{
    "config": {
        "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+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-6.5.0-1024-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": "9d11320bd2f1225453b4b1dfc080b74581b546cc",
            "transformers_version": "4.43.2",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "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": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 946.794496,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.313512341000035,
                "mean": 4.313512341000035,
                "stdev": 0.0,
                "p50": 4.313512341000035,
                "p90": 4.313512341000035,
                "p95": 4.313512341000035,
                "p99": 4.313512341000035,
                "values": [
                    4.313512341000035
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.8135827647315136e-05,
                "ram": 2.011855558599791e-06,
                "gpu": 0,
                "total": 5.014768320591493e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 954.658816,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 32,
                "total": 1.0215644260001682,
                "mean": 0.031923888312505255,
                "stdev": 0.0018398899838980825,
                "p50": 0.03103918749997092,
                "p90": 0.03544160910001324,
                "p95": 0.03592230900002562,
                "p99": 0.035999942150018,
                "values": [
                    0.03131044799999927,
                    0.03089980300001116,
                    0.03056804400000601,
                    0.030210448000048018,
                    0.03076771700000336,
                    0.03091327699996782,
                    0.031044402999953036,
                    0.031192899000018315,
                    0.03143868699999075,
                    0.031033971999988808,
                    0.030517230000043583,
                    0.03243987300004392,
                    0.030579756999998153,
                    0.0307999369999834,
                    0.03175518699998747,
                    0.0312007739999558,
                    0.030900384000005943,
                    0.03207098500001848,
                    0.030834641000012653,
                    0.030943704999970123,
                    0.030348285000002306,
                    0.030365397000025496,
                    0.03088905300000988,
                    0.030854067000007035,
                    0.03164206600001762,
                    0.032655916000010166,
                    0.03494886900000438,
                    0.03596086400000331,
                    0.03589076400004387,
                    0.0360174990000246,
                    0.03548082700001487,
                    0.03508864799999856
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 31.324505029303683
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1726186166401784e-06,
                "ram": 4.900615590650111e-08,
                "gpu": 0.0,
                "total": 1.2216247725466795e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 818581.9594304183
            }
        }
    }
}