TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
imag() is used to find the imaginary part of a tensor.
Syntax: tensorflow.math.imag( input, name)
Parameters:
- input: It is a tensor. Allowed dtypes are float, double, complex64, complex128.
- name(optional): It defines the name of the operation
Returns: It returns a tensor of dtype as x.
Example 1:
Python3
# importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([7, 8, 13, 11], dtype = tf.float64)# Printing the input tensorprint('a: ', a)# Calculating the resultres = tf.math.imag(a)# Printing the resultprint('Result: ', res) |
Output:
a: tf.Tensor([ 7. 8. 13. 11.], shape=(4, ), dtype=float64) Result: tf.Tensor([0. 0. 0. 0.], shape=(4, ), dtype=float64)
Example 2:
Python3
# Importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([2 + 4j, 8 + 7j, 14 + 5j], dtype = tf.complex128)# Printing the input tensorprint('a: ', a)# Calculating the resultres = tf.math.imag(a)# Printing the resultprint('Result: ', res) |
Output:
a: tf.Tensor([ 2.+4.j 8.+7.j 14.+5.j], shape=(3, ), dtype=complex128) Result: tf.Tensor([4. 7. 5.], shape=(3, ), dtype=float64)
