def test_sparse_variational_update_raises_for_invalid_shapes(new_data: Dataset) -> None:
model = SparseVariational(
svgp_model(tf.zeros([1, 4]), tf.zeros([1, 1])),
)
with pytest.raises(ValueError):
model.update(new_data)
def test_sparse_variational_update_updates_num_data() -> None:
model = SparseVariational(
svgp_model(tf.zeros([1, 4]), tf.zeros([1, 1])),
)
model.update(Dataset(tf.zeros([5, 4]), tf.zeros([5, 1])))
assert model.model.num_data == 5