IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
3f41999
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": {}, | |
"hub_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, | |
"latency": true, | |
"memory": 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": 16757.338112, | |
"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": "505b3e98eac8c3f1b6ed5342e4f6e5336d513f21", | |
"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": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 940.843008, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 25, | |
"total": 1.026206056999854, | |
"mean": 0.04104824227999416, | |
"stdev": 0.0009266104862590732, | |
"p50": 0.04086556199996494, | |
"p90": 0.042373803000020874, | |
"p95": 0.042816358200036576, | |
"p99": 0.04324604804001865, | |
"values": [ | |
0.04335374300001149, | |
0.04160033499999827, | |
0.041104458000006616, | |
0.041240141999992375, | |
0.04096495699997149, | |
0.040720740999972804, | |
0.04078956999995853, | |
0.041227827999989586, | |
0.04224190500002578, | |
0.04086556199996494, | |
0.040774400999964655, | |
0.041718865999996524, | |
0.04037361199999623, | |
0.04019754299997658, | |
0.0424617350000176, | |
0.04183003399998597, | |
0.04020162099999425, | |
0.03980598999999074, | |
0.040000775999999405, | |
0.039740489000053, | |
0.04088438700000552, | |
0.04045266999997921, | |
0.04046791799999028, | |
0.04290501400004132, | |
0.040281759999970745 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 24.36157907027785 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.572372807396783e-06, | |
"ram": 6.571210569110614e-08, | |
"gpu": 0.0, | |
"total": 1.6380849130878892e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 610468.9640996323 | |
} | |
} | |
} | |
} |