TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. real() is used to find element wise real part of a tensor.
Syntax: tf.math.real(x, name)
Parameter:
- x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64, int32, int64, complex64, complex128.
- name(optional): It defines the name for the operation.
Returns: It returns a tensor of dtype float32 or float64. .
Example 1: This example uses real tensor.
Python3
# Importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([1, 2, -3, -4], dtype = tf.float64)# Printing the input tensorprint('Input: ', a)# Calculating resultres = tf.math.real(a)# Printing the resultprint('Result: ', res) |
Output:
Input: tf.Tensor([ 1. 2. -3. -4.], shape=(4, ), dtype=float64) Result: tf.Tensor([ 1. 2. -3. -4.], shape=(4, ), dtype=float64)
Example 2: This example uses complex tensor.
Python3
# importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([1 + 3j, 2-5j, -3 + 7j, -4-8j], dtype = tf.complex128)# Printing the input tensorprint('Input: ', a)# Calculating resultres = tf.math.real( a)# Printing the resultprint('Result: ', res) |
Output:
Input: tf.Tensor([ 1.+3.j 2.-5.j -3.+7.j -4.-8.j], shape=(4, ), dtype=complex128) Result: tf.Tensor([ 1. 2. -3. -4.], shape=(4, ), dtype=float64)
