{
    "config": {
        "name": "cpu_inference_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "token-classification",
            "library": "transformers",
            "model_type": "deberta-v2",
            "model": "microsoft/deberta-v3-base",
            "processor": "microsoft/deberta-v3-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-6.5.0-1025-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": "7942e991c4244fe46d972385a149d60d8f9017a5",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "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": 1166.237696,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.950108414999988,
                "mean": 4.950108414999988,
                "stdev": 0.0,
                "p50": 4.950108414999988,
                "p90": 4.950108414999988,
                "p95": 4.950108414999988,
                "p99": 4.950108414999988,
                "values": [
                    4.950108414999988
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 6.863488006666659e-05,
                "ram": 2.8687693855063323e-06,
                "gpu": 0,
                "total": 7.150364945217292e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1199.566848,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 7,
                "total": 1.0619675089999419,
                "mean": 0.15170964414284885,
                "stdev": 0.006703741466524044,
                "p50": 0.15388055199997552,
                "p90": 0.15845176459997673,
                "p95": 0.15939362629998186,
                "p99": 0.16014711565998596,
                "values": [
                    0.15178758299998663,
                    0.15388055199997552,
                    0.1550486689999957,
                    0.15719594899996991,
                    0.16033548799998698,
                    0.14157421999999542,
                    0.1421450480000317
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 6.59153876241649
            },
            "energy": {
                "unit": "kWh",
                "cpu": 5.631398183333482e-06,
                "ram": 2.3534598966339825e-07,
                "gpu": 0.0,
                "total": 5.8667441729968805e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 170452.29355708804
            }
        }
    }
}