tensorflow 取出中间变量

tf.add_to_collection:把变量放入一个集合,把很多变量变成一个列表

tf.get_collection:从一个结合中取出全部变量,是一个列表

import tensorflow as tf   
import numpy as np   
import matplotlib.pyplot as plt 

v1 = tf.get_variable(name='v1', shape=[1], initializer=tf.constant_initializer(0))  
#tf.add_to_collection('loss', v1)  
v2 = tf.get_variable(name='v2', shape=[1], initializer=tf.constant_initializer(2))  
tf.add_to_collection('loss', v2)  

with tf.Session() as sess:  
    sess.run(tf.initialize_all_variables())  
    print(tf.get_collection('loss'))
with tf.Session() as sess:
    sess.run(tf.initialize_all_variables())  
    print(sess.run(tf.get_collection('loss'))) 

输出:
这里写图片描述

reference

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转载自blog.csdn.net/m0_37052320/article/details/80248454