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# Python – tensorflow.math.floormod()

• Last Updated : 26 Aug, 2020

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 libraray``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)```

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