def test_no_segment_ids(self):
segment_matrix = xlnet_base._compute_segment_matrix(
segment_ids=None,
memory_length=2,
batch_size=1,
use_cls_mask=False)
self.assertIsNone(segment_matrix)
def test_basic(self):
batch_size = 1
memory_length = 0
segment_ids = np.array([[1, 1, 2, 1]])
expected_segment_matrix = np.array([[[False, False, True, False],
[False, False, True, False],
[True, True, False, True],
[False, False, True, False]]])
segment_matrix = xlnet_base._compute_segment_matrix(
segment_ids=segment_ids,
memory_length=memory_length,
batch_size=batch_size,
use_cls_mask=False)
self.assertAllClose(segment_matrix, expected_segment_matrix)
def test_basic_with_memory(self):
batch_size = 1
memory_length = 1
segment_ids = np.array([[1, 1, 2, 1]])
expected_segment_matrix = np.array([[[True, False, False, True, False],
[True, False, False, True, False],
[True, True, True, False, True],
[True, False, False, True,
False]]]).astype(int)
segment_matrix = tf.cast(xlnet_base._compute_segment_matrix(
segment_ids=segment_ids,
memory_length=memory_length,
batch_size=batch_size,
use_cls_mask=False),
dtype=tf.uint8)
self.assertAllClose(segment_matrix, expected_segment_matrix)
def dont_test_basic_with_class_mask(self):
# TODO(allencwang) - this test should pass but illustrates the legacy issue
# of using class mask. Enable once addressed.
batch_size = 1
memory_length = 0
segment_ids = np.array([[1, 1, 2, 1]])
expected_segment_matrix = np.array([[[False, False, True, False],
[False, False, True, False],
[True, True, False, True],
[False, False, True,
False]]]).astype(int)
segment_matrix = tf.cast(xlnet_base._compute_segment_matrix(
segment_ids=segment_ids,
memory_length=memory_length,
batch_size=batch_size,
use_cls_mask=True),
dtype=tf.uint8)
self.assertAllClose(segment_matrix, expected_segment_matrix)
