code: def propagate_alpha_feature(self, gca_score, alpha_ps):
      alpha_ps = alpha_ps[0]  # squeeze dim 0
      if self.rate == 1:
          gca_score = self.pad(gca_score, kernel_size=2, stride=1)
          alpha_ps = paddle.transpose(alpha_ps, (1, 0, 2, 3))
          out = F.conv2d(gca_score, alpha_ps) / 4.0
      else:
          out = (
              F.conv2d_transpose(
                  gca_score, alpha_ps, stride=self.rate, padding=1
              )
              / 4.0
          )
  
      return out
  
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 8 for calling the GuidedCxtAtten obj's underlying member method code with example usage: obj.propagate_alpha_feature(gca_score, alpha_ps) and returns: out