Esempio n. 1
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    def test_sequence_mask(self):
        with self.test_session(graph=tf.Graph()):
            lengths = tf.constant([1, 2, 3])

            mask = tensor_utils.sequence_mask(lengths)
            transposed_mask = tensor_utils.sequence_mask(lengths,
                                                         transpose=True)

            self.assertAllEqual(mask.eval(),
                                [[True, False, False], [True, True, False],
                                 [True, True, True]])  # pyformat: disable

            self.assertAllEqual(transposed_mask.eval(),
                                [[True, True, True], [False, True, True],
                                 [False, False, True]])  # pyformat: disable
Esempio n. 2
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    def test_sequence_mask_with_dtype(self):
        with self.test_session(graph=tf.Graph()):
            lengths = tf.constant([1, 2, 3])

            mask = tensor_utils.sequence_mask(lengths, dtype=tf.int32)
            transposed_mask = tensor_utils.sequence_mask(lengths,
                                                         dtype=tf.int32,
                                                         transpose=True)

            self.assertAllEqual(
                mask.eval(),
                [[1, 0, 0], [1, 1, 0], [1, 1, 1]])  # pyformat: disable

            self.assertAllEqual(
                transposed_mask.eval(),
                [[1, 1, 1], [0, 1, 1], [0, 0, 1]])  # pyformat: disable