{
    "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": 16757.338112,
            "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": "c932665bc86cea66c29ccd4e794b336721ae01f7",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.1",
            "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": 947.863552,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.25361551200001,
                "mean": 4.25361551200001,
                "stdev": 0.0,
                "p50": 4.25361551200001,
                "p90": 4.25361551200001,
                "p95": 4.25361551200001,
                "p99": 4.25361551200001,
                "values": [
                    4.25361551200001
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.8340827616666755e-05,
                "ram": 2.0204228898184092e-06,
                "gpu": 0,
                "total": 5.0361250506485165e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 955.203584,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 34,
                "total": 1.0276092730001096,
                "mean": 0.030223802147062048,
                "stdev": 0.000900684918852614,
                "p50": 0.030066338500006395,
                "p90": 0.030924302500005753,
                "p95": 0.03120277694999629,
                "p99": 0.03313854541000581,
                "values": [
                    0.031184564000000137,
                    0.030975012999988394,
                    0.030805978000046252,
                    0.030677197999978034,
                    0.03060997199997928,
                    0.03035075900004358,
                    0.030022547999976723,
                    0.030544630999997935,
                    0.030659424000020863,
                    0.030228800999964278,
                    0.029547983000043132,
                    0.02986525400001483,
                    0.03022437300001002,
                    0.030061880000005203,
                    0.030070797000007587,
                    0.02988279600003807,
                    0.02992857199996024,
                    0.030547495999996954,
                    0.030724787000053766,
                    0.03123660099998915,
                    0.02969535699998005,
                    0.030397807999975157,
                    0.02967473900002915,
                    0.029603897000015422,
                    0.029604688000006263,
                    0.02996802600000592,
                    0.029695968999988054,
                    0.02997752300001366,
                    0.030713816000002225,
                    0.03407532400001401,
                    0.029289378999976634,
                    0.028865149000012025,
                    0.029000080999992406,
                    0.028898089999984222
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 33.0865056333492
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1544350450980401e-06,
                "ram": 4.824630954575788e-08,
                "gpu": 0.0,
                "total": 1.202681354643798e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 831475.4329056453
            }
        }
    }
}