class_docstr: The detail branch of BiSeNet, which has wide channels but shallow layers.
class_docstr_tok: ["The","detail","branch","of","BiSeNet",",","which","has","wide","channels","but","shallow","layers","."]
code: def forward(self, x: paddle.Tensor) -> paddle.Tensor:
      return self.convs(x)
  
imports: import os
  from typing import Union, List, Tuple
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddlehub.module.module import moduleinfo
  import paddlehub.vision.segmentation_transforms
  from paddlehub.module.cv_module import ImageSegmentationModule
  import bisenet_cityscapes.layers
label_desc: Use image node_id 2 for calling the DetailBranch obj's underlying member method code with example usage: obj.forward(x) and returns: self