{
    "config": {
        "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "multiple-choice",
            "library": "transformers",
            "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": {},
            "hub_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,
            "latency": true,
            "memory": 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",
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.354496,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.2.0",
            "optimum_benchmark_commit": "e65976e2695b67f37a76baa42b75347a3a733547",
            "transformers_version": "4.40.2",
            "transformers_commit": null,
            "accelerate_version": "0.30.1",
            "accelerate_commit": null,
            "diffusers_version": "0.27.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.3",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 940.187648,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 22,
                "total": 1.0391155839998873,
                "mean": 0.047232526545449426,
                "stdev": 0.00087941319868881,
                "p50": 0.047179822499970214,
                "p90": 0.04806494870001075,
                "p95": 0.048294238899981676,
                "p99": 0.04852875527999515,
                "values": [
                    0.04780903699997907,
                    0.046613620000016454,
                    0.04718009099997289,
                    0.04489864300001045,
                    0.04830618699998013,
                    0.04702978899996424,
                    0.047764752999967186,
                    0.047810758999958125,
                    0.04549364500002184,
                    0.046862415000020974,
                    0.0478567709999993,
                    0.04677363599995488,
                    0.048044462000007115,
                    0.04701852300001974,
                    0.04806722500001115,
                    0.04717955399996754,
                    0.04799040199998217,
                    0.04716295299999729,
                    0.04710578600003146,
                    0.046062256000027446,
                    0.04749715799999876,
                    0.04858791899999915
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 21.171850695680053
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.5665690104166667e-06,
                "ram": 6.5461088046834e-08,
                "gpu": 0.0,
                "total": 1.6320300984635008e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 612733.7975822046
            }
        }
    }
}