查看tensorflow中的具体值

1. 查看tensorflow的变量值

#用tf.Session()函数
import tensorflow as tf
sess=tf.Session()
w1=tf.Variable(5,dtype=tf.int32)
sess.run(tf.global_variables_initializer())
print(sess.run(w1))

#或者用with结构

import tensorflow as tf
w1=tf.Variable(5,dtype=tf.int32) 
with tf.Session() as sess:
sess.run(tf.global_variables_initializer()) 
print(sess.run(w1))

import tensorflow as tf
biases=tf.Variable(tf.zeros([2,3]))#定义一个2x3的全0矩阵
sess=tf.InteractiveSession()#使用InteractiveSession函数
biases.initializer.run()#使用初始化器 initializer op 的 run() 方法初始化 'biases' 
print(sess.run(biases))#输出变量值

sess=tf.InteractiveSession()
w=tf.Variable(1,dtype=tf.int32)
tf.global_variables_initializer().run()
print(sess.run(w))

2.tensorflow中一般的tensor的值

import tensorflow as tf
x = tf.constant(1)
with tf.Session() as sess:
print sess.run(x)

import tensorflow as tf
x = tf.constant(1)
sess = tf.InteractiveSession()
print (x.eval())