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:
# 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.
# 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)