TensorFlow2运行报错AttributeError: module 'tensorflow' has no attribute 'placeholder'

在使用测试代码如下：

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
 
a = tf.placeholder(tf.int16)
b = tf.placeholder(tf.int16)
add = tf.add(a, b)
mul = tf.multiply(a, b)
 
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
 
with tf.Session(config=config) as sess:
    print(sess.run(add, feed_dict={a: 3, b: 4}))
    print(sess.run(mul, feed_dict={a: 3, b: 4}))
    print(sess.run([add, mul], feed_dict={a: 3, b: 4}))

报错

AttributeErrorTraceback (most recent call last)
<ipython-input-2-099bddc6c1d7> in <module>
      1 import tensorflow as tf
      2 
----> 3 a = tf.placeholder(tf.int16)
      4 b = tf.placeholder(tf.int16)
      5 add = tf.add(a, b)

AttributeError: module 'tensorflow' has no attribute 'placeholder'

查看tf版本。
我的是因为在tf2下使用了tf1的API。
解决方式:
使用

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

替换后的结果

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
 
a = tf.placeholder(tf.int16)
b = tf.placeholder(tf.int16)
add = tf.add(a, b)
mul = tf.multiply(a, b)
 
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
 
with tf.Session(config=config) as sess:
    print(sess.run(add, feed_dict={a: 3, b: 4}))
    print(sess.run(mul, feed_dict={a: 3, b: 4}))
    print(sess.run([add, mul], feed_dict={a: 3, b: 4}))