IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
a191cfc 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": 66697.293824,
"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": "0.3.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.4",
"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": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 720.621568,
"max_global_vram": 1355.28448,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.21084814453125,
"mean": 7.21084814453125,
"stdev": 0.0,
"p50": 7.21084814453125,
"p90": 7.21084814453125,
"p95": 7.21084814453125,
"p99": 7.21084814453125,
"values": [
7.21084814453125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.008609433968862e-06,
"ram": 5.246131127719878e-07,
"gpu": 1.7555569599998072e-06,
"total": 3.288779506740657e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1034.969088,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.4883361897468566,
"mean": 0.0067824470798174535,
"stdev": 0.000296765367943103,
"p50": 0.0067403998374938965,
"p90": 0.007164432191848755,
"p95": 0.007193203139305115,
"p99": 0.007321703777313233,
"values": [
0.0072007360458374026,
0.007187039852142334,
0.007325247764587402,
0.0070841917991638186,
0.007063871860504151,
0.006966879844665527,
0.0070293121337890625,
0.006997439861297607,
0.007107039928436279,
0.007079296112060547,
0.00687388801574707,
0.007183008193969727,
0.007034815788269043,
0.007077695846557618,
0.006910751819610596,
0.006891615867614746,
0.006962624073028565,
0.007048736095428467,
0.007303584098815918,
0.00716534423828125,
0.007111551761627197,
0.007057119846343994,
0.007134304046630859,
0.007156223773956299,
0.006893631935119629,
0.00714188814163208,
0.0071833920478820805,
0.0067405118942260745,
0.0067402877807617185,
0.006688255786895752,
0.0069110078811645504,
0.006940351963043213,
0.007320256233215332,
0.0071561598777771,
0.006718976020812988,
0.006593920230865478,
0.006412191867828369,
0.006675392150878906,
0.006691135883331299,
0.006762752056121826,
0.006795487880706787,
0.006923808097839356,
0.007135839939117432,
0.006617824077606201,
0.006500063896179199,
0.006437088012695312,
0.006448575973510742,
0.006530240058898926,
0.006442848205566406,
0.006513760089874267,
0.006516255855560303,
0.006437983989715576,
0.006479936122894287,
0.006494463920593262,
0.006537439823150634,
0.00649948787689209,
0.006513504028320313,
0.006466847896575928,
0.00646124792098999,
0.006487040042877197,
0.006680768013000488,
0.006480095863342285,
0.0064776639938354495,
0.006446720123291016,
0.006449567794799805,
0.006509632110595703,
0.006454400062561035,
0.0064646401405334475,
0.006469120025634765,
0.006448671817779541,
0.006426047801971435,
0.006266687870025635
]
},
"throughput": {
"unit": "tokens/s",
"value": 294.8788212371617
},
"energy": {
"unit": "kWh",
"cpu": 7.663686642937337e-08,
"ram": 4.19014993323233e-08,
"gpu": 1.4909330923870633e-07,
"total": 2.67631675000403e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7472957.003303098
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1050.341376,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.517005856513977,
"mean": 0.007180636896027459,
"stdev": 0.0003237761090755441,
"p50": 0.007211744070053101,
"p90": 0.007592262411117554,
"p95": 0.007629665613174439,
"p99": 0.007743868732452393,
"values": [
0.007394207954406738,
0.007816800117492676,
0.007498559951782227,
0.007205952167510987,
0.007512703895568847,
0.007502495765686035,
0.007656576156616211,
0.00743123197555542,
0.007666336059570312,
0.007575071811676025,
0.007594048023223877,
0.007604000091552735,
0.007532063961029053,
0.007516672134399414,
0.007329599857330322,
0.007426239967346191,
0.007567840099334717,
0.007429823875427246,
0.007596704006195068,
0.007607647895812988,
0.007353856086730957,
0.007714079856872559,
0.007520895957946777,
0.007444672107696533,
0.00747760009765625,
0.007552063941955566,
0.007301792144775391,
0.007133344173431397,
0.007070335865020752,
0.007217535972595215,
0.0072555837631225585,
0.007576191902160644,
0.0074984321594238285,
0.007383647918701172,
0.007375103950500488,
0.006965055942535401,
0.007123199939727784,
0.006766848087310791,
0.006835616111755371,
0.0072631678581237796,
0.007369247913360596,
0.007405824184417724,
0.00735206413269043,
0.006950784206390381,
0.006846208095550537,
0.006839871883392334,
0.006904032230377197,
0.006973311901092529,
0.006869247913360596,
0.00687059211730957,
0.006848703861236572,
0.006849696159362793,
0.006829984188079834,
0.006797023773193359,
0.006855264186859131,
0.0068726720809936526,
0.006800992012023926,
0.006892096042633056,
0.006805088043212891,
0.006831232070922851,
0.007005504131317139,
0.006861504077911377,
0.006829023838043213,
0.006861311912536621,
0.006797984123229981,
0.0068139200210571285,
0.006839776039123535,
0.006758848190307617,
0.006797599792480469,
0.006788959980010986,
0.006772192001342774,
0.006821695804595947
]
},
"throughput": {
"unit": "tokens/s",
"value": 139.2634127695873
},
"energy": {
"unit": "kWh",
"cpu": 7.316826901923267e-08,
"ram": 4.000649188419968e-08,
"gpu": 1.4174025676129715e-07,
"total": 2.5491501766472947e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3922875.9810268404
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 72,
"total": 0.48343763208389273,
"mean": 0.006714411556720733,
"stdev": 0.0002686805374469164,
"p50": 0.006699519872665405,
"p90": 0.007058943891525268,
"p95": 0.0071072257280349735,
"p99": 0.0072047306966781625,
"values": [
0.006863872051239014,
0.007279615879058838,
0.0069847040176391605,
0.006702079772949219,
0.007013376235961914,
0.006985727787017822,
0.007128064155578613,
0.00689356803894043,
0.007150591850280762,
0.0070522880554199216,
0.007068672180175781,
0.007090176105499267,
0.0069959678649902345,
0.007007232189178467,
0.006779903888702392,
0.006917119979858399,
0.0070594558715820314,
0.006900735855102539,
0.007054336071014404,
0.00708403205871582,
0.006840320110321045,
0.007174143791198731,
0.006990848064422607,
0.006905856132507324,
0.006965312004089355,
0.006993919849395752,
0.0067983360290527345,
0.006624256134033203,
0.006559743881225586,
0.006696959972381592,
0.00673689603805542,
0.007047167778015137,
0.006978559970855713,
0.006889472007751465,
0.00687718391418457,
0.006499328136444092,
0.006621183872222901,
0.0063610877990722655,
0.0064102401733398436,
0.006808576107025147,
0.006818816184997558,
0.006897664070129395,
0.006892543792724609,
0.006559743881225586,
0.006419456005096436,
0.006448128223419189,
0.006511616230010986,
0.006515711784362793,
0.0064778242111206055,
0.0064737281799316405,
0.006449151992797852,
0.006458367824554443,
0.00643174409866333,
0.006403071880340576,
0.006460415840148926,
0.0064778242111206055,
0.006409215927124024,
0.006497280120849609,
0.006408192157745361,
0.00643891191482544,
0.0066078720092773435,
0.006459392070770263,
0.006432767868041992,
0.006468607902526856,
0.006408192157745361,
0.00642252779006958,
0.00643891191482544,
0.006370304107666015,
0.006406144142150879,
0.006386688232421875,
0.006375423908233643,
0.0064204797744750975
]
},
"throughput": {
"unit": "tokens/s",
"value": 148.93337883035463
},
"energy": null,
"efficiency": null
}
}
}