code: def orth_embedding(self, embeddings, eps=1e-18):
      assert embeddings.shape[1] == self.num_elem
      assert embeddings.shape[2] == (
          self.num_elem + int(self.use_scale)
      )
      if self.use_scale:
          emb_scale = embeddings[:, :, -1]
          embeddings = embeddings[:, :, : self.num_elem]
  
      u = [embeddings[:, 0]]
      uu = [0] * self.num_elem
      uu[0] = (u[0] * u[0]).sum(axis=-1)
      u_d = embeddings[:, 1:]
      for i in range(1, self.num_elem):
          tmp = (embeddings[:, i:] * u[i - 1].unsqueeze(axis=1)).sum(
              axis=-1
          )
          tmp = (tmp / uu[i - 1].unsqueeze(axis=1)).unsqueeze(axis=-1)
          u_d = u_d - u[-1].unsqueeze(axis=1) * tmp
          u_i = u_d[:, 0]
          if u_d.shape[1] > 1:
              u_d = u_d[:, 1:]
          uu[i] = (u_i * u_i).sum(axis=-1)
          u.append(u_i)
      u = paddle.stack(u, axis=1)
      u = u / u.norm(axis=-1, keepdim=True, p=2)
      if self.use_scale:
          u = paddle.concat([u, emb_scale.unsqueeze(-1)], axis=-1)
      return u
  
imports: import numpy
  import paddle
label_desc: Use image node_id 4 for calling the OrthOTE obj's underlying member method code with example usage: obj.orth_embedding(embeddings, eps) and returns: u