Python – Tensorflow bitwise.bitwise_and() 方法

Tensorflow bitwise.bitwise_and()方法执行 bitwise_and 操作并返回那些在 a 和 b 中都是 set(1) 的位集。该操作是在 a 和 b 的表示上完成的。
该方法属于按位模块。

Syntax: tf.bitwise.bitwise_and( a, b, name=None)

Arguments

• a: This must be a Tensor.It should be from the one of the following types: int8, int16, int32, int64, uint8, uint16, uint32, uint64.
• b: This should also be a Tensor, Type same as a.
• name: This is optional parameter and this is the name of the operation.

Return: It returns a Tensor having the same type as a and b.

让我们通过几个例子来看看这个概念：
示例 1：

# Importing the Tensorflow library 
import tensorflow as tf 
  
# A constant a and b
a = tf.constant(4, dtype = tf.int32)
b = tf.constant(6, dtype = tf.int32)  
  
# Applying the bitwise_and() function 
# storing the result in 'c' 
c = tf.bitwise.bitwise_and(a, b) 
  
# Initiating a Tensorflow session 
with tf.Session() as sess:
    print("Input 1", a)
    print(sess.run(a))
    print("Input 2", b)
    print(sess.run(b))
    print("Output: ", c)
    print(sess.run(c))

输出：

Input 1 Tensor("Const_41:0", shape=(), dtype=int32)
4
Input 2 Tensor("Const_42:0", shape=(), dtype=int32)
6
Output:  Tensor("BitwiseAnd_5:0", shape=(), dtype=int32)
4

示例 2：

# Importing the Tensorflow library 
import tensorflow as tf 
  
# A constant a and b
a = tf.constant([1, 2, 7], dtype = tf.int32)
b = tf.constant([1, 5, 8], dtype = tf.int32)  
  
# Applying the bitwise_and() function 
# storing the result in 'c' 
c = tf.bitwise.bitwise_and(a, b) 
  
# Initiating a Tensorflow session 
with tf.Session() as sess:
    print("Input 1", a)
    print(sess.run(a))
    print("Input 2", b)
    print(sess.run(b))
    print("Output: ", c)
    print(sess.run(c))

输出：

Input 1 Tensor("Const_43:0", shape=(3, ), dtype=int32)
[1 2 7]
Input 2 Tensor("Const_44:0", shape=(3, ), dtype=int32)
[1 5 8]
Output:  Tensor("BitwiseAnd_6:0", shape=(3, ), dtype=int32)
[1 0 0]

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