cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json

{
    "config": {
        "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "model": "google-bert/bert-base-uncased",
            "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": "d35829e539df8480b726c647eeabf91e41eae047",
            "transformers_version": "4.40.2",
            "transformers_commit": null,
            "accelerate_version": "0.30.0",
            "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": 866.758656,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 23,
                "total": 1.0226638580001008,
                "mean": 0.04446364600000439,
                "stdev": 0.002215722360182905,
                "p50": 0.04519085800001221,
                "p90": 0.04623836120002807,
                "p95": 0.046314261200041076,
                "p99": 0.04638651385999424,
                "values": [
                    0.04640519999998105,
                    0.04596497099998942,
                    0.046320263000040995,
                    0.04378102199996192,
                    0.045975309000027664,
                    0.04626024500004178,
                    0.04547089000004689,
                    0.045872518999999556,
                    0.04511732100002064,
                    0.04615082599997322,
                    0.04571374299996478,
                    0.04565357100000256,
                    0.04519085800001221,
                    0.044777258000010534,
                    0.044774261999975806,
                    0.04496793300000945,
                    0.04589775599998802,
                    0.04496859400001085,
                    0.04356929300001866,
                    0.03911323500000208,
                    0.041273219000004246,
                    0.04015205900003593,
                    0.03929351099998257
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 22.490283410404565
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.52391180013999e-06,
                "ram": 6.368626147732562e-08,
                "gpu": 0.0,
                "total": 1.5875980616173154e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 629882.3513183693
            }
        }
    }
}