tf.squeeze函数

import numpy as np
import tensorflow as tf
'''
移除张量形状中大小为1的维度
'''

x = np.array([[[[2], [1]]]])
print(x.shape)  #(1, 1, 2, 1)

x0 = tf.squeeze(x, axis =0) 
print(x0.shape)  #(1, 2, 1)

x1 = tf.squeeze(x, axis = 1)
print(x1.shape)  #(1, 2, 1)

x3 = tf.squeeze(x, axis = 3)
print(x3.shape)  #(1, 1, 2)


x2 = tf.squeeze(x, axis = 2)
print(x2.shape)    #报错 
'''
Can not squeeze dim[2], expected a dimension of 1, 
 2 for 'Squeeze_10' (op: 'Squeeze') with input shapes: [1,1,2,1]
 '''

移除张量中大小为1的维度