IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
f9442c3 verified
raw
history blame
12.7 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"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": 66697.293824,
"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": "0.32.1",
"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": 720.744448,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.16699853515625,
"mean": 7.16699853515625,
"stdev": 0.0,
"p50": 7.16699853515625,
"p90": 7.16699853515625,
"p95": 7.16699853515625,
"p99": 7.16699853515625,
"values": [
7.16699853515625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.067700485388438e-06,
"ram": 5.596336008346725e-07,
"gpu": 1.8783348360003685e-06,
"total": 3.5056689222234794e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 913.739776,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"count": 158,
"total": 0.9972090568542479,
"mean": 0.006311449726925621,
"stdev": 0.00021138440701416882,
"p50": 0.006268415927886963,
"p90": 0.006559129476547242,
"p95": 0.006849894547462463,
"p99": 0.006969497637748718,
"values": [
0.006972415924072266,
0.006967296123504638,
0.006912000179290771,
0.006919167995452881,
0.006541376113891602,
0.006791168212890625,
0.006848512172698974,
0.006737919807434082,
0.006871039867401123,
0.006846464157104492,
0.006867968082427979,
0.007098368167877197,
0.006338560104370118,
0.006094848155975342,
0.006073344230651856,
0.006053887844085694,
0.006150144100189209,
0.00601804780960083,
0.006043647766113281,
0.006037504196166992,
0.005992479801177978,
0.006102015972137451,
0.006005760192871094,
0.006047743797302246,
0.0060067839622497555,
0.006023104190826416,
0.0059996161460876465,
0.006033408164978027,
0.005993472099304199,
0.006038527965545654,
0.0065474557876586915,
0.006334464073181153,
0.006239232063293457,
0.00626585578918457,
0.006271999835968017,
0.0062341117858886715,
0.006248447895050049,
0.006295551776885986,
0.006232096195220947,
0.006239232063293457,
0.006334464073181153,
0.006255616188049316,
0.00623308801651001,
0.006278143882751465,
0.006223872184753418,
0.006326272010803223,
0.006300672054290772,
0.006259712219238281,
0.00621670389175415,
0.0062044157981872555,
0.006237184047698975,
0.006213632106781006,
0.006247424125671387,
0.006223872184753418,
0.006254591941833496,
0.006242303848266601,
0.0062197761535644535,
0.006269951820373535,
0.006221824169158936,
0.00626585578918457,
0.006246399879455566,
0.006269951820373535,
0.006276095867156982,
0.006211584091186524,
0.006247424125671387,
0.006236127853393555,
0.0062638077735900875,
0.00679423999786377,
0.006415359973907471,
0.006292479991912842,
0.006214655876159668,
0.006238207817077636,
0.006235136032104492,
0.006248447895050049,
0.006367231845855713,
0.00621670389175415,
0.006258656024932861,
0.006220799922943115,
0.006314943790435791,
0.006364160060882569,
0.006353951930999756,
0.00628326416015625,
0.006322175979614258,
0.006386688232421875,
0.006223872184753418,
0.006253568172454834,
0.006214655876159668,
0.0062341117858886715,
0.006268928050994873,
0.006264832019805908,
0.006412288188934326,
0.006214655876159668,
0.006290400028228759,
0.0062679038047790524,
0.006304768085479737,
0.0062494721412658695,
0.00636518383026123,
0.006264832019805908,
0.006212607860565185,
0.006345727920532227,
0.006221824169158936,
0.006209536075592041,
0.006463488101959228,
0.00632422399520874,
0.006421504020690918,
0.0065075201988220215,
0.006388735771179199,
0.0064655041694641115,
0.006378496170043945,
0.006459392070770263,
0.006391808032989502,
0.006237184047698975,
0.006367231845855713,
0.00626691198348999,
0.00628326416015625,
0.006280191898345947,
0.006203392028808594,
0.006280191898345947,
0.00622489595413208,
0.006278143882751465,
0.00622489595413208,
0.006273024082183838,
0.0063508481979370115,
0.006337535858154297,
0.0062873601913452145,
0.006315008163452148,
0.0062791681289672855,
0.006303743839263916,
0.006586368083953857,
0.006277120113372803,
0.006223872184753418,
0.006269951820373535,
0.0062269439697265625,
0.006258687973022461,
0.0062863359451293946,
0.006294528007507324,
0.006363103866577149,
0.006335487842559814,
0.006333439826965332,
0.006231040000915527,
0.006393856048583985,
0.006297664165496826,
0.006220799922943115,
0.006246399879455566,
0.00623308801651001,
0.006384640216827392,
0.006060031890869141,
0.006050816059112549,
0.005984255790710449,
0.006039552211761475,
0.005986303806304932,
0.006689792156219483,
0.006307839870452881,
0.006318079948425293,
0.006346752166748047,
0.006662144184112549,
0.0068577280044555666,
0.006386688232421875
]
},
"throughput": {
"unit": "samples/s",
"value": 158.44220318096575
},
"energy": {
"unit": "kWh",
"cpu": 7.251219213170411e-08,
"ram": 3.964221186618507e-08,
"gpu": 1.4261359647560545e-07,
"total": 2.5476800047349464e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3925139.7276795646
}
}
}
}