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Python – tensorflow.math.truediv()

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  • Last Updated : 16 Jun, 2020
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TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks.

truediv() is used to compute element wise x/y.

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

Parameters:

  • x: It’s a tensor of numeric type.
  • y: It’s a tensor of numeric type.
  • 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, 5, 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.truediv(a, b)
  
# Printing the result
print('Result: ', res)


Output:

a:  tf.Tensor([-5. -7.  2.  5.  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  1.25        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.truediv(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)

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