{
    "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": null,
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16766.7712,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.15",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": "a2f76ceb4d3497d8b655e86e8345771442b69562",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.34.2",
            "accelerate_commit": null,
            "diffusers_version": "0.30.3",
            "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": 941.969408,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.558527577000007,
                "mean": 4.558527577000007,
                "stdev": 0.0,
                "p50": 4.558527577000007,
                "p90": 4.558527577000007,
                "p95": 4.558527577000007,
                "p99": 4.558527577000007,
                "values": [
                    4.558527577000007
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.836422340555468e-05,
                "ram": 2.0225337612516256e-06,
                "gpu": 0,
                "total": 5.0386757166806306e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 949.702656,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 27,
                "total": 1.004223551999928,
                "mean": 0.037193464888886224,
                "stdev": 0.0019182890466073984,
                "p50": 0.037539100999993025,
                "p90": 0.038704262400005976,
                "p95": 0.03986936219996551,
                "p99": 0.04037459481998553,
                "values": [
                    0.03770899799997096,
                    0.03737429299997075,
                    0.038284754000017074,
                    0.036765656000000035,
                    0.03842475600004036,
                    0.03739304800001264,
                    0.036988762999953906,
                    0.036729599000011603,
                    0.037218082000038066,
                    0.03550815699998111,
                    0.03690160000002152,
                    0.04018900799997027,
                    0.03832470899999407,
                    0.03771184400000038,
                    0.03748958799997126,
                    0.037749935000022106,
                    0.037539100999993025,
                    0.03811794300003157,
                    0.03912352199995439,
                    0.03821026600002142,
                    0.037993249999999534,
                    0.038231495000047744,
                    0.040439800999990894,
                    0.035883558000023186,
                    0.03294019799994885,
                    0.03249303299998019,
                    0.03248859499996115
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 26.886443706910725
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.2712145005376729e-06,
                "ram": 5.315654987632171e-08,
                "gpu": 0.0,
                "total": 1.3243710504139945e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 755075.3995169277
            }
        }
    }
}