code: def forward(self, inputs):
      h1, h2, h3, h4, hd5 = inputs
      h1_PT_hd4 = self.h1_PT_hd4_cbr(self.h1_PT_hd4(h1))
      h2_PT_hd4 = self.h2_PT_hd4_cbr(self.h2_PT_hd4(h2))
      h3_PT_hd4 = self.h3_PT_hd4_cbr(self.h3_PT_hd4(h3))
      h4_Cat_hd4 = self.h4_Cat_hd4_cbr(h4)
      hd5_UT_hd4 = self.hd5_UT_hd4_cbr(self.hd5_UT_hd4(hd5))
      # hd4->40*40*up_channels
      hd4 = self.cbr4d_1(
          paddle.concat(
              [h1_PT_hd4, h2_PT_hd4, h3_PT_hd4, h4_Cat_hd4, hd5_UT_hd4],
              1,
          )
      )
      h1_PT_hd3 = self.h1_PT_hd3_cbr(self.h1_PT_hd3(h1))
      h2_PT_hd3 = self.h2_PT_hd3_cbr(self.h2_PT_hd3(h2))
      h3_Cat_hd3 = self.h3_Cat_hd3_cbr(h3)
      hd4_UT_hd3 = self.hd4_UT_hd3_cbr(self.hd4_UT_hd3(hd4))
      hd5_UT_hd3 = self.hd5_UT_hd3_cbr(self.hd5_UT_hd3(hd5))
      # hd3->80*80*up_channels
      hd3 = self.cbr3d_1(
          paddle.concat(
              [
                  h1_PT_hd3,
                  h2_PT_hd3,
                  h3_Cat_hd3,
                  hd4_UT_hd3,
                  hd5_UT_hd3,
              ],
              1,
          )
      )
      h1_PT_hd2 = self.h1_PT_hd2_cbr(self.h1_PT_hd2(h1))
      h2_Cat_hd2 = self.h2_Cat_hd2_cbr(h2)
      hd3_UT_hd2 = self.hd3_UT_hd2_cbr(self.hd3_UT_hd2(hd3))
      hd4_UT_hd2 = self.hd4_UT_hd2_cbr(self.hd4_UT_hd2(hd4))
      hd5_UT_hd2 = self.hd5_UT_hd2_cbr(self.hd5_UT_hd2(hd5))
      # hd2->160*160*up_channels
      hd2 = self.cbr2d_1(
          paddle.concat(
              [
                  h1_PT_hd2,
                  h2_Cat_hd2,
                  hd3_UT_hd2,
                  hd4_UT_hd2,
                  hd5_UT_hd2,
              ],
              1,
          )
      )
      h1_Cat_hd1 = self.h1_Cat_hd1_cbr(h1)
      hd2_UT_hd1 = self.hd2_UT_hd1_cbr(self.hd2_UT_hd1(hd2))
      hd3_UT_hd1 = self.hd3_UT_hd1_cbr(self.hd3_UT_hd1(hd3))
      hd4_UT_hd1 = self.hd4_UT_hd1_cbr(self.hd4_UT_hd1(hd4))
      hd5_UT_hd1 = self.hd5_UT_hd1_cbr(self.hd5_UT_hd1(hd5))
      # hd1->320*320*up_channels
      hd1 = self.cbr1d_1(
          paddle.concat(
              [
                  h1_Cat_hd1,
                  hd2_UT_hd1,
                  hd3_UT_hd1,
                  hd4_UT_hd1,
                  hd5_UT_hd1,
              ],
              1,
          )
      )
      return [hd1, hd2, hd3, hd4, hd5]
  
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 2 for calling the Decoder obj's underlying member method code with example usage: obj.forward(inputs) and returns: list