code: def __init__(self, backbone, use_conv_last: bool = False):
      super(ContextPath, self).__init__()
      self.backbone = backbone
      self.arm16 = AttentionRefinementModule(512, 128)
      inplanes = 1024
      if use_conv_last:
          inplanes = 1024
      self.arm32 = AttentionRefinementModule(inplanes, 128)
      self.conv_head32 = layers.ConvBNReLU(
          128, 128, kernel_size=3, stride=1, padding=1
      )
      self.conv_head16 = layers.ConvBNReLU(
          128, 128, kernel_size=3, stride=1, padding=1
      )
      self.conv_avg = layers.ConvBNReLU(
          inplanes, 128, kernel_size=1, stride=1, padding=0
      )
  
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
  from stdc1_seg_voc.stdcnet import STDC1
  import stdc1_seg_voc.layers
label_desc: Use image node_id 1 to create a new ContextPath object from inherited base classes: nn with example: obj = ContextPath(backbone, use_conv_last)