docstr: Output types definitions for CTCLoss.
  loss:
      NeuralType(None)
docstr_tok: ["Output","types","definitions","for","CTCLoss",".","loss",":","NeuralType","(","None",")"]
code: def output_types(self):
      """Output types definitions for CTCLoss.
      loss:
          NeuralType(None)
      """
      return {"loss": NeuralType(elements_type=LossType())}
  
imports: import inspect
  import operator
  from dataclasses import dataclass
  from typing import Any, Callable, Dict, List, Optional, Set
  import torch
  from omegaconf import DictConfig, OmegaConf
  from nemo.collections.asr.losses.rnnt_pytorch import MultiblankRNNTLossPytorch, RNNTLossPytorch, TDTLossPytorch
  from nemo.core.classes import Loss, typecheck
  from nemo.core.neural_types import LabelsType, LengthsType, LogprobsType, LossType, NeuralType
  from nemo.core.utils import numba_utils
  from nemo.core.utils.k2_utils import K2_INSTALLATION_MESSAGE
  from nemo.core.utils.numba_utils import NUMBA_INSTALLATION_MESSAGE
  from nemo.utils import logging, logging_mode, model_utils
label_desc: Use image node_id 2 for calling the RNNTLoss obj's underlying member method code with example usage: obj.output_types() and returns: dict