code: def __init__(
      self, *args, device=None, devices=None, **kwargs
  ) -> None:
      super().__init__(
          self,
          *args,
          device=device,
          devices=devices,
          training=True,
          build_mode="explicit",
          dynamic_backend=True,
          **kwargs,
      )
      super().__setattr__("_frontend_module", True)
      super().__setattr__(
          "_attr_mapping",
          {"_parameters": "v", "_modules": "module_dict"},
      )
  
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 1 to create a new Module object from inherited base classes: ivy with example: obj = Module()