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# 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)```

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