TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
invert_permutation() is used to compute inverse permutation of a tensor.
Syntax: tensorflow.math.invert_permutation( x, name)
Parameters:
- x: It is a 1-D tensor. Allowed dtypes are int32 and int64. Tensor values should be in range [0, 4).
- name(optional): It defines the name of the operation
Returns: It returns a tensor of dtype as x.
Example 1:
Python3
# importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([1, 2, 3, 0], dtype = tf.int64)# Printing the input tensorprint('a: ', a)# Calculating the resultres = tf.math.invert_permutation(a)# Printing the resultprint('Result: ', res) |
Output:
a: tf.Tensor([1 2 3 0], shape=(4, ), dtype=int64) Result: tf.Tensor([3 0 1 2], shape=(4, ), dtype=int64)
Example 2: This example uses out of range value. It will raise InvalidArgument Error
Python3
# Importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([1, 2, 3, 4], dtype = tf.int64)# Printing the input tensorprint('a: ', a)# Calculating the resultres = tf.math.invert_permutation(a)# Printing the resultprint('Result: ', res) |
Output:
a: tf.Tensor([1 2 3 4], shape=(4, ), dtype=int64)
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
in ()
9
10 # Calculating the result
---> 11 res = tf.math.invert_permutation(a)
12
13 # Printing the result
2 frames
/usr/local/lib/python3.6/dist-packages/six.py in raise_from(value, from_value)
InvalidArgumentError: 4 is not between 0 and 4 [Op:InvertPermutation]
