Python – tensorflow.math.real()

TensorFlow 是由 Google 设计的开源Python库，用于开发机器学习模型和深度学习神经网络。 real()用于查找张量的元素实部。

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’s defines the name for the operation.

Returns:
It returns a tensor of dtype float32 or float64. .

示例 1：此示例使用实张量。

Python3

# 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)

输出：

Input:  tf.Tensor([ 1.  2. -3. -4.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([ 1.  2. -3. -4.], shape=(4, ), dtype=float64)

示例 2：此示例使用复张量。

Python3

# 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)

输出：

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)