{ "config": { "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased", "backend": { "name": "pytorch", "version": "2.4.0+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": "error", "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-6.5.0-1024-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.14", "optimum_benchmark_version": "0.4.0", "optimum_benchmark_commit": "65fa416fd503cfe9a2be7637ee30c70a4a1f96f1", "transformers_version": "4.43.3", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.29.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.8", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 971.5712, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 1, "total": 4.562895952000019, "mean": 4.562895952000019, "stdev": 0.0, "p50": 4.562895952000019, "p90": 4.562895952000019, "p95": 4.562895952000019, "p99": 4.562895952000019, "values": [ 4.562895952000019 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 5.158249272240534e-05, "ram": 2.155851189598934e-06, "gpu": 0, "total": 5.3738343912004275e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 885.522432, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 22, "total": 1.0121311299999434, "mean": 0.04600596045454288, "stdev": 0.000973232568691573, "p50": 0.04621435100000326, "p90": 0.04687211910000997, "p95": 0.047378238300012754, "p99": 0.04816240387999869, "values": [ 0.04594586299998582, 0.045493015000033665, 0.04578848799997104, 0.04613852400001406, 0.046483580999961305, 0.04626299800003153, 0.04619136299999127, 0.04528163800000584, 0.043405722999978025, 0.04637264299998378, 0.04629527899999175, 0.044790818000024046, 0.04635562200002141, 0.04542083899997351, 0.047402604000012616, 0.045089788999973734, 0.04647524599999997, 0.046915290000015375, 0.04645325399997091, 0.04496683799999346, 0.046237339000015254, 0.04836437599999499 ] }, "throughput": { "unit": "samples/s", "value": 21.736313949755928 }, "energy": { "unit": "kWh", "cpu": 1.5743766360812718e-06, "ram": 6.57951283271359e-08, "gpu": 0.0, "total": 1.6401717644084078e-06 }, "efficiency": { "unit": "samples/kWh", "value": 609692.2418126672 } } } }