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": "2.4.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "library": "transformers",
            "model_type": "bert",
            "model": "google-bert/bert-base-uncased",
            "processor": "google-bert/bert-base-uncased",
            "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": "0.5.0.dev0",
            "optimum_benchmark_commit": "d58bb2582b872c25ab476fece19d4fa78e190673",
            "transformers_version": "4.45.2",
            "transformers_commit": null,
            "accelerate_version": "1.0.0",
            "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
        },
        "print_report": true,
        "log_report": true
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 970.043392,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.3058631380000065
                ],
                "count": 1,
                "total": 1.3058631380000065,
                "mean": 1.3058631380000065,
                "p50": 1.3058631380000065,
                "p90": 1.3058631380000065,
                "p95": 1.3058631380000065,
                "p99": 1.3058631380000065,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": null,
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 883.929088,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.04368586300000743,
                    0.04371709499997678,
                    0.037257431999989876,
                    0.03801591199999166,
                    0.0385734360000356,
                    0.03857654099999763,
                    0.038570860999982415,
                    0.03733933499995601,
                    0.03745758599995952,
                    0.03776213599996936,
                    0.03795808400002443,
                    0.03808961999999383,
                    0.03826132799997595,
                    0.03806964200003904,
                    0.037662499999953525,
                    0.03769923900000549,
                    0.037966623000045274,
                    0.03840353499998628,
                    0.03798813999998174,
                    0.03765777099999923,
                    0.03788488699996151,
                    0.037611895999987155,
                    0.03749275199999147,
                    0.037707004000026245,
                    0.04316576299999042,
                    0.037983139999994364
                ],
                "count": 26,
                "total": 1.0025581209998222,
                "mean": 0.038559927730762396,
                "p50": 0.03797488150001982,
                "p90": 0.040871151999994026,
                "p95": 0.04355583800000318,
                "p99": 0.04370928699998444,
                "stdev": 0.0018287204864042821,
                "stdev_": 4.742541270235221
            },
            "throughput": {
                "unit": "samples/s",
                "value": 25.933658563426675
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.431526901388875e-06,
                "ram": 5.985855971352945e-08,
                "gpu": 0.0,
                "total": 1.4913854611024045e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 670517.4658607832
            }
        }
    }
}