Python – tensorflow.IndexedSlices.name 属性

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。

name用于查找索引片的名称。这只有在禁止急切执行的情况下才有效。

语法:
tensorflow.IndexedSlices.name

返回：它返回 IndexedSlices 的名称。

例子1：
在这个例子中，急切的执行被启用，所以它将引发 AttribbuteError 。

# 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.

例子2：
在这个例子中，急切的执行被禁用。

# 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