IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
f24edcf 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": 66697.293824,
"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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.43.3",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"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": 720.879616,
"max_global_vram": 1355.28448,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.28901806640625,
"mean": 7.28901806640625,
"stdev": 0.0,
"p50": 7.28901806640625,
"p90": 7.28901806640625,
"p95": 7.28901806640625,
"p99": 7.28901806640625,
"values": [
7.28901806640625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.006968484984504e-06,
"ram": 5.202257171484348e-07,
"gpu": 1.7633347440017266e-06,
"total": 3.2905289461346654e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1025.318912,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 73,
"total": 0.4903927683830259,
"mean": 0.006717709155931865,
"stdev": 0.00035687799392284736,
"p50": 0.0068158721923828125,
"p90": 0.0071522368431091304,
"p95": 0.007206508731842041,
"p99": 0.007432134304046631,
"values": [
0.007535583972930908,
0.007181280136108399,
0.0071123518943786625,
0.006971871852874756,
0.007046720027923584,
0.006875360012054443,
0.0068674559593200684,
0.007223328113555908,
0.007024384021759033,
0.0067885761260986326,
0.006987872123718261,
0.006994239807128906,
0.0072873921394348146,
0.007097504138946533,
0.007195295810699463,
0.007162208080291748,
0.006731647968292237,
0.0068393278121948245,
0.0067933440208435055,
0.0068158721923828125,
0.007036255836486816,
0.007391903877258301,
0.006901247978210449,
0.007192863941192627,
0.0069036478996276854,
0.006851295948028565,
0.006736063957214355,
0.0067890558242797855,
0.0070629119873046875,
0.006824160099029541,
0.006975264072418213,
0.006923168182373047,
0.007005792140960693,
0.007093920230865479,
0.007019743919372558,
0.006932127952575684,
0.006821856021881103,
0.007053055763244629,
0.006697440147399902,
0.006592864036560058,
0.006624959945678711,
0.006299456119537353,
0.0066715521812438965,
0.006833087921142578,
0.006923327922821045,
0.006909887790679931,
0.006444447994232177,
0.006409696102142334,
0.006862751960754395,
0.006635744094848633,
0.006428192138671875,
0.006419392108917237,
0.006336095809936523,
0.006268832206726074,
0.006246272087097168,
0.006207007884979248,
0.006206975936889648,
0.006244095802307129,
0.006389440059661865,
0.006222591876983642,
0.006364511966705322,
0.006231296062469483,
0.006257215976715088,
0.006226912021636963,
0.006213503837585449,
0.006224224090576172,
0.0062616000175476074,
0.006256224155426026,
0.00622982406616211,
0.006232831954956055,
0.006260992050170899,
0.0063987522125244145,
0.006314815998077393
]
},
"throughput": {
"unit": "tokens/s",
"value": 297.7205403770662
},
"energy": {
"unit": "kWh",
"cpu": 7.976507802759863e-08,
"ram": 4.361202077767103e-08,
"gpu": 1.631507643758479e-07,
"total": 2.8652786318111755e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 6980123.949536374
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1040.6912,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 73,
"total": 0.5108855676651001,
"mean": 0.006998432433768496,
"stdev": 0.00037551106384020876,
"p50": 0.007055967807769775,
"p90": 0.007435187244415283,
"p95": 0.007559283065795897,
"p99": 0.0077905895423889164,
"values": [
0.007435328006744385,
0.007642303943634033,
0.007287456035614014,
0.00724560022354126,
0.0070899839401245114,
0.0071051521301269535,
0.007402527809143067,
0.007472320079803467,
0.00725875186920166,
0.007269567966461181,
0.007315264225006103,
0.007312032222747802,
0.007678463935852051,
0.007469791889190674,
0.007840447902679444,
0.007216864109039307,
0.007055967807769775,
0.007037983894348144,
0.007208992004394532,
0.007248095989227295,
0.007278463840484619,
0.007266079902648926,
0.007387392044067383,
0.007434624195098877,
0.007238048076629639,
0.007155839920043945,
0.007024415969848633,
0.007209887981414795,
0.007036831855773926,
0.007172800064086914,
0.007207263946533203,
0.007245183944702149,
0.007771200180053711,
0.007330656051635742,
0.007287744045257568,
0.007305823802947998,
0.007109024047851562,
0.0070200319290161135,
0.0067246718406677244,
0.007360320091247558,
0.006690624237060547,
0.006658271789550781,
0.006968128204345703,
0.00710595178604126,
0.007503935813903809,
0.006760672092437744,
0.006747744083404541,
0.006720191955566406,
0.006726719856262207,
0.006707647800445557,
0.006989696025848389,
0.0067619199752807614,
0.006503615856170654,
0.006536992073059082,
0.006498720169067383,
0.006490015983581543,
0.0064991040229797365,
0.0064815678596496585,
0.006627488136291504,
0.0067523841857910155,
0.006481728076934814,
0.006480447769165039,
0.006485568046569824,
0.006472383975982666,
0.006509312152862549,
0.006507199764251709,
0.006716832160949707,
0.006502655982971192,
0.006620704174041748,
0.00654636812210083,
0.006530687808990478,
0.006580639839172364,
0.006560448169708252
]
},
"throughput": {
"unit": "tokens/s",
"value": 142.8891411703639
},
"energy": {
"unit": "kWh",
"cpu": 7.482532223884231e-08,
"ram": 4.091670917472542e-08,
"gpu": 1.4971023627350402e-07,
"total": 2.6545226768707184e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3767155.612243061
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 73,
"total": 0.47691046285629274,
"mean": 0.006533020039127297,
"stdev": 0.00031119126753512973,
"p50": 0.006561823844909668,
"p90": 0.006902988910675048,
"p95": 0.007008684730529784,
"p99": 0.007229872550964356,
"values": [
0.006875135898590088,
0.0071147198677062986,
0.00676966381072998,
0.006732800006866455,
0.006599775791168213,
0.0066007041931152345,
0.006809599876403808,
0.006952960014343262,
0.006744063854217529,
0.006723584175109864,
0.006755328178405762,
0.006706175804138184,
0.0070891518592834475,
0.006949888229370117,
0.007325695991516113,
0.0067420477867126466,
0.006561823844909668,
0.006556511878967285,
0.006696959972381592,
0.0067276802062988285,
0.006763519763946534,
0.006746208190917969,
0.006834239959716797,
0.006909952163696289,
0.0067041277885437015,
0.006657023906707763,
0.0065146880149841305,
0.006689663887023926,
0.006560768127441406,
0.006663167953491211,
0.006681600093841553,
0.006730751991271973,
0.007192607879638672,
0.006792191982269287,
0.00677785587310791,
0.006767615795135498,
0.006561759948730469,
0.006534143924713135,
0.006315008163452148,
0.0068618240356445315,
0.006304768085479737,
0.006249407768249512,
0.006521759986877441,
0.006642591953277588,
0.006955039978027344,
0.006366176128387451,
0.0063201279640197755,
0.00633241605758667,
0.00633241605758667,
0.006313983917236328,
0.0065853757858276366,
0.00637337589263916,
0.006120448112487793,
0.00616156816482544,
0.006122560024261475,
0.006114304065704346,
0.006120448112487793,
0.006106112003326416,
0.006244351863861084,
0.0063569917678833006,
0.006105088233947754,
0.006103040218353272,
0.00608358383178711,
0.006097856044769287,
0.006121471881866455,
0.006129568099975586,
0.006338560104370118,
0.006088736057281494,
0.006227968215942382,
0.006155263900756836,
0.006153215885162353,
0.006187007904052734,
0.006181888103485108
]
},
"throughput": {
"unit": "tokens/s",
"value": 153.06856461649295
},
"energy": null,
"efficiency": null
}
}
}