code: def remove_split_with_size_one(
      graph: torch.fx.Graph,
      node: torch.fx.Node,
      input: torch.fx.Node,
  ):
      # find the grand children of the split_node
      next_users = find_next_users(node)
      user = next(iter(node.users.keys()))
      # replace the users of grand child node with the input node
      for next_user in next_users:
          next_user.replace_input_with(user, input)
      # erase the split node and its child
      graph.erase_node(user)
      graph.erase_node(node)
  
      counters["inductor"]["remove_split_with_size_one"] += 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 2 for calling a global function with example usage: remove_split_with_size_one(graph, node, input) without return types