# Python – tensorflow.math.truediv()

• Last Updated : 16 Jun, 2020

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

truediv() is used to compute element wise x/y.

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

Parameters:

• x: It’s a tensor of numeric type.
• y: It’s a tensor of numeric type.
• name(optional): It defines the name for the operation.

Returns: It returns a tensor.

Example 1:

## Python3

 `# importing the library ` `import` `tensorflow as tf ` ` `  `# Initializing the input tensor ` `a ``=` `tf.constant([ ``-``5``, ``-``7``, ``2``, ``5``, ``7``], dtype ``=` `tf.float64) ` `b ``=` `tf.constant([ ``1``, ``3``, ``9``, ``4``, ``7``], dtype ``=` `tf.float64) ` ` `  `# Printing the input tensor ` `print``(``'a: '``, a) ` `print``(``'b: '``, b) ` ` `  `# Calculating result ` `res ``=` `tf.math.truediv(a, b) ` ` `  `# Printing the result ` `print``(``'Result: '``, res) `

Output:

```a:  tf.Tensor([-5. -7.  2.  5.  7.], shape=(5, ), dtype=float64)
b:  tf.Tensor([1. 3. 9. 4. 7.], shape=(5, ), dtype=float64)
Result:  tf.Tensor([-5.         -2.33333333  0.22222222  1.25        1.        ], shape=(5, ), dtype=float64)

```

Example 2:

## Python3

 `# importing the library ` `import` `tensorflow as tf ` `import` `numpy as np ` ` `  `# Initializing the input tensor ` `a ``=` `tf.constant([ ``-``5``, ``-``7``, ``2``, ``5``, ``7``], dtype ``=` `tf.float64) ` `b ``=` `tf.constant([ ``0``, ``3``, ``9``, ``4``, np.inf], dtype ``=` `tf.float64) ` ` `  `# Printing the input tensor ` `print``(``'a: '``, a) ` `print``(``'b: '``, b) ` ` `  `# Calculating result ` `res ``=` `tf.math.truediv(a, b) ` ` `  `# Printing the result ` `print``(``'Result: '``, res) `

Output:

```a:  tf.Tensor([-5. -7.  2.  5.  7.], shape=(5, ), dtype=float64)
b:  tf.Tensor([ 0.  3.  9.  4. inf], shape=(5, ), dtype=float64)
Result:  tf.Tensor([       -inf -2.33333333  0.22222222  1.25        0.        ], shape=(5, ), dtype=float64)
```

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