Python–张量流。索引策略操作属性
原文:https://www.geesforgeks.org/python-tensorflow-indexed slices-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 用于查找产生输出值的操作。它只在紧急执行被禁用时起作用。
语法:张量流。IndexedSlices.op
返回:返回产生输出值的运算。
示例 1: 在此示例中，禁用了紧急执行。
蟒蛇 3
# 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"
}
}
}
示例 2: 在此示例中，启用了紧急执行，因此它将引发属性错误。
蟒蛇 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 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.
