Python – TensorFlow bitwise.right_shift() 方法
Tensorflow bitwise.right_shift()
方法对输入 b 定义的输入 a 执行 right_shift 操作并返回新常量。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.right_shift( 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:
示例 1:
# Importing the Tensorflow library
import tensorflow as tf
# A constant a and b
a = tf.constant(256, dtype = tf.int32)
b = tf.constant(1, dtype = tf.int32)
# Applying the right_shift() function
# storing the result in 'c'
c = tf.bitwise.right_shift(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_57:0", shape=(), dtype=int32)
256
Input 2 Tensor("Const_58:0", shape=(), dtype=int32)
1
Output: Tensor("RightShift_3:0", shape=(), dtype=int32)
128
示例 2:
# Importing the Tensorflow library
import tensorflow as tf
# A constant a and b
a = tf.constant([8, 16, 32], dtype = tf.int32)
b = tf.constant([2, 2, 3], dtype = tf.int32)
# Applying the right_shift() function
# storing the result in 'c'
c = tf.bitwise.right_shift(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_53:0", shape=(3, ), dtype=int32)
[ 8 16 32]
Input 2 Tensor("Const_54:0", shape=(3, ), dtype=int32)
[2 2 3]
Output: Tensor("RightShift_1:0", shape=(3, ), dtype=int32)
[2 4 4]
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