class_docstr: This is the callable object returned by :func:`make_functional`.
class_docstr_tok: ["This","is","the","callable","object","returned","by",":","func",":","`","make_functional","`","."]
code: def forward(self, params: Iterable[Tensor], *args, **kwargs) -> Any:
      # Temporarily load the state back onto self.stateless_model
      old_state = _swap_state(
          self.stateless_model, self.names_map, params
      )
      try:
          return self.stateless_model(*args, **kwargs)
      finally:
          # Remove the loaded state on self.stateless_model
          _swap_state(self.stateless_model, self.names_map, old_state)
  
imports: import copy
  from typing import Any, Callable, Dict, Iterable, List, NoReturn, Sequence, Tuple, Type, Union
  import torch
  import torch.nn
  from torch import Tensor
  from torch.nn.utils._named_member_accessor import NamedMemberAccessor
label_desc: Use image node_id 3 for calling the FunctionalModule obj's underlying member method code with example usage: obj.forward(params) and returns: self