IlyasMoutawwakil's picture
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
397c595 verified
raw
history blame
6.88 kB
{
"config": {
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"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": false,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "a7a97473b632c48148612a312a4eb89b241c78ba",
"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": 942.067712,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.405657099999985,
"mean": 4.405657099999985,
"stdev": 0.0,
"p50": 4.405657099999985,
"p90": 4.405657099999985,
"p95": 4.405657099999985,
"p99": 4.405657099999985,
"values": [
4.405657099999985
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.8160741064283594e-05,
"ram": 2.0128884896780616e-06,
"gpu": 0,
"total": 5.017362955396166e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 953.208832,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 25,
"total": 1.0379484880000405,
"mean": 0.04151793952000162,
"stdev": 0.0011422931324227138,
"p50": 0.04135282400000051,
"p90": 0.04292566240000042,
"p95": 0.042957188800016866,
"p99": 0.04398291260003816,
"values": [
0.04135282400000051,
0.0412024640000368,
0.03999746499999901,
0.042775019999965025,
0.04019840900002691,
0.04134070099996734,
0.04189727100003893,
0.04020021199994517,
0.04252797899999905,
0.04080629400004909,
0.041835686000013084,
0.041901859000006425,
0.04159050800001296,
0.04288932399998657,
0.040713398999969286,
0.04265904300001466,
0.04086815900001284,
0.04078358199996046,
0.04295901400001867,
0.040211102000000665,
0.04294988800000965,
0.04430624900004432,
0.04196705099997189,
0.04004610499998762,
0.03996888000000354
]
},
"throughput": {
"unit": "samples/s",
"value": 24.085973715488493
},
"energy": {
"unit": "kWh",
"cpu": 1.6062472661336266e-06,
"ram": 6.71290473821955e-08,
"gpu": 0.0,
"total": 1.6733763135158222e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 597594.2123257171
}
}
}
}