code: def normalize_stack_default(match: Match, *args, **kwargs):
      node = match.nodes[0]
      graph = match.graph
      tensors = get_arg_value(node, 0, "tensors")
      dim = get_arg_value(node, 1, "dim") or 0
      if tensors is None or dim is None:
          log.info("couldn't find stack args")
          return
      assert isinstance(tensors, (list, tuple))
  
      # A bug in pytorch, some nodes miss the example_value metadata
      for tensor in itertools.chain([node], tensors):
          if "example_value" not in tensor.meta:
              log.warning("example value absent for node: %s", tensor)
              return
  
      ndim = node.meta["example_value"].dim()
      if dim < 0:  # Normalize dim
          dim += ndim
  
      with graph.inserting_after(node):
          new_node = graph.call_function(
              node.target,
              args=(tensors,),
              kwargs={"dim": dim},
          )
      node.replace_all_uses_with(new_node)
      new_node.meta.update(node.meta)
      graph.erase_node(node)
      counters["inductor"]["split_cat_norm"] += 1
  
imports: import itertools
  import logging
  import operator
  from typing import Any, Callable, List, Optional, Sequence, Set, Tuple, Union
  from typing_extensions import TypeAlias
  import torch
  from torch._dynamo.utils import counters
  from ..pattern_matcher import Arg, CallFunction, CallFunctionVarArgs, CallMethodVarArgs, config_flag, FailedMatch, get_arg_value, Ignored, KeywordArg, ListOf, Match, MatchContext, MULTIPLE, PatternExpr, register_graph_pattern, RepeatedExpr
  from .pre_grad import merge_getitem_cat_pass, merge_splits_pass, normalization_pass, split_cat_pass, unbind_stack_pass
label_desc: Use image node_id 6 for calling a global function with example usage: normalize_stack_default(match) without return types