def test_const_dist(exponent):
rn = odl.CudaRn(5)
xarr, yarr, x, y = _vectors(rn, n=2)
constant = 1.5
weighting = CudaFnConstWeighting(constant, exponent=exponent)
factor = 1 if exponent == float('inf') else constant ** (1 / exponent)
true_dist = factor * np.linalg.norm(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(constant, 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_const_dist(exponent):
rn = CudaRn(5)
[xarr, yarr], [x, y] = example_vectors(rn, n=2)
constant = 1.5
weighting = CudaFnConstWeighting(constant, exponent=exponent)
factor = 1 if exponent == float('inf') else constant ** (1 / exponent)
true_dist = factor * np.linalg.norm(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(constant, 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_const_norm(exponent):
rn = CudaRn(5)
xarr, x = example_vectors(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 = odl.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)
def test_const_inner():
rn = odl.CudaRn(5)
xarr, yarr, x, y = _vectors(rn, 2)
constant = 1.5
weighting = CudaFnConstWeighting(constant)
true_inner = constant * np.vdot(yarr, xarr)
assert almost_equal(weighting.inner(x, y), true_inner)
def test_const_inner():
rn = CudaRn(5)
[xarr, yarr], [x, y] = example_vectors(rn, 2)
constant = 1.5
weighting = CudaFnConstWeighting(constant)
true_inner = constant * np.vdot(yarr, xarr)
assert almost_equal(weighting.inner(x, y), true_inner)
def test_const_equals(exponent):
constant = 1.5
weighting = CudaFnConstWeighting(constant, exponent=exponent)
weighting2 = CudaFnConstWeighting(constant, exponent=exponent)
other_weighting = CudaFnConstWeighting(2.5, exponent=exponent)
wrong_exp = FnConstWeighting(constant, exponent=exponent + 1)
assert weighting == weighting
assert weighting == weighting2
assert weighting2 == weighting
assert weighting != other_weighting
assert weighting != wrong_exp
def test_init_weighting(exponent):
const = 1.5
weight_vec = _pos_vector(CudaRn(3))
weight_elem = CudaFn(3, dtype='float32').element(weight_vec)
f3_none = CudaFn(3, dtype='float32', exponent=exponent)
f3_const = CudaFn(3, dtype='float32', weight=const, exponent=exponent)
f3_vec = CudaFn(3, dtype='float32', weight=weight_vec, exponent=exponent)
f3_elem = CudaFn(3, dtype='float32', weight=weight_elem, exponent=exponent)
weighting_none = CudaFnNoWeighting(exponent=exponent)
weighting_const = CudaFnConstWeighting(const, exponent=exponent)
weighting_vec = CudaFnVectorWeighting(weight_vec, exponent=exponent)
weighting_elem = CudaFnVectorWeighting(weight_elem, exponent=exponent)
assert f3_none.weighting == weighting_none
assert f3_const.weighting == weighting_const
assert f3_vec.weighting == weighting_vec
assert f3_elem.weighting == weighting_elem
def test_const_init(exponent):
const = 1.5
CudaFnConstWeighting(const, exponent=exponent)
