Python - tensorflow.math.real()

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.

# Importing the library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([1, 2, -3, -4], dtype = tf.float64)

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

# Calculating result
res = tf.math.real(a)

# Printing the result
print('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.

# importing the library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([1 + 3j, 2-5j, -3 + 7j, -4-8j], dtype = tf.complex128)

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

# Calculating result
res = tf.math.real( a)

# Printing the result
print('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)