losses_test.py 文件源码

def test_op(self):
    logits = np.random.randn(self.sequence_length, self.batch_size,
                             self.vocab_size)
    logits = logits.astype(np.float32)
    sequence_length = np.array([1, 2, 3, 4])
    targets = np.random.randint(0, self.vocab_size,
                                [self.sequence_length, self.batch_size])
    losses = seq2seq_losses.cross_entropy_sequence_loss(logits, targets,
                                                        sequence_length)

    with self.test_session() as sess:
      losses_ = sess.run(losses)

    # Make sure all losses not past the sequence length are > 0
    np.testing.assert_array_less(np.zeros_like(losses_[:1, 0]), losses_[:1, 0])
    np.testing.assert_array_less(np.zeros_like(losses_[:2, 1]), losses_[:2, 1])
    np.testing.assert_array_less(np.zeros_like(losses_[:3, 2]), losses_[:3, 2])

    # Make sure all losses past the sequence length are 0
    np.testing.assert_array_equal(losses_[1:, 0], np.zeros_like(losses_[1:, 0]))
    np.testing.assert_array_equal(losses_[2:, 1], np.zeros_like(losses_[2:, 1]))
    np.testing.assert_array_equal(losses_[3:, 2], np.zeros_like(losses_[3:, 2]))