{
    "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": "d4e01cd53c797cc9529d2651b70bdedc97c316bb",
            "transformers_version": "4.43.1",
            "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": 945.07008,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.252794085000005,
                "mean": 4.252794085000005,
                "stdev": 0.0,
                "p50": 4.252794085000005,
                "p90": 4.252794085000005,
                "p95": 4.252794085000005,
                "p99": 4.252794085000005,
                "values": [
                    4.252794085000005
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.840027888615927e-05,
                "ram": 2.0228286586961987e-06,
                "gpu": 0,
                "total": 5.042310754485547e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 952.803328,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 30,
                "total": 1.0246016360001136,
                "mean": 0.03415338786667045,
                "stdev": 0.0007999718997226167,
                "p50": 0.03423623450001401,
                "p90": 0.034984716100007064,
                "p95": 0.03514213425002879,
                "p99": 0.03561249413002315,
                "values": [
                    0.03411536300001217,
                    0.03458181600001353,
                    0.0337452499999813,
                    0.03264606200002618,
                    0.03385962400000153,
                    0.0346615749999728,
                    0.034608826999999565,
                    0.03432561599998962,
                    0.03419530299998996,
                    0.033562546999974074,
                    0.03233666199997742,
                    0.03346375300003501,
                    0.03502318300002116,
                    0.033934934999990674,
                    0.034382612999991125,
                    0.03400929399998631,
                    0.03291403299999729,
                    0.03278108400002111,
                    0.0357648610000183,
                    0.033916069000042626,
                    0.03480286899997509,
                    0.034770508999997674,
                    0.03427716600003805,
                    0.0341671099999985,
                    0.03318139500004236,
                    0.034546379000005345,
                    0.034980442000005496,
                    0.03523945800003503,
                    0.034970874000009644,
                    0.03483696399996461
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 29.27967216323738
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1458933742996915e-06,
                "ram": 4.78890034971822e-08,
                "gpu": 0.0,
                "total": 1.1937823777968736e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 837673.6150566244
            }
        }
    }
}