Python - tensorflow.math.floordiv()

Python – tensorflow.math.floormod()

Last Updated : 18 Jan, 2022

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

floormod() is used to compute element wise remainder of division of x by y.

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

Parameters:

x: It is a tensor. Allowed dtypes are int32, int64, bfloat16, half, float32, float64.

y: It is a tensor of same dtype as x.

name(optional): It defines the name of the operation

Returns: It returns a tensor.

Example 1:

Python3

# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
b = tf.constant([2, 3, 4, 5],  dtype = tf.float64)
 
# Printing the input tensor
print('a: ', a)
print('b: ', b)
 
# Using floormod
res = tf.math.floormod(x = a, y = b)
 
# Printing the result
print('Result: ', res)

Output:

a:  tf.Tensor([ 7.  8. 13. 11.], shape=(4, ), dtype=float64)
b:  tf.Tensor([2. 3. 4. 5.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([1. 2. 1. 1.], shape=(4, ), dtype=float64)

Example 2: In this example one of the value in second tensor is taken 0.

Python3

# Importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
b = tf.constant([2, 3, 4, 0],  dtype = tf.float64)
 
# Printing the input tensor
print('a: ', a)
print('b: ', b)
 
# Calculating result
res = tf.math.floormod(x = a, y = b)
 
# Printing the result
print('Result: ', res)

Output:

a:  tf.Tensor([ 7.  8. 13. 11.], shape=(4, ), dtype=float64)
b:  tf.Tensor([2. 3. 4. 0.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([ 1.  2.  1. nan], shape=(4, ), dtype=float64)

Python - tensorflow.math.floordiv()

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