IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
1119dcd verified
raw
history blame
13.7 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": 1094.520832,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.007552
},
"latency": {
"unit": "s",
"count": 55,
"total": 0.4917849264144898,
"mean": 0.008941544116627087,
"stdev": 0.00034248993424507265,
"p50": 0.008967040061950683,
"p90": 0.00930953598022461,
"p95": 0.009467020416259764,
"p99": 0.009835646686553956,
"values": [
0.009935456275939942,
0.00975062370300293,
0.009658271789550782,
0.009359968185424805,
0.009363903999328613,
0.009207903861999512,
0.008986847877502441,
0.009077055931091309,
0.009022432327270508,
0.009159584045410157,
0.009061887741088867,
0.008957088470458984,
0.009061663627624512,
0.008923583984375,
0.009018239974975585,
0.008941887855529785,
0.009085087776184083,
0.00912723159790039,
0.008941247940063476,
0.009044032096862793,
0.009001983642578124,
0.009039584159851075,
0.009187104225158692,
0.008905535697937011,
0.008949824333190918,
0.009000384330749511,
0.009206015586853028,
0.009175456047058106,
0.009083295822143555,
0.009192031860351562,
0.008767744064331055,
0.008931391716003418,
0.008588352203369141,
0.009233887672424317,
0.009385055541992187,
0.009150272369384765,
0.008967040061950683,
0.008839200019836426,
0.00882051181793213,
0.008832480430603027,
0.008759936332702637,
0.008466879844665527,
0.008498399734497071,
0.008478367805480957,
0.008489439964294434,
0.008450624465942382,
0.00845587158203125,
0.008440608024597169,
0.008453408241271972,
0.008450336456298828,
0.008434016227722168,
0.008437151908874512,
0.008438207626342774,
0.008826687812805175,
0.008763839721679687
]
},
"throughput": {
"unit": "tokens/s",
"value": 223.67501338845221
},
"energy": {
"unit": "kWh",
"cpu": 1.0611159313056204e-07,
"ram": 5.8014828672574883e-08,
"gpu": 1.8174369698214203e-07,
"total": 3.4587011878527897e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 5782517.457779081
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1094.520832,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.4576
},
"latency": {
"unit": "s",
"count": 55,
"total": 0.5100648984909056,
"mean": 0.009273907245289195,
"stdev": 0.0003497514069055077,
"p50": 0.009321056365966796,
"p90": 0.00970993251800537,
"p95": 0.00987090244293213,
"p99": 0.010090029544830322,
"values": [
0.010080063819885254,
0.010101728439331055,
0.009867072105407715,
0.009726592063903809,
0.009713631629943847,
0.009633312225341797,
0.009471391677856445,
0.009426112174987794,
0.009358847618103027,
0.009448960304260253,
0.009405344009399415,
0.00938976001739502,
0.009449824333190918,
0.00927500820159912,
0.009335871696472167,
0.00938486385345459,
0.009536319732666016,
0.009337887763977051,
0.009412832260131836,
0.009409952163696288,
0.00927126407623291,
0.009293984413146973,
0.009321056365966796,
0.009322336196899414,
0.009339263916015625,
0.009359264373779297,
0.009630784034729004,
0.009422431945800782,
0.009304672241210938,
0.009244832038879394,
0.009198847770690919,
0.008980704307556151,
0.009516448020935058,
0.009704383850097656,
0.009879839897155763,
0.009316512107849121,
0.009194720268249511,
0.009155167579650878,
0.009122336387634277,
0.00915436840057373,
0.009199551582336426,
0.008745408058166504,
0.008701824188232421,
0.008728032112121581,
0.008764543533325196,
0.008744799613952636,
0.008725791931152345,
0.008770784378051759,
0.008786304473876953,
0.008725088119506836,
0.00870639991760254,
0.00874630355834961,
0.008933952331542969,
0.009105792045593262,
0.00918172836303711
]
},
"throughput": {
"unit": "tokens/s",
"value": 107.82941575224007
},
"energy": {
"unit": "kWh",
"cpu": 1.0164590065910337e-07,
"ram": 5.55743605855412e-08,
"gpu": 1.7440181210557827e-07,
"total": 3.316220733502227e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3015480.8149453616
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 54,
"total": 0.9837393894195556,
"mean": 0.018217396100362142,
"stdev": 0.0006456137655613507,
"p50": 0.01834547233581543,
"p90": 0.01893693370819092,
"p95": 0.01920332775115967,
"p99": 0.019735316524505615,
"values": [
0.019893247604370116,
0.019595264434814453,
0.019099647521972657,
0.019154943466186524,
0.018874368667602538,
0.018490367889404297,
0.018550783157348632,
0.01839923286437988,
0.018614336013793944,
0.018536384582519532,
0.018383935928344728,
0.01855891227722168,
0.01822208023071289,
0.018361343383789062,
0.018342912673950194,
0.018689023971557618,
0.018514944076538087,
0.01840947151184082,
0.018490367889404297,
0.018297855377197265,
0.01838489532470703,
0.018523136138916017,
0.018280448913574218,
0.018325504302978517,
0.018348031997680665,
0.018891775131225585,
0.01863372802734375,
0.018408447265625,
0.018507776260375978,
0.01799782371520996,
0.018035711288452147,
0.018051071166992186,
0.018956287384033203,
0.019293184280395507,
0.018545663833618165,
0.01825279998779297,
0.018028543472290038,
0.017970176696777345,
0.01801318359375,
0.01798246383666992,
0.01726361656188965,
0.01722777557373047,
0.017229824066162108,
0.017278976440429687,
0.01722265625,
0.01720729637145996,
0.01721855926513672,
0.017262592315673828,
0.01722675132751465,
0.017159168243408202,
0.017201152801513672,
0.0173885440826416,
0.017967103958129883,
0.017975296020507812
]
},
"throughput": {
"unit": "tokens/s",
"value": 54.89258698064544
},
"energy": null,
"efficiency": null
}
}
}