Skip to content

GitLab

Commit 2970b68c authored by Martin Reinecke's avatar Martin Reinecke
Browse files

OpenMP support, take 1

parent f7e2dfc1
Hide whitespace changes
Inline Side-by-side
Showing with 153 additions and 84 deletions
pocketfft_hdronly.h
View file @ 2970b68c
......@@ -51,6 +51,10 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#if defined(_WIN32)
#include <malloc.h>
#endif
#ifdef POCKETFFT_OPENMP
#include <omp.h>
#endif
#ifdef __GNUC__
#define NOINLINE __attribute__((noinline))
......@@ -457,6 +461,18 @@ struct util // hack to avoid duplicate symbols
sanity_check(shape, stride_in, stride_out, inplace);
if (axis>=shape.size()) throw runtime_error("bad axis number");
}
#ifdef POCKETFFT_OPENMP
static int nthreads() { return omp_get_num_threads(); }
static int thread_num() { return omp_get_thread_num(); }
static bool run_parallel (const shape_t &shape, size_t axis)
{ return prod(shape)/shape[axis] > 20; } // FIXME, needs improvement
#else
static int nthreads() { return 1; }
static int thread_num() { return 0; }
static bool run_parallel (const shape_t &, size_t)
{ return false; }
#endif
};
#define CH(a,b,c) ch[(a)+ido*((b)+l1*(c))]
......@@ -2091,11 +2107,34 @@ template<size_t N, typename Ti, typename To> class multi_iter
}
public:
multi_iter(const ndarr<Ti> &iarr_, ndarr<To> &oarr_, size_t idim_)
multi_iter(const ndarr<Ti> &iarr_, ndarr<To> &oarr_, size_t idim_,
size_t nshares=1, size_t myshare=0)
: pos(iarr_.ndim(), 0), iarr(iarr_), oarr(oarr_), p_ii(0),
str_i(iarr.stride(idim_)), p_oi(0), str_o(oarr.stride(idim_)),
idim(idim_), rem(iarr.size()/iarr.shape(idim))
{}
{
if (nshares==1) return;
if (nshares==0) throw runtime_error("can't run with zero threads");
if (myshare>=nshares) throw runtime_error("impossible share requested");
size_t nbase = rem/nshares;
size_t additional = rem%nshares;
size_t lo = myshare*nbase + ((myshare<additional) ? myshare : additional);
size_t hi = lo+nbase+(myshare<additional);
size_t todo = hi-lo;
size_t chunk = rem;
for (size_t i=0; i<pos.size(); ++i)
{
if (i==idim) continue;
chunk /= iarr.shape(i);
size_t n_advance = lo/chunk;
pos[i] += n_advance;
p_ii += n_advance*iarr.stride(i);
p_oi += n_advance*oarr.stride(i);
lo -= n_advance*chunk;
}
rem = todo;
}
void advance(size_t n)
{
if (rem<n) throw runtime_error("underrun");
......@@ -2167,18 +2206,24 @@ template<typename T> arr<char> alloc_tmp(const shape_t &shape,
template<typename T> NOINLINE void general_c(
const ndarr<cmplx<T>> &in, ndarr<cmplx<T>> &out,
const shape_t &axes, bool forward, T fct)
const shape_t &axes, bool forward, T fct, size_t nthreads=1)
{
auto storage = alloc_tmp<T>(in.shape(), axes, sizeof(cmplx<T>));
unique_ptr<pocketfft_c<T>> plan;
for (size_t iax=0; iax<axes.size(); ++iax)
{
constexpr int vlen = VTYPE<T>::vlen;
multi_iter<vlen, cmplx<T>, cmplx<T>> it(iax==0? in : out, out, axes[iax]);
size_t len=it.length_in();
size_t len=in.shape(axes[iax]);
if ((!plan) || (len!=plan->length()))
plan.reset(new pocketfft_c<T>(len));
#ifdef POCKETFFT_OPENMP
#pragma omp parallel if(util::run_parallel(in.shape(), axes[iax])) num_threads(nthreads)
#endif
{
auto storage = alloc_tmp<T>(in.shape(), len, sizeof(cmplx<T>));
multi_iter<vlen, cmplx<T>, cmplx<T>> it(iax==0? in : out, out, axes[iax],
util::nthreads(), util::thread_num());
#if defined(HAVE_VECSUPPORT)
if (vlen>1)
while (it.remaining()>=vlen)
......@@ -2218,23 +2263,31 @@ template<typename T> NOINLINE void general_c(
it.out(i) = tdata[i];
}
}
} // end of parallel region
fct = T(1); // factor has been applied, use 1 for remaining axes
}
}
template<typename T> NOINLINE void general_hartley(
const ndarr<T> &in, ndarr<T> &out, const shape_t &axes, T fct)
const ndarr<T> &in, ndarr<T> &out, const shape_t &axes, T fct,
size_t nthreads=1)
{
auto storage = alloc_tmp<T>(in.shape(), axes, sizeof(T));
unique_ptr<pocketfft_r<T>> plan;
for (size_t iax=0; iax<axes.size(); ++iax)
{
constexpr int vlen = VTYPE<T>::vlen;
multi_iter<vlen, T, T> it(iax==0 ? in : out, out, axes[iax]);
size_t len=it.length_in();
size_t len=in.shape(axes[iax]);
if ((!plan) || (len!=plan->length()))
plan.reset(new pocketfft_r<T>(len));
#ifdef POCKETFFT_OPENMP
#pragma omp parallel if(util::run_parallel(in.shape(), axes[iax])) num_threads(nthreads)
#endif
{
auto storage = alloc_tmp<T>(in.shape(), len, sizeof(T));
multi_iter<vlen, T, T> it(iax==0 ? in : out, out, axes[iax],
util::nthreads(), util::thread_num());
#if defined(HAVE_VECSUPPORT)
if (vlen>1)
while (it.remaining()>=vlen)
......@@ -2275,19 +2328,25 @@ template<typename T> NOINLINE void general_hartley(
if (i<len)
it.out(i1) = tdata[i];
}
} // end of parallel region
fct = T(1); // factor has been applied, use 1 for remaining axes
}
}
template<typename T> NOINLINE void general_r2c(
const ndarr<T> &in, ndarr<cmplx<T>> &out, size_t axis, T fct)
const ndarr<T> &in, ndarr<cmplx<T>> &out, size_t axis, T fct,
size_t nthreads=1)
{
auto storage = alloc_tmp<T>(in.shape(), in.shape(axis), sizeof(T));
pocketfft_r<T> plan(in.shape(axis));
constexpr int vlen = VTYPE<T>::vlen;
multi_iter<vlen, T, cmplx<T>> it(in, out, axis);
size_t len=in.shape(axis);
#ifdef POCKETFFT_OPENMP
#pragma omp parallel if(util::run_parallel(in.shape(), axis)) num_threads(nthreads)
#endif
{
auto storage = alloc_tmp<T>(in.shape(), len, sizeof(T));
multi_iter<vlen, T, cmplx<T>> it(in, out, axis,
util::nthreads(), util::thread_num());
#if defined(HAVE_VECSUPPORT)
if (vlen>1)
while (it.remaining()>=vlen)
......@@ -2324,16 +2383,22 @@ template<typename T> NOINLINE void general_r2c(
if (i<len)
it.out(ii).Set(tdata[i]);
}
} // end of parallel region
}
template<typename T> NOINLINE void general_c2r(
const ndarr<cmplx<T>> &in, ndarr<T> &out, size_t axis, T fct)
const ndarr<cmplx<T>> &in, ndarr<T> &out, size_t axis, T fct,
size_t nthreads=1)
{
auto storage = alloc_tmp<T>(out.shape(), out.shape(axis), sizeof(T));
pocketfft_r<T> plan(out.shape(axis));
constexpr int vlen = VTYPE<T>::vlen;
multi_iter<vlen, cmplx<T>, T> it(in, out, axis);
size_t len=out.shape(axis);
#ifdef POCKETFFT_OPENMP
#pragma omp parallel if(util::run_parallel(in.shape(), axis)) num_threads(nthreads)
#endif
{
auto storage = alloc_tmp<T>(out.shape(), len, sizeof(T));
multi_iter<vlen, cmplx<T>, T> it(in, out, axis,
util::nthreads(), util::thread_num());
#if defined(HAVE_VECSUPPORT)
if (vlen>1)
while (it.remaining()>=vlen)
......@@ -2374,17 +2439,23 @@ template<typename T> NOINLINE void general_c2r(
for (size_t i=0; i<len; ++i)
it.out(i) = tdata[i];
}
} // end of parallel region
}
template<typename T> NOINLINE void general_r(
const ndarr<T> &in, ndarr<T> &out, size_t axis, bool forward, T fct)
const ndarr<T> &in, ndarr<T> &out, size_t axis, bool forward, T fct,
size_t nthreads=1)
{
auto storage = alloc_tmp<T>(in.shape(), in.shape(axis), sizeof(T));
constexpr int vlen = VTYPE<T>::vlen;
multi_iter<vlen, T, T> it(in, out, axis);
size_t len=it.length_in();
size_t len=in.shape(axis);
pocketfft_r<T> plan(len);
#ifdef POCKETFFT_OPENMP
#pragma omp parallel if(util::run_parallel(in.shape(), axis)) num_threads(nthreads)
#endif
{
auto storage = alloc_tmp<T>(in.shape(), len, sizeof(T));
multi_iter<vlen, T, T> it(in, out, axis,
util::nthreads(), util::thread_num());
#if defined(HAVE_VECSUPPORT)
if (vlen>1)
while (it.remaining()>=vlen)
......@@ -2424,6 +2495,7 @@ template<typename T> NOINLINE void general_r(
it.out(i) = tdata[i];
}
}
} // end of parallel region
}
#undef HAVE_VECSUPPORT
......@@ -2432,19 +2504,20 @@ template<typename T> NOINLINE void general_r(
template<typename T> void c2c(const shape_t &shape, const stride_t &stride_in,
const stride_t &stride_out, const shape_t &axes, bool forward,
const std::complex<T> *data_in, std::complex<T> *data_out, T fct)
const std::complex<T> *data_in, std::complex<T> *data_out, T fct,
size_t nthreads=1)
{
using namespace detail;
if (util::prod(shape)==0) return;
util::sanity_check(shape, stride_in, stride_out, data_in==data_out, axes);
ndarr<cmplx<T>> ain(data_in, shape, stride_in),
aout(data_out, shape, stride_out);
general_c(ain, aout, axes, forward, fct);
general_c(ain, aout, axes, forward, fct, nthreads);
}
template<typename T> void r2c(const shape_t &shape_in,
const stride_t &stride_in, const stride_t &stride_out, size_t axis,
const T *data_in, std::complex<T> *data_out, T fct)
const T *data_in, std::complex<T> *data_out, T fct, size_t nthreads=1)
{
using namespace detail;
if (util::prod(shape_in)==0) return;
......@@ -2453,29 +2526,30 @@ template<typename T> void r2c(const shape_t &shape_in,
shape_t shape_out(shape_in);
shape_out[axis] = shape_in[axis]/2 + 1;
ndarr<cmplx<T>> aout(data_out, shape_out, stride_out);
general_r2c(ain, aout, axis, fct);
general_r2c(ain, aout, axis, fct, nthreads);
}
template<typename T> void r2c(const shape_t &shape_in,
const stride_t &stride_in, const stride_t &stride_out, const shape_t &axes,
const T *data_in, std::complex<T> *data_out, T fct)
const T *data_in, std::complex<T> *data_out, T fct, size_t nthreads=1)
{
using namespace detail;
if (util::prod(shape_in)==0) return;
util::sanity_check(shape_in, stride_in, stride_out, false, axes);
r2c(shape_in, stride_in, stride_out, axes.back(), data_in, data_out, fct);
r2c(shape_in, stride_in, stride_out, axes.back(), data_in, data_out, fct,
nthreads);
if (axes.size()==1) return;
shape_t shape_out(shape_in);
shape_out[axes.back()] = shape_in[axes.back()]/2 + 1;
auto newaxes = shape_t{axes.begin(), --axes.end()};
c2c(shape_out, stride_out, stride_out, newaxes, true, data_out, data_out,
T(1));
T(1), nthreads);
}
template<typename T> void c2r(const shape_t &shape_out,
const stride_t &stride_in, const stride_t &stride_out, size_t axis,
const std::complex<T> *data_in, T *data_out, T fct)
const std::complex<T> *data_in, T *data_out, T fct, size_t nthreads=1)
{
using namespace detail;
if (util::prod(shape_out)==0) return;
......@@ -2484,20 +2558,18 @@ template<typename T> void c2r(const shape_t &shape_out,
shape_in[axis] = shape_out[axis]/2 + 1;
ndarr<cmplx<T>> ain(data_in, shape_in, stride_in);
ndarr<T> aout(data_out, shape_out, stride_out);
general_c2r(ain, aout, axis, fct);
general_c2r(ain, aout, axis, fct, nthreads);
}
template<typename T> void c2r(const shape_t &shape_out,
const stride_t &stride_in, const stride_t &stride_out, const shape_t &axes,
const std::complex<T> *data_in, T *data_out, T fct)
const std::complex<T> *data_in, T *data_out, T fct, size_t nthreads=1)
{
using namespace detail;
if (util::prod(shape_out)==0) return;
if (axes.size()==1)
{
c2r(shape_out, stride_in, stride_out, axes[0], data_in, data_out, fct);
return;
}
return c2r(shape_out, stride_in, stride_out, axes[0], data_in, data_out,
fct, nthreads);
util::sanity_check(shape_out, stride_in, stride_out, false, axes);
auto shape_in = shape_out;
shape_in[axes.back()] = shape_out[axes.back()]/2 + 1;
......@@ -2509,31 +2581,31 @@ template<typename T> void c2r(const shape_t &shape_out,
arr<complex<T>> tmp(nval);
auto newaxes = shape_t({axes.begin(), --axes.end()});
c2c(shape_in, stride_in, stride_inter, newaxes, false, data_in, tmp.data(),
T(1));
T(1), nthreads);
c2r(shape_out, stride_inter, stride_out, axes.back(), tmp.data(), data_out,
fct);
fct, nthreads);
}
template<typename T> void r2r_fftpack(const shape_t &shape,
const stride_t &stride_in, const stride_t &stride_out, size_t axis,
bool forward, const T *data_in, T *data_out, T fct)
bool forward, const T *data_in, T *data_out, T fct, size_t nthreads=1)
{
using namespace detail;
if (util::prod(shape)==0) return;
util::sanity_check(shape, stride_in, stride_out, data_in==data_out, axis);
ndarr<T> ain(data_in, shape, stride_in), aout(data_out, shape, stride_out);
general_r(ain, aout, axis, forward, fct);
general_r(ain, aout, axis, forward, fct, nthreads);
}
template<typename T> void r2r_hartley(const shape_t &shape,
const stride_t &stride_in, const stride_t &stride_out, const shape_t &axes,
const T *data_in, T *data_out, T fct)
const T *data_in, T *data_out, T fct, size_t nthreads=1)
{
using namespace detail;
if (util::prod(shape)==0) return;
util::sanity_check(shape, stride_in, stride_out, data_in==data_out, axes);
ndarr<T> ain(data_in, shape, stride_in), aout(data_out, shape, stride_out);
general_hartley(ain, aout, axes, fct);
general_hartley(ain, aout, axes, fct, nthreads);
}
} // namespace pocketfft
......
pypocketfft.cc
View file @ 2970b68c
......@@ -14,8 +14,6 @@
#include <pybind11/numpy.h>
#include <pybind11/stl.h>
#pragma GCC visibility push(hidden)
#include "pocketfft_hdronly.h"
//
......@@ -78,31 +76,31 @@ shape_t makeaxes(const py::array &in, py::object axes)
throw runtime_error("unsupported data type");
template<typename T> py::array xfftn_internal(const py::array &in,
const shape_t &axes, double fct, bool inplace, bool fwd)
const shape_t &axes, double fct, bool inplace, bool fwd, size_t nthreads)
{
auto dims(copy_shape(in));
py::array res = inplace ? in : py::array_t<complex<T>>(dims);
c2c(dims, copy_strides(in), copy_strides(res), axes, fwd,
reinterpret_cast<const complex<T> *>(in.data()),
reinterpret_cast<complex<T> *>(res.mutable_data()), T(fct));
reinterpret_cast<complex<T> *>(res.mutable_data()), T(fct), nthreads);
return res;
}
py::array xfftn(const py::array &a, py::object axes, double fct, bool inplace,
bool fwd)
bool fwd, size_t nthreads)
{
DISPATCH(a, c128, c64, c256, xfftn_internal, (a, makeaxes(a, axes), fct,
inplace, fwd))
inplace, fwd, nthreads))
}
py::array fftn(const py::array &a, py::object axes, double fct, bool inplace)
{ return xfftn(a, axes, fct, inplace, true); }
py::array fftn(const py::array &a, py::object axes, double fct, bool inplace, size_t nthreads)
{ return xfftn(a, axes, fct, inplace, true, nthreads); }
py::array ifftn(const py::array &a, py::object axes, double fct, bool inplace)
{ return xfftn(a, axes, fct, inplace, false); }
py::array ifftn(const py::array &a, py::object axes, double fct, bool inplace, size_t nthreads)
{ return xfftn(a, axes, fct, inplace, false, nthreads); }
template<typename T> py::array rfftn_internal(const py::array &in,
py::object axes_, T fct)
py::object axes_, T fct, size_t nthreads)
{
auto axes = makeaxes(in, axes_);
auto dims_in(copy_shape(in)), dims_out(dims_in);
......@@ -110,38 +108,38 @@ template<typename T> py::array rfftn_internal(const py::array &in,
py::array res = py::array_t<complex<T>>(dims_out);
r2c(dims_in, copy_strides(in), copy_strides(res), axes,
reinterpret_cast<const T *>(in.data()),
reinterpret_cast<complex<T> *>(res.mutable_data()), T(fct));
reinterpret_cast<complex<T> *>(res.mutable_data()), T(fct), nthreads);
return res;
}
py::array rfftn(const py::array &in, py::object axes_, double fct)
py::array rfftn(const py::array &in, py::object axes_, double fct, size_t nthreads)
{
DISPATCH(in, f64, f32, f128, rfftn_internal, (in, axes_, fct))
DISPATCH(in, f64, f32, f128, rfftn_internal, (in, axes_, fct, nthreads))
}
template<typename T> py::array xrfft_scipy(const py::array &in,
size_t axis, double fct, bool inplace, bool fwd)
size_t axis, double fct, bool inplace, bool fwd, size_t nthreads)
{
auto dims(copy_shape(in));
py::array res = inplace ? in : py::array_t<T>(dims);
r2r_fftpack(dims, copy_strides(in), copy_strides(res), axis, fwd,
reinterpret_cast<const T *>(in.data()),
reinterpret_cast<T *>(res.mutable_data()), T(fct));
reinterpret_cast<T *>(res.mutable_data()), T(fct), nthreads);
return res;
}
py::array rfft_scipy(const py::array &in, size_t axis, double fct, bool inplace)
py::array rfft_scipy(const py::array &in, size_t axis, double fct, bool inplace, size_t nthreads)
{
DISPATCH(in, f64, f32, f128, xrfft_scipy, (in, axis, fct, inplace, true))
DISPATCH(in, f64, f32, f128, xrfft_scipy, (in, axis, fct, inplace, true, nthreads))
}
py::array irfft_scipy(const py::array &in, size_t axis, double fct,
bool inplace)
bool inplace, size_t nthreads)
{
DISPATCH(in, f64, f32, f128, xrfft_scipy, (in, axis, fct, inplace, false))
DISPATCH(in, f64, f32, f128, xrfft_scipy, (in, axis, fct, inplace, false, nthreads))
}
template<typename T> py::array irfftn_internal(const py::array &in,
py::object axes_, size_t lastsize, T fct)
py::object axes_, size_t lastsize, T fct, size_t nthreads)
{
auto axes = makeaxes(in, axes_);
size_t axis = axes.back();
......@@ -153,31 +151,31 @@ template<typename T> py::array irfftn_internal(const py::array &in,
py::array res = py::array_t<T>(dims_out);
c2r(dims_out, copy_strides(in), copy_strides(res), axes,
reinterpret_cast<const complex<T> *>(in.data()),
reinterpret_cast<T *>(res.mutable_data()), T(fct));
reinterpret_cast<T *>(res.mutable_data()), T(fct), nthreads);
return res;
}
py::array irfftn(const py::array &in, py::object axes_, size_t lastsize,
double fct)
double fct, size_t nthreads)
{
DISPATCH(in, c128, c64, c256, irfftn_internal, (in, axes_, lastsize, fct))
DISPATCH(in, c128, c64, c256, irfftn_internal, (in, axes_, lastsize, fct, nthreads))
}
template<typename T> py::array hartley_internal(const py::array &in,
py::object axes_, double fct, bool inplace)
py::object axes_, double fct, bool inplace, size_t nthreads)
{
auto dims(copy_shape(in));
py::array res = inplace ? in : py::array_t<T>(dims);
r2r_hartley(dims, copy_strides(in), copy_strides(res), makeaxes(in, axes_),
reinterpret_cast<const T *>(in.data()),
reinterpret_cast<T *>(res.mutable_data()), T(fct));
reinterpret_cast<T *>(res.mutable_data()), T(fct), nthreads);
return res;
}
py::array hartley(const py::array &in, py::object axes_, double fct,
bool inplace)
bool inplace, size_t nthreads)
{
DISPATCH(in, f64, f32, f128, hartley_internal, (in, axes_, fct, inplace))
DISPATCH(in, f64, f32, f128, hartley_internal, (in, axes_, fct, inplace, nthreads))
}
template<typename T>py::array complex2hartley(const py::array &in,
......@@ -230,8 +228,8 @@ py::array mycomplex2hartley(const py::array &in,
}
py::array hartley2(const py::array &in, py::object axes_, double fct,
bool inplace)
{ return mycomplex2hartley(in, rfftn(in, axes_, fct), axes_, inplace); }
bool inplace, size_t nthreads)
{ return mycomplex2hartley(in, rfftn(in, axes_, fct, nthreads), axes_, inplace); }
const char *pypocketfft_DS = R"DELIM(Fast Fourier and Hartley transforms.
......@@ -399,28 +397,26 @@ np.ndarray (same shape and data type as a)
} // unnamed namespace
#pragma GCC visibility pop
PYBIND11_MODULE(pypocketfft, m)
{
using namespace pybind11::literals;
m.doc() = pypocketfft_DS;
m.def("fftn",&fftn, fftn_DS, "a"_a, "axes"_a=py::none(), "fct"_a=1.,
"inplace"_a=false);
"inplace"_a=false, "nthreads"_a=1);
m.def("ifftn",&ifftn, ifftn_DS, "a"_a, "axes"_a=py::none(), "fct"_a=1.,
"inplace"_a=false);
m.def("rfftn",&rfftn, rfftn_DS, "a"_a, "axes"_a=py::none(), "fct"_a=1.);
"inplace"_a=false, "nthreads"_a=1);
m.def("rfftn",&rfftn, rfftn_DS, "a"_a, "axes"_a=py::none(), "fct"_a=1., "nthreads"_a=1);
m.def("rfft_scipy",&rfft_scipy, rfft_scipy_DS, "a"_a, "axis"_a, "fct"_a=1.,
"inplace"_a=false);
"inplace"_a=false, "nthreads"_a=1);
m.def("irfftn",&irfftn, irfftn_DS, "a"_a, "axes"_a=py::none(), "lastsize"_a=0,
"fct"_a=1.);
"fct"_a=1., "nthreads"_a=1);
m.def("irfft_scipy",&irfft_scipy, irfft_scipy_DS, "a"_a, "axis"_a, "fct"_a=1.,
"inplace"_a=false);
"inplace"_a=false, "nthreads"_a=1);
m.def("hartley",&hartley, hartley_DS, "a"_a, "axes"_a=py::none(), "fct"_a=1.,
"inplace"_a=false);
"inplace"_a=false, "nthreads"_a=1);
m.def("hartley2",&hartley2, "a"_a, "axes"_a=py::none(), "fct"_a=1.,
"inplace"_a=false);
"inplace"_a=false, "nthreads"_a=1);
m.def("complex2hartley",&mycomplex2hartley, "in"_a, "tmp"_a, "axes"_a,
"inplace"_a=false);
}
setup.py
View file @ 2970b68c
......@@ -63,10 +63,11 @@ if sys.platform == 'darwin':
builder = setuptools.command.build_ext.build_ext(Distribution())
base_library_link_args.append('-dynamiclib')
else:
extra_compile_args += ['-march=native', '-O3', '-Wfatal-errors', '-Wno-ignored-attributes']
extra_compile_args += ['-march=native', '-O3', '-Wfatal-errors', '-Wno-ignored-attributes', '-DPOCKETFFT_OPENMP', '-fopenmp']
python_module_link_args += ['-march=native']
extra_cc_compile_args.append('--std=c++11')
python_module_link_args.append("-Wl,-rpath,$ORIGIN")
python_module_link_args.append('-fopenmp')
extra_cc_compile_args = extra_compile_args + extra_cc_compile_args
......
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