code: def __init__(self, debug=False):
      super().__init__()
      self.discriminators = nn.ModuleList(
          [
              DiscriminatorP(2, debug=debug),
              DiscriminatorP(3, debug=debug),
              DiscriminatorP(5, debug=debug),
              DiscriminatorP(7, debug=debug),
              DiscriminatorP(11, debug=debug),
          ]
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import AvgPool1d, Conv1d, Conv2d, ConvTranspose1d
  from torch.nn.utils import remove_weight_norm, spectral_norm, weight_norm
  from nemo.core.classes.common import typecheck
  from nemo.core.classes.module import NeuralModule
  from nemo.core.neural_types.elements import AudioSignal, MelSpectrogramType, VoidType
  from nemo.core.neural_types.neural_type import NeuralType
label_desc: Use image node_id 1 to create a new MultiPeriodDiscriminator object from inherited base classes: NeuralModule with example: obj = MultiPeriodDiscriminator(debug)