Python – tensorflow.IndexedSlices.op 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。

op用于查找用于产生值作为输出的操作。它只在禁止急切执行的情况下起作用。

语法: tensorflow.IndexedSlices.op

返回：它返回产生数值的操作，作为输出。

例子1：在这个例子中，急切的执行被禁用。

# Importing the library
import tensorflow as tf
  
# Disable Eager execution
tf.compat.v1.disable_eager_execution()
  
# 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 operation
op = res.op
  
# Printing the result
print('Operation: ', op)

输出:

data:  Tensor("Const:0", shape=(2, 3), dtype=int32)
Operation:  name: "Const"
op: "Const"
attr {
  key: "dtype"
  value {
    type: DT_INT32
  }
}
attr {
  key: "value"
  value {
    tensor {
      dtype: DT_INT32
      tensor_shape {
        dim {
          size: 2
        }
        dim {
          size: 3
        }
      }
      tensor_content: "\001\000\000\000\002\000\000\000\003\000\000\000\004\000\000\000\005\000\000\000\006\000\000\000"
    }
  }
}

例子2：在这个例子中，急切的执行被启用，所以它将引发AttributeError。

# 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 operation
op = res.op
  
# Printing the result
print('Operation: ', op)

输出:

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

---------------------------------------------------------------------------

AttributeError                            Traceback (most recent call last)

<ipython-input-1-8dd32836815c> in <module>()
     12 
     13 # Finding operation
---> 14 op = res.op
     15 
     16 # Printing the result

1 frames

/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in op(self)
   1111   def op(self):
   1112     raise AttributeError(
-> 1113         "Tensor.op is meaningless when eager execution is enabled.")
   1114 
   1115   @property

AttributeError: Tensor.op is meaningless when eager execution is enabled.