Python - tensorflow.math.atan()

Python - tensorflow.math.imag()

Last Updated : 18 Jan, 2022

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 library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)

# Printing the input tensor
print('a: ', a)

# Calculating the result
res = tf.math.imag(a)

# Printing the result
print('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 library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([2 + 4j, 8 + 7j, 14 + 5j], dtype = tf.complex128)

# Printing the input tensor
print('a: ', a)

# Calculating the result
res = tf.math.imag(a)

# Printing the result
print('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)

Python - tensorflow.math.atan()

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