Python – tensorflow.math.reciprocal_no_nan()
Last Updated :
15 Mar, 2023
TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. reciprocal_no_nan() is used to find element wise safe reciprocal of x i.e. if x is 0 it’s reciprocal is also 0.
Syntax: tf.math.reciprocal_no_nan(x, name)
Parameter:
- x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64, int32, int64, complex64, complex128.
- name(optional): It defines the name for the operation.
Returns: It returns a tensor of dtype same as x.
Example 1: This example uses real tensor.
Python3
import tensorflow as tf
a = tf.constant([ 0 , 2 , - 3 , - 4 ], dtype = tf.float64)
print ( 'Input: ' , a)
res = tf.math.reciprocal_no_nan(a)
print ( 'Result: ' , res)
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Output:
Input: tf.Tensor([ 0. 2. -3. -4.], shape=(4, ), dtype=float64)
Result: tf.Tensor([ 0. 0.5 -0.33333333 -0.25 ], shape=(4, ), dtype=float64)
Example 2: This example uses complex tensor.
Python3
import tensorflow as tf
a = tf.constant([ 0 + 0j , 2 - 5j , - 3 + 7j , - 4 - 8j ], dtype = tf.complex128)
print ( 'Input: ' , a)
res = tf.math.reciprocal_no_nan( a)
print ( 'Result: ' , res)
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Output:
Input: tf.Tensor([ 0.+0.j 2.-5.j -3.+7.j -4.-8.j], shape=(4, ), dtype=complex128)
Result: tf.Tensor(
[ 0. +0.j 0.06896552+0.17241379j -0.05172414-0.12068966j
-0.05 +0.1j ], shape=(4, ), dtype=complex128)
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