code: def compute_guided_attention_score(
      self, similarity_map, unknown_ps, scale, self_mask
  ):
      # scale the correlation with predicted scale factor for known and
      # unknown area
      unknown_scale, known_scale = scale[0]
      out = similarity_map * (
          unknown_scale
          * paddle.greater_than(unknown_ps, paddle.to_tensor([0.0]))
          + known_scale
          * paddle.less_equal(unknown_ps, paddle.to_tensor([0.0]))
      )
      # mask itself, self-mask only applied to unknown area
      out = out + self_mask * unknown_ps
      gca_score = F.softmax(out, axis=1)
  
      return gca_score
  
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 7 for calling the GuidedCxtAtten obj's underlying member method code with example usage: obj.compute_guided_attention_score(similarity_map, unknown_ps, scale, _mask) and returns: gca_score