{ "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": 16757.342208, "system": "Linux", "machine": "x86_64", "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.14", "optimum_benchmark_version": "0.4.0", "optimum_benchmark_commit": "e93df0927946c9a7079bacb659484e01e92cbba6", "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": 968.327168, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 1, "total": 4.631680646999996, "mean": 4.631680646999996, "stdev": 0.0, "p50": 4.631680646999996, "p90": 4.631680646999996, "p95": 4.631680646999996, "p99": 4.631680646999996, "values": [ 4.631680646999996 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 5.116365757222355e-05, "ram": 2.138414146169247e-06, "gpu": 0, "total": 5.33020717183928e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 882.540544, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 23, "total": 1.0245781089998331, "mean": 0.044546874304340574, "stdev": 0.002999675174925045, "p50": 0.044006250999984786, "p90": 0.04799688899996681, "p95": 0.04946812539997722, "p99": 0.0526130985800046, "values": [ 0.049623076999978366, 0.04769020099996624, 0.04635208999997076, 0.041372439999975086, 0.04262447799999336, 0.04194546500002616, 0.04352643999999373, 0.042621052000015425, 0.04713256499996987, 0.04531917299999577, 0.04221365699999069, 0.041983807000008255, 0.04259357099999761, 0.041667322999956014, 0.0418399069999964, 0.04140674500001751, 0.04551155399997242, 0.04540541599999415, 0.044006250999984786, 0.053456438000011985, 0.04407935800003315, 0.044133540000018456, 0.04807356099996696 ] }, "throughput": { "unit": "samples/s", "value": 22.44826411765913 }, "energy": { "unit": "kWh", "cpu": 1.6584560465277478e-06, "ram": 6.93082405825325e-08, "gpu": 0.0, "total": 1.7277642871102805e-06 }, "efficiency": { "unit": "samples/kWh", "value": 578782.6542430273 } } } }