{
    "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": 16757.338112,
            "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": "074fc31a7e13e70facbebbf8b363a0c312f75f69",
            "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": 938.758144,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 28,
                "total": 1.0274209120001387,
                "mean": 0.03669360400000495,
                "stdev": 0.00293857696974989,
                "p50": 0.036541684000013674,
                "p90": 0.039925943700006884,
                "p95": 0.040303833900000544,
                "p99": 0.043509746230035375,
                "values": [
                    0.03678366599996252,
                    0.03596765200001073,
                    0.036595133999981044,
                    0.034793750999995154,
                    0.03710849200001576,
                    0.03668245599999409,
                    0.03619107000002941,
                    0.0364846080000234,
                    0.036073860999977114,
                    0.03636741899998697,
                    0.040396551000014824,
                    0.04466120200004298,
                    0.03887445899999875,
                    0.03788784700003589,
                    0.03983778600002097,
                    0.03862789800001565,
                    0.039473497999949814,
                    0.040131644999974014,
                    0.03818202600001541,
                    0.03537618799998654,
                    0.036480930000038825,
                    0.03725657900002943,
                    0.036488234000046305,
                    0.03516670599998406,
                    0.03145521900000858,
                    0.03151321799998641,
                    0.030745813999999427,
                    0.031817003000014665
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 27.252705948422648
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1956285145949033e-06,
                "ram": 4.9967343072128786e-08,
                "gpu": 0.0,
                "total": 1.2455958576670322e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 802828.6171993003
            }
        }
    }
}