# Python – tensorflow.math.is_inf()

• Last Updated : 16 Jun, 2021

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

is_inf() returns true is element is infinite otherwise it returns false.

Syntax: tensorflow.math.is_inf( x, name)

Parameters:

• x: It is a tensor. Allowed dtypes are bfloat16, half, float32, float64.
• name(optional): It defines the name of the operation

Returns: It returns a tensor of dtype bool.

Example 1:

## Python3

 `# importing the library` `import` `tensorflow as tf` `import` `numpy as np`   `# Initializing the input tensor` `a ``=` `tf.constant([``7``, ``8``, ``13``, ``11``, np.inf], dtype ``=` `tf.float64)`   `# Printing the input tensor` `print``(``'a: '``, a)`   `# Calculating the result` `res ``=` `tf.math.is_inf(a)`   `# Printing the result` `print``(``'Result: '``, res)`

Output:

```a:  tf.Tensor([ 7.  8. 13. 11. inf], shape=(5, ), dtype=float64)
Result:  tf.Tensor([False False False False  True], shape=(5, ), dtype=bool)```

Example 2: This example uses numpy nan and checks it infiniteness.

## Python3

 `# Importing the library` `import` `tensorflow as tf` `import` `numpy as np`   `# Initializing the input tensor` `a ``=` `tf.constant([``7``, ``8``, ``13``, ``11``, np.nan], dtype ``=` `tf.float64)`   `# Printing the input tensor` `print``(``'a: '``, a)`   `# Calculating the result` `res ``=` `tf.math.is_inf(a)`   `# Printing the result` `print``(``'Result: '``, res)`

Output:

```a:  tf.Tensor([ 7.  8. 13. 11. nan], shape=(5, ), dtype=float64)
Result:  tf.Tensor([False False False False False], shape=(5, ), dtype=bool)```

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