{
    "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": 16766.7712,
            "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": "4c0c433dfc68fac2cdc0ae637f343f8377f20210",
            "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": 964.734976,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.365189775000005,
                "mean": 4.365189775000005,
                "stdev": 0.0,
                "p50": 4.365189775000005,
                "p90": 4.365189775000005,
                "p95": 4.365189775000005,
                "p99": 4.365189775000005,
                "values": [
                    4.365189775000005
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 5.105573561666591e-05,
                "ram": 2.135123496926417e-06,
                "gpu": 0,
                "total": 5.319085911359232e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 878.620672,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 26,
                "total": 1.0215616599999464,
                "mean": 0.039290833076921015,
                "stdev": 0.0009917341067833567,
                "p50": 0.03911304750000966,
                "p90": 0.04068208149999464,
                "p95": 0.04096349874999561,
                "p99": 0.04154095574998706,
                "values": [
                    0.04049922699999797,
                    0.040167302000014615,
                    0.03936311900000078,
                    0.039419734999995626,
                    0.0408649359999913,
                    0.0402119569999968,
                    0.039190903999980264,
                    0.03829545799999323,
                    0.038559394999992946,
                    0.03906004800001028,
                    0.03928352899998799,
                    0.03969389100001308,
                    0.038842066999990266,
                    0.03873824200002218,
                    0.038458645999980945,
                    0.03821504699999423,
                    0.038672778999995217,
                    0.03916604700000903,
                    0.038358937999987575,
                    0.03862982800001191,
                    0.03832539399999746,
                    0.04046116600000005,
                    0.04099635299999704,
                    0.041722489999983736,
                    0.03873232099999768,
                    0.03763284100000419
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 25.45122924836604
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.4770076539094675e-06,
                "ram": 6.176140099287147e-08,
                "gpu": 0.0,
                "total": 1.5387690549023389e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 649870.1002688587
            }
        }
    }
}