{
    "config": {
        "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.1+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-6.5.0-1025-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": "fa9ef035a540e4a60f1b37660f7a300a32d1f25b",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.34.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.2",
            "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": 945.778688,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.2878193120000105,
                "mean": 4.2878193120000105,
                "stdev": 0.0,
                "p50": 4.2878193120000105,
                "p90": 4.2878193120000105,
                "p95": 4.2878193120000105,
                "p99": 4.2878193120000105,
                "values": [
                    4.2878193120000105
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.7831459977776574e-05,
                "ram": 1.9991276502988377e-06,
                "gpu": 0,
                "total": 4.983058762807541e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 953.643008,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 29,
                "total": 1.0346736239997085,
                "mean": 0.03567840082757616,
                "stdev": 0.0012598252111618762,
                "p50": 0.03574704299995801,
                "p90": 0.03734033499998759,
                "p95": 0.03767801179998287,
                "p99": 0.03817361203997507,
                "values": [
                    0.03514533399999209,
                    0.0352040939999938,
                    0.034036050999986855,
                    0.03337506099995835,
                    0.035146465999957854,
                    0.03458083399999623,
                    0.034779494000019895,
                    0.03467107199998054,
                    0.03413930300001766,
                    0.03418238299997256,
                    0.03382720199999767,
                    0.03574704299995801,
                    0.035826401000008445,
                    0.03834124999997357,
                    0.03728011499998729,
                    0.03607710699998279,
                    0.03505263199997444,
                    0.03696140199997444,
                    0.03625906600001372,
                    0.036005304000013894,
                    0.03571582499995429,
                    0.035967042999971,
                    0.0362278780000338,
                    0.03454364499998519,
                    0.037205426000014086,
                    0.03703758400001789,
                    0.03758121499998879,
                    0.036014851000004455,
                    0.03774254299997892
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 28.0281620477533
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1715973534313737e-06,
                "ram": 4.896333852534292e-08,
                "gpu": 0.0,
                "total": 1.2205606919567168e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 819295.5963516001
            }
        }
    }
}