code: def compute_pre_stage_features(self, x, additional_features):
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.relu(x)
      if additional_features is not None:
          x = x + additional_features
      x = self.conv2(x)
      x = self.bn2(x)
      return self.relu(x)
  
imports: import os
  import torch
  import torch._utils
  import numpy
  import torch.nn
  import torch.nn.functional
  from cftool.misc import print_info
  from .ocr import SpatialOCR_Module
  from .ocr import SpatialGather_Module
  from .resnetv1b import BottleneckV1b
  from .resnetv1b import BasicBlockV1b
label_desc: Use image node_id 7 for calling the HighResolutionNet obj's underlying member method code with example usage: obj.compute_pre_stage_features(x, additional_features) and returns: self