class_docstr: Discriminator Loss module
class_docstr_tok: ["Discriminator","Loss","module"]
code: def input_types(self):
      return {
          "disc_real_outputs": [NeuralType(("B", "T"), VoidType())],
          "disc_generated_outputs": [
              NeuralType(("B", "T"), VoidType())
          ],
      }
  
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 1 for calling the DiscriminatorLoss obj's underlying member method code with example usage: obj.input_types() and returns: dict