code: def _build_net(self) -> List[paddle.static.Variable]:
      # ClassifyReader will return the seqence length of an input text
      self.seq_len = paddle.static.data(
          name="seq_len", shape=[1], dtype="int64", lod_level=0
      )
      return [self.pooled_feature, self.seq_feature]
  
file_path: PaddleHub/paddlehub/compat/task/transformer_emb_task.py
imports: from typing import Generic, List
  import paddle
  import numpy
  from paddlehub.compat.task.config import RunConfig
  from paddlehub.compat.task.base_task import BaseTask
  from paddlehub.compat.task.task_utils import RunState
label_desc: Use image node_id 2 for calling the TransformerEmbeddingTask obj's underlying member method code with example usage: obj._build_net() and returns: list