python之TensorFlow:在可变范围内取消设置 'reuse'

有没有办法取消设置变量范围内的重用？ 我尝试了以下命令:

In [1]: import tensorflow as tf 
 
In [2]: tf.get_variable_scope().reuse 
Out[2]: False 
 
In [3]: tf.get_variable_scope().reuse_variables 
Out[3]: <bound method VariableScope.reuse_variables of <tensorflow.python.ops.variable_scope.VariableScope object at 0x7fd9cc46c4d0>> 
 
In [4]: tf.get_variable_scope().reuse_variables() 
 
In [5]: tf.get_variable_scope().reuse 
Out[5]: True 
 
In [6]: tf.get_variable_scope().reuse_variables() 
 
In [7]: tf.get_variable_scope().reuse 
Out[7]: True 
 
In [8]: tf.get_variable_scope().reuse_variables(False) 
--------------------------------------------------------------------------- 
TypeError                                 Traceback (most recent call last) 
<ipython-input-8-ba19ed12625c> in <module>() 
----> 1 tf.get_variable_scope().reuse_variables(False) 
 
TypeError: reuse_variables() takes exactly 1 argument (2 given) 
 
In [9]: tf.get_variable_scope().reuse = False 
--------------------------------------------------------------------------- 
AttributeError                            Traceback (most recent call last) 
<ipython-input-9-ddd0b37e4f0e> in <module>() 
----> 1 tf.get_variable_scope().reuse = False 
 
AttributeError: can't set attribute 
 
In [10]: tf.get_variable_scope().reuse_variables = False 
 
In [11]: tf.get_variable_scope().reuse_variables() 
--------------------------------------------------------------------------- 
TypeError                                 Traceback (most recent call last) 
<ipython-input-11-d03dc0fb25b6> in <module>() 
----> 1 tf.get_variable_scope().reuse_variables() 
 
TypeError: 'bool' object is not callable 

如您所见，我无法通过多次调用 reuse_variables 来取消设置 reuse，我无法使用 = 设置它> 运算符，出于某种原因我可以设置任何我想要的而不是 reuse_variables 函数(这是一个错误吗？)。