Python tensorflow.IndexedSlices.name属性用法及代码示例

TensorFlow是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。

名称用于查找索引切片的名称。这仅在禁用急切执行时有效。

用法：tensorflow.IndexedSlices.name

范例1：在此示例中，启用了急切执行，因此将引发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.

范例2：在此示例中，急切执行被禁用。

# 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