class_docstr: Spectral convergence loss module.
class_docstr_tok: ["Spectral","convergence","loss","module","."]
code: def input_types(self):
      return {
          "x_mag": NeuralType(("B", "T", "D"), SpectrogramType()),
          "y_mag": NeuralType(("B", "T", "D"), SpectrogramType()),
      }
  
imports: import torch
  import torch.nn.functional
  from nemo.core.classes import Loss, typecheck
  from nemo.core.neural_types.elements import AudioSignal, LengthsType, LossType, SpectrogramType
  from nemo.core.neural_types.neural_type import NeuralType
label_desc: Use image node_id 1 for calling the SpectralConvergenceLoss obj's underlying member method code with example usage: obj.input_types() and returns: dict