{
    "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",
            "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",
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.354496,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.2.1",
            "optimum_benchmark_commit": "eee61510ab9c7b38bd9807712fa942e2f5ba255c",
            "transformers_version": "4.40.2",
            "transformers_commit": null,
            "accelerate_version": "0.30.1",
            "accelerate_commit": null,
            "diffusers_version": "0.27.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.3",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 936.50944,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 31,
                "total": 1.0057723540000438,
                "mean": 0.032444269483872384,
                "stdev": 0.001964774899103647,
                "p50": 0.0311865240000202,
                "p90": 0.035306660000003376,
                "p95": 0.03540335799999639,
                "p99": 0.0363273346000085,
                "values": [
                    0.032205367000017304,
                    0.03145324700000174,
                    0.03097860199994784,
                    0.03098905100000593,
                    0.031004920999976093,
                    0.031093968999982735,
                    0.0311865240000202,
                    0.030954105000034815,
                    0.031174792000001617,
                    0.031363687999999,
                    0.03113220000000183,
                    0.031119015999991007,
                    0.030669427999953314,
                    0.030891526000004887,
                    0.031053702999997768,
                    0.03086837299997569,
                    0.03141678800000136,
                    0.030782090000002427,
                    0.033201986999984,
                    0.034984854000015275,
                    0.0348134900000332,
                    0.035411729000031755,
                    0.03671973699999853,
                    0.03539498699996102,
                    0.035268708000046445,
                    0.035306660000003376,
                    0.0351521580000167,
                    0.03516740700001719,
                    0.032829994999985956,
                    0.030943646000025637,
                    0.03023960600000919
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 30.822084020017364
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.2055861829507231e-06,
                "ram": 5.038303115305848e-08,
                "gpu": 0.0,
                "total": 1.2559692141037815e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 796197.8596056332
            }
        }
    }
}