code: def forward(self, x, short_cuts):
      for i in range(len(short_cuts)):
          x = self.up_sample_list[i](x, short_cuts[-(i + 1)])
      return x
  
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 2 for calling the Decoder obj's underlying member method code with example usage: obj.forward(x, short_cuts) and returns: x