IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
af2527e verified
raw
history blame
17.2 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_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": 723.980288,
"max_global_vram": 1355.28448,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.22399560546875,
"mean": 7.22399560546875,
"stdev": 0.0,
"p50": 7.22399560546875,
"p90": 7.22399560546875,
"p95": 7.22399560546875,
"p99": 7.22399560546875,
"values": [
7.22399560546875
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0454085423609803e-06,
"ram": 5.278629535050634e-07,
"gpu": 1.7588902960000413e-06,
"total": 3.3321617918660853e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1024.098304,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 73,
"total": 0.4886718378067017,
"mean": 0.006694134764475366,
"stdev": 0.00032174785382332947,
"p50": 0.006717279911041259,
"p90": 0.007071987152099609,
"p95": 0.0071018687248229975,
"p99": 0.0073179518699646,
"values": [
0.007551807880401612,
0.007197184085845947,
0.007045119762420654,
0.006978303909301758,
0.006717599868774414,
0.006927807807922363,
0.007023231983184814,
0.007081215858459473,
0.007068927764892578,
0.006991072177886963,
0.007109183788299561,
0.007096992015838623,
0.007071680068969727,
0.007081727981567382,
0.006815743923187256,
0.007024415969848633,
0.0068466877937316895,
0.006944064140319824,
0.00707206392288208,
0.00688153600692749,
0.007043871879577637,
0.007017759799957275,
0.0067441282272338865,
0.006959680080413818,
0.006610144138336182,
0.006623936176300049,
0.007003007888793945,
0.006913087844848633,
0.0068904638290405275,
0.006925695896148681,
0.007227007865905762,
0.007057151794433594,
0.006987232208251953,
0.006729599952697754,
0.006893599987030029,
0.006531583786010742,
0.006372735977172851,
0.006879807949066162,
0.006484288215637207,
0.00663753604888916,
0.006717279911041259,
0.006829440116882324,
0.0068726401329040525,
0.006622399806976318,
0.006595200061798096,
0.006527391910552979,
0.006489408016204834,
0.00647219181060791,
0.006367424011230469,
0.006382207870483398,
0.006443552017211914,
0.006355135917663574,
0.006339871883392334,
0.006374207973480225,
0.006347519874572754,
0.0064587841033935545,
0.0063482561111450194,
0.0063547840118408205,
0.006387263774871826,
0.006190911769866943,
0.006123775959014892,
0.006360352039337158,
0.006386784076690674,
0.006381375789642334,
0.006356448173522949,
0.006396128177642822,
0.006082784175872802,
0.006358687877655029,
0.006338367938995362,
0.006353439807891846,
0.006366496086120606,
0.0063014721870422365,
0.006331168174743653
]
},
"throughput": {
"unit": "tokens/s",
"value": 298.76900755175404
},
"energy": {
"unit": "kWh",
"cpu": 7.545169456387012e-08,
"ram": 4.125285706808791e-08,
"gpu": 1.5280090072611566e-07,
"total": 2.695054523580737e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7421000.141187255
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1039.740928,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 73,
"total": 0.5145351037979126,
"mean": 0.00704842607942346,
"stdev": 0.00034801838947721536,
"p50": 0.006994847774505615,
"p90": 0.007471065711975098,
"p95": 0.007509740924835205,
"p99": 0.007672184295654297,
"values": [
0.007531936168670654,
0.0075435199737548825,
0.00728927993774414,
0.007460576057434082,
0.007166880130767822,
0.007319680213928223,
0.007474944114685058,
0.007390399932861328,
0.007439680099487304,
0.0074386558532714845,
0.007425343990325928,
0.007311647891998291,
0.007494944095611572,
0.007351647853851318,
0.0072409920692443844,
0.007310431957244873,
0.0073116798400878905,
0.0073697280883789065,
0.007477856159210205,
0.007962880134582519,
0.007273439884185791,
0.007559135913848877,
0.007082015991210938,
0.00729702377319336,
0.006994847774505615,
0.007384607791900635,
0.007237279891967773,
0.007330560207366944,
0.007271103858947754,
0.007435840129852295,
0.007469759941101074,
0.007471392154693604,
0.0074479360580444335,
0.006930335998535157,
0.007366112232208252,
0.006716063976287842,
0.007172959804534912,
0.00687775993347168,
0.006884736061096191,
0.006871871948242188,
0.006969151973724365,
0.007282080173492432,
0.006842720031738281,
0.0067972478866577144,
0.006809919834136963,
0.006802527904510498,
0.006861055850982666,
0.006782976150512696,
0.006712800025939942,
0.006652416229248047,
0.006676511764526367,
0.006644000053405761,
0.006718495845794678,
0.006671487808227539,
0.006653279781341553,
0.0066902399063110355,
0.006628960132598877,
0.006679647922515869,
0.006641056060791016,
0.006685823917388916,
0.007011168003082276,
0.00667628812789917,
0.006667712211608887,
0.006660799980163574,
0.006697184085845948,
0.006673920154571533,
0.006394559860229492,
0.006738111972808838,
0.006638400077819824,
0.006719647884368896,
0.006672800064086914,
0.006712160110473633,
0.006682464122772217
]
},
"throughput": {
"unit": "tokens/s",
"value": 141.87564553160456
},
"energy": {
"unit": "kWh",
"cpu": 7.08214512008825e-08,
"ram": 3.872214155959359e-08,
"gpu": 1.456526988047462e-07,
"total": 2.551962915652222e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3918552.240185761
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 73,
"total": 0.48058383846282976,
"mean": 0.006583340252915475,
"stdev": 0.00028642523975956684,
"p50": 0.006521920204162598,
"p90": 0.006934527969360352,
"p95": 0.006980198383331299,
"p99": 0.007136542549133301,
"values": [
0.006988800048828125,
0.007021567821502686,
0.006778880119323731,
0.006910975933074951,
0.006681600093841553,
0.006807551860809326,
0.006953983783721924,
0.006864895820617676,
0.006899712085723877,
0.006918144226074219,
0.0068853759765625,
0.006799359798431396,
0.006974463939666748,
0.00684441614151001,
0.0067420158386230465,
0.006770751953125,
0.006797311782836914,
0.0068321280479431154,
0.006895616054534912,
0.007432191848754883,
0.006760543823242188,
0.007001023769378662,
0.006575104236602783,
0.006749184131622315,
0.006486015796661377,
0.006811583995819092,
0.006716383934020996,
0.006799359798431396,
0.0067645440101623535,
0.006855679988861084,
0.006938623905181885,
0.006944767951965332,
0.006908927917480469,
0.006440959930419922,
0.00683622407913208,
0.006294528007507324,
0.006663167953491211,
0.006458367824554443,
0.006457344055175781,
0.006440959930419922,
0.006521920204162598,
0.006713344097137451,
0.006419456005096436,
0.0063805441856384275,
0.006398975849151611,
0.006406144142150879,
0.006463488101959228,
0.006395904064178467,
0.006326303958892822,
0.0062638077735900875,
0.0062873601913452145,
0.006246399879455566,
0.006329343795776367,
0.00628326416015625,
0.006264832019805908,
0.0062975997924804685,
0.006235136032104492,
0.0062873601913452145,
0.006255616188049316,
0.006292479991912842,
0.006617087841033936,
0.0062494721412658695,
0.006270976066589356,
0.006275072097778321,
0.006309887886047363,
0.0062740478515625,
0.006014976024627685,
0.006350912094116211,
0.006250495910644531,
0.006302720069885254,
0.006276095867156982,
0.006325247764587402,
0.006294528007507324
]
},
"throughput": {
"unit": "tokens/s",
"value": 151.89857452030427
},
"energy": null,
"efficiency": null
}
}
}