Python – tensorflow.math.imag()

TensorFlow是谷歌设计的开源Python库，用于开发机器学习模型和深度学习神经网络。

imag()是用来寻找张量的虚部。

语法:
tensorflow.math.imag( input, name)

参数:

• input:它是一个张量。允许的 dtypes 是float, double, complex64, complex128。
• name（可选）:它定义了该操作的名称

返回：它返回一个 dtype 为x的张量。

示例 1:

# 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)

输出:

a: tf.Tensor([ 7. 8. 13. 11.], shape=(4, ), dtype=float64)
Result: tf.Tensor([0. 0. 0. 0.], shape=(4, ), dtype=float64)

示例 2:

# 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)

输出:

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)