Python – tensorflow.math.is_nan()
Last Updated :
19 Apr, 2023
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
is_nan() returns true if element is NaN otherwise it returns false.
Syntax: tensorflow.math.is_NaN( 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
import tensorflow as tf
import numpy as np
a = tf.constant([ 7 , 8 , 13 , 11 , np.inf], dtype = tf.float64)
print ( 'a: ' , a)
res = tf.math.is_nan(a)
print ( 'Result: ' , res)
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Output:
a: tf.Tensor([ 7. 8. 13. 11. inf], shape=(5, ), dtype=float64)
Result: tf.Tensor([False False False False False], shape=(5, ), dtype=bool)
Example 2: This example uses numpy nan.
Python3
import tensorflow as tf
import numpy as np
a = tf.constant([ 7 , 8 , 13 , 11 , np.nan], dtype = tf.float64)
print ( 'a: ' , a)
res = tf.math.is_nan(a)
print ( 'Result: ' , res)
|
Output:
a: tf.Tensor([ 7. 8. 13. 11. nan], shape=(5, ), dtype=float64)
Result: tf.Tensor([False False False False True], shape=(5, ), dtype=bool)
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