class_docstr: Discriminator Loss module
class_docstr_tok: ["Discriminator","Loss","module"]
code: def output_types(self):
      return {
          "loss": NeuralType(elements_type=LossType()),
          "real_losses": [NeuralType(elements_type=LossType())],
          "fake_losses": [NeuralType(elements_type=LossType())],
      }
  
imports: import torch
  from nemo.core.classes import Loss, typecheck
  from nemo.core.neural_types.elements import LossType, VoidType
  from nemo.core.neural_types.neural_type import NeuralType
label_desc: Use image node_id 2 for calling the DiscriminatorLoss obj's underlying member method code with example usage: obj.output_types() and returns: dict