code: def compute_weight(self, module, do_power_iteration):
      weight = getattr(module, self.name + "_orig")
      u = getattr(module, self.name + "_u")
      v = getattr(module, self.name + "_v")
      weight_mat = self.reshape_weight_to_matrix(weight)
  
      if do_power_iteration:
          with paddle.no_grad():
              for _ in range(self.n_power_iterations):
                  v.set_value(
                      F.normalize(
                          paddle.matmul(
                              weight_mat,
                              u,
                              transpose_x=True,
                              transpose_y=False,
                          ),
                          axis=0,
                          epsilon=self.eps,
                      )
                  )
  
                  u.set_value(
                      F.normalize(
                          paddle.matmul(weight_mat, v),
                          axis=0,
                          epsilon=self.eps,
                      )
                  )
              if self.n_power_iterations > 0:
                  u = u.clone()
                  v = v.clone()
  
      sigma = paddle.dot(u, paddle.mv(weight_mat, v))
      weight = weight / sigma
      return weight
  
file_path: PaddleOCR/StyleText/arch/spectral_norm.py
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 3 for calling the SpectralNorm obj's underlying member method code with example usage: obj.compute_weight(module, do_power_iteration) and returns: weight