docstr: Test the SeqToSeq Class.
docstr_tok: ["Test","the","SeqToSeq","Class","."]
code: def test_seqtoseq(self):
      """Test the SeqToSeq Class."""
      global token_list
      token_list = token_list + [" "]
      input_dict = dict((x, i) for i, x in enumerate(token_list))
      n_tokens = len(token_list)
      embedding_dimension = 16
  
      model = SeqToSeq(
          n_tokens,
          n_tokens,
          max_length,
          batch_size=batch_size,
          embedding_dimension=embedding_dimension,
      )
      inputs = create_input_array(
          train_smiles, max_length, False, batch_size, input_dict, " "
      )
      output, embeddings = model(
          [torch.tensor(inputs), torch.tensor([1])]
      )
  
      assert output.shape == (batch_size, max_length, n_tokens)
      assert embeddings.shape == (batch_size, embedding_dimension)
  
file_path: deepchem/deepchem/models/tests/test_seqtoseq_model.py
imports: import pytest
  import unittest
  from typing import Set
  import tempfile
  import numpy
  from deepchem.utils.batch_utils import create_input_array
label_desc: Use image node_id 1 for calling the TestSeqToSeq obj's underlying member method code with example usage: obj.test_seqtoseq() without return types