Ejemplo n.º 1
0
def test_deterministic_gpu_aamp_ostinato(seed):
    m = 50
    np.random.seed(seed)
    Ts = [np.random.rand(n) for n in [64, 128, 256]]

    ref_radius, ref_Ts_idx, ref_subseq_idx = naive.aamp_ostinato(Ts, m)
    comp_radius, comp_Ts_idx, comp_subseq_idx = gpu_aamp_ostinato(Ts, m)

    npt.assert_almost_equal(ref_radius, comp_radius)
    npt.assert_almost_equal(ref_Ts_idx, comp_Ts_idx)
    npt.assert_almost_equal(ref_subseq_idx, comp_subseq_idx)
def test_gpu_ostinato():
    if not cuda.is_available():  # pragma: no cover
        pytest.skip("Skipping Tests No GPUs Available")

    m = 50
    Ts = [np.random.rand(n) for n in [64, 128, 256]]

    ref_radius, ref_Ts_idx, ref_subseq_idx = stumpy.gpu_aamp_ostinato(Ts, m)
    comp_radius, comp_Ts_idx, comp_subseq_idx = stumpy.gpu_ostinato(
        Ts, m, normalize=False)

    npt.assert_almost_equal(ref_radius, comp_radius)
    npt.assert_almost_equal(ref_Ts_idx, comp_Ts_idx)
    npt.assert_almost_equal(ref_subseq_idx, comp_subseq_idx)