code: def forward(self, x: paddle.Tensor) -> paddle.Tensor:
      outs = []
      for idx, input in enumerate(x):
          conv = input
          for basic_block_func in self.basic_block_list[idx]:
              conv = basic_block_func(conv)
          outs.append(conv)
      return outs
  
imports: import math
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import ocrnet_hrnetw18_voc.layers
label_desc: Use image node_id 2 for calling the Branches obj's underlying member method code with example usage: obj.forward(x) and returns: outs