{ "config": { "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.4.0+cpu", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-classification", "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-6.5.0-1025-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.14", "optimum_benchmark_version": "0.4.0", "optimum_benchmark_commit": "004348a741507f161e4fae5078d05de404e8b911", "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.30.1", "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": 947.146752, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 1, "total": 4.348570628999994, "mean": 4.348570628999994, "stdev": 0.0, "p50": 4.348570628999994, "p90": 4.348570628999994, "p95": 4.348570628999994, "p99": 4.348570628999994, "values": [ 4.348570628999994 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 4.826712080555416e-05, "ram": 2.0173400238575495e-06, "gpu": 0, "total": 5.0284460829411714e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 954.617856, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 29, "total": 1.0158812539999644, "mean": 0.03503038806896429, "stdev": 0.0013468233889811331, "p50": 0.03482079700000895, "p90": 0.03636197700000139, "p95": 0.036889520599993376, "p99": 0.037479326520006, "values": [ 0.036262043000022004, 0.03482079700000895, 0.03383603499997889, 0.03301860599998463, 0.03577524199999971, 0.0346839299999715, 0.03477839700002505, 0.03459896200001822, 0.03404738000000407, 0.03374258000002328, 0.03399304800001346, 0.03527816199999734, 0.03447621199995865, 0.0345320069999957, 0.03473884300001373, 0.034279283999978816, 0.03496196099996496, 0.03562018299999181, 0.035678270999994766, 0.03627865300001076, 0.035895837999987634, 0.035637664000034874, 0.034808273000010104, 0.035956700999975055, 0.03701901900001303, 0.03765833500000326, 0.03669527299996389, 0.03626874499997257, 0.030540810000047713 ] }, "throughput": { "unit": "samples/s", "value": 28.546643503671756 }, "energy": { "unit": "kWh", "cpu": 1.1734823825163251e-06, "ram": 4.904213461825193e-08, "gpu": 0.0, "total": 1.222524517134577e-06 }, "efficiency": { "unit": "samples/kWh", "value": 817979.505510333 } } } }