text: # encoding: utf-8
  # module torch._C
  # from /Users/rook/anaconda/lib/python3.6/site-packages/torch/_C.cpython-36m-darwin.so
  # by generator 1.145
  # no doc
  
  # imports
  import torch._C._functions as _functions # <module 'torch._C._functions'>
  
  from .object import object
  
  class _VariableBase(object):
      # no doc
      def __init__(self, *args, **kwargs): # real signature unknown
          pass
  
      @staticmethod # known case of __new__
      def __new__(*args, **kwargs): # real signature unknown
          """ Create and return a new object.  See help(type) for accurate signature. """
          pass
  
      data = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
      grad = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
      grad_fn = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
      is_leaf = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
      output_nr = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
      requires_grad = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
      volatile = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
      _backward_hooks = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
      _grad = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
      _grad_fn = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
      _version = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
  
  
  
  