IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
146b21e verified
raw
history blame
16.9 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": 765.558784,
"max_global_vram": 1355.28448,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.4131181640625,
"mean": 7.4131181640625,
"stdev": 0.0,
"p50": 7.4131181640625,
"p90": 7.4131181640625,
"p95": 7.4131181640625,
"p99": 7.4131181640625,
"values": [
7.4131181640625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.788029791664203e-07,
"ram": 5.207672702537668e-07,
"gpu": 0.0,
"total": 1.4995702494201872e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1067.311104,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 71,
"total": 0.49055171251297003,
"mean": 0.006909179049478451,
"stdev": 0.0003850022049014062,
"p50": 0.006825056076049805,
"p90": 0.007403391838073731,
"p95": 0.007508320093154908,
"p99": 0.007807379102706909,
"values": [
0.007810336112976074,
0.00741267204284668,
0.007417088031768799,
0.007239327907562256,
0.007096992015838623,
0.006782015800476074,
0.006825056076049805,
0.007403391838073731,
0.007249536037445069,
0.0073614721298217774,
0.007247456073760986,
0.007394207954406738,
0.007263008117675781,
0.007288064002990723,
0.007143648147583008,
0.006796160221099854,
0.007301216125488281,
0.007110239982604981,
0.007531040191650391,
0.0073714561462402345,
0.007239264011383056,
0.00708892822265625,
0.007485599994659424,
0.007261951923370361,
0.0076518402099609376,
0.007184319972991944,
0.0073151359558105465,
0.007806111812591552,
0.007127840042114258,
0.007152895927429199,
0.007003583908081055,
0.007013567924499512,
0.006944479942321777,
0.006891392230987549,
0.006661312103271484,
0.006774655818939209,
0.0066566081047058105,
0.006619840145111084,
0.006545087814331055,
0.006310431957244873,
0.006467872142791748,
0.006973599910736084,
0.007028831958770752,
0.007002719879150391,
0.006791935920715332,
0.0068633599281311035,
0.006805247783660888,
0.006551231861114502,
0.006601535797119141,
0.006334784030914306,
0.006603360176086426,
0.006568575859069824,
0.006554880142211914,
0.0065903358459472655,
0.006621183872222901,
0.006557568073272705,
0.006587679862976074,
0.006279104232788086,
0.006243103981018066,
0.0065946559906005855,
0.0066076798439025876,
0.006561600208282471,
0.006620863914489746,
0.006552927970886231,
0.006597856044769287,
0.006300288200378418,
0.006428160190582275,
0.0066059517860412595,
0.006646880149841309,
0.006572512149810791,
0.006656191825866699
]
},
"throughput": {
"unit": "tokens/s",
"value": 289.4699913951387
},
"energy": {
"unit": "kWh",
"cpu": 7.89030131990766e-08,
"ram": 4.314008737212285e-08,
"gpu": 1.5171863989333367e-07,
"total": 2.737617404645331e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7305622.752859098
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1082.953728,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 71,
"total": 0.5159459199905395,
"mean": 0.007266843943528726,
"stdev": 0.0003640046274855646,
"p50": 0.0072343039512634275,
"p90": 0.0076984639167785645,
"p95": 0.007760848045349121,
"p99": 0.007920889520645142,
"values": [
0.007920063972473145,
0.007821375846862794,
0.007654784202575683,
0.007597951889038086,
0.007445888042449951,
0.0072343039512634275,
0.0076984639167785645,
0.007787680149078369,
0.007687808036804199,
0.007734015941619873,
0.007706111907958985,
0.007669343948364258,
0.007651360034942627,
0.007623104095458985,
0.007454527854919434,
0.007224800109863282,
0.007593279838562012,
0.0076146240234375,
0.007732704162597657,
0.007690048217773438,
0.0075445761680603025,
0.007922815799713134,
0.007661664009094239,
0.0076921601295471195,
0.007608607769012451,
0.007595615863800049,
0.0074941120147705076,
0.0076945281028747555,
0.007567327976226806,
0.0075289602279663085,
0.007344480037689209,
0.007332543849945069,
0.007201695919036865,
0.0072778878211975095,
0.007333888053894043,
0.0070423040390014645,
0.006770912170410156,
0.007104640007019043,
0.006592512130737305,
0.00660316801071167,
0.006916575908660889,
0.007307040214538574,
0.007611936092376709,
0.007081376075744629,
0.007048927783966065,
0.007179423809051514,
0.006990911960601806,
0.0071534719467163084,
0.006957888126373291,
0.006900832176208496,
0.007017343997955322,
0.006937503814697266,
0.0069201278686523435,
0.006896096229553223,
0.006919040203094483,
0.006907616138458252,
0.006941408157348633,
0.006583871841430664,
0.006920479774475098,
0.006961984157562256,
0.00705404806137085,
0.006947487831115723,
0.006978271961212158,
0.006931551933288574,
0.006908383846282959,
0.006588736057281494,
0.006922976016998291,
0.007259552001953125,
0.006920671939849853,
0.006896800041198731,
0.006926943778991699
]
},
"throughput": {
"unit": "tokens/s",
"value": 137.61132174725185
},
"energy": {
"unit": "kWh",
"cpu": 7.546872152315024e-08,
"ram": 4.126081081896767e-08,
"gpu": 1.4338621379497967e-07,
"total": 2.6011574613709763e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3844442.3870938444
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 71,
"total": 0.48184224033355705,
"mean": 0.006786510427233198,
"stdev": 0.000307229920914286,
"p50": 0.006747136116027832,
"p90": 0.007166975975036621,
"p95": 0.007225856065750122,
"p99": 0.007310438537597656,
"values": [
0.007365632057189942,
0.007275519847869873,
0.0071281280517578125,
0.0070563840866088865,
0.006933504104614257,
0.006724607944488525,
0.007150591850280762,
0.007259136199951172,
0.007162879943847656,
0.0071792640686035155,
0.00714137601852417,
0.00714137601852417,
0.0071198720932006835,
0.007091231822967529,
0.006940639972686767,
0.006680575847625733,
0.00703385591506958,
0.007062528133392334,
0.007192575931549072,
0.007161856174468994,
0.0069928960800170895,
0.007286784172058106,
0.007122943878173828,
0.007171072006225586,
0.007068672180175781,
0.007015423774719238,
0.0069877438545227055,
0.007166975975036621,
0.007039999961853028,
0.006988800048828125,
0.006818816184997558,
0.006770688056945801,
0.0066938881874084475,
0.006765567779541016,
0.006814720153808594,
0.006558720111846924,
0.006348800182342529,
0.006592512130737305,
0.006200319766998291,
0.006200319766998291,
0.006437888145446777,
0.006833151817321777,
0.0070522880554199216,
0.006652927875518798,
0.006615039825439453,
0.006726655960083008,
0.006543360233306885,
0.006747136116027832,
0.006545407772064209,
0.006500351905822754,
0.006601727962493896,
0.006510591983795166,
0.006515711784362793,
0.0064880638122558594,
0.006520832061767578,
0.006508543968200684,
0.006526976108551025,
0.006196224212646485,
0.006520832061767578,
0.006558720111846924,
0.006638591766357422,
0.0065443840026855465,
0.006550528049468994,
0.006529056072235108,
0.0065075201988220215,
0.006179840087890625,
0.006515711784362793,
0.006854656219482422,
0.0065177597999572755,
0.006493184089660644,
0.006501376152038574
]
},
"throughput": {
"unit": "tokens/s",
"value": 147.35113291613865
},
"energy": null,
"efficiency": null
}
}
}