code: def __init__(self, in_feat, out_feat, drop_rate=0.4, bn_momentum=0.1):
      super(UpConv, self).__init__()
      self.up1 = nn.functional.interpolate
      self.downconv = DownConv(
          in_feat, out_feat, drop_rate, bn_momentum
      )
  
imports: import torch
  import torch.nn
  from torch.nn import Module
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new UpConv object from inherited base classes: Module with example: obj = UpConv(in_feat, out_feat, drop_rate, bn_momentum)