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())}
  
file_path: NeMo/nemo/collections/asr/losses/ctc.py
imports: import torch
  from torch import nn
  from nemo.core.classes import Serialization, Typing, typecheck
  from nemo.core.neural_types import LabelsType, LengthsType, LogprobsType, LossType, NeuralType
label_desc: Use image node_id 2 for calling the CTCLoss obj's underlying member method code with example usage: obj.output_types() and returns: dict