class_docstr: NASNetALarge (6 @ 4032) 
class_docstr_tok: ["NASNetALarge","(","6","@","4032",")"]
code: def group_matcher(self, coarse=False):
      matcher = dict(
          stem=r"^conv0|cell_stem_[01]",
          blocks=[
              (r"^cell_(\d+)", None),
              (r"^reduction_cell_0", (6,)),
              (r"^reduction_cell_1", (12,)),
          ],
      )
      return matcher
  
imports: from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.layers import ConvNormAct, create_conv2d, create_pool2d, create_classifier
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 2 for calling the NASNetALarge obj's underlying member method code with example usage: obj.group_matcher(coarse) and returns: matcher