code: def __init__(self, in_channels, out_channels):
      super(DeconvBN, self).__init__()
      self.layer = nn.Sequential(
          nn.ConvTranspose2d(
              in_channels, out_channels, kernel_size=2, stride=2
          )
      )
  
imports: import torch.nn
  import torch.nn.init
  import torch.nn.functional
  import numpy
label_desc: Use image node_id 1 to create a new DeconvBN object from inherited base classes: nn with example: obj = DeconvBN(in_channels, out_channels)