code: def add_adapter(self, name: str, cfg: dict):
      cfg = self._update_adapter_cfg_input_dim(cfg)
      for (
          conformer_layer
      ) in self.layers:  # type: adapter_mixins.AdapterModuleMixin
          conformer_layer.add_adapter(name, cfg)
  
imports: import math
  from collections import OrderedDict
  from typing import List, Optional, Set
  import torch
  import torch.distributed
  import torch.nn
  from omegaconf import DictConfig
  from nemo.collections.asr.parts.submodules.multi_head_attention import PositionalEncoding, RelPositionalEncoding
  from nemo.collections.asr.parts.submodules.squeezeformer_modules import SqueezeformerLayer
  from nemo.collections.asr.parts.submodules.subsampling import ConvSubsampling, StackingSubsampling, TimeReductionModule
  from nemo.collections.asr.parts.utils import adapter_utils
  from nemo.core.classes.common import typecheck
  from nemo.core.classes.exportable import Exportable
  from nemo.core.classes.mixins import AccessMixin, adapter_mixins
  from nemo.core.classes.module import NeuralModule
  from nemo.core.neural_types import AcousticEncodedRepresentation, LengthsType, NeuralType, SpectrogramType
label_desc: Use image node_id 1 for calling the SqueezeformerEncoderAdapter obj's underlying member method code with example usage: obj.add_adapter(name, cfg) without return types