{
    "config": {
        "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-classification",
            "model": "FacebookAI/roberta-base",
            "library": "transformers",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "hub_kwargs": {
                "revision": "main",
                "force_download": false,
                "local_files_only": false,
                "trust_remote_code": false
            },
            "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",
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.346304,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.2.0",
            "optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
            "transformers_version": "4.40.2",
            "transformers_commit": null,
            "accelerate_version": "0.30.0",
            "accelerate_commit": null,
            "diffusers_version": "0.27.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "0.9.16",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 939.39712,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 33,
                "total": 1.0082548800001518,
                "mean": 0.030553178181822783,
                "stdev": 0.00175309056604995,
                "p50": 0.029733420000013666,
                "p90": 0.03370184000001473,
                "p95": 0.03401826339999161,
                "p99": 0.03441965515998618,
                "values": [
                    0.034472210999979325,
                    0.033724815000027775,
                    0.033609939999962535,
                    0.03430797400000074,
                    0.033498162000000775,
                    0.033825122999985524,
                    0.031096044999969763,
                    0.029733420000013666,
                    0.02981750600002897,
                    0.03249516899995797,
                    0.030046884999990198,
                    0.0291586160000179,
                    0.029142075000038403,
                    0.029352648000042336,
                    0.030184923000035724,
                    0.029891866000014033,
                    0.02960390099997312,
                    0.02963804099999834,
                    0.029160449000016797,
                    0.029296944000009262,
                    0.02949319099997183,
                    0.02924647999998342,
                    0.029365111000004163,
                    0.0298047030000248,
                    0.02982126300003074,
                    0.029433700000026874,
                    0.029380349999996724,
                    0.02941878199999337,
                    0.029517145000056644,
                    0.029141724999988128,
                    0.02994289100001879,
                    0.03215953199998012,
                    0.029473294000013084
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 32.729819269503594
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1300574408637152e-06,
                "ram": 4.722718188192435e-08,
                "gpu": 0.0,
                "total": 1.1772846227456398e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 849412.266736161
            }
        }
    }
}