Skip to content

GitLab

P
pypocketfft
Commit 8b4a762a authored by Peter Bell's avatar Peter Bell Committed by Martin Reinecke
Browse files
Options

Remove redundant "ortho" parameter from python interface

parent 8bbee24d
Hide whitespace changes
Inline Side-by-side
Showing with 49 additions and 84 deletions
pypocketfft.cc
View file @ 8b4a762a
......@@ -227,7 +227,7 @@ py::array r2r_fftpack(const py::array &in, const py::object &axes_,
}
template<typename T> py::array dct_internal(const py::array &in,
const py::object &axes_, int type, int inorm, bool ortho, py::object &out_,
const py::object &axes_, int type, int inorm, py::object &out_,
size_t nthreads)
{
auto axes = makeaxes(in, axes_);
......@@ -239,10 +239,9 @@ template<typename T> py::array dct_internal(const py::array &in,
auto d_out=reinterpret_cast<T *>(res.mutable_data());
{
py::gil_scoped_release release;
// override
if (ortho) inorm=1;
T fct = (type==1) ? norm_fct<T>(inorm, dims, axes, 2, -1)
: norm_fct<T>(inorm, dims, axes, 2);
bool ortho = inorm == 1;
pocketfft::dct(dims, s_in, s_out, axes, type, d_in, d_out, fct, ortho,
nthreads);
}
......@@ -250,15 +249,15 @@ template<typename T> py::array dct_internal(const py::array &in,
}
py::array dct(const py::array &in, int type, const py::object &axes_,
int inorm, bool ortho, py::object &out_, size_t nthreads)
int inorm, py::object &out_, size_t nthreads)
{
if ((type<1) || (type>4)) throw invalid_argument("invalid DCT type");
DISPATCH(in, f64, f32, flong, dct_internal, (in, axes_, type, inorm, ortho,
out_, nthreads))
DISPATCH(in, f64, f32, flong, dct_internal, (in, axes_, type, inorm, out_,
nthreads))
}
template<typename T> py::array dst_internal(const py::array &in,
const py::object &axes_, int type, int inorm, bool ortho, py::object &out_,
const py::object &axes_, int type, int inorm, py::object &out_,
size_t nthreads)
{
auto axes = makeaxes(in, axes_);
......@@ -270,10 +269,9 @@ template<typename T> py::array dst_internal(const py::array &in,
auto d_out=reinterpret_cast<T *>(res.mutable_data());
{
py::gil_scoped_release release;
// override
if (ortho) inorm=1;
T fct = (type==1) ? norm_fct<T>(inorm, dims, axes, 2, 1)
: norm_fct<T>(inorm, dims, axes, 2);
bool ortho = inorm == 1;
pocketfft::dst(dims, s_in, s_out, axes, type, d_in, d_out, fct, ortho,
nthreads);
}
......@@ -281,10 +279,10 @@ template<typename T> py::array dst_internal(const py::array &in,
}
py::array dst(const py::array &in, int type, const py::object &axes_,
int inorm, bool ortho, py::object &out_, size_t nthreads)
int inorm, py::object &out_, size_t nthreads)
{
if ((type<1) || (type>4)) throw invalid_argument("invalid DST type");
DISPATCH(in, f64, f32, flong, dst_internal, (in, axes_, type, inorm, ortho,
DISPATCH(in, f64, f32, flong, dst_internal, (in, axes_, type, inorm,
out_, nthreads))
}
......@@ -599,11 +597,18 @@ axes : list of integers
inorm : int
Normalization type
0 : no normalization
1 : divide by sqrt(N)
1 : make transform orthogonal and divide by sqrt(N)
2 : divide by N
where N is the product of n_i for every transformed axis i.
n_i is 2*(<axis_length>-1 for type 1 and 2*<axis length>
for types 2, 3, 4.
Making the transform orthogonal involves the following additional steps
for every 1D sub-transform:
Type 1 : multiply first and last input value by sqrt(2)
divide first and last output value by sqrt(2)
Type 2 : divide first output value by sqrt(2)
Type 3 : multiply first input value by sqrt(2)
Type 4 : nothing
out : numpy.ndarray (same shape and data type as `a`)
May be identical to `a`, but if it isn't, it must not overlap with `a`.
If None, a new array is allocated to store the output.
......@@ -631,11 +636,17 @@ axes : list of integers
inorm : int
Normalization type
0 : no normalization
1 : divide by sqrt(N)
1 : make transform orthogonal and divide by sqrt(N)
2 : divide by N
where N is the product of n_i for every transformed axis i.
n_i is 2*(<axis_length>+1 for type 1 and 2*<axis length>
for types 2, 3, 4.
Making the transform orthogonal involves the following additional steps
for every 1D sub-transform:
Type 1 : nothing
Type 2 : divide first output value by sqrt(2)
Type 3 : multiply first input value by sqrt(2)
Type 4 : nothing
out : numpy.ndarray (same shape and data type as `a`)
May be identical to `a`, but if it isn't, it must not overlap with `a`.
If None, a new array is allocated to store the output.
......@@ -669,7 +680,7 @@ PYBIND11_MODULE(pypocketfft, m)
m.def("genuine_hartley", genuine_hartley, genuine_hartley_DS, "a"_a,
"axes"_a=None, "inorm"_a=0, "out"_a=None, "nthreads"_a=1);
m.def("dct", dct, dct_DS, "a"_a, "type"_a, "axes"_a=None, "inorm"_a=0,
"ortho"_a=false, "out"_a=None, "nthreads"_a=1);
"out"_a=None, "nthreads"_a=1);
m.def("dst", dst, dst_DS, "a"_a, "type"_a, "axes"_a=None, "inorm"_a=0,
"ortho"_a=false, "out"_a=None, "nthreads"_a=1);
"out"_a=None, "nthreads"_a=1);
}
test.py
View file @ 8b4a762a
......@@ -55,36 +55,27 @@ def irfft_scipy(a, axis, inorm=0, out=None, nthreads=1):
forward=False, inorm=inorm, out=out,
nthreads=nthreads)
tol = {np.float32: 6e-7, np.float64: 1.5e-15, np.longfloat: 1e-18}
ctype = {np.float32: np.complex64, np.float64: np.complex128, np.longfloat: np.longcomplex}
@pmp("len", len1D)
@pmp("inorm", [0, 1, 2])
def test1D(len, inorm):
@pmp("dtype", [np.float32, np.float64, np.longfloat])
def test1D(len, inorm, dtype):
a = np.random.rand(len)-0.5 + 1j*np.random.rand(len)-0.5j
b = a.astype(np.complex64)
c = a.astype(np.complex256)
_assert_close(a, ifftn(fftn(c, inorm=inorm), inorm=2-inorm), 1e-18)
assert_(_l2error(a, ifftn(fftn(a, inorm=inorm), inorm=2-inorm)) < 1.5e-15)
a = a.astype(ctype[dtype])
eps = tol[dtype]
assert_(_l2error(a, ifftn(fftn(a, inorm=inorm), inorm=2-inorm)) < eps)
assert_(_l2error(a.real, ifftn(fftn(a.real, inorm=inorm), inorm=2-inorm))
< 1.5e-15)
< eps)
assert_(_l2error(a.real, fftn(ifftn(a.real, inorm=inorm), inorm=2-inorm))
< 1.5e-15)
< eps)
assert_(_l2error(a.real, irfftn(rfftn(a.real, inorm=inorm),
inorm=2-inorm, lastsize=len)) < 1.5e-15)
inorm=2-inorm, lastsize=len)) < eps)
tmp = a.copy()
assert_(ifftn(fftn(tmp, out=tmp, inorm=inorm), out=tmp, inorm=2-inorm)
is tmp)
assert_(_l2error(tmp, a) < 1.5e-15)
assert_(_l2error(b, ifftn(fftn(b, inorm=inorm), inorm=2-inorm)) < 6e-7)
assert_(_l2error(b.real, ifftn(fftn(b.real, inorm=inorm), inorm=2-inorm))
< 6e-7)
assert_(_l2error(b.real, fftn(ifftn(b.real, inorm=inorm), inorm=2-inorm))
< 6e-7)
assert_(_l2error(b.real, irfftn(rfftn(b.real, inorm=inorm), lastsize=len,
inorm=2-inorm)) < 6e-7)
tmp = b.copy()
assert_(ifftn(fftn(tmp, out=tmp, inorm=inorm), out=tmp, inorm=2-inorm)
is tmp)
assert_(_l2error(tmp, b) < 6e-7)
assert_(_l2error(tmp, a) < eps)
@pmp("shp", shapes)
......@@ -206,54 +197,17 @@ def test_genuine_hartley_2D(shp, axes):
@pmp("len", len1D)
@pmp("inorm", [0, 1, 2])
@pmp("type", [1, 2, 3])
def testdcst1D(len, inorm, type):
a = np.random.rand(len)-0.5
b = a.astype(np.float32)
c = a.astype(np.float128)
itp = (0, 1, 3, 2, 4)
itype = itp[type]
if type != 1 or len > 1:
_assert_close(a, pypocketfft.dct(pypocketfft.dct(c, inorm=inorm, type=type), inorm=2-inorm, type=itype), 2e-18)
_assert_close(a, pypocketfft.dct(pypocketfft.dct(a, inorm=inorm, type=type), inorm=2-inorm, type=itype), 1.5e-15)
_assert_close(b, pypocketfft.dct(pypocketfft.dct(b, inorm=inorm, type=type), inorm=2-inorm, type=itype), 6e-7)
_assert_close(a, pypocketfft.dst(pypocketfft.dst(c, inorm=inorm, type=type), inorm=2-inorm, type=itype), 2e-18)
_assert_close(a, pypocketfft.dst(pypocketfft.dst(a, inorm=inorm, type=type), inorm=2-inorm, type=itype), 1.5e-15)
_assert_close(b, pypocketfft.dst(pypocketfft.dst(b, inorm=inorm, type=type), inorm=2-inorm, type=itype), 6e-7)
@pmp("len", len1D)
@pmp("type", [1, 2, 3])
def testdcst1Dortho(len, type):
a = np.random.rand(len)-0.5
b = a.astype(np.float32)
c = a.astype(np.float128)
itp = (0, 1, 3, 2, 4)
itype = itp[type]
if type != 1 or len > 1:
_assert_close(a, pypocketfft.dct(pypocketfft.dct(c, ortho=True, type=type), ortho=True, type=itype), 2e-18)
_assert_close(a, pypocketfft.dct(pypocketfft.dct(a, ortho=True, type=type), ortho=True, type=itype), 1.5e-15)
_assert_close(b, pypocketfft.dct(pypocketfft.dct(b, ortho=True, type=type), ortho=True, type=itype), 6e-7)
if type != 1:
_assert_close(a, pypocketfft.dst(pypocketfft.dst(c, ortho=True, type=type), ortho=True, type=itype), 2e-18)
_assert_close(a, pypocketfft.dst(pypocketfft.dst(a, ortho=True, type=type), ortho=True, type=itype), 1.5e-15)
_assert_close(b, pypocketfft.dst(pypocketfft.dst(b, ortho=True, type=type), ortho=True, type=itype), 6e-7)
# TEMPORARY: separate test for DCT/DST IV, since they are less accurate
@pmp("len", len1D)
@pmp("inorm", [0, 1, 2])
@pmp("type", [4])
def testdcst1D4(len, inorm, type):
a = np.random.rand(len)-0.5
b = a.astype(np.float32)
c = a.astype(np.float128)
@pmp("inorm", [0, 1]) # inorm==2 not needed, tested via inverse
@pmp("type", [1, 2, 3, 4])
@pmp("dtype", [np.float32, np.float64, np.longfloat])
def testdcst1D(len, inorm, type, dtype):
a = (np.random.rand(len)-0.5).astype(dtype)
eps = tol[dtype]
itp = (0, 1, 3, 2, 4)
if type==4 and len%2 == 1: # relaxed accuracies for odd-length type 4 transforms
special_tol = {np.float32: 4e-5, np.float64: 6e-14, np.longfloat: 4e-17}
eps = special_tol[dtype]
itype = itp[type]
if type != 1 or len > 1:
_assert_close(a, pypocketfft.dct(pypocketfft.dct(c, inorm=inorm, type=type), inorm=2-inorm, type=itype), 2e-16)
_assert_close(a, pypocketfft.dct(pypocketfft.dct(a, inorm=inorm, type=type), inorm=2-inorm, type=itype), 1.5e-13)
_assert_close(b, pypocketfft.dct(pypocketfft.dct(b, inorm=inorm, type=type), inorm=2-inorm, type=itype), 6e-5)
_assert_close(a, pypocketfft.dst(pypocketfft.dst(c, inorm=inorm, type=type), inorm=2-inorm, type=itype), 2e-16)
_assert_close(a, pypocketfft.dst(pypocketfft.dst(a, inorm=inorm, type=type), inorm=2-inorm, type=itype), 1.5e-13)
_assert_close(b, pypocketfft.dst(pypocketfft.dst(b, inorm=inorm, type=type), inorm=2-inorm, type=itype), 6e-5)
if type != 1 or len > 1: # there are no length-1 type 1 DCTs
_assert_close(a, pypocketfft.dct(pypocketfft.dct(a, inorm=inorm, type=type), inorm=2-inorm, type=itype), eps)
_assert_close(a, pypocketfft.dst(pypocketfft.dst(a, inorm=inorm, type=type), inorm=2-inorm, type=itype), eps)
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment