code: def _fill_in_default_kwargs(
      node: torch.fx.Node,
  ) -> Tuple[
      List[fx_type_utils.Argument], Dict[str, fx_type_utils.Argument]
  ]:
      """Find and Fill in the not provided kwargs with default values."""
  
      # TODO(titaiwang): aten::sym_size has overload, but fx graph is using
      # overloadpacket for some reasons.
      # https://github.com/pytorch/pytorch/issues/97201
      # We manually assigned overload for aten::sym_size.
      if hasattr(node.target, "_schema"):
          node_schema = node.target._schema  # type: ignore[union-attr]
      else:
          node_schema = torch.ops.aten.sym_size.int._schema  # type: ignore[union-attr]
  
      # This function assumes the order of arguments in FX op is the
      # same as the order of arguments in TorchScript op.
      complete_args: List[fx_type_utils.Argument] = []
      complete_kwargs: Dict[str, fx_type_utils.Argument] = {}
  
      if inspect.isbuiltin(node.target):
          complete_args = list(node.args)
      else:
          for i, expected_arg in enumerate(node_schema.arguments):
              if i < len(node.args):
                  complete_args.append(node.args[i])
              elif expected_arg.name in node.kwargs:
                  complete_kwargs[expected_arg.name] = node.kwargs[
                      expected_arg.name
                  ]
              else:
                  # Get default from schema.
                  complete_kwargs[
                      expected_arg.name
                  ] = expected_arg.default_value
  
      return complete_args, complete_kwargs
  
imports: from __future__ import annotations
  import inspect
  import logging
  import operator
  import re
  import types
  from typing import Callable, Dict, List, Optional, Sequence, Tuple, Union
  import onnxscript
  from onnxscript.function_libs.torch_lib import graph_building
  import torch
  import torch.fx
  from torch.onnx import _type_utils
  from torch.onnx._internal import _beartype
  from torch.onnx._internal.fx import _pass, diagnostics, onnxfunction_dispatcher, op_validation, type_utils
  from torch.utils import _pytree
label_desc: Use image node_id 7 for calling a global function with example usage: _fill_in_default_kwargs(node) and returns: complete_args,  complete_kwargs