Python3 Tensorlfow:增加或者减小矩阵维度的实现

[1, 2, 3] ==> [[1],[2],[3]]

import tensorflow as tf

a = tf.constant([1, 2, 3])
b = tf.expand_dims(a,1)

with tf.Session() as sess:
 a_, b_ = sess.run([a, b])
 print('a:')
 print(a_)
 print('b:')
 print(b_)

a:
[1 2 3]
b:
[[1]
 [2]
 [3]]

[1, 2, 3] ==> [[1,2,3]]

import tensorflow as tf

a = tf.constant([1, 2, 3])
b = tf.expand_dims(a, 0)

with tf.Session() as sess:
 a_, b_ = sess.run([a, b])
 print('a:')
 print(a_)
 print('b:')
 print(b_)

a:
[1 2 3]
b:
[[1 2 3]]

[[1, 2, 3]] ==> [1, 2, 3]

import tensorflow as tf

a = tf.constant([[1, 2, 3]])
b = tf.squeeze(a)

with tf.Session() as sess:
 a_, b_ = sess.run([a, b])
 print('a:')
 print(a_)
 print('b:')
 print(b_)

a:
[[1 2 3]]
b:
[1 2 3]

[[1], [2], [3]] ==> [[1, 2, 3]

import tensorflow as tf

a = tf.constant([[1], [2], [3]])
b = tf.squeeze(a, 1)

with tf.Session() as sess:
 a_, b_ = sess.run([a, b])
 print('a:')
 print(a_)
 print('b:')
 print(b_)

input=(A ， 1 ， B ， C ，1 ， D)
squeeze(input)=(A，B，C，D)
input= （A, 1, B）

unsqueeze(input, 0)=(1, A ， B ， C ， D)
unsqueeze(input, 1)=(A ， 1, B ， C ， D)
unsqueeze(input, -5)=(1, A ， B ， C ， D)