code: def test_baseline_generation(self) -> None:
      baseline_generator = BaselineGenerator(
          self.model, self.data_handler, "cpu"
      )
      embedding_list = configure_model_integ_grads_embeddings(
          self.model
      )
      integrated_gradients_embedding = embedding_list[0]
      self.assertTrue(
          torch.allclose(
              baseline_generator.generate_baseline(
                  integrated_gradients_embedding, 5
              )[0],
              torch.tensor([[1, 1, 1, 1, 1]]),
          )
      )
  
file_path: captum/tests/attr/models/test_pytext.py
imports: from __future__ import print_function
  import os
  import tempfile
  import unittest
  from typing import Dict, List
  import torch
label_desc: Use image node_id 4 for calling the TestWordEmbeddings obj's underlying member method code with example usage: obj.test_baseline_generation() without return types