Python is_tensor_or_tensor_list示例

示例#1

文件： base.py 项目： neuroph12/CNNDDDD

 def __deepcopy__(self, memo):
   no_copy = set(['_graph'])
   shallow_copy = set(['_scope', '_always_reuse_variable_scope'])
   cls = self.__class__
   result = cls.__new__(cls)
   memo[id(self)] = result
   for k, v in self.__dict__.items():
     if k in no_copy:
       setattr(result, k, v)
     elif k in shallow_copy:
       setattr(result, k, copy.copy(v))
     elif base_layer.is_tensor_or_tensor_list(v):
       setattr(result, k, v)
     else:
       setattr(result, k, copy.deepcopy(v, memo))
   return result

示例#2

文件： base.py 项目： adit-chandra/tensorflow

 def __deepcopy__(self, memo):
   no_copy = set(['_graph'])
   shallow_copy = set(['_scope', '_always_reuse_variable_scope'])
   cls = self.__class__
   result = cls.__new__(cls)
   memo[id(self)] = result
   for k, v in self.__dict__.items():
     if k in no_copy:
       setattr(result, k, v)
     elif k in shallow_copy:
       setattr(result, k, copy.copy(v))
     elif base_layer.is_tensor_or_tensor_list(v):
       setattr(result, k, v)
     else:
       setattr(result, k, copy.deepcopy(v, memo))
   return result