IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
76edc18 verified
raw
history blame
11.7 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": 719.818752,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.2005234375,
"mean": 7.2005234375,
"stdev": 0.0,
"p50": 7.2005234375,
"p90": 7.2005234375,
"p95": 7.2005234375,
"p99": 7.2005234375,
"values": [
7.2005234375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.14078950881958e-07,
"ram": 4.73466940302482e-07,
"gpu": 0.0,
"total": 1.38754589118444e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 919.392256,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.038592
},
"latency": {
"unit": "s",
"count": 136,
"total": 0.9990100469589235,
"mean": 0.007345662109992083,
"stdev": 0.00019574673009879892,
"p50": 0.007333343982696533,
"p90": 0.007592447996139526,
"p95": 0.007696639895439148,
"p99": 0.008041420769691467,
"values": [
0.007619584083557129,
0.007763904094696045,
0.007552000045776367,
0.007573503971099854,
0.007546879768371582,
0.007494656085968018,
0.007377920150756836,
0.007367616176605225,
0.007341055870056152,
0.007332863807678222,
0.007393280029296875,
0.007378943920135498,
0.007293951988220215,
0.007192575931549072,
0.007456768035888672,
0.007325695991516113,
0.007378943920135498,
0.007385087966918945,
0.0074065918922424315,
0.007342080116271973,
0.007336959838867187,
0.007327744007110596,
0.007358431816101074,
0.007361536026000977,
0.007365632057189942,
0.007390143871307373,
0.007378943920135498,
0.007354368209838867,
0.007333824157714844,
0.007243775844573975,
0.007336959838867187,
0.007291903972625732,
0.007251967906951904,
0.00724889612197876,
0.007184383869171143,
0.007233535766601563,
0.007309311866760254,
0.007307263851165771,
0.007477183818817138,
0.0073993921279907225,
0.007364607810974121,
0.0073134078979492185,
0.007364607810974121,
0.007371776103973389,
0.007287807941436767,
0.007292928218841553,
0.007318528175354004,
0.007311359882354736,
0.007302144050598145,
0.007349247932434082,
0.0075980801582336424,
0.007507967948913574,
0.007742464065551758,
0.007916543960571289,
0.00765337610244751,
0.007527423858642578,
0.007431168079376221,
0.007506944179534912,
0.007459839820861816,
0.00725708818435669,
0.007285759925842285,
0.007334911823272705,
0.007361536026000977,
0.007375872135162354,
0.007333888053894043,
0.007407616138458252,
0.007366655826568603,
0.00810905647277832,
0.007663616180419922,
0.0075980801582336424,
0.007686143875122071,
0.008071167945861817,
0.0077281279563903805,
0.00738918399810791,
0.0074711041450500485,
0.007483391761779785,
0.007419904232025146,
0.007223296165466309,
0.007312384128570557,
0.0074106879234313965,
0.007423967838287354,
0.00744652795791626,
0.0074967041015625,
0.00758681583404541,
0.007986176013946533,
0.007669760227203369,
0.007486495971679687,
0.0073431038856506346,
0.007312384128570557,
0.0072724480628967286,
0.007262207984924316,
0.007258111953735351,
0.007363584041595459,
0.007218175888061523,
0.0072202239036560055,
0.0071905279159545895,
0.007101439952850342,
0.007175168037414551,
0.0072765440940856935,
0.007187456130981445,
0.007187456130981445,
0.007098400115966797,
0.0071526398658752445,
0.007177216053009033,
0.007148575782775879,
0.007127039909362793,
0.0071188478469848635,
0.007157760143280029,
0.007171103954315186,
0.007169023990631103,
0.0070830078125,
0.007282688140869141,
0.007493631839752197,
0.007351295948028564,
0.00719974422454834,
0.007172095775604248,
0.007165952205657959,
0.007195648193359375,
0.007251967906951904,
0.007159808158874512,
0.00713318395614624,
0.007102464199066162,
0.0071188478469848635,
0.007146495819091797,
0.00714035177230835,
0.007121920108795166,
0.007107583999633789,
0.007162879943847656,
0.007143424034118652,
0.007109632015228271,
0.007129087924957276,
0.007101439952850342,
0.007017471790313721,
0.007148575782775879,
0.007131135940551757,
0.007128064155578613
]
},
"throughput": {
"unit": "samples/s",
"value": 136.13476702661427
},
"energy": {
"unit": "kWh",
"cpu": 8.524468453000966e-08,
"ram": 4.660891444952861e-08,
"gpu": 1.6231827533813301e-07,
"total": 2.941718743176713e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3399373.248443584
}
}
}
}