def test_vector_dist(exponent):
rn = CudaRn(5)
[xarr, yarr], [x, y] = example_vectors(rn, n=2)
weight = _pos_vector(CudaRn(5))
weighting = CudaFnVectorWeighting(weight, exponent=exponent)
if exponent in (1.0, float('inf')):
true_dist = np.linalg.norm(weight.asarray() * (xarr - yarr),
ord=exponent)
else:
true_dist = np.linalg.norm(
weight.asarray() ** (1 / exponent) * (xarr - yarr), ord=exponent)
if exponent == float('inf'):
# Not yet implemented, should raise
with pytest.raises(NotImplementedError):
weighting.dist(x, y)
else:
assert almost_equal(weighting.dist(x, y), true_dist)
# Same with free function
pdist = odl.cu_weighted_dist(weight, exponent=exponent)
if exponent == float('inf'):
# Not yet implemented, should raise
with pytest.raises(NotImplementedError):
pdist(x, y)
else:
assert almost_equal(pdist(x, y), true_dist)
def test_vector_dist(exponent):
rn = odl.CudaRn(5)
xarr, yarr, x, y = _vectors(rn, n=2)
weight = _pos_vector(odl.CudaRn(5))
weighting = CudaFnVectorWeighting(weight, exponent=exponent)
if exponent in (1.0, float('inf')):
true_dist = np.linalg.norm(weight.asarray() * (xarr - yarr),
ord=exponent)
else:
true_dist = np.linalg.norm(
weight.asarray() ** (1 / exponent) * (xarr - yarr), ord=exponent)
if exponent == float('inf'):
# Not yet implemented, should raise
with pytest.raises(NotImplementedError):
weighting.dist(x, y)
else:
assert almost_equal(weighting.dist(x, y), true_dist)
# Same with free function
pdist = odl.cu_weighted_dist(weight, exponent=exponent)
if exponent == float('inf'):
# Not yet implemented, should raise
with pytest.raises(NotImplementedError):
pdist(x, y)
else:
assert almost_equal(pdist(x, y), true_dist)
def test_vector_dist(exponent):
rn = odl.CudaRn(5)
xarr, yarr, x, y = _vectors(rn, n=2)
weight_vec = _pos_array(odl.Rn(5))
weight_elem = rn.element(weight_vec)
weighting_vec = CudaFnVectorWeighting(weight_vec, exponent=exponent)
weighting_elem = CudaFnVectorWeighting(weight_elem, exponent=exponent)
if exponent in (1.0, float('inf')):
true_dist = np.linalg.norm(weight_vec * (xarr - yarr), ord=exponent)
else:
true_dist = np.linalg.norm(
weight_vec ** (1 / exponent) * (xarr - yarr), ord=exponent)
if exponent == float('inf') or int(exponent) != exponent:
# Not yet implemented, should raise
with pytest.raises(NotImplementedError):
weighting_vec.dist(x, y)
with pytest.raises(NotImplementedError):
weighting_elem.dist(x, y)
else:
assert almost_equal(weighting_vec.dist(x, y), true_dist)
assert almost_equal(weighting_elem.dist(x, y), true_dist)
# Same with free function
pdist_vec = odl.cu_weighted_dist(weight_vec, exponent=exponent)
pdist_elem = odl.cu_weighted_dist(weight_elem, exponent=exponent)
if exponent == float('inf') or int(exponent) != exponent:
# Not yet implemented, should raise
with pytest.raises(NotImplementedError):
pdist_vec(x, y)
with pytest.raises(NotImplementedError):
pdist_elem(x, y)
else:
assert almost_equal(pdist_vec(x, y), true_dist)
assert almost_equal(pdist_elem(x, y), true_dist)
