class_docstr: A Loss module that computes loss for WaveGlow
      
code: def output_types(self):
      return {
          "loss": NeuralType(elements_type=LossType()),
      }
  
file_path: NeMo/nemo/collections/tts/losses/waveglowloss.py
imports: import torch
  from nemo.core.classes import Loss, typecheck
  from nemo.core.neural_types.elements import LossType, NormalDistributionSamplesType, VoidType
  from nemo.core.neural_types.neural_type import NeuralType
label_desc: Use image node_id 2 for calling the WaveGlowLoss obj's underlying member method code with example usage: obj.output_types() and returns: dict