{
    "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_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-6.5.0-1023-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": "034e40c3ab573ad44343a7fcce8e83f9a39327de",
            "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": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 941.34272,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.365514271000052,
                "mean": 4.365514271000052,
                "stdev": 0.0,
                "p50": 4.365514271000052,
                "p90": 4.365514271000052,
                "p95": 4.365514271000052,
                "p99": 4.365514271000052,
                "values": [
                    4.365514271000052
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.9641044934590657e-05,
                "ram": 2.074769394481564e-06,
                "gpu": 0,
                "total": 5.171581432907222e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 949.20704,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 32,
                "total": 1.007503905000135,
                "mean": 0.03148449703125422,
                "stdev": 0.001195876098778029,
                "p50": 0.031227014999984704,
                "p90": 0.03247609049999482,
                "p95": 0.03330318125001099,
                "p99": 0.035574722780029336,
                "values": [
                    0.031789290000006076,
                    0.031173605999981646,
                    0.03205813900001431,
                    0.030910796999989998,
                    0.031187821999992593,
                    0.03128834900002175,
                    0.03379592900000716,
                    0.03637389100003929,
                    0.03130487999999332,
                    0.030997468999999,
                    0.03105224000000817,
                    0.031015111000044726,
                    0.031372064000038336,
                    0.03115064399997891,
                    0.03153171100001373,
                    0.031354011000019,
                    0.031266207999976814,
                    0.031126938999989306,
                    0.03089027900000474,
                    0.030997157999991032,
                    0.03248767799999541,
                    0.031667484000024615,
                    0.03169650800003865,
                    0.03113529499995593,
                    0.030445081999971535,
                    0.030123854999999367,
                    0.030391191000035178,
                    0.03237180299998954,
                    0.03290002400001413,
                    0.031972741000004135,
                    0.03012815300002103,
                    0.029547553999975662
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 31.76166349449108
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.175531608606476e-06,
                "ram": 4.912790520476766e-08,
                "gpu": 0.0,
                "total": 1.2246595138112436e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 816553.4899475167
            }
        }
    }
}