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# Python – tensorflow.math.is_finite()

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

is_finite() is used to check element wise finiteness of x.

Syntax: tensorflow.math.is_finite( 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:This example uses numpy inf and checks it finiteness.

## 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_finite(a)` `# Printing the result``print``(``'Result: '``, res)`

Output:

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

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

## 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_finite(a)` `# Printing the result``print``(``'Result: '``, res)`

Output:

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

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