# tensorflow.math.atan2() function in Python

• Last Updated : 15 Mar, 2023

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning  neural networks. atan2() is used to find element wise arctangent of y/x.

Syntax: tf.math.atan2(y, x, name)

Parameters:

• y: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64.
• y: It’s the input tensor of same dtype as y.
• name(optional): It defines the name for the operation.

Returns:  It returns a tensor of same dtype as x.

Example 1:

## Python3

 `# importing the library``import` `tensorflow as tf` `# Initializing the input tensor``a ``=` `tf.constant([ [``-``5``, ``-``7``], [ ``2``, ``0``]], dtype ``=` `tf.float64)``b ``=` `tf.constant([ [``1``, ``3``], [``9``, ``4``]], dtype ``=` `tf.float64)` `# Printing the input tensor``print``(``'a: '``, a)``print``(``'b: '``, b)` `# Calculating result``res ``=` `tf.math.atan2(a, b)` `# Printing the result``print``(``'Result: '``, res)`

Output:

```a:  tf.Tensor(
[[-5. -7.]
[ 2.  0.]], shape=(2, 2), dtype=float64)
b:  tf.Tensor(
[[1. 3.]
[9. 4.]], shape=(2, 2), dtype=float64)
Result:  tf.Tensor(
[[-1.37340077 -1.16590454]
[ 0.21866895  0.        ]], shape=(2, 2), dtype=float64)```

Example 2:

## Python3

 `# Importing the library``import` `tensorflow as tf` `# Initializing the input tensor``a ``=` `tf.constant([ ``-``.``5``, ``-``.``3``, ``0``, .``3``, .``5``], dtype ``=` `tf.float64)``b ``=` `tf.constant([ ``1``, ``2``, ``3``, ``4``, ``5``], dtype ``=` `tf.float64)` `# Printing the input tensor``print``(``'a: '``, a)``print``(``'b: '``, b)` `# Calculating tangent``res ``=` `tf.math.atan2(a, b)` `# Printing the result``print``(``'Result: '``, res)`

Output:

a: tf.Tensor([-0.5 -0.3 0. 0.3 0.5], shape=(5, ), dtype=float64) b: tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64) Result: tf.Tensor([-0.46364761 -0.14888995 0. 0.07485985 0.09966865], shape=(5, ), dtype=float64)

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