code: def is_attention_layer(cls, module_name: str) -> bool:
      attention_patterns = [
          cls.TRANSFORMER_PREFIX + att_prefix
          for att_prefix in cls.ATTENTION
      ]
      for att_pattern in attention_patterns:
          if re.match(att_pattern, module_name) is not None:
              return True
      return False
  
imports: from __future__ import annotations
  import logging
  import re
  from typing import Tuple
  from torch.nn import Module
  from nni.compression.utils import get_nested_attr
label_desc: Use image node_id 3 for calling the HuggingfaceModelParser obj's underlying member method code with example usage: obj.is_attention_layer(cls, module_name) and returns: False, True