code: def __init__(
      self,
      scale,
      pad,
      num_res_blocks,
      feat_dims,
      compute_dims,
      res_out_dims,
      use_aux_net,
  ):
      super().__init__()
      self.scale = scale
      self.pad = pad
      self.indent = pad * scale
      self.use_aux_net = use_aux_net
      self.resnet = MelResNet(
          num_res_blocks, feat_dims, compute_dims, res_out_dims, pad
      )
  
imports: import sys
  import torch
  import torch.nn
  import numpy
  import torch.nn.functional
  import time
  from TTS.utils.audio import AudioProcessor
  from TTS.vocoder.utils.distribution import sample_from_gaussian, sample_from_discretized_mix_logistic
label_desc: Use image node_id 1 to create a new Upsample object from inherited base classes: nn with example: obj = Upsample(scale, pad, num_res_blocks, feat_dims, compute_dims, res_out_dims, use_aux_net)