IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
51a6f63 verified
raw
history blame
17.1 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": 66697.285632,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.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": "0.3.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 720.310272,
"max_global_vram": 1355.28448,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.17558056640625,
"mean": 7.17558056640625,
"stdev": 0.0,
"p50": 7.17558056640625,
"p90": 7.17558056640625,
"p95": 7.17558056640625,
"p99": 7.17558056640625,
"values": [
7.17558056640625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0204873151249357e-06,
"ram": 5.434399715485938e-07,
"gpu": 1.8219459020001137e-06,
"total": 3.385873188673643e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1023.373312,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.48532812976837153,
"mean": 0.006740668469005161,
"stdev": 0.0004003455786192956,
"p50": 0.006770256042480469,
"p90": 0.007184096145629882,
"p95": 0.007279088068008423,
"p99": 0.007825331649780276,
"values": [
0.007695615768432617,
0.007312704086303711,
0.007175168037414551,
0.006877952098846436,
0.006769216060638428,
0.007029056072235107,
0.007150976181030273,
0.006887487888336182,
0.007083392143249512,
0.0071695041656494145,
0.0068782720565795895,
0.006918111801147461,
0.007124000072479248,
0.00687824010848999,
0.006686816215515137,
0.006668384075164795,
0.006765120029449463,
0.006754975795745849,
0.006984064102172852,
0.006956287860870361,
0.006854112148284912,
0.006779039859771728,
0.006999680042266846,
0.00690828800201416,
0.006713696002960205,
0.0068149762153625485,
0.006954432010650635,
0.006862336158752441,
0.007028512001037598,
0.00712278413772583,
0.007251584053039551,
0.007384191989898681,
0.006852767944335938,
0.0071578240394592286,
0.0071850881576538085,
0.006992095947265625,
0.006885600090026855,
0.00677129602432251,
0.006558144092559814,
0.00723199987411499,
0.008142911911010742,
0.007188704013824463,
0.006941887855529785,
0.006545792102813721,
0.0064477438926696775,
0.006536191940307618,
0.006498655796051025,
0.006558752059936524,
0.006534751892089844,
0.006527488231658936,
0.006527584075927734,
0.006481728076934814,
0.006456319808959961,
0.0064860801696777345,
0.006464288234710693,
0.006203455924987793,
0.006208767890930176,
0.006229887962341309,
0.006243904113769531,
0.006363584041595459,
0.006123904228210449,
0.006150496006011963,
0.00625494384765625,
0.006245120048522949,
0.006206079959869385,
0.006216608047485352,
0.00619926404953003,
0.006268703937530517,
0.006311615943908691,
0.00621504020690918,
0.006238656044006348,
0.006235424041748047
]
},
"throughput": {
"unit": "tokens/s",
"value": 296.70647788069823
},
"energy": {
"unit": "kWh",
"cpu": 7.813228893349744e-08,
"ram": 4.265637685414928e-08,
"gpu": 1.5909186703947316e-07,
"total": 2.7988053282711985e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7145906.075701897
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1038.7456,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.5122726402282716,
"mean": 0.007114897780948214,
"stdev": 0.0004383825143026853,
"p50": 0.007159087896347046,
"p90": 0.00758306884765625,
"p95": 0.007764060902595521,
"p99": 0.008259952812194826,
"values": [
0.007820799827575683,
0.007558015823364258,
0.007195680141448974,
0.007261695861816406,
0.007119103908538819,
0.007477856159210205,
0.007574399948120117,
0.007457471847534179,
0.007812320232391357,
0.00759830379486084,
0.0072707839012146,
0.007519711971282959,
0.007246335983276367,
0.007263040065765381,
0.00705241584777832,
0.007362880229949951,
0.007162271976470947,
0.007243264198303223,
0.007324448108673096,
0.007338304042816162,
0.0071559038162231445,
0.007463071823120117,
0.007292319774627685,
0.007548799991607666,
0.007162752151489257,
0.007342048168182373,
0.007129536151885986,
0.00746281623840332,
0.007443295955657959,
0.0075840320587158205,
0.007724575996398926,
0.007633984088897705,
0.007495391845703125,
0.0073751678466796875,
0.007505727767944336,
0.007162464141845703,
0.007394207954406738,
0.006895616054534912,
0.006656896114349365,
0.008540703773498535,
0.008145279884338379,
0.007556352138519287,
0.006903232097625733,
0.006859519958496094,
0.0069138240814208985,
0.006846335887908936,
0.00689299201965332,
0.006921760082244873,
0.007103072166442871,
0.0069012799263000486,
0.0068263039588928225,
0.006845888137817383,
0.006843296051025391,
0.006551680088043213,
0.006866015911102295,
0.006588768005371093,
0.006603072166442871,
0.006549920082092285,
0.006606560230255127,
0.00652953577041626,
0.006603487968444824,
0.00654969596862793,
0.006525440216064453,
0.0065414719581604,
0.006598144054412842,
0.006594912052154541,
0.006569695949554443,
0.006523776054382324,
0.006567615985870362,
0.006572288036346435,
0.006584991931915283,
0.006558015823364258
]
},
"throughput": {
"unit": "tokens/s",
"value": 140.55015697874558
},
"energy": {
"unit": "kWh",
"cpu": 7.167815518477164e-08,
"ram": 3.925379139933694e-08,
"gpu": 1.445441002010336e-07,
"total": 2.5547604678514217e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3914261.2882256224
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 72,
"total": 0.47862966346740715,
"mean": 0.0066476342148251,
"stdev": 0.000383084249933593,
"p50": 0.006656512022018432,
"p90": 0.007077273607254028,
"p95": 0.007214336037635803,
"p99": 0.0077271348619461075,
"values": [
0.00727347183227539,
0.007032832145690918,
0.00669593620300293,
0.006748127937316895,
0.00662937593460083,
0.006958079814910889,
0.007053311824798584,
0.006922239780426025,
0.007275519847869873,
0.007087103843688965,
0.0067593598365783695,
0.007006207942962647,
0.006699007987976074,
0.0067645440101623535,
0.006526976108551025,
0.006866943836212158,
0.006623231887817383,
0.006723584175109864,
0.006751232147216797,
0.006809599876403808,
0.006661119937896728,
0.006939648151397705,
0.006762495994567871,
0.007039999961853028,
0.006651904106140137,
0.006766592025756836,
0.006639616012573242,
0.006924287796020508,
0.006922239780426025,
0.007037951946258545,
0.007165952205657959,
0.007094272136688232,
0.006969344139099121,
0.006863872051239014,
0.007011328220367432,
0.006725632190704346,
0.006851583957672119,
0.006495232105255127,
0.006242303848266601,
0.007950335979461669,
0.007635968208312988,
0.007079936027526855,
0.006500351905822754,
0.006463488101959228,
0.006516736030578613,
0.006412288188934326,
0.006496255874633789,
0.00652185583114624,
0.006677504062652588,
0.006503424167633057,
0.006428671836853027,
0.006444096088409424,
0.006449151992797852,
0.006168575763702393,
0.0064460477828979495,
0.0061972479820251464,
0.006209536075592041,
0.006162432193756104,
0.006149119853973388,
0.006142975807189942,
0.006221824169158936,
0.006166528224945069,
0.006138783931732178,
0.006153247833251953,
0.0062074241638183595,
0.006213632106781006,
0.006184959888458252,
0.006139904022216797,
0.006150144100189209,
0.006178815841674804,
0.006181888103485108,
0.006164447784423828
]
},
"throughput": {
"unit": "tokens/s",
"value": 150.42945620712226
},
"energy": null,
"efficiency": null
}
}
}