{
    "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": "warn",
            "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": "4b53fb2a7497cb7cece4f3351e6ebbf219605bed",
            "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": 944.984064,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.3150142429999505,
                "mean": 4.3150142429999505,
                "stdev": 0.0,
                "p50": 4.3150142429999505,
                "p90": 4.3150142429999505,
                "p95": 4.3150142429999505,
                "p99": 4.3150142429999505,
                "values": [
                    4.3150142429999505
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.9085102772220545e-05,
                "ram": 2.051532850919453e-06,
                "gpu": 0,
                "total": 5.113663562314e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 952.193024,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 29,
                "total": 1.0036322320000295,
                "mean": 0.034608008000001016,
                "stdev": 0.0011269090732764515,
                "p50": 0.03471029599995745,
                "p90": 0.03573257880000256,
                "p95": 0.036550134199990224,
                "p99": 0.03725337580002133,
                "values": [
                    0.0347546790000024,
                    0.03467796500001441,
                    0.03375344400001268,
                    0.0326911749999681,
                    0.03525568200001317,
                    0.03512677899999517,
                    0.03485169200001792,
                    0.03455509300005133,
                    0.033863542000005964,
                    0.033302516000048854,
                    0.033707737000042926,
                    0.03494842399999243,
                    0.03488826099999187,
                    0.03702984099999185,
                    0.0373403060000328,
                    0.033651051999981973,
                    0.03380505100000164,
                    0.03525153399999681,
                    0.03416748300003292,
                    0.03453766000001224,
                    0.03483939799997415,
                    0.03471029599995745,
                    0.033611196999970616,
                    0.03381086199999572,
                    0.03564046599996118,
                    0.03583057399998779,
                    0.03570808000000625,
                    0.035336978999964685,
                    0.03198446400000421
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 28.89504648750574
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1706403584967297e-06,
                "ram": 4.8923638557354646e-08,
                "gpu": 0.0,
                "total": 1.2195639970540844e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 819965.1698603338
            }
        }
    }
}