code: def forward(self, x: paddle.Tensor) -> paddle.Tensor:
      outs = []
      for idx, conv_bn_func in enumerate(self.conv_bn_func_list):
          if conv_bn_func is None:
              outs.append(x[idx])
          else:
              if idx < len(x):
                  outs.append(conv_bn_func(x[idx]))
              else:
                  outs.append(conv_bn_func(x[-1]))
      return outs
  
imports: import math
  from typing import List
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import fcn_hrnetw48_cityscapes.layers
label_desc: Use image node_id 2 for calling the TransitionLayer obj's underlying member method code with example usage: obj.forward(x) and returns: outs