code: def __init__(self, align_corners, use_deconv=False):
      super().__init__()
  
      up_channels = [[512, 256], [256, 128], [128, 64], [64, 64]]
      self.up_sample_list = nn.LayerList(
          [
              UpSampling(
                  channel[0], channel[1], align_corners, use_deconv
              )
              for channel in up_channels
          ]
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg import utils
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
label_desc: Use image node_id 1 to create a new Decoder object from inherited base classes: nn with example: obj = Decoder(align_corners, use_deconv)