code: def compute_similarity_map(self, img_feat, img_ps):
      img_ps = img_ps[0]  # squeeze dim 0
      # convolve the feature to get correlation (similarity) map
      img_ps_normed = img_ps / paddle.clip(self.l2_norm(img_ps), 1e-4)
      img_feat = F.pad(img_feat, (1, 1, 1, 1), mode="reflect")
      similarity_map = F.conv2d(img_feat, img_ps_normed)
  
      return similarity_map
  
file_path: PaddleSeg/Matting/ppmatting/models/layers/gca_module.py
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import param_init
label_desc: Use image node_id 9 for calling the GuidedCxtAtten obj's underlying member method code with example usage: obj.compute_similarity_map(img_feat, img_ps) and returns: similarity_map