code: def _may_generate_pattern_with_reshape(
      pattern, reshape_size=Arg(), with_reshape=True
  ):
      if with_reshape:
          return CallFunction(
              torch.ops.aten.reshape.default,
              pattern,
              reshape_size,
          )
      else:
          return pattern
  
imports: import copy
  import functools
  import itertools
  import math
  import operator
  from typing import Any, Tuple
  import torch
  from torch._dynamo.utils import counters
  from torch.fx.experimental.symbolic_shapes import has_free_symbols
  from ..lowering import lowerings, require_channels_last
  from ..pattern_matcher import Arg, CallFunction, filter_nodes, KeywordArg, ListOf, Match
  from ..utils import pad_listlike
  from .freezing_patterns import register_freezing_graph_pattern
  from .post_grad import register_lowering_pattern
label_desc: Use image node_id 2 for calling a global function with example usage: _may_generate_pattern_with_reshape(pattern, reshape_size, with_reshape) and returns: CallFunction, pattern