code: def __init__(self, in_channels, out_channels, scale_factor):
      super(ConvUp2D, self).__init__(
          nn.Conv2D(in_channels, out_channels, 3, padding=1),
          nn.Upsample(scale_factor=scale_factor, mode="bilinear"),
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models.layers.layer_libs import SyncBatchNorm
  from paddleseg.cvlibs.param_init import kaiming_normal_init
label_desc: Use image node_id 1 to create a new ConvUp2D object from inherited base classes: nn with example: obj = ConvUp2D(in_channels, out_channels, scale_factor)