IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
d7d8591 verified
raw
history blame
17 kB
{
"config": {
"name": "cuda_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.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": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 792.285184,
"max_global_vram": 1355.28448,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 666.338304
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.436859375,
"mean": 7.436859375,
"stdev": 0.0,
"p50": 7.436859375,
"p90": 7.436859375,
"p95": 7.436859375,
"p99": 7.436859375,
"values": [
7.436859375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0176097055557184e-06,
"ram": 5.227645665372101e-07,
"gpu": 1.775834753999948e-06,
"total": 3.3162090260928763e-06
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1214.377984,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.210304
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.4884998078346253,
"mean": 0.0067847195532586835,
"stdev": 0.0002620241858027986,
"p50": 0.0068559360504150384,
"p90": 0.00708528299331665,
"p95": 0.007115097522735595,
"p99": 0.007232407741546632,
"values": [
0.007416575908660889,
0.007005887985229492,
0.007133120059967041,
0.006900320053100586,
0.007027647972106934,
0.006783616065979004,
0.006889056205749511,
0.007070655822753906,
0.007051904201507569,
0.00715718412399292,
0.007042111873626709,
0.007055583953857422,
0.0070865597724914554,
0.00688431978225708,
0.0070373439788818356,
0.006845088005065918,
0.006966303825378418,
0.006855167865753174,
0.00690886402130127,
0.006978975772857666,
0.007073791980743408,
0.00700758409500122,
0.006819712162017822,
0.007090367794036865,
0.006917503833770752,
0.006948607921600342,
0.006799744129180908,
0.006897183895111084,
0.006791967868804932,
0.006879648208618164,
0.006890560150146484,
0.006856704235076904,
0.007087711811065674,
0.007100351810455322,
0.007140096187591553,
0.007008319854736328,
0.006766784191131592,
0.007001696109771728,
0.006746784210205078,
0.006733280181884765,
0.006619967937469482,
0.006405407905578613,
0.006587103843688965,
0.006902976036071777,
0.006974976062774658,
0.006880864143371582,
0.006767072200775146,
0.006739808082580566,
0.006860671997070312,
0.006577248096466064,
0.006574143886566162,
0.006552768230438232,
0.006516255855560303,
0.00669484806060791,
0.006683616161346435,
0.006516064167022705,
0.006554912090301514,
0.006558911800384521,
0.006532735824584961,
0.006524127960205078,
0.0064869441986083985,
0.006343167781829834,
0.006360095977783203,
0.0063638720512390135,
0.006311232089996338,
0.006324512004852295,
0.0063833918571472165,
0.006311071872711182,
0.006346015930175781,
0.0068897600173950194,
0.006419487953186035,
0.006281087875366211
]
},
"throughput": {
"unit": "tokens/s",
"value": 294.7800545476349
},
"energy": {
"unit": "kWh",
"cpu": 7.905770745370478e-08,
"ram": 4.31493517024398e-08,
"gpu": 1.5350567835999776e-07,
"total": 2.7571273751614233e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7253926.742803838
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1232.785408,
"max_global_vram": 1365.77024,
"max_process_vram": 0.0,
"max_reserved": 725.614592,
"max_allocated": 522.434048
},
"latency": {
"unit": "s",
"count": 72,
"total": 0.5109558410644531,
"mean": 0.00709660890367296,
"stdev": 0.00028627612047045205,
"p50": 0.007167536020278931,
"p90": 0.00737567024230957,
"p95": 0.0074333744525909426,
"p99": 0.007725501041412354,
"values": [
0.007342751979827881,
0.007374720096588135,
0.007324416160583496,
0.007348639965057373,
0.007129312038421631,
0.007217440128326416,
0.007338272094726562,
0.0073465280532836914,
0.007541152000427246,
0.007232704162597656,
0.007372000217437744,
0.0073137922286987305,
0.007330016136169433,
0.00739631986618042,
0.0072689599990844725,
0.007059232234954834,
0.007167136192321778,
0.007197216033935547,
0.007414783954620361,
0.007360576152801513,
0.007345664024353027,
0.007456096172332763,
0.00727126407623291,
0.007274720191955566,
0.007371103763580323,
0.007202623844146728,
0.00737667179107666,
0.007370431900024414,
0.007139711856842041,
0.007196000099182129,
0.007175456047058106,
0.007357120037078857,
0.007375775814056396,
0.007731840133666992,
0.007351295948028564,
0.007253215789794922,
0.007248447895050049,
0.007033599853515625,
0.006842656135559082,
0.0071346559524536135,
0.006665952205657959,
0.006633120059967041,
0.007167935848236084,
0.007145696163177491,
0.007722911834716797,
0.007198495864868164,
0.006974592208862305,
0.00712278413772583,
0.00689299201965332,
0.0069213762283325195,
0.00684611177444458,
0.006845600128173828,
0.0068249602317810056,
0.006816895961761474,
0.006831295967102051,
0.006807936191558838,
0.006799839973449707,
0.006843423843383789,
0.006812704086303711,
0.006814015865325928,
0.006806464195251465,
0.007007423877716064,
0.006613855838775635,
0.00667087984085083,
0.006605728149414063,
0.0065842242240905765,
0.0066085438728332516,
0.00664134407043457,
0.006988927841186523,
0.0068534078598022465,
0.006679391860961914,
0.006622687816619873
]
},
"throughput": {
"unit": "tokens/s",
"value": 140.91237287747876
},
"energy": {
"unit": "kWh",
"cpu": 7.472450014008737e-08,
"ram": 4.093313628639126e-08,
"gpu": 1.4534376706857492e-07,
"total": 2.6100140349505346e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 3831397.0216598934
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 72,
"total": 0.4773618230819703,
"mean": 0.006630025320582919,
"stdev": 0.00023173705264020606,
"p50": 0.006689280033111572,
"p90": 0.006864511775970459,
"p95": 0.006914374399185181,
"p99": 0.0071169719791412366,
"values": [
0.0068321280479431154,
0.0068607678413391115,
0.006811647891998291,
0.006825984001159668,
0.006639520168304444,
0.006708223819732666,
0.006796288013458252,
0.006818816184997558,
0.0070236802101135256,
0.006702079772949219,
0.0068392958641052244,
0.0067758078575134275,
0.006799456119537354,
0.00687820816040039,
0.006761504173278809,
0.006569983959197998,
0.006654975891113281,
0.006689824104309082,
0.006884479999542236,
0.006840320110321045,
0.006822912216186523,
0.00695091199874878,
0.006754303932189941,
0.006767615795135498,
0.00684441614151001,
0.006703104019165039,
0.006880159854888916,
0.006864927768707276,
0.006631552219390869,
0.006688767910003662,
0.006660096168518067,
0.00683622407913208,
0.006850560188293457,
0.007197696208953858,
0.006845439910888672,
0.006758336067199707,
0.006739967823028564,
0.006568960189819336,
0.006426623821258545,
0.006643551826477051,
0.006278143882751465,
0.006244351863861084,
0.006690752029418945,
0.006689792156219483,
0.007084000110626221,
0.006779903888702392,
0.0065177597999572755,
0.006690815925598144,
0.006488031864166259,
0.006534143924713135,
0.006445055961608887,
0.006407167911529541,
0.006435840129852295,
0.006406144142150879,
0.00643891191482544,
0.006416287899017334,
0.0064019842147827145,
0.0064471039772033695,
0.006415328025817871,
0.006408127784729004,
0.0064143362045288085,
0.006619135856628418,
0.00623308801651001,
0.00626691198348999,
0.0062267518043518065,
0.006206463813781738,
0.006203392028808594,
0.006232063770294189,
0.006588543891906738,
0.006467584133148193,
0.006299647808074951,
0.006235136032104492
]
},
"throughput": {
"unit": "tokens/s",
"value": 150.8289865644252
},
"energy": null,
"efficiency": null
}
}
}