code: def _do_upsample(num_classes=1, kernel_size=2, stride=2):
      return nn.ConvTranspose2d(
          num_classes,
          num_classes,
          kernel_size=kernel_size,
          stride=stride,
      )
  
file_path: pywick/pywick/models/segmentation/resnet_gcn.py
imports: import torch.nn
  import torch.nn.init
  import torch.nn.functional
  import torchvision.models
  import numpy
label_desc: Use image node_id 3 for calling the ResnetGCN obj's underlying member method code with example usage: obj._do_upsample(num_classes, kernel_size, stride) and returns: nn