tensorflow学习知识点

"""
slim.model_analyzer.analyze_vars打印出与训练变量相关的信息
"""
import tensorflow as tf
import tensorflow.contrib.slim as slim
x1=tf.Variable(tf.constant(1,shape=[1],dtype=tf.float32,name='x1'))
x2=tf.Variable(tf.random_normal(shape=[2,1],dtype=tf.float32,name='x2'))
y=tf.trainable_variables()
for i in y:
    print(6666)
    print(i)
slim.model_analyzer.analyze_vars(y,print_info=True)
print(88888888)

"""
tf.concat拼接
"""
import tensorflow as tf
t1=tf.constant([[1,2,3],[4,5,6]])
t2=tf.constant([[7,8,9],[10,11,12]])
t3=tf.concat([t1,t2],0)
t4=tf.concat([t1,t2],1)
print('t1={}'.format(t1))
print('t2={}'.format(t2))
print('t3={}'.format(t3))
print('t4={}'.format(t4))