{
    "config": {
        "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.5.1+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": 2,
                "sequence_length": 16,
                "num_choices": 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": 16757.342208,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.15",
            "optimum_benchmark_version": "0.5.0.dev0",
            "optimum_benchmark_commit": "58cc0e5ee90edf2ed9be8da04bbd5a641f13c036",
            "transformers_version": "4.46.3",
            "transformers_commit": null,
            "accelerate_version": "1.1.1",
            "accelerate_commit": null,
            "diffusers_version": "0.31.0",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.11",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        },
        "print_report": true,
        "log_report": true
    },
    "report": {
        "load_model": {
            "memory": {
                "unit": "MB",
                "max_ram": 969.568256,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.22046472400001
                ],
                "count": 1,
                "total": 1.22046472400001,
                "mean": 1.22046472400001,
                "p50": 1.22046472400001,
                "p90": 1.22046472400001,
                "p95": 1.22046472400001,
                "p99": 1.22046472400001,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 0.00017570537553333326,
                "ram": 7.344507394346867e-06,
                "gpu": 0,
                "total": 0.00018304988292768012
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 985.55904,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.1803939170000035,
                    0.1797231600000373,
                    0.1810573099999715,
                    0.11908147700000882,
                    0.09385060099998555,
                    0.10635738100000935,
                    0.09344877600000245,
                    0.09460203900005126
                ],
                "count": 8,
                "total": 1.0485146610000697,
                "mean": 0.13106433262500872,
                "p50": 0.11271942900000909,
                "p90": 0.1805929348999939,
                "p95": 0.1808251224499827,
                "p99": 0.18101087248997375,
                "stdev": 0.03902515251175623,
                "stdev_": 29.77557030974401
            },
            "throughput": {
                "unit": "samples/s",
                "value": 15.259681714645033
            },
            "energy": {
                "unit": "kWh",
                "cpu": 4.008986135000138e-06,
                "ram": 1.6754314369254303e-07,
                "gpu": 0.0,
                "total": 4.176529278692682e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 478866.5100956819
            }
        }
    }
}