{
    "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": "0.5.0",
            "optimum_benchmark_commit": "11fc1578907ddfc66a9a7fb8f19815e001677ad1",
            "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": "1.22.0",
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 972.722176,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    4.427842318000046
                ],
                "count": 1,
                "total": 4.427842318000046,
                "mean": 4.427842318000046,
                "p50": 4.427842318000046,
                "p90": 4.427842318000046,
                "p95": 4.427842318000046,
                "p99": 4.427842318000046,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 5.0797126488888965e-05,
                "ram": 2.124307259602226e-06,
                "gpu": 0,
                "total": 5.292143374849119e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 887.001088,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.045315258000016456,
                    0.04500540800000863,
                    0.04543943100003389,
                    0.044943801999977495,
                    0.0446661610000092,
                    0.04435846400002674,
                    0.0441869429999997,
                    0.04493431399998826,
                    0.04473139300000639,
                    0.04406686700002638,
                    0.0443111550000026,
                    0.045462794000002305,
                    0.045664713999997275,
                    0.04476689999995642,
                    0.044840978999957315,
                    0.044553099000040675,
                    0.044519044999958624,
                    0.0399290599999631,
                    0.03900099999998474,
                    0.038749579000011636,
                    0.039543455999989874,
                    0.03972950600001468,
                    0.038874603000010666,
                    0.038722658000040155
                ],
                "count": 24,
                "total": 1.0363165890000232,
                "mean": 0.04317985787500097,
                "p50": 0.04453607199999965,
                "p90": 0.04540217910002866,
                "p95": 0.04545928955000704,
                "p99": 0.04561827239999843,
                "stdev": 0.0025804216130324185,
                "stdev_": 5.97598449837964
            },
            "throughput": {
                "unit": "samples/s",
                "value": 23.15894607376536
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.5828221655555509e-06,
                "ram": 6.618519269756574e-08,
                "gpu": 0.0,
                "total": 1.6490073582531165e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 606425.4322426763
            }
        }
    }
}