424407958985,
0.01816985511779785,
0.01819545555114746
]
},
"throughput": {
"unit": "tokens/s",
"value": 52.59150243221204
},
"energy": null,
"efficiency": null
}
}
}