code: def group_matcher(self, coarse=False):
      matcher = dict(
          stem=r"^patch_embed",
          blocks=r"^stages\.(\d+)"
          if coarse
          else [
              (r"^stages\.(\d+).downsample", (0,)),
              (r"^stages\.(\d+)\.\w+\.(\d+)", None),
          ],
      )
      return matcher
  
imports: import itertools
  from collections import OrderedDict
  from typing import Dict
  import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import SqueezeExcite, SelectAdaptivePool2d, trunc_normal_, _assert
  from ._builder import build_model_with_cfg
  from ._manipulate import checkpoint_seq
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 3 for calling the EfficientVitMsra obj's underlying member method code with example usage: obj.group_matcher(coarse) and returns: matcher