{
    "config": {
        "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.1+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": null,
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16766.7712,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.15",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": "74ced8402064e977675db1260acc02c86f436230",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.34.2",
            "accelerate_commit": null,
            "diffusers_version": "0.30.3",
            "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": 939.78624,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.671287318999987,
                "mean": 4.671287318999987,
                "stdev": 0.0,
                "p50": 4.671287318999987,
                "p90": 4.671287318999987,
                "p95": 4.671287318999987,
                "p99": 4.671287318999987,
                "values": [
                    4.671287318999987
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.968101743888869e-05,
                "ram": 2.0775915676808085e-06,
                "gpu": 0,
                "total": 5.17586090065695e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 947.388416,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 27,
                "total": 1.005779675000042,
                "mean": 0.03725109907407563,
                "stdev": 0.0006991846286503952,
                "p50": 0.0371774689999711,
                "p90": 0.03806194479998339,
                "p95": 0.03849424419998968,
                "p99": 0.03907574014001056,
                "values": [
                    0.037298423999970964,
                    0.036724679000030847,
                    0.03660080000003063,
                    0.0361763909999695,
                    0.03666782300001614,
                    0.03708860399996183,
                    0.03679307500004825,
                    0.036477540000021236,
                    0.03673853399999416,
                    0.03736303300001964,
                    0.0371774689999711,
                    0.03737504500003297,
                    0.03767573400000401,
                    0.03797662199997376,
                    0.03862466499998618,
                    0.03791970700001457,
                    0.036990941999988536,
                    0.039234226000019135,
                    0.03681071900001598,
                    0.03661535600002708,
                    0.03763147099999742,
                    0.0377423279999789,
                    0.03745688699996208,
                    0.038189928999997846,
                    0.03679347700000335,
                    0.03640700900001548,
                    0.03722918599999048
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 26.844845517482614
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.4327353638888793e-06,
                "ram": 5.991023034822035e-08,
                "gpu": 0.0,
                "total": 1.4926455942370995e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 669951.396273076
            }
        }
    }
}