{ "config": { "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased", "backend": { "name": "pytorch", "version": "2.5.1+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": 2, "sequence_length": 16, "num_choices": 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": 16757.342208, "system": "Linux", "machine": "x86_64", "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0.dev0", "optimum_benchmark_commit": "c57905d995d0a4050a31f71396bc574803c04834", "transformers_version": "4.46.3", "transformers_commit": null, "accelerate_version": "1.1.1", "accelerate_commit": null, "diffusers_version": "0.31.0", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.12", "timm_commit": null, "peft_version": null, "peft_commit": null }, "print_report": true, "log_report": true }, "report": { "load_model": { "memory": { "unit": "MB", "max_ram": 991.260672, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 1.4482849400000077 ], "count": 1, "total": 1.4482849400000077, "mean": 1.4482849400000077, "p50": 1.4482849400000077, "p90": 1.4482849400000077, "p95": 1.4482849400000077, "p99": 1.4482849400000077, "stdev": 0, "stdev_": 0 }, "throughput": null, "energy": { "unit": "kWh", "cpu": 0.0001811003895166667, "ram": 7.570020060736062e-06, "gpu": 0, "total": 0.00018867040957740278 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 926.285824, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.08775173099999733, 0.08844885499999577, 0.08694820900001332, 0.08590806099999782, 0.0878877660000228, 0.08664045300000112, 0.08819273599999633, 0.08783105999998497, 0.08683635799999934, 0.08832910099999935, 0.08654665699998532, 0.07804133499999466 ], "count": 12, "total": 1.0393623219999881, "mean": 0.08661352683333234, "p50": 0.08734997000000533, "p90": 0.08831546449999905, "p95": 0.08838299029999774, "p99": 0.08843568205999616, "stdev": 0.002698056774911329, "stdev_": 3.1150524329797977 }, "throughput": { "unit": "samples/s", "value": 23.091081417900654 }, "energy": { "unit": "kWh", "cpu": 3.4514677263888994e-06, "ram": 1.4424296503310558e-07, "gpu": 0.0, "total": 3.595710691422006e-06 }, "efficiency": { "unit": "samples/kWh", "value": 556218.2755056565 } } } }