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
import tensorflow as tf
a = tf.constant([ 7 , 8 , 13 , 11 ], dtype = tf.float64)
b = tf.constant([ 2 , 3 , 4 , 5 ], dtype = tf.float64)
print ( 'a: ' , a)
print ( 'b: ' , b)
res = tf.math.floormod(x = a, y = b)
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
import tensorflow as tf
a = tf.constant([ 7 , 8 , 13 , 11 ], dtype = tf.float64)
b = tf.constant([ 2 , 3 , 4 , 0 ], dtype = tf.float64)
print ( 'a: ' , a)
print ( 'b: ' , b)
res = tf.math.floormod(x = a, y = b)
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)
Like Article
Suggest improvement
Share your thoughts in the comments
Please Login to comment...