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": 16757.342208,
            "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": "d7339efdbbcababd22ca2f563771622060764f8f",
            "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": 938.438656,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 28,
                "total": 1.0199210830001562,
                "mean": 0.03642575296429129,
                "stdev": 0.0009322579378651567,
                "p50": 0.03634135300001162,
                "p90": 0.03752720999995063,
                "p95": 0.03824649084998555,
                "p99": 0.038458147170035206,
                "values": [
                    0.03847114200004853,
                    0.03714768900005083,
                    0.03732992800001966,
                    0.037918663999960245,
                    0.035081923999996434,
                    0.03842301299999917,
                    0.03611660100000336,
                    0.0366241550000268,
                    0.036964878999981465,
                    0.03676261200001818,
                    0.03510695200003511,
                    0.03554268199997068,
                    0.03735944399994651,
                    0.03682423700001891,
                    0.03650953099997878,
                    0.03617139200002839,
                    0.036173175000044466,
                    0.03614495200002921,
                    0.03603284400003304,
                    0.03493645399998968,
                    0.03600168599996323,
                    0.03655700000001616,
                    0.035461691000023166,
                    0.03571614499998077,
                    0.03493749500000831,
                    0.03615012300002718,
                    0.036800282000001516,
                    0.03665439099995638
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 27.453104428076337
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.2226688779062696e-06,
                "ram": 5.109714310549407e-08,
                "gpu": 0.0,
                "total": 1.2737660210117637e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 785073.5405908308
            }
        }
    }
}