{ "config": { "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.4.1+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": 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": "7d05fd99dffe099b31fb1d300c38e3bc41c25293", "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": 939.507712, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 1, "total": 4.581912145999979, "mean": 4.581912145999979, "stdev": 0.0, "p50": 4.581912145999979, "p90": 4.581912145999979, "p95": 4.581912145999979, "p99": 4.581912145999979, "values": [ 4.581912145999979 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 4.861640968333253e-05, "ram": 2.033076243329441e-06, "gpu": 0, "total": 5.064948592666197e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 947.24096, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 26, "total": 0.9995534419999785, "mean": 0.03844436315384533, "stdev": 0.00471815092505518, "p50": 0.0359381350000092, "p90": 0.04314434899998787, "p95": 0.046185343499999476, "p99": 0.05325194249999754, "values": [ 0.03580151300002399, 0.035642451000001074, 0.034802357999978994, 0.03491644999996879, 0.03509152599997378, 0.038099268999985725, 0.03595674500002133, 0.03552526199996464, 0.03487077599999111, 0.03751717599999438, 0.05538850499999626, 0.04421460899999374, 0.04134353099999544, 0.041230820999999196, 0.04123615100002098, 0.042074088999981996, 0.04127345099999502, 0.039252994000037233, 0.035006567999971594, 0.03600642700001799, 0.03568456900001138, 0.04684225500000139, 0.03557814100003043, 0.035159603000010975, 0.03511867700001403, 0.035919524999997066 ] }, "throughput": { "unit": "samples/s", "value": 26.011615695082124 }, "energy": { "unit": "kWh", "cpu": 1.3526477892720306e-06, "ram": 5.656114177529727e-08, "gpu": 0.0, "total": 1.4092089310473279e-06 }, "efficiency": { "unit": "samples/kWh", "value": 709617.9835141957 } } } }