【发布时间】：2020-06-16 08:01:59
【问题描述】：
我遇到了 tensorflow os 警告问题。我知道已经有很多关于堆栈溢出的解决方案，并且已经尝试过所有这些解决方案。就像例如这个：Disable Tensorflow debugging information
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import logging
logging.getLogger('tensorflow').setLevel(logging.ERROR)
import tensorflow as tf
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
tf.config.set_soft_device_placement(True)
tf.debugging.set_log_device_placement(True)
list_gpu = tf.config.experimental.list_physical_devices(device_type='GPU')
for gpu in list_gpu: tf.config.experimental.set_memory_growth(gpu, True)
print('Num GPUs Available: ', len(list_gpu))
打印出来：
Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0
Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0
Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0
Executing op Add in device /job:localhost/replica:0/task:0/device:GPU:0
Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0
Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0
Executing op LogicalNot in device /job:localhost/replica:0/task:0/device:GPU:0
我错过了什么吗？
- Tensorflow 版本 = 2.2.1
- 使用 Google Colab
请帮忙！ TIA。
【问题讨论】：
标签： python-3.x tensorflow tensorflow2.0