Python – tensorflow.identity_n()

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。

identity_n()用于获取与输入张量具有相同形状和内容的张量列表。

Syntax: tensorflow.identity_n( input, name)

Parameters:

• input:  It is a Tensor.
• name(optional):  It defines the name for the operation.

Returns:  It returns a list of Tensors with same shape and content as input. 

示例 1：

Python3

# Importing the library
import tensorflow as tf
  
# Initializing the input
data = tf.constant([[1, 2, 3], [3, 4, 5], [5, 6, 7]])
  
# Printing the input
print('data: ', data)
  
# Calculating result
res = tf.identity_n(data)
  
# Printing the result
print('res: ', res)

输出：

data:  tf.Tensor(
[[1 2 3]
 [3 4 5]
 [5 6 7]], shape=(3, 3), dtype=int32)
res:  [,
     , 
     ]

示例 2：

Python3

# Importing the library
import tensorflow as tf
  
# Initializing the input
data = tf.constant([1, 2, 3])
  
# Printing the input
print('data: ', data)
  
# Calculating result
res = tf.identity_n(data)
  
# Printing the result
print('res: ', res)

输出：

data:  tf.Tensor([1 2 3], shape=(3, ), dtype=int32)
res:  [,
     , 
     ]