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 libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([7, 8, 13, 11], dtype = tf.float64)b = tf.constant([2, 3, 4, 5], dtype = tf.float64)# Printing the input tensorprint('a: ', a)print('b: ', b)# Using floormodres = tf.math.floormod(x = a, y = b)# Printing the resultprint('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 libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([7, 8, 13, 11], dtype = tf.float64)b = tf.constant([2, 3, 4, 0], dtype = tf.float64)# Printing the input tensorprint('a: ', a)print('b: ', b)# Calculating resultres = tf.math.floormod(x = a, y = b)# Printing the resultprint('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)
