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Python – tensorflow.IndexedSlices.indices Attribute

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  • Last Updated : 20 Jul, 2020

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks.

indices is used to find the indices of the slice.

Syntax: tensorflow.IndexedSlices.indices

Returns: It returns a 1-D Tensor containing the indices of slice.

Example 1:

Python3




# Importing the library
import tensorflow as tf
  
# Initializing the input
data = tf.constant([1, 2, 3])
  
# Printing the input
print('data: ', data)
  
# Calculating result
res = tf.IndexedSlices(data, [0])
  
# Finding Graph 
indices = res.indices
  
# Printing the result
print('Indices: ', indices)


Output:


data:  tf.Tensor([1 2 3], shape=(3, ), dtype=int32)
Indices:  [0]

Example 2:

Python3




# Importing the library
import tensorflow as tf
  
# Initializing the input
data = tf.constant([[1, 2, 3], [4, 5, 6]])
  
# Printing the input
print('data: ', data)
  
# Calculating result
res = tf.IndexedSlices(data, [0, 1])
  
# Finding Graph 
indices = res.indices
  
# Printing the result
print('Indices: ', indices)


Output:


data:  tf.Tensor(
[[1 2 3]
 [4 5 6]], shape=(2, 3), dtype=int32)
Indices:  [0, 1]


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