IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
fe676a7 verified
raw
history blame
14.6 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_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": false,
"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 7643 48-Core Processor",
"cpu_count": 96,
"cpu_ram_mb": 1082028.982272,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "3e7bebdc507bc4e37dce5660074b7586de6b39b2",
"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": 902.004736,
"max_global_vram": 1011.740672,
"max_process_vram": 42871.750656,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 6.81142333984375,
"mean": 6.81142333984375,
"stdev": 0.0,
"p50": 6.81142333984375,
"p90": 6.81142333984375,
"p95": 6.81142333984375,
"p99": 6.81142333984375,
"values": [
6.81142333984375
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1056.19456,
"max_global_vram": 1107.480576,
"max_process_vram": 270311.411712,
"max_reserved": 725.614592,
"max_allocated": 513.035264
},
"latency": {
"unit": "s",
"count": 59,
"total": 0.5335619149208068,
"mean": 0.009043422286793338,
"stdev": 0.008074031716942815,
"p50": 0.00786915111541748,
"p90": 0.008259680175781249,
"p95": 0.008797506904602051,
"p99": 0.03482232563018809,
"values": [
0.008917314529418945,
0.008984834671020507,
0.008784194946289063,
0.008328513145446777,
0.008259072303771972,
0.008183072090148926,
0.008262111663818359,
0.008254112243652344,
0.0077689909934997555,
0.007861310958862305,
0.07050267028808593,
0.007904510974884033,
0.007826271057128907,
0.007937470912933349,
0.007799389839172363,
0.007814751148223878,
0.007821150779724121,
0.007859230041503906,
0.00786067008972168,
0.007834589958190918,
0.007812990188598632,
0.007842910766601563,
0.007844030857086182,
0.007946431159973144,
0.007972511768341064,
0.007841149806976318,
0.007852991104125977,
0.007833630084991454,
0.00786915111541748,
0.007837790966033936,
0.007871551036834717,
0.007861950874328612,
0.007833311080932617,
0.00785571002960205,
0.00784083080291748,
0.007860509872436524,
0.007881309986114502,
0.007876670837402344,
0.007836349964141846,
0.008203871726989746,
0.008229472160339356,
0.008158432006835938,
0.008191871643066406,
0.008042911529541015,
0.008058911323547363,
0.008005790710449219,
0.007826430797576904,
0.00786803102493286,
0.007908350944519043,
0.00789394998550415,
0.008005471229553222,
0.008104511260986328,
0.007841630935668946,
0.007829309940338135,
0.007899230003356933,
0.007785790920257568,
0.00782611083984375,
0.007857629776000977,
0.007888191223144532
]
},
"throughput": {
"unit": "tokens/s",
"value": 221.15521498102794
},
"energy": null,
"efficiency": null
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1056.391168,
"max_global_vram": 1107.529728,
"max_process_vram": 275260.919808,
"max_reserved": 725.614592,
"max_allocated": 513.259008
},
"latency": {
"unit": "s",
"count": 59,
"total": 0.46761926269531245,
"mean": 0.007925750215174788,
"stdev": 0.000279410707205547,
"p50": 0.007836669921875,
"p90": 0.008148031044006347,
"p95": 0.008413265514373778,
"p99": 0.008991849555969239,
"values": [
0.008674914360046387,
0.008756513595581055,
0.008302271842956543,
0.008146270751953125,
0.008031230926513672,
0.008094911575317382,
0.009316837310791016,
0.007800990104675293,
0.0077942700386047364,
0.007831231117248535,
0.008384193420410156,
0.007836669921875,
0.007761469841003418,
0.007735710144042968,
0.0077483501434326175,
0.007793310165405273,
0.007829790115356445,
0.007788190841674805,
0.007743071079254151,
0.007815391063690185,
0.0078419508934021,
0.0077709097862243654,
0.007669950008392334,
0.00804211139678955,
0.008001311302185059,
0.007852510929107666,
0.0079150710105896,
0.0078112311363220215,
0.0077734699249267574,
0.007801949977874756,
0.00785827112197876,
0.007906270027160645,
0.007816990852355958,
0.007861791133880615,
0.007868990898132325,
0.007761950969696045,
0.007858750820159912,
0.007835550785064697,
0.008019710540771484,
0.008139230728149415,
0.008052350997924805,
0.008155072212219238,
0.007964830875396728,
0.007892189979553222,
0.008037951469421387,
0.00781539011001587,
0.007726749897003174,
0.007729310035705567,
0.007805469989776611,
0.007706430912017823,
0.007844510078430176,
0.00787571096420288,
0.007728670120239258,
0.0076774702072143555,
0.00789107084274292,
0.007792990207672119,
0.007662590026855469,
0.007805470943450928,
0.007861470222473145
]
},
"throughput": {
"unit": "tokens/s",
"value": 126.17102139875433
},
"energy": null,
"efficiency": null
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 59,
"total": 0.4219656443595886,
"mean": 0.007151960073891331,
"stdev": 0.000273727394341104,
"p50": 0.007050588130950928,
"p90": 0.007361884307861328,
"p95": 0.00756111726760864,
"p99": 0.008238352146148683,
"values": [
0.007867550849914551,
0.0079947509765625,
0.007497629165649414,
0.0073150677680969235,
0.007210907936096192,
0.007229147911071777,
0.008574753761291505,
0.006972026824951172,
0.006968667030334472,
0.007069307804107666,
0.007527069091796875,
0.007016026973724365,
0.006938746929168701,
0.006987387180328369,
0.006958426952362061,
0.007056827068328857,
0.00704738712310791,
0.007037308216094971,
0.007025467872619629,
0.0071248278617858886,
0.007042428016662597,
0.007031867027282715,
0.006974106788635254,
0.007182107925415039,
0.0072245078086853026,
0.007060028076171875,
0.007152187824249268,
0.007044347763061523,
0.007046747207641602,
0.007029946804046631,
0.007050588130950928,
0.007045466899871827,
0.007055068016052246,
0.007126587867736817,
0.007044187068939209,
0.007056188106536865,
0.007023548126220703,
0.007053466796875,
0.007372509002685547,
0.00733762788772583,
0.0073592281341552735,
0.007315868854522705,
0.007195548057556152,
0.007219227790832519,
0.007196988105773926,
0.007035546779632569,
0.007012187004089355,
0.006999386787414551,
0.007111708164215088,
0.006984188079833985,
0.007041147232055664,
0.007095387935638428,
0.0069654669761657715,
0.0069657878875732425,
0.007049307823181152,
0.006976346969604492,
0.006953466892242432,
0.006999388217926026,
0.007116668224334717
]
},
"throughput": {
"unit": "tokens/s",
"value": 139.82180963936884
},
"energy": null,
"efficiency": null
}
}
}