Python | tensorflow.math.angle() method
TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks.
angle() is method in tensorflow math module. This method is used to find the element wise argument of a tensor. By default all elements are considered as complex number (a+bi). In case of real number complex part (b) is considered as zero. atan2(b,a) is the argument calculated by this function.
Syntax:
tensorflow.math.angle(
input, name
)
Argument:
1. input: It is a tensor. Allowed dtype for this tensor are float, double, complex64, complex128.
2. name: It is an optional argument that defines the name for the operation.
Return:
It returns a tensor of type float32 or float64.
Example 1:
Python3
# importing the libraryimport tensorflow as tf# initializing the constant tensora = tf.constant([-1.5 + 7.8j, 3 + 5.75j], dtype=tf.complex64)# calculating the argumentsb = tf.math.angle(a)# printing the argument tensorprint('Tensor: ',b) |
Output:
Tensor: tf.Tensor([1.7607845 1.0899091], shape=(2,), dtype=float32)
Example 2:
In case of real numbers calculated argument is always zero.
Python3
# importing the libraryimport tensorflow as tf# initializing the constant tensora = tf.constant([-1.5, 3 ], dtype=tf.float64)# calculating the argumentsb = tf.math.angle(a)# printing the argument tensorprint('Tensor: ',b) |
Output:
Tensor: tf.Tensor([0. 0.], shape=(2,), dtype=float64)
