code: def forward(self, inputs_prev, inputs):
      x = self.conv0(inputs)
      x = self.bn0(x)
      x = paddle.nn.functional.interpolate(
          x, scale_factor=2, mode="bilinear", align_corners=False
      )
      x = paddle.concat([inputs_prev, x], axis=1)
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.conv2(x)
      x = self.bn2(x)
      return x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import nn
  import numpy
  import cv2
label_desc: Use image node_id 2 for calling the Decoder obj's underlying member method code with example usage: obj.forward(inputs_prev, inputs) and returns: x