{
    "config": {
        "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "multiple-choice",
            "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-6.5.0-1025-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": "64616c22a81fbd56113ffbadbf137b852c35ed9d",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.1",
            "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": 945.82784,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.470768648999979,
                "mean": 4.470768648999979,
                "stdev": 0.0,
                "p50": 4.470768648999979,
                "p90": 4.470768648999979,
                "p95": 4.470768648999979,
                "p99": 4.470768648999979,
                "values": [
                    4.470768648999979
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 5.141416186666719e-05,
                "ram": 2.1488893416625005e-06,
                "gpu": 0,
                "total": 5.356305120832969e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 956.706816,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 22,
                "total": 1.0423202260000721,
                "mean": 0.04737819209091237,
                "stdev": 0.0011495435618548624,
                "p50": 0.04757245349998129,
                "p90": 0.04877065120001021,
                "p95": 0.04900418005001654,
                "p99": 0.049270555320011906,
                "values": [
                    0.047433423000029507,
                    0.046994460999997045,
                    0.04647745099998701,
                    0.04933874400001059,
                    0.04825281900002665,
                    0.04762285799995425,
                    0.04607786200000419,
                    0.045063802000015585,
                    0.04901403600001686,
                    0.04881691700001056,
                    0.04804720399999951,
                    0.046791240000004564,
                    0.048354259000007005,
                    0.04752204900000834,
                    0.04763591299996506,
                    0.047966794000046775,
                    0.0471466050000231,
                    0.046842695999998796,
                    0.0477011149999953,
                    0.04713487399999394,
                    0.04768547599996964,
                    0.04439962800000785
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 21.10675726252143
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.592411888666599e-06,
                "ram": 6.655017347132729e-08,
                "gpu": 0.0,
                "total": 1.6589620621379263e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 602786.5391395912
            }
        }
    }
}