{ "config": { "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased", "backend": { "name": "pytorch", "version": "2.3.1+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": "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-6.5.0-1023-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.14", "optimum_benchmark_version": "0.3.1", "optimum_benchmark_commit": "61123f7169ae188508e9e8c5ca6b9a54a00965ed", "transformers_version": "4.42.4", "transformers_commit": null, "accelerate_version": "0.32.1", "accelerate_commit": null, "diffusers_version": "0.29.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.7", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 966.070272, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 1, "total": 4.299857883000016, "mean": 4.299857883000016, "stdev": 0.0, "p50": 4.299857883000016, "p90": 4.299857883000016, "p95": 4.299857883000016, "p99": 4.299857883000016, "values": [ 4.299857883000016 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 5.038513739903768e-05, "ram": 2.1058805808945637e-06, "gpu": 0, "total": 5.249101797993225e-05 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 879.98464, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 23, "total": 1.0157950860000824, "mean": 0.04416500373913402, "stdev": 0.0010018890951548859, "p50": 0.044256098000005295, "p90": 0.04543262779998258, "p95": 0.04546320659998741, "p99": 0.04599184085999923, "values": [ 0.04406760700004497, 0.044408042000043224, 0.042759620000026644, 0.045465584999988096, 0.04382597099998975, 0.04377622800001291, 0.044490026999994825, 0.043352533000017957, 0.043343907000007675, 0.04518156299997145, 0.04402121699996542, 0.044070309000005636, 0.04449001599999747, 0.04441329299999097, 0.043124874999989515, 0.04440564800000857, 0.04539593499998773, 0.044256098000005295, 0.043336112000019966, 0.04614027200000237, 0.0454418009999813, 0.04457699900001444, 0.04145142800001622 ] }, "throughput": { "unit": "samples/s", "value": 22.642361945820767 }, "energy": { "unit": "kWh", "cpu": 1.5410996400392974e-06, "ram": 6.440410990347363e-08, "gpu": 0.0, "total": 1.605503749942771e-06 }, "efficiency": { "unit": "samples/kWh", "value": 622857.4676550245 } } } }