# Python – tensorflow.IndexedSlices.dtype 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.

dtype is used to find the type of values in Tensor.

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Syntax: tensorflow.IndexedSlices.dtype

Returns: It returns the dtype of elements in the tensor.

Example 1:

## 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``])`` ` `# Finding dtype ``dtype ``=` `res.dtype`` ` `# Printing the result``print``(``'dtype: '``, dtype)`

Output:

```data:  tf.Tensor(
[[1 2 3]
[4 5 6]], shape=(2, 3), dtype=int32)
dtype:  <dtype: 'int32'>

```

Example 2:

## Python3

 `# Importing the library``import` `tensorflow as tf`` ` `# Initializing the input``data ``=` `tf.constant([[``1``, ``2``, ``3``], [``4``, ``5``, ``6``]], dtype ``=` `tf.float32)`` ` `# Printing the input``print``(``'data: '``, data)`` ` `# Calculating result``res ``=` `tf.IndexedSlices(data, [``0``])`` ` `# Finding dtype ``dtype ``=` `res.dtype`` ` `# Printing the result``print``(``'dtype: '``, dtype)`

Output:

```data:  tf.Tensor(
[[1. 2. 3.]
[4. 5. 6.]], shape=(2, 3), dtype=float32)
dtype:  <dtype: 'float32'>

```

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