IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
8ec38af verified
raw
history blame
11.8 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_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": 66697.293824,
"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": 719.532032,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.14902197265625,
"mean": 7.14902197265625,
"stdev": 0.0,
"p50": 7.14902197265625,
"p90": 7.14902197265625,
"p95": 7.14902197265625,
"p99": 7.14902197265625,
"values": [
7.14902197265625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.31963324546814e-07,
"ram": 4.676957563968169e-07,
"gpu": 1.720001376000202e-06,
"total": 3.119660456943833e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 919.3472,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.038592
},
"latency": {
"unit": "s",
"count": 139,
"total": 1.0013193273544312,
"mean": 0.007203736168017489,
"stdev": 0.00030689132772038544,
"p50": 0.0072120318412780765,
"p90": 0.007609344005584716,
"p95": 0.007687273693084717,
"p99": 0.0078451917552948,
"values": [
0.007822336196899414,
0.00785920000076294,
0.0074926080703735356,
0.0074065918922424315,
0.007342080116271973,
0.007767039775848389,
0.007390207767486572,
0.007332799911499023,
0.0072673921585083,
0.0072427520751953125,
0.007235583782196045,
0.007136256217956543,
0.007141471862792969,
0.007188479900360107,
0.0072120318412780765,
0.007280640125274658,
0.007236608028411865,
0.007250944137573242,
0.007269375801086426,
0.007193600177764893,
0.00723145580291748,
0.0073062400817871095,
0.007261184215545655,
0.007307263851165771,
0.007290880203247071,
0.007235648155212403,
0.007215104103088379,
0.007177216053009033,
0.007238592147827148,
0.00722537612915039,
0.007172095775604248,
0.007121920108795166,
0.007094272136688232,
0.007204864025115967,
0.0071792640686035155,
0.007143424034118652,
0.007184383869171143,
0.007142399787902832,
0.0073134078979492185,
0.007305215835571289,
0.007260159969329834,
0.00728169584274292,
0.007205887794494629,
0.007136256217956543,
0.007221248149871826,
0.007244800090789795,
0.007234560012817383,
0.007983104228973388,
0.007620543956756592,
0.00755398416519165,
0.007542719841003418,
0.007515135765075683,
0.007703551769256592,
0.007679999828338623,
0.007568384170532226,
0.007575551986694336,
0.0075970559120178225,
0.007569375991821289,
0.007557119846343994,
0.007554048061370849,
0.007614463806152344,
0.007688223838806152,
0.0076574721336364745,
0.007609344005584716,
0.0076871681213378906,
0.007609344005584716,
0.007662591934204102,
0.007531519889831543,
0.007607295989990235,
0.007565311908721924,
0.00749567985534668,
0.007388160228729248,
0.007324672222137451,
0.007469056129455566,
0.007396351814270019,
0.007319551944732666,
0.0072930240631103515,
0.007305215835571289,
0.007356416225433349,
0.007417856216430664,
0.007542784214019775,
0.007543807983398438,
0.007602176189422607,
0.007777279853820801,
0.007553023815155029,
0.007114751815795899,
0.007071743965148926,
0.007013376235961914,
0.007087103843688965,
0.007061503887176514,
0.007065599918365479,
0.007039999961853028,
0.00707583999633789,
0.007053311824798584,
0.007095295906066895,
0.007021567821502686,
0.007063551902770996,
0.0070563840866088865,
0.007028672218322754,
0.007035903930664063,
0.007017471790313721,
0.007068672180175781,
0.007036863803863525,
0.007073791980743408,
0.007057407855987549,
0.007068672180175781,
0.007053279876708984,
0.006956031799316406,
0.006813695907592773,
0.006821887969970703,
0.0067952961921691896,
0.00679423999786377,
0.0068280320167541505,
0.0068055038452148435,
0.0068249602317810056,
0.006801407814025879,
0.006823935985565186,
0.006822912216186523,
0.006788095951080322,
0.006842368125915528,
0.00682700777053833,
0.006800384044647217,
0.006770688056945801,
0.0067993922233581545,
0.006797311782836914,
0.006776832103729248,
0.006763519763946534,
0.006740992069244385,
0.006729728221893311,
0.006706175804138184,
0.006731776237487793,
0.006729728221893311,
0.006716415882110595,
0.006722559928894043,
0.006730751991271973,
0.006708191871643066,
0.006725632190704346,
0.006730751991271973,
0.006791168212890625
]
},
"throughput": {
"unit": "samples/s",
"value": 138.81685512577647
},
"energy": {
"unit": "kWh",
"cpu": 8.329952189231344e-08,
"ram": 4.553810321037446e-08,
"gpu": 1.559791457622435e-07,
"total": 2.848167708649314e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3511029.2029616116
}
}
}
}