tensorflow 中查看张量值和张量大小

通过

with tf.Session() as sess:

    print (sess.run(y))

即可打印出变量的值。下面给出例子

import numpy as np
import tensorflow as tf
x = tf.constant([1,2,3,4,5,6])
y=tf.reshape(x,(2,3))
with tf.Session() as sess:
    print (sess.run(y))

2.在有的程序中需要使用如下

init_op = tf.global_variables_initializer()
with tf.Session() as sess:
    sess.run(init_op)

print(sess.run(y))

来查看张量，例子：

import numpy as np
import tensorflow as tf
x = tf.constant([1,2,3,4,5,6])
y=tf.reshape(x,[1,1,1,2,3])
init_op = tf.global_variables_initializer()
with tf.Session() as sess:
    sess.run(init_op)
    print(sess.run(y))

3.查看张量的大小。通过 变量名.shape即可显示，例子如下：

import numpy as np
import tensorflow as tf
x = tf.constant([1,2,3,4,5,6])
y=tf.reshape(x,[1,1,1,2,3])
print (y.shape)

以上是在python3以上版本运行