Python – tensorflow.constant_initializer()

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。

constant_initializer()是生成具有常量值的张量的初始化程序。

Syntax: tensorflow.constant_initializer( value )

Parameters:

• value: It is the value that needed to be converted to Tensor. It can be Python scalar, list or tuple of values, or a N-dimensional numpy array

Returns: It returns an Initializer instance.

示例 1：来自Python列表

Python3

# Importing the library
import tensorflow as tf
  
# Initializing the input
l = [1, 2, 3, 4]
  
# Printing the input
print('l: ', l)
  
# Calculating result
x = tf.constant_initializer(l)
  
  
# Printing the result
print('x: ', x)

输出：

l:  [1, 2, 3, 4]
x:  tensorflow.python.ops.init_ops_v2.Constant object at 0x7fa7f2e1ab00

示例 2：来自Python元组

Python3

# Importing the library
import tensorflow as tf
  
# Initializing the input
l = (1, 2, 3, 4)
  
# Printing the input
print('l: ', l)
  
# Calculating result
x = tf.constant_initializer(l )
  
# Printing the result
print('x: ', x)

输出：

l:  (1, 2, 3, 4)
x:  tensorflow.python.ops.init_ops_v2.Constant object at 0x7fa7f2e1ab00