IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
a5f62c8 verified
raw
history blame
11.6 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"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": "0.34.0",
"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": 788.201472,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.3738916015625,
"mean": 7.3738916015625,
"stdev": 0.0,
"p50": 7.3738916015625,
"p90": 7.3738916015625,
"p95": 7.3738916015625,
"p99": 7.3738916015625,
"values": [
7.3738916015625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 8.653178263885922e-07,
"ram": 4.584137916818688e-07,
"gpu": 0.0,
"total": 1.3237316180704611e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1084.112896,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.038592
},
"latency": {
"unit": "s",
"count": 133,
"total": 0.9968165755271909,
"mean": 0.007494861470129257,
"stdev": 0.000339218940209733,
"p50": 0.007535615921020508,
"p90": 0.007839129734039305,
"p95": 0.007880703926086426,
"p99": 0.008829561920166018,
"values": [
0.00794316816329956,
0.007880703926086426,
0.007890944004058837,
0.007867392063140868,
0.00774348783493042,
0.0075980801582336424,
0.007864319801330566,
0.007820288181304931,
0.007579648017883301,
0.007610367774963379,
0.0075970239639282225,
0.0077506561279296875,
0.0075335679054260255,
0.0077199358940124516,
0.007766016006469726,
0.007658495903015137,
0.007599040031433106,
0.007623680114746094,
0.007589888095855713,
0.007514111995697022,
0.007543807983398438,
0.007672832012176513,
0.007591936111450195,
0.007610367774963379,
0.007609344005584716,
0.007609344005584716,
0.007584767818450928,
0.007707647800445557,
0.007878655910491944,
0.007868415832519531,
0.007781375885009765,
0.007591936111450195,
0.007498752117156982,
0.007523327827453613,
0.007535615921020508,
0.007535615921020508,
0.007574528217315674,
0.00760319995880127,
0.007639039993286132,
0.007624703884124756,
0.007616511821746826,
0.007600128173828125,
0.007579648017883301,
0.009174015998840332,
0.008943584442138672,
0.00858726406097412,
0.007854080200195313,
0.0077844481468200685,
0.00780083179473877,
0.00774348783493042,
0.007734272003173828,
0.00754585599899292,
0.007615488052368164,
0.007542816162109375,
0.007526400089263916,
0.0075304961204528805,
0.007547904014587403,
0.007544832229614258,
0.007494656085968018,
0.007523263931274414,
0.007576576232910156,
0.007684095859527588,
0.007666687965393066,
0.0076277761459350585,
0.007617536067962646,
0.007573503971099854,
0.007558144092559814,
0.0075632638931274416,
0.007488512039184571,
0.007588831901550293,
0.0074925761222839355,
0.007512063980102539,
0.007391232013702393,
0.007359488010406494,
0.007497727870941162,
0.007372799873352051,
0.007176191806793213,
0.0071905279159545895,
0.007226367950439453,
0.0077506561279296875,
0.007773183822631836,
0.007792640209197998,
0.0078438401222229,
0.007911424160003662,
0.007880703926086426,
0.007517183780670166,
0.007425024032592774,
0.007362559795379638,
0.007411712169647216,
0.007455743789672851,
0.0073062400817871095,
0.007286784172058106,
0.007364607810974121,
0.007729152202606201,
0.007387135982513428,
0.007416831970214844,
0.007153664112091064,
0.00709939193725586,
0.0070860800743103025,
0.007057407855987549,
0.007104512214660645,
0.007109632015228271,
0.0070830078125,
0.007129087924957276,
0.007072703838348389,
0.007074816226959229,
0.0070891518592834475,
0.007094272136688232,
0.007160831928253173,
0.007138304233551026,
0.007174143791198731,
0.007221248149871826,
0.0071485438346862796,
0.007161856174468994,
0.0070850238800048825,
0.0070860800743103025,
0.007098368167877197,
0.007090176105499267,
0.007085055828094483,
0.00713318395614624,
0.007110655784606934,
0.007062528133392334,
0.007108607769012451,
0.007072768211364746,
0.007080959796905518,
0.007078911781311035,
0.007063551902770996,
0.0071157760620117185,
0.0071157760620117185,
0.007131135940551757,
0.007117824077606201,
0.0071188478469848635,
0.007097343921661377
]
},
"throughput": {
"unit": "samples/s",
"value": 133.42474760680986
},
"energy": {
"unit": "kWh",
"cpu": 8.852724996890976e-08,
"ram": 4.833838955793149e-08,
"gpu": 1.6385377950746162e-07,
"total": 3.007194190343029e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3325358.911676836
}
}
}
}