📜  Python – tensorflow.IndexedSlices.indices 属性

📅  最后修改于: 2022-05-13 01:54:25.395000             🧑  作者: Mango

Python – tensorflow.IndexedSlices.indices 属性

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。

索引用于查找切片的索引。

示例 1:

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.IndexedSlices(data, [0])
  
# Finding Graph 
indices = res.indices
  
# Printing the result
print('Indices: ', indices)


Python3
# Importing the library
import tensorflow as tf
  
# Initializing the input
data = tf.constant([[1, 2, 3], [4, 5, 6]])
  
# Printing the input
print('data: ', data)
  
# Calculating result
res = tf.IndexedSlices(data, [0, 1])
  
# Finding Graph 
indices = res.indices
  
# Printing the result
print('Indices: ', indices)


输出:

data:  tf.Tensor([1 2 3], shape=(3, ), dtype=int32)
Indices:  [0]

示例 2:

Python3

# Importing the library
import tensorflow as tf
  
# Initializing the input
data = tf.constant([[1, 2, 3], [4, 5, 6]])
  
# Printing the input
print('data: ', data)
  
# Calculating result
res = tf.IndexedSlices(data, [0, 1])
  
# Finding Graph 
indices = res.indices
  
# Printing the result
print('Indices: ', indices)

输出:

data:  tf.Tensor(
[[1 2 3]
 [4 5 6]], shape=(2, 3), dtype=int32)
Indices:  [0, 1]