{
    "config": {
        "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "multiple-choice",
            "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": "0.3.1",
            "optimum_benchmark_commit": "e185b4a299427f88d515b3c18d3c0c0dc8e91cd8",
            "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": 946.798592,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.36921272699999,
                "mean": 4.36921272699999,
                "stdev": 0.0,
                "p50": 4.36921272699999,
                "p90": 4.36921272699999,
                "p95": 4.36921272699999,
                "p99": 4.36921272699999,
                "values": [
                    4.36921272699999
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.744744963116117e-05,
                "ram": 1.9830381380859306e-06,
                "gpu": 0,
                "total": 4.94304877692471e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 957.677568,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 22,
                "total": 1.0271697330001643,
                "mean": 0.046689533318189286,
                "stdev": 0.0012768491322219966,
                "p50": 0.046751225999997814,
                "p90": 0.04825483520000375,
                "p95": 0.04849416994997,
                "p99": 0.0486144937900292,
                "values": [
                    0.04726679800000966,
                    0.04637185100000352,
                    0.04489947900003699,
                    0.048249788000021,
                    0.04703500600004418,
                    0.04700022200000831,
                    0.04593905500001938,
                    0.046089375000008204,
                    0.04671603200000618,
                    0.048506736999968325,
                    0.0468162770000049,
                    0.04678641999998945,
                    0.04554203300000381,
                    0.04864313800004538,
                    0.046708734999981516,
                    0.04825539600000184,
                    0.04713419699999122,
                    0.04629812000001721,
                    0.04670545999999831,
                    0.0470287610000355,
                    0.04664340399995126,
                    0.04253344900001821
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 21.418076577998704
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.6164229181077746e-06,
                "ram": 6.755355298600989e-08,
                "gpu": 0.0,
                "total": 1.6839764710937843e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 593832.5250770727
            }
        }
    }
}