cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

{
    "config": {
        "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-classification",
            "model": "FacebookAI/roberta-base",
            "library": "transformers",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "hub_kwargs": {
                "revision": "main",
                "force_download": false,
                "local_files_only": false,
                "trust_remote_code": false
            },
            "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": 16757.346304,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.2.0",
            "optimum_benchmark_commit": "ebd20fcf042acf5db8d8956e7057fa93c82e14ab",
            "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": "0.9.16",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 938.184704,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 30,
                "total": 1.0082519999999704,
                "mean": 0.03360839999999901,
                "stdev": 0.0011557893681127009,
                "p50": 0.03358253450002735,
                "p90": 0.03504524500000344,
                "p95": 0.03552685609996331,
                "p99": 0.03571159646001888,
                "values": [
                    0.03358627100004696,
                    0.03428198699998575,
                    0.03303920199999766,
                    0.0332638009999755,
                    0.03391645599998583,
                    0.03497853300001452,
                    0.03354319999999689,
                    0.03184948699998813,
                    0.03185056900002792,
                    0.03238422200001878,
                    0.03254428100001405,
                    0.032321064999962346,
                    0.03450406000001749,
                    0.03552011199997196,
                    0.03453324399998792,
                    0.03244097799995416,
                    0.03234579100001156,
                    0.03245402200002445,
                    0.03194622799998115,
                    0.03473418800001582,
                    0.03366266299997278,
                    0.03357879800000774,
                    0.033161209000013514,
                    0.035532373999956235,
                    0.03390343199998824,
                    0.03264342500000339,
                    0.03499248200000693,
                    0.03578480000004447,
                    0.034552249000000756,
                    0.034402870999997504
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 29.754466145369296
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.3016993028146252e-06,
                "ram": 5.440036534121381e-08,
                "gpu": 0.0,
                "total": 1.356099668155839e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 737408.9261152175
            }
        }
    }
}