IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
6462b3b verified
raw
history blame
17.2 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_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": 790.089728,
"max_global_vram": 1355.28448,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.40585693359375,
"mean": 7.40585693359375,
"stdev": 0.0,
"p50": 7.40585693359375,
"p90": 7.40585693359375,
"p95": 7.40585693359375,
"p99": 7.40585693359375,
"values": [
7.40585693359375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0231846666667446e-06,
"ram": 5.450725038649552e-07,
"gpu": 1.731945830000083e-06,
"total": 3.3002030005317826e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1194.344448,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 73,
"total": 0.48917977619171144,
"mean": 0.006701092824543992,
"stdev": 0.0001495310964234629,
"p50": 0.006661824226379395,
"p90": 0.0067602496147155765,
"p95": 0.006918080043792721,
"p99": 0.007347120780944824,
"values": [
0.007461376190185547,
0.007302688121795654,
0.007143968105316162,
0.0065248641967773436,
0.006545279979705811,
0.0067536959648132324,
0.006767488002777099,
0.006729824066162109,
0.0067040958404541015,
0.006732192039489746,
0.006693759918212891,
0.0066613759994506834,
0.006662975788116455,
0.006651743888854981,
0.006687871932983399,
0.006671648025512695,
0.006674240112304688,
0.006575232028961182,
0.006644544124603272,
0.006689472198486328,
0.0066317119598388674,
0.0066694397926330565,
0.006678624153137207,
0.006678016185760498,
0.006612383842468262,
0.006626463890075683,
0.006647903919219971,
0.006670591831207276,
0.006765247821807862,
0.006701695919036865,
0.0066696639060974125,
0.006659552097320557,
0.006627264022827148,
0.0066943678855896,
0.006648672103881836,
0.00722431993484497,
0.00672870397567749,
0.006659488201141358,
0.006684480190277099,
0.006676896095275879,
0.006653920173645019,
0.006660192012786865,
0.006646016120910645,
0.006658847808837891,
0.006671711921691894,
0.0066763520240783695,
0.006644991874694825,
0.006661824226379395,
0.006635776042938232,
0.006721951961517334,
0.006600192070007324,
0.0066929922103881835,
0.0067612800598144535,
0.006681695938110351,
0.006650720119476318,
0.006652448177337646,
0.006649504184722901,
0.006660255908966064,
0.006697375774383545,
0.006675168037414551,
0.006627679824829102,
0.0066598720550537106,
0.006620128154754639,
0.006763552188873291,
0.0066520957946777344,
0.0067561278343200686,
0.006651167869567871,
0.0066509761810302735,
0.006637695789337158,
0.006640927791595459,
0.0066477122306823734,
0.0066471037864685055,
0.006637695789337158
]
},
"throughput": {
"unit": "tokens/s",
"value": 298.458781629562
},
"energy": {
"unit": "kWh",
"cpu": 7.952237443518636e-08,
"ram": 4.332179171927358e-08,
"gpu": 1.530927150666664e-07,
"total": 2.759368812211263e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7248034.373474233
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1212.751872,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 73,
"total": 0.5139726104736326,
"mean": 0.0070407206914196285,
"stdev": 0.00018459038671687341,
"p50": 0.006998176097869873,
"p90": 0.007149753570556641,
"p95": 0.007232588863372802,
"p99": 0.008010945205688477,
"values": [
0.00799555206298828,
0.008050527572631836,
0.006864128112792969,
0.006782080173492432,
0.007276000022888184,
0.00712656021118164,
0.0070069761276245115,
0.007001215934753418,
0.007196959972381592,
0.006983424186706543,
0.006977248191833496,
0.007019519805908203,
0.006985824108123779,
0.0069870719909667965,
0.006979936122894287,
0.00700758409500122,
0.006971295833587647,
0.007017632007598877,
0.006979199886322021,
0.007024864196777344,
0.0070557122230529784,
0.007071296215057373,
0.006968224048614502,
0.007000864028930664,
0.006963456153869629,
0.0070217280387878415,
0.006954720020294189,
0.007376128196716308,
0.006971199989318847,
0.006989759922027588,
0.006947360038757324,
0.007000768184661865,
0.006996736049652099,
0.00701529598236084,
0.007058559894561767,
0.007191648006439209,
0.006972064018249511,
0.006967584133148194,
0.006950943946838379,
0.006980959892272949,
0.006938208103179932,
0.0069749121665954586,
0.00697702407836914,
0.006974815845489502,
0.007004127979278564,
0.007022175788879394,
0.006997951984405518,
0.007112927913665771,
0.007022047996520996,
0.007203648090362549,
0.0068940801620483395,
0.0069922561645507815,
0.007012544155120849,
0.006995808124542236,
0.00698144006729126,
0.0070316162109375,
0.006965248107910156,
0.007027647972106934,
0.0069417600631713865,
0.006998176097869873,
0.007155551910400391,
0.007,
0.007016992092132569,
0.007007359981536865,
0.007009344100952148,
0.006990560054779053,
0.0069747200012207035,
0.006986623764038086,
0.007046976089477539,
0.007044384002685547,
0.006994400024414062,
0.007009696006774902,
0.006978975772857666
]
},
"throughput": {
"unit": "tokens/s",
"value": 142.03091470716598
},
"energy": {
"unit": "kWh",
"cpu": 7.529369594720557e-08,
"ram": 4.1322561010785556e-08,
"gpu": 1.4188587589437404e-07,
"total": 2.585021328523651e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3868440.0355455354
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 73,
"total": 0.48378585433959986,
"mean": 0.006627203484104104,
"stdev": 0.0001436421246933251,
"p50": 0.006591519832611084,
"p90": 0.006740991878509521,
"p95": 0.0067846145629882814,
"p99": 0.007314873428344727,
"values": [
0.007442399978637695,
0.007265279769897461,
0.006468607902526856,
0.0063907837867736815,
0.0067870721817016606,
0.0066938881874084475,
0.006601727962493896,
0.006595583915710449,
0.006782976150512696,
0.006584320068359375,
0.00657919979095459,
0.006619135856628418,
0.00658841609954834,
0.00657919979095459,
0.006574079990386963,
0.0065976958274841305,
0.006565887928009034,
0.006621183872222901,
0.00658022403717041,
0.006592512130737305,
0.006649856090545654,
0.006672383785247803,
0.006569983959197998,
0.006599679946899414,
0.006567935943603515,
0.006622208118438721,
0.006540287971496582,
0.006937600135803222,
0.006573056221008301,
0.006592512130737305,
0.006551551818847656,
0.006605823993682861,
0.006599679946899414,
0.006591487884521485,
0.006651904106140137,
0.006778880119323731,
0.006561791896820069,
0.006566976070404053,
0.0065413122177124024,
0.006582272052764892,
0.006540287971496582,
0.00657919979095459,
0.006558720111846924,
0.006576128005981445,
0.006599679946899414,
0.006608895778656006,
0.006599679946899414,
0.0067123198509216305,
0.006612991809844971,
0.006766592025756836,
0.006501376152038574,
0.006591519832611084,
0.0066007041931152345,
0.00658841609954834,
0.006582272052764892,
0.006633471965789795,
0.0065443840026855465,
0.006618112087249756,
0.006546432018280029,
0.006589439868927002,
0.006748159885406494,
0.006591487884521485,
0.006618112087249756,
0.006585343837738037,
0.006609920024871826,
0.006591487884521485,
0.0065781760215759275,
0.00658841609954834,
0.006648831844329834,
0.006642687797546387,
0.006576128005981445,
0.0066109437942504885,
0.0065781760215759275
]
},
"throughput": {
"unit": "tokens/s",
"value": 150.89320893776429
},
"energy": null,
"efficiency": null
}
}
}