code: def __init__(self, channels):
      super(_DeconvModule, self).__init__()
      self.deconv = nn.ConvTranspose2d(
          channels, channels, kernel_size=4, stride=2, padding=1
      )
      self.deconv.weight.data = self.make_bilinear_weights(4, channels)
      self.deconv.bias.data.zero_()
  
imports: from ..None import resnext101_64x4d
  from math import floor
  import numpy
  import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new _DeconvModule object from inherited base classes: nn with example: obj = _DeconvModule(channels)