{ "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": 16766.767104, "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": "0.4.0", "optimum_benchmark_commit": "39ca491b78042552094f1505a2e66a0a588b62e8", "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.34.2", "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 } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 964.472832, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 1, "total": 4.3588868940000225, "mean": 4.3588868940000225, "stdev": 0.0, "p50": 4.3588868940000225, "p90": 4.3588868940000225, "p95": 4.3588868940000225, "p99": 4.3588868940000225, "values": [ 4.3588868940000225 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 5.0852574499999534e-05, "ram": 2.126608655726481e-06, "gpu": 0, "total": 5.2979183155726014e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 878.4896, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 24, "total": 1.0291389549999508, "mean": 0.04288078979166462, "stdev": 0.002211006475313825, "p50": 0.043524615000023914, "p90": 0.044999490999987304, "p95": 0.04531083289999458, "p99": 0.04579828269996938, "values": [ 0.04506717699996443, 0.044841557000040666, 0.04349196399999755, 0.0453538309999999, 0.04593104099996026, 0.044196495999983654, 0.043359126999973796, 0.043147513000008075, 0.042913798000029146, 0.04410598699996626, 0.043790419999993446, 0.04342629100000295, 0.04379934600001434, 0.04360289099997772, 0.04420080400001325, 0.04369033300002911, 0.043476827000006324, 0.04316030600000431, 0.043557266000050276, 0.03940938699997787, 0.03889400299999579, 0.03853955300002099, 0.038530504999982895, 0.03865253199995777 ] }, "throughput": { "unit": "samples/s", "value": 23.320465990912904 }, "energy": { "unit": "kWh", "cpu": 1.5162432743590082e-06, "ram": 6.340148630681975e-08, "gpu": 0.0, "total": 1.579644760665828e-06 }, "efficiency": { "unit": "samples/kWh", "value": 633053.7250530272 } } } }