tensorflow.math.atan2() function in Python
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
import tensorflow as tf
a = tf.constant([ [ - 5 , - 7 ], [ 2 , 0 ]], dtype = tf.float64)
b = tf.constant([ [ 1 , 3 ], [ 9 , 4 ]], dtype = tf.float64)
print ( 'a: ' , a)
print ( 'b: ' , b)
res = tf.math.atan2(a, b)
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
import tensorflow as tf
a = tf.constant([ - . 5 , - . 3 , 0 , . 3 , . 5 ], dtype = tf.float64)
b = tf.constant([ 1 , 2 , 3 , 4 , 5 ], dtype = tf.float64)
print ( 'a: ' , a)
print ( 'b: ' , b)
res = tf.math.atan2(a, b)
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)
Last Updated :
15 Mar, 2023
Like Article
Save Article
Share your thoughts in the comments
Please Login to comment...