Python–张量流。索引策略.索引属性
原文:https://www . geesforgeks . org/python-tensorflow-indexed slices-indexes-attribute/
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。
索引用于查找切片的索引。
语法:张量流。IndexedSlices.indices
返回:返回包含切片索引的一维张量。
例 1:
Python 3
# 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)
输出:
data: tf.Tensor([1 2 3], shape=(3, ), dtype=int32)
Indices: [0]
例 2:
Python 3
# 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]
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