IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
1c9ab52 verified
raw
history blame
14.1 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",
"numactl": false,
"numactl_kwargs": {},
"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": "0.2.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.41.0",
"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": 1062.486016,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.0096
},
"latency": {
"unit": "s",
"count": 58,
"total": 0.5023425588607788,
"mean": 0.00866107860104791,
"stdev": 0.00036545555072536423,
"p50": 0.00870692777633667,
"p90": 0.00907689905166626,
"p95": 0.009180945777893065,
"p99": 0.009578651123046875,
"values": [
0.009738944053649902,
0.009214048385620116,
0.009175104141235351,
0.008865728378295898,
0.008871904373168945,
0.008824288368225098,
0.008988063812255859,
0.008854592323303222,
0.00897926425933838,
0.008933504104614258,
0.009070591926574707,
0.009457728385925294,
0.008838848114013672,
0.00890675163269043,
0.009031999588012695,
0.008915936470031739,
0.008924575805664062,
0.008849056243896484,
0.008998623847961426,
0.008746623992919922,
0.008811488151550292,
0.008835488319396973,
0.009164447784423829,
0.008964927673339843,
0.008789471626281738,
0.008731616020202638,
0.008745183944702148,
0.00849027156829834,
0.00867580795288086,
0.009003552436828613,
0.009091615676879883,
0.008682239532470703,
0.008558079719543457,
0.008583135604858398,
0.008594688415527343,
0.008300736427307128,
0.008249631881713867,
0.008263263702392578,
0.00823574447631836,
0.008291135787963868,
0.008261759757995606,
0.008257184028625488,
0.008231807708740234,
0.008271743774414062,
0.008242207527160645,
0.008279487609863282,
0.008258975982666016,
0.008246047973632813,
0.00823417568206787,
0.008240415573120117,
0.008243103981018067,
0.008251232147216797,
0.0084617280960083,
0.008279711723327636,
0.00824563217163086,
0.008259776115417481,
0.008261024475097656,
0.00856783962249756
]
},
"throughput": {
"unit": "tokens/s",
"value": 230.91812141711986
},
"energy": {
"unit": "kWh",
"cpu": 1.0256076738295427e-07,
"ram": 5.607349792406804e-08,
"gpu": 1.959604058103444e-07,
"total": 3.545946711173667e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 5640242.685254633
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1062.486016,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.46016
},
"latency": {
"unit": "s",
"count": 58,
"total": 0.5112908172607423,
"mean": 0.008815358918288657,
"stdev": 0.000364527483022805,
"p50": 0.008927855968475342,
"p90": 0.009230240345001221,
"p95": 0.009296318578720092,
"p99": 0.009471887397766113,
"values": [
0.009449472427368164,
0.009432127952575683,
0.009102975845336914,
0.009126367568969727,
0.008976351737976075,
0.00911292839050293,
0.009099136352539063,
0.009087103843688965,
0.009151040077209472,
0.009114975929260255,
0.009046815872192382,
0.00950160026550293,
0.009085984230041503,
0.00915503978729248,
0.00916710376739502,
0.00922755241394043,
0.00912185573577881,
0.009001919746398926,
0.00920240020751953,
0.009031167984008789,
0.009056159973144531,
0.009100159645080567,
0.009245120048522949,
0.009236512184143066,
0.00927235221862793,
0.008783488273620606,
0.00899824047088623,
0.00853270435333252,
0.009065024375915528,
0.009152895927429199,
0.009124671936035156,
0.008879360198974609,
0.008708928108215332,
0.008713695526123047,
0.008415040016174316,
0.008377504348754884,
0.008393280029296875,
0.008623488426208496,
0.008375712394714355,
0.008381728172302247,
0.008404735565185548,
0.008361887931823731,
0.008417792320251465,
0.008362591743469238,
0.008388447761535644,
0.008386240005493165,
0.00841584014892578,
0.008369440078735352,
0.008412287712097169,
0.00839145565032959,
0.008502367973327637,
0.008377120018005372,
0.008414143562316895,
0.008382719993591308,
0.008405119895935058,
0.008380864143371582,
0.008562496185302734,
0.008725279808044434
]
},
"throughput": {
"unit": "tokens/s",
"value": 113.43837605129887
},
"energy": {
"unit": "kWh",
"cpu": 9.547086063853322e-08,
"ram": 5.219590885864254e-08,
"gpu": 1.816417481229883e-07,
"total": 3.293085176201642e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3036666.063868516
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 57,
"total": 0.9963274173736575,
"mean": 0.01747942837497644,
"stdev": 0.0006923864430788794,
"p50": 0.017605632781982423,
"p90": 0.01823068161010742,
"p95": 0.01840373764038086,
"p99": 0.018786590576171876,
"values": [
0.018634752273559572,
0.018396160125732423,
0.01802342414855957,
0.017903615951538086,
0.017921024322509766,
0.018167808532714845,
0.017931264877319338,
0.01820057678222656,
0.018085887908935547,
0.018159616470336915,
0.018979839324951172,
0.017966079711914062,
0.018077695846557617,
0.0182108154296875,
0.01820364761352539,
0.01804595184326172,
0.01794047927856445,
0.01822003173828125,
0.01782374382019043,
0.017870847702026366,
0.0179814395904541,
0.01843404769897461,
0.01824665641784668,
0.018103296279907227,
0.017605632781982423,
0.017728511810302734,
0.017141759872436522,
0.017711103439331053,
0.018157567977905274,
0.018338815689086914,
0.017596416473388672,
0.017315839767456053,
0.017321983337402345,
0.017047552108764647,
0.016704511642456055,
0.016665599822998048,
0.016913408279418944,
0.01663795280456543,
0.016694271087646484,
0.016679935455322266,
0.016660480499267577,
0.0166748161315918,
0.016662527084350585,
0.016656383514404297,
0.016688127517700196,
0.016691200256347655,
0.016655359268188476,
0.016673791885375978,
0.01664204788208008,
0.01676697540283203,
0.016664575576782227,
0.016901119232177735,
0.016695295333862305,
0.016671743392944336,
0.016663551330566406,
0.016841728210449217,
0.017328128814697266
]
},
"throughput": {
"unit": "tokens/s",
"value": 57.21010885182038
},
"energy": null,
"efficiency": null
}
}
}