Python–张量流。索引策略名称属性
原文:https://www . geesforgeks . org/python-tensorflow-indexed slices-name-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。
名称用于查找索引切片的名称。这仅在紧急执行被禁用时有效。
语法:张量流。IndexedSlices.name
返回:返回索引策略的名称。
示例 1: 在此示例中，启用了紧急执行，因此会引发属性错误。
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 name
name = res.name
# Printing the result
print('Name: ', name)
输出:
data: tf.Tensor(
[[1 2 3]
[4 5 6]], shape=(2, 3), dtype=int32)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-7-f07b895be576> in <module>()
12
13 # Finding name
---> 14 name = res.name
15
16 # Printing the result
1 frames
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in name(self)
1121 def name(self):
1122 raise AttributeError(
-> 1123 "Tensor.name is meaningless when eager execution is enabled.")
1124
1125 @property
AttributeError: Tensor.name is meaningless when eager execution is enabled.
示例 2: 在此示例中，禁用了紧急执行。
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 name
name = res.name
# Printing the result
print('Name: ', name)
输出:
data: Tensor("Const_13:0", shape=(2, 3), dtype=int32)
Name: Const_13:0
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