code: def _create_variables(self, device=None, dtype=None):
      # Create variables stored in the `__dict__` that were set
      # using direct `__setattr__` e.g. self.weight = ...
      v = ivy.Container(
          OrderedDict(
              [
                  (k.replace(".", "/"), v)
                  for k, v in self.__dict__.items()
                  if isinstance(v, Parameter)
              ]
          ),
          dynamic_backend=self._dynamic_backend,
      )
      # Created variables that were added using `register_paramter`,
      # since those would appear in `self._v`
      v = (
          ivy.Container(
              OrderedDict(
                  (
                      {
                          _k.replace(".", "/"): _v
                          for (_k, _v) in self._v.items()
                          if _k.replace(".", "/") not in v
                          and not isinstance(_v, ivy.Container)
                      }
                  ),
                  **v,
              )
          )
          if self._v
          else v
      )
      return v
  
imports: import ivy
  from collections import OrderedDict
  from typing import Any, Dict, Iterator, List, Optional, Set, Tuple
  from ivy.functional.frontends.torch.nn.parameter import Parameter
  from ivy.functional.frontends.torch.tensor import Tensor
label_desc: Use image node_id 2 for calling the Module obj's underlying member method code with example usage: obj._create_variables(device, dtype) and returns: v