TensorFlow2.x和1.x版本的代码差别问题
import tensorflow as tf替换为：
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()①AttributeError: module 'tensorflow' has no attribute 'placeholder'
解决办法：将tf.placeholder改成tf.compat.v1.placeholder
在Anaconda3\envs\tensorflow\lib\site-packages\keras\backend\tensorflow_backend.py文件下，将import tensorflow as tf替换为
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
②AttributeError: module 'tensorflow' has no attribute 'set_random_seed'
解决办法：将tf.set_random_seed(1)改为tf.random.set_seed(1)
③AttributeError: module 'tensorflow' has no attribute 'get_variable'
解决办法：将tf.get_variable改成tf.compat.v1.get_variable
④AttributeError: module 'tensorflow' has no attribute 'global_variables_initializer'
解决办法：将tf.global_variables_initializer()改成tf.compat.v1.global_variables_initializer()
⑤AttributeError: module 'tensorflow' has no attribute 'Session'
解决办法：将with tf.Session() as sess_test改成with tf.compat.v1.Session() as sess_test
⑥AttributeError: module 'tensorflow' has no attribute 'reset_default_graph'
解决办法：将tf.reset_default_graph()改成
#用于清除默认图形堆栈并重置全局默认图形
from tensorflow.python.framework import ops #可不写
ops.reset_default_graph()
⑦RuntimeError: tf.placeholder() is not compatible with eager execution
解决办法：在import tensorflow as tf 后加上tf.compat.v1.disable_eager_execution()
关闭紧急执行，这也可以保证session.run()正常运行。
⑧AttributeError: module 'tensorflow' has no attribute 'contrib'
解决办法：将tf.contrib.layers.xavier_initializer改为tf.initializers.GlorotUniform