tf.trainable_variables() and tf.all_variables()

v = tf.Variable(0, name=‘v‘)
v1 = tf.Variable(tf.constant(5, shape=[1], dtype=tf.float32), name=‘v1‘)

global_step = tf.Variable(6, name=‘global_step‘, trainable=False)　　　　# 声明不是训练变量

for ele1 in tf.trainable_variables():
    print(ele1.name)

print(‘*‘*10)

for ele2 in tf.all_variables():
    print(ele2.name)

v:0
v1:0
**********
v:0
v1:0
global_step:0