{
    "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": 16757.342208,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": "3e7bebdc507bc4e37dce5660074b7586de6b39b2",
            "transformers_version": "4.43.3",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.29.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.8",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 947.470336,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.3331466810000165,
                "mean": 4.3331466810000165,
                "stdev": 0.0,
                "p50": 4.3331466810000165,
                "p90": 4.3331466810000165,
                "p95": 4.3331466810000165,
                "p99": 4.3331466810000165,
                "values": [
                    4.3331466810000165
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.785924885008071e-05,
                "ram": 2.0002840173833647e-06,
                "gpu": 0,
                "total": 4.985953286746407e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 955.727872,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 30,
                "total": 1.0197446579999223,
                "mean": 0.03399148859999741,
                "stdev": 0.001243085006757511,
                "p50": 0.03419253200002004,
                "p90": 0.03462751789998038,
                "p95": 0.035158132650011,
                "p99": 0.03706773842999837,
                "values": [
                    0.03418178200001876,
                    0.035577353999997285,
                    0.03323184499998888,
                    0.03236416099997541,
                    0.03397727899999836,
                    0.034325480999996216,
                    0.03462549199997511,
                    0.03420328200002132,
                    0.033973602999992636,
                    0.033303257999989455,
                    0.032168495000007624,
                    0.03437552399998367,
                    0.03464575100002776,
                    0.034236935999956586,
                    0.033922747000019626,
                    0.03408492099998739,
                    0.033197430000029726,
                    0.03407322800001111,
                    0.03417889700000387,
                    0.03405251100002715,
                    0.034297970000011446,
                    0.03426799299995764,
                    0.034315011999979106,
                    0.037676486999998815,
                    0.034302298000000064,
                    0.03437906099998145,
                    0.034401182999999946,
                    0.03428140899995924,
                    0.03365195100002438,
                    0.029471317000002273
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 29.41912935228368
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1492544139911927e-06,
                "ram": 4.802981317248075e-08,
                "gpu": 0.0,
                "total": 1.1972842271636733e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 835223.5645574041
            }
        }
    }
}