tf.subtract()

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参考官方文档

format:subtract(x, y, name=None)

Args:
x: A `Tensor`. Must be one of the following types: `half`, `float32`, `float64`, `int32`, `int64`, `complex64`, `complex128`.
y: A `Tensor`. Must have the same type as `x`.(也是强调x,y两个参数类型必须相同)

name: A name for the operation (optional).

Returns:
A `Tensor`. Has the same type as `x`.x - y element-wise.（返回的数据类型与x相同，且是x-y的操作是元素级别的，具体看栗子）

栗子

import tensorflow as tf  #两个矩阵相减x=tf.constant([[1,2],[2,1]])  y=tf.constant([[1,1],[1,2]])z=tf.subtract(x,y)#一个矩阵减一个数x1=tf.constant([[1,2],[2,1]])  y1=tf.constant(2)z1=tf.subtract(x1,y1)#一个数减一个矩阵x2=tf.constant(2)y2=tf.constant([[1,2],[2,1]])z2=tf.subtract(x2,y2)with tf.Session() as sess:    z_v,z1_v=sess.run([z,z1])    print('z = \n%s'%(z_v))    print('z1 = \n%s'%(z1_v))

结果

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