Beispiel #1
0
  def test_c4_bare_preprocess_fn_denoising_objective(self):
    _t5_gin_config()

    dataset = _c4_dataset()
    dataset = tf_inputs.c4_bare_preprocess_fn(dataset, spm_path=_spm_path())

    example = list(tfds.as_numpy(dataset.take(1)))[0]

    # Assertions now.

    self.assertIn('targets', example)
    targets = example['targets']
    self.assertIsInstance(targets, np.ndarray)
    self.assertEqual(targets.dtype, np.int64)
    self.assertGreater(len(targets), 0)

    self.assertIn('inputs', example)
    _inputs = example['inputs']  # pylint: disable=invalid-name
    self.assertIsInstance(_inputs, np.ndarray)
    self.assertEqual(_inputs.dtype, np.int64)
    self.assertGreater(len(_inputs), 0)

    # WHP inputs will have the bulk of the text.
    self.assertGreater(len(_inputs), len(targets))

    # WHP there will be two sentinel tokens in the inputs and targets.
    inputs_counter = collections.Counter(_inputs.tolist())
    targets_counter = collections.Counter(targets.tolist())
    self.assertEqual(1, inputs_counter[31999])
    self.assertEqual(1, inputs_counter[31998])
    self.assertEqual(1, targets_counter[31999])
    self.assertEqual(1, targets_counter[31998])
Beispiel #2
0
  def test_c4_bare_preprocess_fn(self):
    dataset = _c4_dataset()

    example = list(tfds.as_numpy(dataset.take(1)))[0]

    # Targets are NOT in the example.
    self.assertNotIn('targets', example)
    self.assertIn('text', example)
    text = example['text']

    # This should convert the dataset to an inputs/targets that are tokenized.
    dataset = tf_inputs.c4_bare_preprocess_fn(dataset, spm_path=_spm_path())

    example = list(tfds.as_numpy(dataset.take(1)))[0]

    # Earlier text is now stored in targets_plaintext
    self.assertIn('targets_plaintext', example)
    self.assertEqual(example['targets_plaintext'], text)

    # Targets are now tokenized.
    self.assertIn('targets', example)
    self.assertIsInstance(example['targets'], np.ndarray)
    self.assertEqual(example['targets'].dtype, np.int64)
    self.assertGreater(len(example['targets']), 0)
    self.assertEqual(example['targets'][-1], 1)  # we add EOS at the end.

    # Inputs exist but is empty because t5 preprocessors' unsupervised wasn't
    # gin configured with any.
    self.assertIn('inputs', example)
    self.assertEqual(len(example['inputs']), 0)