class_docstr: HiFiGAN Multi-Scale Discriminator.
  It is similar to `MultiScaleMelganDiscriminator` but specially tailored for HiFiGAN as in the paper.
code: def __init__(self):
      super().__init__()
      self.discriminators = nn.ModuleList(
          [
              DiscriminatorS(use_spectral_norm=True),
              DiscriminatorS(),
              DiscriminatorS(),
          ]
      )
      self.meanpools = nn.ModuleList(
          [nn.AvgPool1d(4, 2, padding=2), nn.AvgPool1d(4, 2, padding=2)]
      )
  
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new MultiScaleDiscriminator object from inherited base classes: torch.nn with example: obj = MultiScaleDiscriminator()