class_docstr: VITS Feature Matching Loss module
class_docstr_tok: ["VITS","Feature","Matching","Loss","module"]
code: def input_types(self):
      return {
          "fmap_r": [[NeuralType(elements_type=VoidType())]],
          "fmap_g": [[NeuralType(elements_type=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 FeatureMatchingLoss obj's underlying member method code with example usage: obj.input_types() and returns: dict