# Python – tensorflow.IndexedSlices.indices Attribute

• 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:  
```

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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