關掉 TensorFlow 的除錯資訊
阿新 • • 發佈：2020-11-22
TensorFlow 每次執行的時候都會彈出類似下面的排程資訊
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcublas.so locally I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so locally I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so locally I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so locally I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:900] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties: name: Graphics Device major: 5 minor: 2 memoryClockRate (GHz) 1.0885 pciBusID 0000:04:00.0 Total memory: 12.00GiB Free memory: 11.83GiB I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0 I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y I tensorflow/core/common_runtime/gpu/gpu_device.cc:717] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Graphics Device, pci bus id: 0000:04:00.0) I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 1.0KiB
如果不想要這些排程資訊，可以設定不同等級的TF_CPP_MIN_LOG_LEVEL：
Level | Level for Humans | Level Description -------|------------------|------------------------------------ 0 | DEBUG | [Default] Print all messages 1 | INFO | Filter out INFO messages 2 | WARNING | Filter out INFO & WARNING messages 3 | ERROR | Filter out all messages
將TF_CPP_MIN_LOG_LEVEL設定為3：
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2'}
import tensorflow as tf