docstr: Test DMPNNModel class for reloading the model.
docstr_tok: ["Test","DMPNNModel","class","for","reloading","the","model","."]
code: def test_seqtoseq_reload(self):
      """Test DMPNNModel class for reloading the model."""
      torch.manual_seed(0)
      # Initialize the model
      model_dir = tempfile.mkdtemp()
      sequence_length = 8
      tokens = list(str(x) for x in range(10))
      model = SeqToSeqModel(
          tokens, tokens, sequence_length, model_dir=model_dir
      )
  
      # Fit the Model
      model.fit_sequences(generate_sequences(sequence_length, 100))
  
      reloded_model = SeqToSeqModel(
          tokens, tokens, sequence_length, model_dir=model_dir
      )
  
      reloded_model.restore()
  
      tests = [
          seq
          for seq, target in generate_sequences(sequence_length, 100)
      ]
  
      original_predict = model.predict_from_sequences(tests, 1)
      reloded_predict = reloded_model.predict_from_sequences(tests, 1)
  
      assert original_predict == reloded_predict
  
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 4 for calling the TestSeqToSeq obj's underlying member method code with example usage: obj.test_seqtoseq_reload() without return types