907e8035656b0597a7a2f3cc1bf237a8cbf48821,tests/keras/backend/backend_test.py,TestBackend,test_one_hot,#TestBackend#,1617

Before Change

        indices = np.random.randint(0, num_classes, size=(batch_size, input_length))
        oh = np.eye(num_classes)[indices]
        for k in BACKENDS:
            koh = k.eval(k.one_hot(k.variable(indices, dtype="int32"), num_classes))
            assert np.all(koh == oh)

    def test_sparse_dot(self):
        x_d = np.array([0, 7, 2, 3], dtype=np.float32)

After Change

        batch_size = 30
        indices = np.random.randint(0, num_classes, size=(batch_size, input_length))
        oh = np.eye(num_classes)[indices]
        koh = K.eval(K.one_hot(K.variable(indices, dtype="int32"), num_classes))
        assert np.all(koh == oh)

    def test_sparse_dot(self):
        x_d = np.array([0, 7, 2, 3], dtype=np.float32)

Instances