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# Python – Tensorflow bitwise.right_shift() method

• Last Updated : 04 Jun, 2020

Tensorflow `bitwise.right_shift()` method performs the right_shift operation on input a defined by input b and return the new constant. The operation is done on the representation of a and b.
This method belongs to bitwise module.

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.

Let’s see this concept with the help of few examples:
Example 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))`

Output:

```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
```

Example 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))`

Output:

```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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