{
    "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": 16757.338112,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": "a5a350c56b08f0a4cf90d3c7d06fa41c798bfc83",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 947.781632,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.29873779899998,
                "mean": 4.29873779899998,
                "stdev": 0.0,
                "p50": 4.29873779899998,
                "p90": 4.29873779899998,
                "p95": 4.29873779899998,
                "p99": 4.29873779899998,
                "values": [
                    4.29873779899998
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.812599446666595e-05,
                "ram": 2.0114339774498277e-06,
                "gpu": 0,
                "total": 5.0137428444115775e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 958.398464,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 25,
                "total": 1.0248644289998765,
                "mean": 0.04099457715999506,
                "stdev": 0.0008643700008213193,
                "p50": 0.04078190600000653,
                "p90": 0.04166415439999582,
                "p95": 0.04232261600000129,
                "p99": 0.04389335619998746,
                "values": [
                    0.04123897800002396,
                    0.040736231000039425,
                    0.040427175999980136,
                    0.040670618999968156,
                    0.04078190600000653,
                    0.04154043799996998,
                    0.0407234979999771,
                    0.04063856999999871,
                    0.04081477699998004,
                    0.04078533299997389,
                    0.04076291199999105,
                    0.040994682000018656,
                    0.04054065799999762,
                    0.04100303799998528,
                    0.04041435199997068,
                    0.04113482299999305,
                    0.04174663200001305,
                    0.04246661199999835,
                    0.04121110599999156,
                    0.040365161000011085,
                    0.04121264899998778,
                    0.04434390699998403,
                    0.04030620100002125,
                    0.03995546799995964,
                    0.04004870200003552
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 24.39347028991579
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.5635969968888682e-06,
                "ram": 6.53430474354232e-08,
                "gpu": 0.0,
                "total": 1.6289400443242914e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 613896.1366222751
            }
        }
    }
}