{
    "config": {
        "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
        "backend": {
            "name": "pytorch",
            "version": "2.4.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "library": "transformers",
            "model_type": "bert",
            "model": "google-bert/bert-base-uncased",
            "processor": "google-bert/bert-base-uncased",
            "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": 16766.767104,
            "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": "dad41f7a1213c56e1c7e335e5ce6e7b2ddb68a83",
            "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": 963.858432,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.48527823500001,
                "mean": 4.48527823500001,
                "stdev": 0.0,
                "p50": 4.48527823500001,
                "p90": 4.48527823500001,
                "p95": 4.48527823500001,
                "p99": 4.48527823500001,
                "values": [
                    4.48527823500001
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 5.090117561666685e-05,
                "ram": 2.12856613864042e-06,
                "gpu": 0,
                "total": 5.302974175530727e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 878.006272,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 22,
                "total": 1.017776705999779,
                "mean": 0.0462625775454445,
                "stdev": 0.0011242787441640974,
                "p50": 0.04649742349999997,
                "p90": 0.04756511349999641,
                "p95": 0.047619808899995064,
                "p99": 0.047959471730004,
                "values": [
                    0.04804939100000638,
                    0.04717410000000655,
                    0.044478244000004,
                    0.04762120399999503,
                    0.0463187550000157,
                    0.04667609199998424,
                    0.04698237299999164,
                    0.04481827799997973,
                    0.04575684799999635,
                    0.047593301999995674,
                    0.047311417000003075,
                    0.04538422299998501,
                    0.04471495499996081,
                    0.04684843299997965,
                    0.044943671999988055,
                    0.04725083299996413,
                    0.04605474299995649,
                    0.046714113000007274,
                    0.045751618999986476,
                    0.047193775999971876,
                    0.04616672100002006,
                    0.0439736139999809
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 21.615743286626937
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.5595619775555559e-06,
                "ram": 6.521136471473103e-08,
                "gpu": 0.0,
                "total": 1.624773342270287e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 615470.4622385701
            }
        }
    }
}