class_docstr: Base class for hybrid RNNT/CTC models.
code: def list_export_subnets(self):
      if self.cur_decoder == "rnnt":
          return ["encoder", "decoder_joint"]
      else:
          return ["self"]
  
imports: import copy
  import json
  import os
  import tempfile
  from typing import List, Optional
  import torch
  from omegaconf import DictConfig, OmegaConf, open_dict
  from pytorch_lightning import Trainer
  from tqdm.auto import tqdm
  from nemo.collections.asr.data.audio_to_text_dali import DALIOutputs
  from nemo.collections.asr.losses.ctc import CTCLoss
  from nemo.collections.asr.metrics.wer import WER
  from nemo.collections.asr.models.rnnt_models import EncDecRNNTModel
  from nemo.collections.asr.parts.mixins import ASRBPEMixin, InterCTCMixin
  from nemo.collections.asr.parts.submodules.ctc_decoding import CTCDecoding, CTCDecodingConfig
  from nemo.collections.asr.parts.utils.audio_utils import ChannelSelectorType
  from nemo.core.classes.common import PretrainedModelInfo
  from nemo.core.classes.mixins import AccessMixin
  from nemo.utils import logging, model_utils
label_desc: Use image node_id 12 for calling the EncDecHybridRNNTCTCModel obj's underlying member method code with example usage: obj.list_export_subnets() and returns: list, list