class_docstr: Merge the input kwargs into the input args.
class_docstr_tok: ["Merge","the","input","kwargs","into","the","input","args","."]
docstr: Merge the input kwargs into the input args.
  
  Args:
      model_args: The model args.
      model_kwargs: The model kwargs.
      model: The PyTorch model.
  
  Returns:
      A tuple of the model args and kwargs. kwargs is always empty.
code: def apply(
      self,
      model_args: Sequence[Any],
      model_kwargs: Mapping[str, Any],
      model: Optional[
          Union[torch.nn.Module, Callable, torch_export.ExportedProgram]
      ] = None,
  ) -> Tuple[Sequence[Any], Mapping[str, Any]]:
      """Merge the input kwargs into the input args.
  
      Args:
          model_args: The model args.
          model_kwargs: The model kwargs.
          model: The PyTorch model.
  
      Returns:
          A tuple of the model args and kwargs. kwargs is always empty.
      """
      return tuple(model_args) + tuple(model_kwargs.values()), {}
  
imports: from __future__ import annotations
  import inspect
  from typing import Any, Callable, List, Mapping, Optional, Protocol, runtime_checkable, Sequence, Tuple, Union
  import torch
  import torch.export
  from torch.onnx._internal import _beartype
  from torch.utils import _pytree
label_desc: Use image node_id 1 for calling the MergeKwargsIntoArgsInputStep obj's underlying member method code with example usage: obj.apply(model_args, model_kwargs, model) and returns: unknown,  dict