class_docstr: Aggregate the global object representation to update the representation for each pixel.
code: def forward(
      self, pixels: paddle.Tensor, regions: paddle.Tensor
  ) -> paddle.Tensor:
      context = self.attention_block(pixels, regions)
      feats = paddle.concat([context, pixels], axis=1)
      feats = self.conv1x1(feats)
  
      return feats
  
imports: import os
  from typing import List
  import paddle
  import numpy
  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 ocrnet_hrnetw18_voc.layers
  from ocrnet_hrnetw18_voc.hrnet import HRNet_W18
label_desc: Use image node_id 2 for calling the SpatialOCRModule obj's underlying member method code with example usage: obj.forward(pixels, regions) and returns: feats