IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
e2b06bf
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.1+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "text-classification", | |
"library": "transformers", | |
"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": 16757.342208, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.2.1", | |
"optimum_benchmark_commit": "cc9b50765eac8085269af1a207e20c6a9b260b67", | |
"transformers_version": "4.42.3", | |
"transformers_commit": null, | |
"accelerate_version": "0.31.0", | |
"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": 938.319872, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 29, | |
"total": 1.0128014939998025, | |
"mean": 0.03492418944826905, | |
"stdev": 0.0019337774093019329, | |
"p50": 0.03563986000000341, | |
"p90": 0.03626556980001396, | |
"p95": 0.03654749099997616, | |
"p99": 0.03666277067997498, | |
"values": [ | |
0.03669502499997179, | |
0.03565520799998012, | |
0.03597988299998178, | |
0.034730174000003444, | |
0.03618538599999965, | |
0.03582947299997841, | |
0.035484359999998105, | |
0.03582267999996702, | |
0.03546911099999761, | |
0.03462150100000372, | |
0.03657983099998319, | |
0.03547607399997332, | |
0.035578244000021186, | |
0.03563986000000341, | |
0.03594599000001608, | |
0.03537362299999813, | |
0.035477237000009154, | |
0.03612183799998547, | |
0.035718957000028695, | |
0.035527399999978115, | |
0.03594489799996836, | |
0.03620721700002605, | |
0.036498980999965625, | |
0.035889484999984234, | |
0.032514574000003904, | |
0.030563399000016034, | |
0.030306940999992094, | |
0.030603262999989056, | |
0.03036088099997869 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 28.633449073492045 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.1815988254868221e-06, | |
"ram": 4.938077681148652e-08, | |
"gpu": 0.0, | |
"total": 1.2309796022983088e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 812361.1456541955 | |
} | |
} | |
} | |
} |