IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
b4b95e0
verified
{ | |
"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-6.5.0-1023-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.3.1", | |
"optimum_benchmark_commit": "64d7cde4ffc4c5c7d57f80bbb0bfaa5207878a13", | |
"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": 942.227456, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.453371677000007, | |
"mean": 4.453371677000007, | |
"stdev": 0.0, | |
"p50": 4.453371677000007, | |
"p90": 4.453371677000007, | |
"p95": 4.453371677000007, | |
"p99": 4.453371677000007, | |
"values": [ | |
4.453371677000007 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.78662027253045e-05, | |
"ram": 2.0005894394057574e-06, | |
"gpu": 0, | |
"total": 4.986679216471026e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 953.97888, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 25, | |
"total": 1.0190818859999808, | |
"mean": 0.04076327543999923, | |
"stdev": 0.0008079558600825455, | |
"p50": 0.04071559400000524, | |
"p90": 0.04193756020000592, | |
"p95": 0.04199587259998907, | |
"p99": 0.04242499736001037, | |
"values": [ | |
0.04036424299999908, | |
0.04026243200002, | |
0.040786346000004414, | |
0.04087009400001307, | |
0.04071559400000524, | |
0.04073091199995815, | |
0.040493655999966904, | |
0.040614792999974725, | |
0.0400694089999547, | |
0.041164735999984714, | |
0.04046073400002115, | |
0.04062328999998499, | |
0.04115272400002823, | |
0.041032617999974264, | |
0.041021728000032454, | |
0.041769674000022405, | |
0.04255671200002098, | |
0.042007900999976755, | |
0.03965625500001124, | |
0.03934489900001381, | |
0.04194775900003833, | |
0.0419222619999573, | |
0.039397957999995015, | |
0.03979971400002569, | |
0.04031544299999723 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 24.531885360192213 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.5893380377027724e-06, | |
"ram": 6.642166207175251e-08, | |
"gpu": 0.0, | |
"total": 1.655759699774525e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 603952.3731228488 | |
} | |
} | |
} | |
} |