Python – tensorflow.math.xdivy()

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

xdivy() is used to compute element wise x/y. It returns 0 if x==0.

Syntax: tensorflow.math.xdivy(x, y, name)

Parameters:

• x: It’s a tensor. Allowed dtypes are half, float32, float64, complex64, complex128.
• y: It’s a tensor of same dtype as x.
• name(optional): It defines the name for the operation.

Returns: It returns a tensor.

Example 1:

Python3

# importing the library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([ -5, -7, 2, 0, 7], dtype = tf.float64)
b = tf.constant([ 1, 3, 9, 4, 7], dtype = tf.float64)

# Printing the input tensor
print('a: ', a)
print('b: ', b)

# Calculating result
res = tf.math.xdivy(a, b)

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

Output:

a:  tf.Tensor([-5. -7.  2.  0.  7.], shape=(5, ), dtype=float64)
b:  tf.Tensor([1. 3. 9. 4. 7.], shape=(5, ), dtype=float64)
Result:  tf.Tensor([-5.         -2.33333333  0.22222222  0.          1.        ], shape=(5, ), dtype=float64)

Example 2:

Python3

# importing the library
import tensorflow as tf
import numpy as np

# Initializing the input tensor
a = tf.constant([ -5, -7, 2, 5, 7], dtype = tf.float64)
b = tf.constant([ 0, 3, 9, 4, np.inf], dtype = tf.float64)

# Printing the input tensor
print('a: ', a)
print('b: ', b)

# Calculating result
res = tf.math.xdivy(a, b)

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

Output:

a:  tf.Tensor([-5. -7.  2.  5.  7.], shape=(5, ), dtype=float64)
b:  tf.Tensor([ 0.  3.  9.  4. inf], shape=(5, ), dtype=float64)
Result:  tf.Tensor([       -inf -2.33333333  0.22222222  1.25        0.        ], shape=(5, ), dtype=float64)