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: