{
    "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",
            "model": "FacebookAI/roberta-base",
            "library": "transformers",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "hub_kwargs": {
                "revision": "main",
                "force_download": false,
                "local_files_only": false,
                "trust_remote_code": false
            },
            "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": 16757.342208,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.2.0",
            "optimum_benchmark_commit": "40cdab56663479e2e7275c1c80c2a04578a9eafc",
            "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": "0.9.16",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 941.211648,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 28,
                "total": 1.0132585739999058,
                "mean": 0.03618780621428235,
                "stdev": 0.0008053944628156695,
                "p50": 0.03630314699998394,
                "p90": 0.037034712200005517,
                "p95": 0.037139724299979096,
                "p99": 0.037579104339975515,
                "values": [
                    0.03699890600000799,
                    0.036737686000037684,
                    0.03643077099997072,
                    0.037118259999999736,
                    0.034475253999971756,
                    0.036755330000005415,
                    0.03618499000003794,
                    0.03514075199996114,
                    0.036255281999956424,
                    0.036846369999977924,
                    0.0360508379999942,
                    0.034820121999985076,
                    0.03699084100003347,
                    0.03679513499997711,
                    0.03595709199998964,
                    0.03605068900003516,
                    0.03656843999999637,
                    0.03524655100000018,
                    0.0377373399999783,
                    0.035400138999989395,
                    0.03715128199996798,
                    0.035935301999984404,
                    0.0357431820000329,
                    0.0356066960000021,
                    0.03461956400002464,
                    0.03652623099998209,
                    0.03676451699999461,
                    0.03635101200001145
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 27.633617635692072
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1867062009946266e-06,
                "ram": 4.959422222038318e-08,
                "gpu": 0.0,
                "total": 1.2363004232150097e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 808864.8852837011
            }
        }
    }
}