Python cu_weighted_norm Exemples

Exemple #1

Fichier : cu_ntuples_test.py Projet : odlgroup/odlcuda

def test_vector_norm(exponent):
    rn = CudaFn(5)
    xarr, x = noise_elements(rn)

    weight = _pos_vector(CudaFn(5))

    weighting = CudaFnVectorWeighting(weight, exponent=exponent)

    if exponent in (1.0, float('inf')):
        true_norm = np.linalg.norm(weight.asarray() * xarr, ord=exponent)
    else:
        true_norm = np.linalg.norm(weight.asarray() ** (1 / exponent) * xarr,
                                   ord=exponent)

    if exponent == float('inf'):
        # Not yet implemented, should raise
        with pytest.raises(NotImplementedError):
            weighting.norm(x)
    else:
        assert almost_equal(weighting.norm(x), true_norm)

    # Same with free function
    pnorm = cu_weighted_norm(weight, exponent=exponent)

    if exponent == float('inf'):
        # Not yet implemented, should raise
        with pytest.raises(NotImplementedError):
            pnorm(x)
    else:
        assert almost_equal(pnorm(x), true_norm)

Exemple #2

Fichier : cu_ntuples_test.py Projet : fredrikhellman/odlcuda

def test_vector_norm(exponent):
    rn = CudaFn(5)
    xarr, x = noise_elements(rn)

    weight = _pos_vector(CudaFn(5))

    weighting = CudaFnArrayWeighting(weight, exponent=exponent)

    if exponent in (1.0, float('inf')):
        true_norm = np.linalg.norm(weight.asarray() * xarr, ord=exponent)
    else:
        true_norm = np.linalg.norm(weight.asarray()**(1 / exponent) * xarr,
                                   ord=exponent)

    if exponent == float('inf'):
        # Not yet implemented, should raise
        with pytest.raises(NotImplementedError):
            weighting.norm(x)
    else:
        assert almost_equal(weighting.norm(x), true_norm)

    # Same with free function
    pnorm = cu_weighted_norm(weight, exponent=exponent)

    if exponent == float('inf'):
        # Not yet implemented, should raise
        with pytest.raises(NotImplementedError):
            pnorm(x)
    else:
        assert almost_equal(pnorm(x), true_norm)

Exemple #3

Fichier : cu_ntuples_test.py Projet : odlgroup/odlcuda

def test_const_norm(exponent):
    rn = CudaFn(5)
    xarr, x = noise_elements(rn)

    constant = 1.5
    weighting = CudaFnConstWeighting(constant, exponent=exponent)

    factor = 1 if exponent == float('inf') else constant ** (1 / exponent)
    true_norm = factor * np.linalg.norm(xarr, ord=exponent)

    if exponent == float('inf'):
        # Not yet implemented, should raise
        with pytest.raises(NotImplementedError):
            weighting.norm(x)
    else:
        assert almost_equal(weighting.norm(x), true_norm)

    # Same with free function
    pnorm = cu_weighted_norm(constant, exponent=exponent)
    if exponent == float('inf'):
        # Not yet implemented, should raise
        with pytest.raises(NotImplementedError):
            pnorm(x)
    else:
        assert almost_equal(pnorm(x), true_norm)

Exemple #4

Fichier : cu_ntuples_test.py Projet : fredrikhellman/odlcuda

def test_const_norm(exponent):
    rn = CudaFn(5)
    xarr, x = noise_elements(rn)

    constant = 1.5
    weighting = CudaFnConstWeighting(constant, exponent=exponent)

    factor = 1 if exponent == float('inf') else constant**(1 / exponent)
    true_norm = factor * np.linalg.norm(xarr, ord=exponent)

    if exponent == float('inf'):
        # Not yet implemented, should raise
        with pytest.raises(NotImplementedError):
            weighting.norm(x)
    else:
        assert almost_equal(weighting.norm(x), true_norm)

    # Same with free function
    pnorm = cu_weighted_norm(constant, exponent=exponent)
    if exponent == float('inf'):
        # Not yet implemented, should raise
        with pytest.raises(NotImplementedError):
            pnorm(x)
    else:
        assert almost_equal(pnorm(x), true_norm)