# Python – tensorflow.math.floordiv()

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

floordiv() is used to compute element wise division of x by y and rounding of the result towards most negative integer.

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

Parameters:

• x: It is a tensor having real numeric values.
• y: It is a tensor having real numeric values.
• 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) ` ` `  `# Calculating style division ` `res ``=` `tf.math.floordiv(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([3. 2. 3. 2.], 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 style division ` `res ``=` `tf.math.floordiv(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([ 3.  2.  3. inf], shape=(4, ), dtype=float64)```

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