如何在默认情况下不创建新作用域的情况下重用tensorflow中的变量作用域? [英] How can you re-use a variable scope in tensorflow without a new scope being created by default?
问题描述
我在图形的一部分中创建了一个变量范围,然后在图形的另一部分中,我想将OP添加到现有的范围中.等同于以下示例:
I have created a variable scope in one part of my graph, and later in another part of the graph I want to add OPs to an existing scope. That equates to this distilled example:
import tensorflow as tf
with tf.variable_scope('myscope'):
tf.Variable(1.0, name='var1')
with tf.variable_scope('myscope', reuse=True):
tf.Variable(2.0, name='var2')
print([n.name for n in tf.get_default_graph().as_graph_def().node])
哪个产量:
['myscope/var1/initial_value',
'myscope/var1',
'myscope/var1/Assign',
'myscope/var1/read',
'myscope_1/var2/initial_value',
'myscope_1/var2',
'myscope_1/var2/Assign',
'myscope_1/var2/read']
我想要的结果是:
['myscope/var1/initial_value',
'myscope/var1',
'myscope/var1/Assign',
'myscope/var1/read',
'myscope/var2/initial_value',
'myscope/var2',
'myscope/var2/Assign',
'myscope/var2/read']
I saw this question which didn't seem to have an answer that addressed the question directly: TensorFlow, how to reuse a variable scope name
推荐答案
这是在上下文管理器中使用as
和somename
的一种简单方法.使用此somename.original_name_scope
属性,您可以检索该范围,然后向其添加更多变量.下面是一个说明:
Here is one straightforward way to do this using as
with somename
in a context manager. Using this somename.original_name_scope
property, you can retrieve that scope and then add more variables to it. Below is an illustration:
In [6]: with tf.variable_scope('myscope') as ms1:
...: tf.Variable(1.0, name='var1')
...:
...: with tf.variable_scope(ms1.original_name_scope) as ms2:
...: tf.Variable(2.0, name='var2')
...:
...: print([n.name for n in tf.get_default_graph().as_graph_def().node])
...:
['myscope/var1/initial_value',
'myscope/var1',
'myscope/var1/Assign',
'myscope/var1/read',
'myscope/var2/initial_value',
'myscope/var2',
'myscope/var2/Assign',
'myscope/var2/read']
备注
另请注意,设置reuse=True
是可选的;也就是说,即使您通过reuse=True
,您仍然会得到相同的结果.
Remark
Please also note that setting reuse=True
is optional; That is, even if you pass reuse=True
, you'd still get the same result.
另一种方法(感谢OP自己!)是在重用时在变量作用域的末尾添加/
,如下例所示:
Another way (thanks to OP himself!) is to just add /
at the end of the variable scope when reusing it as in the following example:
In [13]: with tf.variable_scope('myscope'):
...: tf.Variable(1.0, name='var1')
...:
...: # reuse variable scope by appending `/` to the target variable scope
...: with tf.variable_scope('myscope/', reuse=True):
...: tf.Variable(2.0, name='var2')
...:
...: print([n.name for n in tf.get_default_graph().as_graph_def().node])
...:
['myscope/var1/initial_value',
'myscope/var1',
'myscope/var1/Assign',
'myscope/var1/read',
'myscope/var2/initial_value',
'myscope/var2',
'myscope/var2/Assign',
'myscope/var2/read']
备注:
请注意,设置reuse=True
还是可选的;也就是说,即使您通过reuse=True
,您仍然会得到相同的结果.
Remark:
Please note that setting reuse=True
is again optional; That is, even if you pass reuse=True
, you'd still get the same result.
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