code: def test_case1(self):
      # 测试能否正常运行CNN
      init_emb = (VOCAB_SIZE, 30)
      model = SeqLabeling(init_emb, hidden_size=30, num_classes=NUM_CLS)
  
      dl = RUNNER.prepare_pos_tagging_data()
      metric = Accuracy()
      RUNNER.run_model(model, dl, metric)
  
file_path: fastNLP/tests/models/torch/test_sequence_labeling.py
imports: import pytest
  from .model_runner import *
  from fastNLP.envs.imports import _NEED_IMPORT_TORCH
label_desc: Use image node_id 1 for calling the TestSeqLabel obj's underlying member method code with example usage: obj.test_case1() without return types