IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
8b6d911
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.1+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": null, | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 4, | |
"cpu_ram_mb": 16766.7712, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.15", | |
"optimum_benchmark_version": "0.4.0", | |
"optimum_benchmark_commit": "b502dde12931cbe71b3c4aa53e3850ce968529c8", | |
"transformers_version": "4.44.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.34.2", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.3", | |
"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": 941.71136, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.305357962000016, | |
"mean": 4.305357962000016, | |
"stdev": 0.0, | |
"p50": 4.305357962000016, | |
"p90": 4.305357962000016, | |
"p95": 4.305357962000016, | |
"p99": 4.305357962000016, | |
"values": [ | |
4.305357962000016 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.7102515133333455e-05, | |
"ram": 1.9697294419713295e-06, | |
"gpu": 0, | |
"total": 4.9072244575304786e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 952.328192, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 24, | |
"total": 1.0347979349999719, | |
"mean": 0.043116580624998825, | |
"stdev": 0.0029879573192380634, | |
"p50": 0.044324920499974496, | |
"p90": 0.0461405021999667, | |
"p95": 0.04711345805003475, | |
"p99": 0.04753872928000476, | |
"values": [ | |
0.04016802699999289, | |
0.040061027000035665, | |
0.03982360200001267, | |
0.039706393000017215, | |
0.039485439000031874, | |
0.04048962899997832, | |
0.04127298499997778, | |
0.04210050299997192, | |
0.039472414999977445, | |
0.047273954000047524, | |
0.0453951680000273, | |
0.0455995620000067, | |
0.045676455000034366, | |
0.04577762399998164, | |
0.04620398099996237, | |
0.047617817999991985, | |
0.04575463100002253, | |
0.04450833899994677, | |
0.04599238499997682, | |
0.04524614899997914, | |
0.045317823000004864, | |
0.04414150200000222, | |
0.038822858999992604, | |
0.03888966499999924 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 23.192933797264153 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.5262028294872035e-06, | |
"ram": 6.382000417422143e-08, | |
"gpu": 0.0, | |
"total": 1.5900228336614249e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 628921.7857942644 | |
} | |
} | |
} | |
} |