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 libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([ [-5, -7], [ 2, 0]], dtype = tf.float64)b = tf.constant([ [1, 3], [9, 4]], dtype = tf.float64)# Printing the input tensorprint('a: ', a)print('b: ', b)# Calculating resultres = tf.math.atan2(a, b)# Printing the resultprint('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 libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([ -.5, -.3, 0, .3, .5], dtype = tf.float64)b = tf.constant([ 1, 2, 3, 4, 5], dtype = tf.float64)# Printing the input tensorprint('a: ', a)print('b: ', b)# Calculating tangentres = tf.math.atan2(a, b)# Printing the resultprint('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)
