Revert: Removed build files / old python wrapper
This commit is contained in:
Philippe Tillet
@@ -58,7 +58,7 @@ def main():
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'${CUDA_INCLUDE_DIRS}']
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LIBRARY_DIRS = ['${CMAKE_BINARY_DIR}/lib']
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src = [os.path.join('${CMAKE_CURRENT_SOURCE_DIR}', 'src', sf) for sf in ['_isaac.cpp', 'driver.cpp', 'model.cpp', 'core.cpp']]
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src = [os.path.join('${CMAKE_CURRENT_SOURCE_DIR}', 'src', sf) for sf in ['_isaac.cpp']]
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boostsrc = '${CMAKE_CURRENT_SOURCE_DIR}/external/boost/libs/'
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for s in ['numpy','python','smart_ptr','system','thread']:
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@@ -81,7 +81,7 @@ def main():
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author_email='ptillet@g.harvard.edu',
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license='MPL 2.0',
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packages=["isaac"],
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#package_dir={ '': '${CMAKE_CURRENT_BINARY_DIR}' },
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package_dir={ '': '${CMAKE_CURRENT_BINARY_DIR}' },
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ext_package="isaac",
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ext_modules=[Extension(
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'_isaac',src,
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@@ -1,22 +1,687 @@
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#include <boost/python.hpp>
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#include <boost/numpy.hpp>
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#include "driver.h"
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#include "core.h"
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#include "model.h"
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#include <list>
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#include <functional>
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#include <boost/python.hpp>
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#include <boost/python/suite/indexing/vector_indexing_suite.hpp>
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#include <boost/python/suite/indexing/map_indexing_suite.hpp>
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#include <boost/numpy.hpp>
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#include <boost/numpy/dtype.hpp>
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#include "isaac/array.h"
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#include "isaac/backend/templates/vaxpy.h"
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#include "isaac/backend/templates/maxpy.h"
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#include "isaac/backend/templates/reduction.h"
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#include "isaac/backend/templates/mreduction.h"
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#include "isaac/backend/templates/mproduct.h"
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#include "isaac/model/model.h"
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#define MAP_ENUM(v, ns) .value(#v, ns::v)
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namespace bp = boost::python;
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namespace isc = isaac;
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namespace np = boost::numpy;
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namespace detail
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{
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isc::numeric_type to_isc_dtype(np::dtype const & T)
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{
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if(T==np::detail::get_int_dtype<8, false>()) return isc::CHAR_TYPE;
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else if(T==np::detail::get_int_dtype<8, true>()) return isc::UCHAR_TYPE;
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else if(T==np::detail::get_int_dtype<16, false>()) return isc::SHORT_TYPE;
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else if(T==np::detail::get_int_dtype<16, true>()) return isc::USHORT_TYPE;
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else if(T==np::detail::get_int_dtype<32, false>()) return isc::INT_TYPE;
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else if(T==np::detail::get_int_dtype<32, true>()) return isc::UINT_TYPE;
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else if(T==np::detail::get_int_dtype<64, false>()) return isc::LONG_TYPE;
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else if(T==np::detail::get_int_dtype<64, true>()) return isc::ULONG_TYPE;
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// else if(T==np::detail::get_float_dtype<16>()) return isc::HALF_TYPE;
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else if(T==np::detail::get_float_dtype<32>()) return isc::FLOAT_TYPE;
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else if(T==np::detail::get_float_dtype<64>()) return isc::DOUBLE_TYPE;
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else{
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PyErr_SetString(PyExc_TypeError, "Unrecognized datatype");
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bp::throw_error_already_set();
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throw; // suppress warning; throw_error_already_set() never returns but isn't marked noreturn: https://svn.boost.org/trac/boost/ticket/1482
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}
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}
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np::dtype to_np_dtype(isc::numeric_type const & T) throw()
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{
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if(T==isc::CHAR_TYPE) return np::detail::get_int_dtype<8, false>();
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else if(T==isc::UCHAR_TYPE) return np::detail::get_int_dtype<8, true>();
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else if(T==isc::SHORT_TYPE) return np::detail::get_int_dtype<16, false>();
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else if(T==isc::USHORT_TYPE) return np::detail::get_int_dtype<16, true>();
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else if(T==isc::INT_TYPE) return np::detail::get_int_dtype<32, false>();
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else if(T==isc::UINT_TYPE) return np::detail::get_int_dtype<32, true>();
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else if(T==isc::LONG_TYPE) return np::detail::get_int_dtype<64, false>();
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else if(T==isc::ULONG_TYPE) return np::detail::get_int_dtype<64, true>();
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// else if(T==isc::HALF_TYPE) return np::detail::get_float_dtype<16>();
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else if(T==isc::FLOAT_TYPE) return np::detail::get_float_dtype<32>();
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else if(T==isc::DOUBLE_TYPE) return np::detail::get_float_dtype<64>();
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else{
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PyErr_SetString(PyExc_TypeError, "Unrecognized datatype");
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bp::throw_error_already_set();
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throw; // suppress warning; throw_error_already_set() never returns but isn't marked noreturn: https://svn.boost.org/trac/boost/ticket/1482
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}
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}
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bp::tuple get_shape(isc::array const & x)
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{
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return bp::make_tuple(x.shape()[0], x.shape()[1]);
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}
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//void set_shape(isc::array & x, bp::tuple const & t)
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//{
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// unsigned int len = bp::len(t);
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// isc::int_t size1 = bp::extract<isc::int_t>(t[0]);
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// isc::int_t size2 = len<2?1:bp::extract<isc::int_t>(t[1]);
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// x.reshape(size1, size2);
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//}
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//boost::python::dict create_queues(isc::cl_ext::queues_t queues)
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//{
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// boost::python::dict dictionary;
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// for (isc::cl_ext::queues_t::iterator it = queues.begin(); it != queues.end(); ++it) {
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// bp::list list;
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// for (isc::cl_ext::queues_t::mapped_type::iterator itt = it->second.begin(); itt != it->second.end(); ++itt)
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// list.append(*itt);
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// dictionary[it->first] = list;
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// }
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// return dictionary;
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//}
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template<class T>
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struct datatype : public isc::value_scalar
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{
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datatype(T t) : isc::value_scalar(t){ }
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};
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template<class T>
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unsigned int size(datatype<T> const & dt)
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{ return isc::size_of(dt.dtype()) ; }
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#define INSTANTIATE(name, clname) \
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struct name : public detail::datatype<clname> { name(clname value) : detail::datatype<clname>(value){} };
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INSTANTIATE(int8, cl_char)
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INSTANTIATE(uint8, cl_uchar)
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INSTANTIATE(int16, cl_short)
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INSTANTIATE(uint16, cl_ushort)
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INSTANTIATE(int32, cl_int)
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INSTANTIATE(uint32, cl_uint)
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INSTANTIATE(int64, cl_long)
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INSTANTIATE(uint64, cl_ulong)
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INSTANTIATE(float32, cl_float)
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INSTANTIATE(float64, cl_double)
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#undef INSTANTIATE
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}
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void export_core()
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{
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#define INSTANTIATE(name, clname) \
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bp::class_<detail::datatype<clname>, bp::bases<isc::value_scalar> >(#name, bp::init<clname>());\
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bp::class_<detail::name, bp::bases<detail::datatype<clname> > >(#name, bp::init<clname>())\
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.add_property("size", &detail::size<clname>)\
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;
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INSTANTIATE(int8, cl_char)
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INSTANTIATE(uint8, cl_uchar)
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INSTANTIATE(int16, cl_short)
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INSTANTIATE(uint16, cl_ushort)
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INSTANTIATE(int32, cl_int)
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INSTANTIATE(uint32, cl_uint)
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INSTANTIATE(int64, cl_long)
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INSTANTIATE(uint64, cl_ulong)
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INSTANTIATE(float32, cl_float)
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INSTANTIATE(float64, cl_double)
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#undef INSTANTIATE
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bp::enum_<isc::expression_type>("operations")
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MAP_ENUM(VECTOR_AXPY_TYPE, isc)
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MAP_ENUM(MATRIX_AXPY_TYPE, isc)
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MAP_ENUM(REDUCTION_TYPE, isc)
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MAP_ENUM(ROW_WISE_REDUCTION_TYPE, isc)
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MAP_ENUM(COL_WISE_REDUCTION_TYPE, isc)
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MAP_ENUM(VECTOR_AXPY_TYPE, isc)
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MAP_ENUM(VECTOR_AXPY_TYPE, isc)
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MAP_ENUM(VECTOR_AXPY_TYPE, isc)
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MAP_ENUM(VECTOR_AXPY_TYPE, isc)
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;
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}
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namespace detail
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{
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template<class IT>
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bp::list to_list(IT const & begin, IT const & end)
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{
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bp::list res;
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for (IT it = begin; it != end; ++it)
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res.append(*it);
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return res;
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}
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template<class T>
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std::vector<T> to_vector(bp::list const & list)
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{
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std::size_t len = bp::len(list);
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std::vector<T> res; res.reserve(len);
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for(std::size_t i = 0 ; i < len ; ++i)
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res.push_back(boost::python::extract<T>(list[i]));
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return res;
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}
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bp::list nv_compute_capability(isc::driver::Device const & device)
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{
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bp::list res;
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std::pair<unsigned int, unsigned int> cc = device.nv_compute_capability();
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res.append(cc.first);
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res.append(cc.second);
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return res;
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}
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bp::list get_platforms()
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{
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std::vector<isc::driver::Platform> platforms(isc::driver::Platform::get());
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return to_list(platforms.begin(), platforms.end());
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}
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bp::list get_devices(isc::driver::Platform const & platform)
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{
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std::vector<isc::driver::Device> devices(platform.devices());
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return to_list(devices.begin(), devices.end());
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}
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isc::numeric_type extract_dtype(bp::object const & odtype)
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{
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std::string name = bp::extract<std::string>(odtype.attr("__class__").attr("__name__"))();
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if(name=="class")
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name = bp::extract<std::string>(odtype.attr("__name__"))();
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else
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name = bp::extract<std::string>(odtype.attr("__class__").attr("__name__"))();
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if(name=="int8") return isc::CHAR_TYPE;
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else if(name=="uint8") return isc::UCHAR_TYPE;
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else if(name=="int16") return isc::SHORT_TYPE;
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else if(name=="uint16") return isc::USHORT_TYPE;
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else if(name=="int32") return isc::INT_TYPE;
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else if(name=="uint32") return isc::UINT_TYPE;
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else if(name=="int64") return isc::LONG_TYPE;
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else if(name=="uint64") return isc::ULONG_TYPE;
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else if(name=="float32") return isc::FLOAT_TYPE;
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else if(name=="float64") return isc::DOUBLE_TYPE;
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else
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{
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PyErr_SetString(PyExc_TypeError, "Data type not understood");
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bp::throw_error_already_set();
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throw;
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}
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}
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isc::expression_type extract_template_type(bp::object const & odtype)
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{
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std::string name = bp::extract<std::string>(odtype.attr("__class__").attr("__name__"))();
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if(name=="class")
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name = bp::extract<std::string>(odtype.attr("__name__"))();
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else
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name = bp::extract<std::string>(odtype.attr("__class__").attr("__name__"))();
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if(name=="vaxpy") return isc::VECTOR_AXPY_TYPE;
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else if(name=="maxpy") return isc::MATRIX_AXPY_TYPE;
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else if(name=="reduction") return isc::REDUCTION_TYPE;
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else if(name=="mreduction_rows") return isc::ROW_WISE_REDUCTION_TYPE;
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else if(name=="mreduction_cols") return isc::COL_WISE_REDUCTION_TYPE;
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else if(name=="mproduct_nn") return isc::MATRIX_PRODUCT_NN_TYPE;
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else if(name=="mproduct_tn") return isc::MATRIX_PRODUCT_TN_TYPE;
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else if(name=="mproduct_nt") return isc::MATRIX_PRODUCT_NT_TYPE;
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else if(name=="mproduct_tt") return isc::MATRIX_PRODUCT_TT_TYPE;
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else
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{
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PyErr_SetString(PyExc_TypeError, "Template type not understood");
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bp::throw_error_already_set();
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throw;
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}
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}
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struct model_map_indexing
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{
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static isc::model& get_item(isc::model_map_t& container, bp::tuple i_)
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{
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isc::expression_type expression = extract_template_type(i_[0]);
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isc::numeric_type dtype = extract_dtype(i_[1]);
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isc::model_map_t::iterator i = container.find(std::make_pair(expression, dtype));
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if (i == container.end())
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{
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PyErr_SetString(PyExc_KeyError, "Invalid key");
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bp::throw_error_already_set();
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}
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return *i->second;
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}
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static void set_item(isc::model_map_t& container, bp::tuple i_, isc::model const & v)
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{
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isc::expression_type expression = extract_template_type(i_[0]);
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isc::numeric_type dtype = extract_dtype(i_[1]);
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container[std::make_pair(expression, dtype)].reset(new isc::model(v));
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}
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};
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std::string to_string(isc::driver::device_type type)
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{
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if(type==isc::driver::DEVICE_TYPE_CPU) return "CPU";
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if(type==isc::driver::DEVICE_TYPE_GPU) return "GPU";
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if(type==isc::driver::DEVICE_TYPE_ACCELERATOR) return "ACCELERATOR";
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throw;
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}
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std::shared_ptr<isc::driver::Context> make_context(isc::driver::Device const & dev)
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{ return std::shared_ptr<isc::driver::Context>(new isc::driver::Context(dev)); }
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bp::tuple flush(isc::array_expression const & expression, unsigned int queue_id, bp::list dependencies, bool tune, int label, std::string const & program_name, bool force_recompile)
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{
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std::list<isc::driver::Event> events;
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std::vector<isc::driver::Event> cdependencies = to_vector<isc::driver::Event>(dependencies);
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std::shared_ptr<isc::array> parray(new isc::array(isc::control(expression,
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isc::execution_options_type(queue_id, &events, &cdependencies),
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isc::dispatcher_options_type(tune, label),
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isc::compilation_options_type(program_name, force_recompile))));
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return bp::make_tuple(parray, to_list(events.begin(), events.end()));
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}
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}
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struct state_type{ };
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state_type state;
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void export_cl()
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{
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typedef std::vector<isc::driver::CommandQueue> queues_t;
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bp::class_<queues_t>("queues")
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.def("__len__", &queues_t::size)
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.def("__getitem__", &bp::vector_indexing_suite<queues_t>::get_item, bp::return_internal_reference<>())
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.def("__setitem__", &bp::vector_indexing_suite<queues_t>::set_item, bp::with_custodian_and_ward<1,2>())
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.def("append", &bp::vector_indexing_suite<queues_t>::append)
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;
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bp::class_<isc::model_map_t>("models")
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.def("__getitem__", &detail::model_map_indexing::get_item, bp::return_internal_reference<>())
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.def("__setitem__", &detail::model_map_indexing::set_item, bp::with_custodian_and_ward<1,2>())
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;
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bp::enum_<isc::driver::backend_type>
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("backend_type")
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.value("OPENCL", isc::driver::OPENCL)
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#ifdef ISAAC_WITH_CUDA
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.value("CUDA", isc::driver::CUDA)
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#endif
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;
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bp::enum_<isc::driver::device_type>
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("device_type")
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.value("DEVICE_TYPE_GPU", isc::driver::DEVICE_TYPE_GPU)
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.value("DEVICE_TYPE_CPU", isc::driver::DEVICE_TYPE_CPU)
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;
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|
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|
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bp::class_<isc::driver::Platform>("platform", bp::no_init)
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.def("get_devices", &detail::get_devices)
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.add_property("name",&isc::driver::Platform::name)
|
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;
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bp::enum_<isaac::driver::Device::VENDOR>
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("vendor")
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.value("AMD", isc::driver::Device::AMD)
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.value("INTEL", isc::driver::Device::INTEL)
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.value("NVIDIA", isc::driver::Device::NVIDIA)
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.value("UNKNOWN", isc::driver::Device::UNKNOWN)
|
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;
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bp::class_<isc::driver::Device>("device", bp::no_init)
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.add_property("clock_rate", &isc::driver::Device::clock_rate)
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.add_property("name", &isc::driver::Device::name)
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.add_property("type", &isc::driver::Device::type)
|
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.add_property("platform", &isc::driver::Device::platform)
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.add_property("vendor", &isc::driver::Device::vendor)
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.add_property("nv_compute_capability", &detail::nv_compute_capability)
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;
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bp::class_<isc::driver::Context>("context", bp::no_init)
|
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.def("__init__", bp::make_constructor(&detail::make_context))
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.add_property("queues", bp::make_function(static_cast<std::vector<isc::driver::CommandQueue> & (*)(const isc::driver::Context&)>( [](const isc::driver::Context & ctx) -> std::vector<isc::driver::CommandQueue> & { return isc::driver::queues[ctx]; }) , bp::return_internal_reference<>()))
|
||||
.add_property("backend", &isc::driver::Context::backend)
|
||||
;
|
||||
|
||||
bp::class_<isc::driver::CommandQueue>("command_queue", bp::init<isc::driver::Context, isc::driver::Device>())
|
||||
.def("synchronize", &isc::driver::CommandQueue::synchronize)
|
||||
.add_property("models", bp::make_function(&isc::get_model_map, bp::return_internal_reference<>()))
|
||||
.add_property("device", bp::make_function(&isc::driver::CommandQueue::device, bp::return_internal_reference<>()))
|
||||
;
|
||||
|
||||
bp::class_<isc::driver::Event>("event", bp::init<isc::driver::backend_type>())
|
||||
.add_property("elapsed_time", &isc::driver::Event::elapsed_time)
|
||||
;
|
||||
|
||||
bp::def("device_type_to_string", &detail::to_string);
|
||||
|
||||
bp::def("get_platforms", &detail::get_platforms);
|
||||
|
||||
bp::def("flush", &detail::flush, (bp::arg("expression"), bp::arg("queue_id") = 0, bp::arg("dependencies")=bp::list(), bp::arg("tune") = false, bp::arg("label")=-1, bp::arg("program_name")="", bp::arg("recompile") = false));
|
||||
|
||||
bp::class_<state_type>("state_type")
|
||||
.def_readwrite("queue_properties",&isc::driver::queues.queue_properties)
|
||||
;
|
||||
|
||||
bp::scope().attr("state") = bp::object(bp::ptr(&state));
|
||||
|
||||
bp::scope().attr("CL_QUEUE_PROFILING_ENABLE") = CL_QUEUE_PROFILING_ENABLE;
|
||||
bp::scope().attr("CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE") = CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE;
|
||||
}
|
||||
|
||||
namespace detail
|
||||
{
|
||||
std::shared_ptr<isc::array>
|
||||
ndarray_to_iscarray(const np::ndarray& array, const isc::driver::Context& ctx)
|
||||
{
|
||||
|
||||
int d = array.get_nd();
|
||||
if (d > 2) {
|
||||
PyErr_SetString(PyExc_TypeError, "Only 1-D and 2-D arrays are supported!");
|
||||
bp::throw_error_already_set();
|
||||
}
|
||||
|
||||
isc::numeric_type dtype = to_isc_dtype(array.get_dtype());
|
||||
isc::int_t size = (isc::int_t)array.shape(0);
|
||||
isc::array* v = new isc::array(size, dtype, ctx);
|
||||
|
||||
void* data = (void*)array.get_data();
|
||||
isc::copy(data, *v);
|
||||
|
||||
return std::shared_ptr<isc::array>(v);
|
||||
}
|
||||
|
||||
|
||||
|
||||
std::shared_ptr<isc::array> create_array(bp::object const & obj, bp::object odtype, isc::driver::Context context)
|
||||
{
|
||||
return ndarray_to_iscarray(np::from_object(obj, to_np_dtype(extract_dtype(odtype))), context);
|
||||
}
|
||||
|
||||
std::shared_ptr<isc::array> create_empty_array(bp::object sizes, bp::object odtype, isc::driver::Context context)
|
||||
{
|
||||
typedef std::shared_ptr<isc::array> result_type;
|
||||
|
||||
std::size_t len;
|
||||
int size1;
|
||||
int size2;
|
||||
try{
|
||||
len = bp::len(sizes);
|
||||
size1 = bp::extract<int>(sizes[0])();
|
||||
size2 = bp::extract<int>(sizes[1])();
|
||||
}catch(bp::error_already_set const &){
|
||||
PyErr_Clear();
|
||||
len = 1;
|
||||
size1 = bp::extract<int>(sizes)();
|
||||
}
|
||||
|
||||
isc::numeric_type dtype = extract_dtype(odtype);
|
||||
if(len < 1 || len > 2)
|
||||
{
|
||||
PyErr_SetString(PyExc_TypeError, "Only 1-D and 2-D arrays are supported!");
|
||||
bp::throw_error_already_set();
|
||||
}
|
||||
if(len==1)
|
||||
return result_type(new isc::array(size1, dtype, context));
|
||||
return result_type(new isc::array(size1, size2, dtype, context));
|
||||
}
|
||||
|
||||
std::string type_name(bp::object const & obj)
|
||||
{
|
||||
std::string name = bp::extract<std::string>(obj.attr("__class__").attr("__name__"))();
|
||||
if(name=="class")
|
||||
return bp::extract<std::string>(obj.attr("__name__"))();
|
||||
else
|
||||
return bp::extract<std::string>(obj.attr("__class__").attr("__name__"))();
|
||||
}
|
||||
|
||||
std::shared_ptr<isc::scalar> construct_scalar(bp::object obj, isc::driver::Context const & context)
|
||||
{
|
||||
typedef std::shared_ptr<isc::scalar> result_type;
|
||||
std::string name = type_name(obj);
|
||||
if(name=="int") return result_type(new isc::scalar(bp::extract<int>(obj)(), context));
|
||||
else if(name=="float") return result_type(new isc::scalar(bp::extract<double>(obj)(), context));
|
||||
else if(name=="long") return result_type(new isc::scalar(bp::extract<long>(obj)(), context));
|
||||
else if(name=="int") return result_type(new isc::scalar(bp::extract<int>(obj)(), context));
|
||||
|
||||
else if(name=="int8") return result_type(new isc::scalar(isc::CHAR_TYPE, context));
|
||||
else if(name=="uint8") return result_type(new isc::scalar(isc::UCHAR_TYPE, context));
|
||||
else if(name=="int16") return result_type(new isc::scalar(isc::SHORT_TYPE, context));
|
||||
else if(name=="uint16") return result_type(new isc::scalar(isc::USHORT_TYPE, context));
|
||||
else if(name=="int32") return result_type(new isc::scalar(isc::INT_TYPE, context));
|
||||
else if(name=="uint32") return result_type(new isc::scalar(isc::UINT_TYPE, context));
|
||||
else if(name=="int64") return result_type(new isc::scalar(isc::LONG_TYPE, context));
|
||||
else if(name=="uint64") return result_type(new isc::scalar(isc::ULONG_TYPE, context));
|
||||
else if(name=="float32") return result_type(new isc::scalar(isc::FLOAT_TYPE, context));
|
||||
else if(name=="float64") return result_type(new isc::scalar(isc::DOUBLE_TYPE, context));
|
||||
else{
|
||||
PyErr_SetString(PyExc_TypeError, "Data type not understood");
|
||||
bp::throw_error_already_set();
|
||||
throw;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
void export_array()
|
||||
{
|
||||
#define ADD_SCALAR_HANDLING(OP)\
|
||||
.def(bp::self OP int())\
|
||||
.def(bp::self OP long())\
|
||||
.def(bp::self OP double())\
|
||||
.def(bp::self OP bp::other<isc::value_scalar>())\
|
||||
.def(int() OP bp::self)\
|
||||
.def(long() OP bp::self)\
|
||||
.def(double() OP bp::self)\
|
||||
.def(bp::other<isc::value_scalar>() OP bp::self)
|
||||
|
||||
#define ADD_ARRAY_OPERATOR(OP)\
|
||||
.def(bp::self OP bp::self)\
|
||||
ADD_SCALAR_HANDLING(OP)
|
||||
|
||||
bp::class_<isc::expressions_tuple>
|
||||
("array_expression_container", bp::init<isc::array_expression const &>())
|
||||
;
|
||||
|
||||
bp::class_<isc::array_expression >("array_expression", bp::no_init)
|
||||
ADD_ARRAY_OPERATOR(+)
|
||||
ADD_ARRAY_OPERATOR(-)
|
||||
ADD_ARRAY_OPERATOR(*)
|
||||
ADD_ARRAY_OPERATOR(/)
|
||||
ADD_ARRAY_OPERATOR(>)
|
||||
ADD_ARRAY_OPERATOR(>=)
|
||||
ADD_ARRAY_OPERATOR(<)
|
||||
ADD_ARRAY_OPERATOR(<=)
|
||||
ADD_ARRAY_OPERATOR(==)
|
||||
ADD_ARRAY_OPERATOR(!=)
|
||||
.add_property("context", bp::make_function(&isc::array_expression::context, bp::return_internal_reference<>()))
|
||||
.def(bp::self_ns::abs(bp::self))
|
||||
// .def(bp::self_ns::pow(bp::self))
|
||||
;
|
||||
#undef ADD_ARRAY_OPERATOR
|
||||
|
||||
#define ADD_ARRAY_OPERATOR(OP) \
|
||||
.def(bp::self OP bp::self)\
|
||||
.def(bp::self OP bp::other<isc::array_expression>())\
|
||||
.def(bp::other<isc::array_expression>() OP bp::self) \
|
||||
ADD_SCALAR_HANDLING(OP)
|
||||
|
||||
bp::class_<isc::array,
|
||||
std::shared_ptr<isc::array> >
|
||||
( "array", bp::no_init)
|
||||
.def("__init__", bp::make_constructor(detail::create_array, bp::default_call_policies(), (bp::arg("obj"), bp::arg("dtype") = bp::scope().attr("float32"), bp::arg("context")=isc::driver::queues.default_context())))
|
||||
.def(bp::init<isc::array_expression>())
|
||||
.add_property("dtype", &isc::array::dtype)
|
||||
.add_property("context", bp::make_function(&isc::array::context, bp::return_internal_reference<>()))
|
||||
.add_property("T", &isc::array::T)
|
||||
.add_property("shape", &detail::get_shape)
|
||||
ADD_ARRAY_OPERATOR(+)
|
||||
ADD_ARRAY_OPERATOR(-)
|
||||
ADD_ARRAY_OPERATOR(*)
|
||||
ADD_ARRAY_OPERATOR(/)
|
||||
ADD_ARRAY_OPERATOR(>)
|
||||
ADD_ARRAY_OPERATOR(>=)
|
||||
ADD_ARRAY_OPERATOR(<)
|
||||
ADD_ARRAY_OPERATOR(<=)
|
||||
ADD_ARRAY_OPERATOR(==)
|
||||
ADD_ARRAY_OPERATOR(!=)
|
||||
.def(bp::self_ns::abs(bp::self))
|
||||
// .def(bp::self_ns::pow(bp::self))
|
||||
.def(bp::self_ns::str(bp::self_ns::self))
|
||||
;
|
||||
|
||||
bp::class_<isc::scalar, bp::bases<isc::array> >
|
||||
("scalar", bp::no_init)
|
||||
.def("__init__", bp::make_constructor(detail::construct_scalar, bp::default_call_policies(), (bp::arg(""), bp::arg("context")=isc::driver::queues.default_context())))
|
||||
;
|
||||
|
||||
//Other numpy-like initializers
|
||||
bp::def("empty", &detail::create_empty_array, (bp::arg("shape"), bp::arg("dtype") = bp::scope().attr("float32"), bp::arg("context")=isc::driver::queues.default_context()));
|
||||
|
||||
//Binary
|
||||
#define MAP_FUNCTION(name) \
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array const &, isc::array const &)>(&isc::name));\
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array_expression const &, isc::array const &)>(&isc::name));\
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array const &, isc::array_expression const &)>(&isc::name));\
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array_expression const &, isc::array_expression const &)>(&isc::name));
|
||||
|
||||
MAP_FUNCTION(maximum)
|
||||
MAP_FUNCTION(minimum)
|
||||
MAP_FUNCTION(pow)
|
||||
MAP_FUNCTION(dot)
|
||||
#undef MAP_FUNCTION
|
||||
|
||||
//Unary
|
||||
#define MAP_FUNCTION(name) \
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array const &)>(&isc::name));\
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array_expression const &)>(&isc::name));
|
||||
|
||||
MAP_FUNCTION(abs)
|
||||
MAP_FUNCTION(acos)
|
||||
MAP_FUNCTION(asin)
|
||||
MAP_FUNCTION(atan)
|
||||
MAP_FUNCTION(ceil)
|
||||
MAP_FUNCTION(cos)
|
||||
MAP_FUNCTION(cosh)
|
||||
MAP_FUNCTION(exp)
|
||||
MAP_FUNCTION(floor)
|
||||
MAP_FUNCTION(log)
|
||||
MAP_FUNCTION(log10)
|
||||
MAP_FUNCTION(sin)
|
||||
MAP_FUNCTION(sinh)
|
||||
MAP_FUNCTION(sqrt)
|
||||
MAP_FUNCTION(tan)
|
||||
MAP_FUNCTION(tanh)
|
||||
#undef MAP_FUNCTION
|
||||
|
||||
/*--- Reduction operators----*/
|
||||
//---------------------------------------
|
||||
#define MAP_FUNCTION(name) \
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array const &, isc::int_t)>(&isc::name));\
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array_expression const &, isc::int_t)>(&isc::name));
|
||||
|
||||
MAP_FUNCTION(sum)
|
||||
MAP_FUNCTION(max)
|
||||
MAP_FUNCTION(min)
|
||||
MAP_FUNCTION(argmax)
|
||||
MAP_FUNCTION(argmin)
|
||||
#undef MAP_FUNCTION
|
||||
}
|
||||
|
||||
void export_scalar()
|
||||
{
|
||||
bp::class_<isc::value_scalar>("value_scalar", bp::no_init)
|
||||
.add_property("dtype", &isc::value_scalar::dtype);
|
||||
}
|
||||
|
||||
|
||||
namespace detail
|
||||
{
|
||||
bp::list input_sizes(isaac::base & temp, isc::expressions_tuple const & tree)
|
||||
{
|
||||
std::vector<int> tmp = temp.input_sizes(tree);
|
||||
return detail::to_list(tmp.begin(), tmp.end());
|
||||
}
|
||||
|
||||
std::shared_ptr<isc::model> construct_model(bp::object dtype, bp::object const & tp, isc::driver::CommandQueue & queue)
|
||||
{
|
||||
return std::shared_ptr<isc::model>(new isc::model(extract_template_type(tp), extract_dtype(dtype), (isc::base const &)bp::extract<isc::base>(tp), queue));
|
||||
}
|
||||
}
|
||||
|
||||
void export_model()
|
||||
{
|
||||
|
||||
bp::class_<isaac::model>("model", bp::no_init)
|
||||
.def("__init__", bp::make_constructor(detail::construct_model))
|
||||
.def("execute", &isc::model::execute);
|
||||
|
||||
bp::enum_<isaac::fetching_policy_type>
|
||||
("fetching_policy_type")
|
||||
.value("FETCH_FROM_LOCAL", isc::FETCH_FROM_LOCAL)
|
||||
.value("FETCH_FROM_GLOBAL_STRIDED", isc::FETCH_FROM_GLOBAL_STRIDED)
|
||||
.value("FETCH_FROM_GLOBAL_CONTIGUOUS", isc::FETCH_FROM_GLOBAL_CONTIGUOUS)
|
||||
;
|
||||
|
||||
//Base
|
||||
{
|
||||
#define __PROP(name) .def_readonly(#name, &isaac::base::parameters_type::name)
|
||||
bp::class_<isaac::base, boost::noncopyable>("base", bp::no_init)
|
||||
.def("lmem_usage", &isaac::base::lmem_usage)
|
||||
.def("registers_usage", &isaac::base::registers_usage)
|
||||
.def("is_invalid", &isaac::base::is_invalid)
|
||||
.def("input_sizes", &detail::input_sizes)
|
||||
;
|
||||
#undef __PROP
|
||||
}
|
||||
|
||||
#define WRAP_BASE(name) bp::class_<isaac::base_impl<isaac::name, isaac::name::parameters_type>, bp::bases<isaac::base>, boost::noncopyable>(#name "_base_impl", bp::no_init);
|
||||
#define WRAP_TEMPLATE(name, basename, ...) bp::class_<isaac::name, bp::bases<isaac::base_impl<isaac::basename, isaac::basename::parameters_type> > >(#name, bp::init<__VA_ARGS__>())\
|
||||
.add_property("local_size_0", &isc::name::local_size_0)\
|
||||
.add_property("local_size_1", &isc::name::local_size_1);
|
||||
#define WRAP_SINGLE_TEMPLATE(name, ...) WRAP_BASE(name) WRAP_TEMPLATE(name, name, __VA_ARGS__)
|
||||
|
||||
//Vector AXPY
|
||||
WRAP_SINGLE_TEMPLATE(vaxpy, uint, uint, uint, isaac::fetching_policy_type)
|
||||
WRAP_SINGLE_TEMPLATE(maxpy, uint, uint, uint, uint, uint, isaac::fetching_policy_type)
|
||||
WRAP_SINGLE_TEMPLATE(reduction, uint, uint, uint, isaac::fetching_policy_type)
|
||||
WRAP_BASE(mreduction)
|
||||
WRAP_TEMPLATE(mreduction_rows, mreduction, uint, uint, uint, uint, uint, isaac::fetching_policy_type)
|
||||
WRAP_TEMPLATE(mreduction_cols, mreduction, uint, uint, uint, uint, uint, isaac::fetching_policy_type)
|
||||
WRAP_BASE(mproduct)
|
||||
WRAP_TEMPLATE(mproduct_nn, mproduct, uint, uint, uint, uint, uint, uint, uint, uint, isaac::fetching_policy_type, isaac::fetching_policy_type, uint, uint)
|
||||
WRAP_TEMPLATE(mproduct_tn, mproduct, uint, uint, uint, uint, uint, uint, uint, uint, isaac::fetching_policy_type, isaac::fetching_policy_type, uint, uint)
|
||||
WRAP_TEMPLATE(mproduct_nt, mproduct, uint, uint, uint, uint, uint, uint, uint, uint, isaac::fetching_policy_type, isaac::fetching_policy_type, uint, uint)
|
||||
WRAP_TEMPLATE(mproduct_tt, mproduct, uint, uint, uint, uint, uint, uint, uint, uint, isaac::fetching_policy_type, isaac::fetching_policy_type, uint, uint)
|
||||
|
||||
|
||||
}
|
||||
|
||||
BOOST_PYTHON_MODULE(_isaac)
|
||||
{
|
||||
Py_Initialize();
|
||||
boost::numpy::initialize();
|
||||
np::initialize();
|
||||
|
||||
// specify that this module is actually a package
|
||||
bp::object package = bp::scope();
|
||||
package.attr("__path__") = "_isaac";
|
||||
|
||||
export_scalar();
|
||||
export_core();
|
||||
export_driver();
|
||||
export_cl();
|
||||
export_model();
|
||||
export_array();
|
||||
}
|
||||
|
||||
@@ -1,131 +0,0 @@
|
||||
#ifndef PYTHON_ISAAC_SRC_COMMON_HPP
|
||||
#define PYTHON_ISAAC_SRC_COMMON_HPP
|
||||
|
||||
#include <boost/python.hpp>
|
||||
#include <boost/numpy.hpp>
|
||||
#include <boost/numpy/dtype.hpp>
|
||||
|
||||
#include "isaac/array.h"
|
||||
|
||||
#define MAP_ENUM(v, ns) .value(#v, ns::v)
|
||||
|
||||
namespace bp = boost::python;
|
||||
namespace np = boost::numpy;
|
||||
namespace isc = isaac;
|
||||
|
||||
namespace detail
|
||||
{
|
||||
template<class IT>
|
||||
bp::list to_list(IT const & begin, IT const & end)
|
||||
{
|
||||
bp::list res;
|
||||
for (IT it = begin; it != end; ++it)
|
||||
res.append(*it);
|
||||
return res;
|
||||
}
|
||||
|
||||
template<class T>
|
||||
std::vector<T> to_vector(bp::list const & list)
|
||||
{
|
||||
std::size_t len = bp::len(list);
|
||||
std::vector<T> res; res.reserve(len);
|
||||
for(std::size_t i = 0 ; i < len ; ++i)
|
||||
res.push_back(boost::python::extract<T>(list[i]));
|
||||
return res;
|
||||
}
|
||||
|
||||
inline isc::numeric_type extract_dtype(bp::object const & odtype)
|
||||
{
|
||||
std::string name = bp::extract<std::string>(odtype.attr("__class__").attr("__name__"))();
|
||||
if(name=="class")
|
||||
name = bp::extract<std::string>(odtype.attr("__name__"))();
|
||||
else
|
||||
name = bp::extract<std::string>(odtype.attr("__class__").attr("__name__"))();
|
||||
|
||||
if(name=="int8") return isc::CHAR_TYPE;
|
||||
else if(name=="uint8") return isc::UCHAR_TYPE;
|
||||
else if(name=="int16") return isc::SHORT_TYPE;
|
||||
else if(name=="uint16") return isc::USHORT_TYPE;
|
||||
else if(name=="int32") return isc::INT_TYPE;
|
||||
else if(name=="uint32") return isc::UINT_TYPE;
|
||||
else if(name=="int64") return isc::LONG_TYPE;
|
||||
else if(name=="uint64") return isc::ULONG_TYPE;
|
||||
else if(name=="float32") return isc::FLOAT_TYPE;
|
||||
else if(name=="float64") return isc::DOUBLE_TYPE;
|
||||
else
|
||||
{
|
||||
PyErr_SetString(PyExc_TypeError, "Data type not understood");
|
||||
bp::throw_error_already_set();
|
||||
throw;
|
||||
}
|
||||
}
|
||||
|
||||
inline isc::expression_type extract_template_type(bp::object const & odtype)
|
||||
{
|
||||
std::string name = bp::extract<std::string>(odtype.attr("__class__").attr("__name__"))();
|
||||
if(name=="class")
|
||||
name = bp::extract<std::string>(odtype.attr("__name__"))();
|
||||
else
|
||||
name = bp::extract<std::string>(odtype.attr("__class__").attr("__name__"))();
|
||||
|
||||
if(name=="vaxpy") return isc::VECTOR_AXPY_TYPE;
|
||||
else if(name=="maxpy") return isc::MATRIX_AXPY_TYPE;
|
||||
else if(name=="reduction") return isc::REDUCTION_TYPE;
|
||||
else if(name=="mreduction_rows") return isc::ROW_WISE_REDUCTION_TYPE;
|
||||
else if(name=="mreduction_cols") return isc::COL_WISE_REDUCTION_TYPE;
|
||||
else if(name=="mproduct_nn") return isc::MATRIX_PRODUCT_NN_TYPE;
|
||||
else if(name=="mproduct_tn") return isc::MATRIX_PRODUCT_TN_TYPE;
|
||||
else if(name=="mproduct_nt") return isc::MATRIX_PRODUCT_NT_TYPE;
|
||||
else if(name=="mproduct_tt") return isc::MATRIX_PRODUCT_TT_TYPE;
|
||||
else
|
||||
{
|
||||
PyErr_SetString(PyExc_TypeError, "Template type not understood");
|
||||
bp::throw_error_already_set();
|
||||
throw;
|
||||
}
|
||||
}
|
||||
|
||||
inline isc::numeric_type to_isc_dtype(np::dtype const & T)
|
||||
{
|
||||
if(T==np::detail::get_int_dtype<8, false>()) return isc::CHAR_TYPE;
|
||||
else if(T==np::detail::get_int_dtype<8, true>()) return isc::UCHAR_TYPE;
|
||||
else if(T==np::detail::get_int_dtype<16, false>()) return isc::SHORT_TYPE;
|
||||
else if(T==np::detail::get_int_dtype<16, true>()) return isc::USHORT_TYPE;
|
||||
else if(T==np::detail::get_int_dtype<32, false>()) return isc::INT_TYPE;
|
||||
else if(T==np::detail::get_int_dtype<32, true>()) return isc::UINT_TYPE;
|
||||
else if(T==np::detail::get_int_dtype<64, false>()) return isc::LONG_TYPE;
|
||||
else if(T==np::detail::get_int_dtype<64, true>()) return isc::ULONG_TYPE;
|
||||
// else if(T==np::detail::get_float_dtype<16>()) return isc::HALF_TYPE;
|
||||
else if(T==np::detail::get_float_dtype<32>()) return isc::FLOAT_TYPE;
|
||||
else if(T==np::detail::get_float_dtype<64>()) return isc::DOUBLE_TYPE;
|
||||
else{
|
||||
PyErr_SetString(PyExc_TypeError, "Unrecognized datatype");
|
||||
bp::throw_error_already_set();
|
||||
throw; // suppress warning; throw_error_already_set() never returns but isn't marked noreturn: https://svn.boost.org/trac/boost/ticket/1482
|
||||
}
|
||||
}
|
||||
|
||||
inline np::dtype to_np_dtype(isc::numeric_type const & T) throw()
|
||||
{
|
||||
if(T==isc::CHAR_TYPE) return np::detail::get_int_dtype<8, false>();
|
||||
else if(T==isc::UCHAR_TYPE) return np::detail::get_int_dtype<8, true>();
|
||||
else if(T==isc::SHORT_TYPE) return np::detail::get_int_dtype<16, false>();
|
||||
else if(T==isc::USHORT_TYPE) return np::detail::get_int_dtype<16, true>();
|
||||
else if(T==isc::INT_TYPE) return np::detail::get_int_dtype<32, false>();
|
||||
else if(T==isc::UINT_TYPE) return np::detail::get_int_dtype<32, true>();
|
||||
else if(T==isc::LONG_TYPE) return np::detail::get_int_dtype<64, false>();
|
||||
else if(T==isc::ULONG_TYPE) return np::detail::get_int_dtype<64, true>();
|
||||
// else if(T==isc::HALF_TYPE) return np::detail::get_float_dtype<16>();
|
||||
else if(T==isc::FLOAT_TYPE) return np::detail::get_float_dtype<32>();
|
||||
else if(T==isc::DOUBLE_TYPE) return np::detail::get_float_dtype<64>();
|
||||
else{
|
||||
PyErr_SetString(PyExc_TypeError, "Unrecognized datatype");
|
||||
bp::throw_error_already_set();
|
||||
throw; // suppress warning; throw_error_already_set() never returns but isn't marked noreturn: https://svn.boost.org/trac/boost/ticket/1482
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
||||
#endif
|
||||
@@ -1,6 +0,0 @@
|
||||
#ifndef PYthon_ISAAC_SRC_CORE_H
|
||||
#define PYthon_ISAAC_SRC_CORE_H
|
||||
|
||||
void export_core();
|
||||
|
||||
#endif
|
||||
@@ -1,296 +0,0 @@
|
||||
#include "core.h"
|
||||
#include "common.hpp"
|
||||
|
||||
std::shared_ptr<isc::array>
|
||||
ndarray_to_iscarray(const np::ndarray& array, const isc::driver::Context& ctx)
|
||||
{
|
||||
|
||||
int d = array.get_nd();
|
||||
if (d > 2) {
|
||||
PyErr_SetString(PyExc_TypeError, "Only 1-D and 2-D arrays are supported!");
|
||||
bp::throw_error_already_set();
|
||||
}
|
||||
|
||||
isc::numeric_type dtype = detail::to_isc_dtype(array.get_dtype());
|
||||
isc::int_t size = (isc::int_t)array.shape(0);
|
||||
isc::array* v = new isc::array(size, dtype, ctx);
|
||||
|
||||
void* data = (void*)array.get_data();
|
||||
isc::copy(data, *v);
|
||||
|
||||
return std::shared_ptr<isc::array>(v);
|
||||
}
|
||||
|
||||
|
||||
|
||||
std::shared_ptr<isc::array> create_array(bp::object const & obj, bp::object odtype, isc::driver::Context context)
|
||||
{
|
||||
return ndarray_to_iscarray(np::from_object(obj, detail::to_np_dtype(detail::extract_dtype(odtype))), context);
|
||||
}
|
||||
|
||||
std::shared_ptr<isc::array> create_empty_array(bp::object sizes, bp::object odtype, isc::driver::Context context)
|
||||
{
|
||||
typedef std::shared_ptr<isc::array> result_type;
|
||||
|
||||
std::size_t len;
|
||||
int size1;
|
||||
int size2;
|
||||
try{
|
||||
len = bp::len(sizes);
|
||||
size1 = bp::extract<int>(sizes[0])();
|
||||
size2 = bp::extract<int>(sizes[1])();
|
||||
}catch(bp::error_already_set const &){
|
||||
PyErr_Clear();
|
||||
len = 1;
|
||||
size1 = bp::extract<int>(sizes)();
|
||||
}
|
||||
|
||||
isc::numeric_type dtype = detail::extract_dtype(odtype);
|
||||
if(len < 1 || len > 2)
|
||||
{
|
||||
PyErr_SetString(PyExc_TypeError, "Only 1-D and 2-D arrays are supported!");
|
||||
bp::throw_error_already_set();
|
||||
}
|
||||
if(len==1)
|
||||
return result_type(new isc::array(size1, dtype, context));
|
||||
return result_type(new isc::array(size1, size2, dtype, context));
|
||||
}
|
||||
|
||||
std::string type_name(bp::object const & obj)
|
||||
{
|
||||
std::string name = bp::extract<std::string>(obj.attr("__class__").attr("__name__"))();
|
||||
if(name=="class")
|
||||
return bp::extract<std::string>(obj.attr("__name__"))();
|
||||
else
|
||||
return bp::extract<std::string>(obj.attr("__class__").attr("__name__"))();
|
||||
}
|
||||
|
||||
std::shared_ptr<isc::scalar> construct_scalar(bp::object obj, isc::driver::Context const & context)
|
||||
{
|
||||
typedef std::shared_ptr<isc::scalar> result_type;
|
||||
std::string name = type_name(obj);
|
||||
if(name=="int") return result_type(new isc::scalar(bp::extract<int>(obj)(), context));
|
||||
else if(name=="float") return result_type(new isc::scalar(bp::extract<double>(obj)(), context));
|
||||
else if(name=="long") return result_type(new isc::scalar(bp::extract<long>(obj)(), context));
|
||||
else if(name=="int") return result_type(new isc::scalar(bp::extract<int>(obj)(), context));
|
||||
|
||||
else if(name=="int8") return result_type(new isc::scalar(isc::CHAR_TYPE, context));
|
||||
else if(name=="uint8") return result_type(new isc::scalar(isc::UCHAR_TYPE, context));
|
||||
else if(name=="int16") return result_type(new isc::scalar(isc::SHORT_TYPE, context));
|
||||
else if(name=="uint16") return result_type(new isc::scalar(isc::USHORT_TYPE, context));
|
||||
else if(name=="int32") return result_type(new isc::scalar(isc::INT_TYPE, context));
|
||||
else if(name=="uint32") return result_type(new isc::scalar(isc::UINT_TYPE, context));
|
||||
else if(name=="int64") return result_type(new isc::scalar(isc::LONG_TYPE, context));
|
||||
else if(name=="uint64") return result_type(new isc::scalar(isc::ULONG_TYPE, context));
|
||||
else if(name=="float32") return result_type(new isc::scalar(isc::FLOAT_TYPE, context));
|
||||
else if(name=="float64") return result_type(new isc::scalar(isc::DOUBLE_TYPE, context));
|
||||
else{
|
||||
PyErr_SetString(PyExc_TypeError, "Data type not understood");
|
||||
bp::throw_error_already_set();
|
||||
throw;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
bp::tuple get_shape(isc::array const & x)
|
||||
{
|
||||
return bp::make_tuple(x.shape()[0], x.shape()[1]);
|
||||
}
|
||||
|
||||
template<class T>
|
||||
struct datatype : public isc::value_scalar
|
||||
{
|
||||
datatype(T t) : isc::value_scalar(t){ }
|
||||
|
||||
};
|
||||
|
||||
template<class T>
|
||||
unsigned int size(datatype<T> const & dt)
|
||||
{ return isc::size_of(dt.dtype()) ; }
|
||||
|
||||
#define INSTANTIATE(name, clname) \
|
||||
struct name : public datatype<clname> { name(clname value) : datatype<clname>(value){} };
|
||||
INSTANTIATE(int8, cl_char)
|
||||
INSTANTIATE(uint8, cl_uchar)
|
||||
INSTANTIATE(int16, cl_short)
|
||||
INSTANTIATE(uint16, cl_ushort)
|
||||
INSTANTIATE(int32, cl_int)
|
||||
INSTANTIATE(uint32, cl_uint)
|
||||
INSTANTIATE(int64, cl_long)
|
||||
INSTANTIATE(uint64, cl_ulong)
|
||||
INSTANTIATE(float32, cl_float)
|
||||
INSTANTIATE(float64, cl_double)
|
||||
#undef INSTANTIATE
|
||||
|
||||
void export_core()
|
||||
{
|
||||
|
||||
/*-------------------
|
||||
* SCALAR
|
||||
*------------------*/
|
||||
bp::class_<isc::value_scalar>("value_scalar", bp::no_init)
|
||||
.add_property("dtype", &isc::value_scalar::dtype);
|
||||
|
||||
/*-------------------
|
||||
* TYPES
|
||||
*------------------*/
|
||||
#define INSTANTIATE(name, clname) \
|
||||
bp::class_<datatype<clname>, bp::bases<isc::value_scalar> >(#name, bp::init<clname>());\
|
||||
bp::class_<name, bp::bases<datatype<clname> > >(#name, bp::init<clname>())\
|
||||
.add_property("size", &size<clname>)\
|
||||
;
|
||||
|
||||
|
||||
INSTANTIATE(int8, cl_char)
|
||||
INSTANTIATE(uint8, cl_uchar)
|
||||
INSTANTIATE(int16, cl_short)
|
||||
INSTANTIATE(uint16, cl_ushort)
|
||||
INSTANTIATE(int32, cl_int)
|
||||
INSTANTIATE(uint32, cl_uint)
|
||||
INSTANTIATE(int64, cl_long)
|
||||
INSTANTIATE(uint64, cl_ulong)
|
||||
INSTANTIATE(float32, cl_float)
|
||||
INSTANTIATE(float64, cl_double)
|
||||
#undef INSTANTIATE
|
||||
|
||||
bp::enum_<isc::expression_type>("operations")
|
||||
MAP_ENUM(VECTOR_AXPY_TYPE, isc)
|
||||
MAP_ENUM(MATRIX_AXPY_TYPE, isc)
|
||||
MAP_ENUM(REDUCTION_TYPE, isc)
|
||||
MAP_ENUM(ROW_WISE_REDUCTION_TYPE, isc)
|
||||
MAP_ENUM(COL_WISE_REDUCTION_TYPE, isc)
|
||||
MAP_ENUM(VECTOR_AXPY_TYPE, isc)
|
||||
MAP_ENUM(VECTOR_AXPY_TYPE, isc)
|
||||
MAP_ENUM(VECTOR_AXPY_TYPE, isc)
|
||||
MAP_ENUM(VECTOR_AXPY_TYPE, isc)
|
||||
;
|
||||
|
||||
/*-------------------
|
||||
* ARRAY
|
||||
*------------------*/
|
||||
#define ADD_SCALAR_HANDLING(OP)\
|
||||
.def(bp::self OP int())\
|
||||
.def(bp::self OP long())\
|
||||
.def(bp::self OP double())\
|
||||
.def(bp::self OP bp::other<isc::value_scalar>())\
|
||||
.def(int() OP bp::self)\
|
||||
.def(long() OP bp::self)\
|
||||
.def(double() OP bp::self)\
|
||||
.def(bp::other<isc::value_scalar>() OP bp::self)
|
||||
|
||||
#define ADD_ARRAY_OPERATOR(OP)\
|
||||
.def(bp::self OP bp::self)\
|
||||
ADD_SCALAR_HANDLING(OP)
|
||||
|
||||
bp::class_<isc::expressions_tuple>
|
||||
("array_expression_container", bp::init<isc::array_expression const &>())
|
||||
;
|
||||
|
||||
bp::class_<isc::array_expression >("array_expression", bp::no_init)
|
||||
ADD_ARRAY_OPERATOR(+)
|
||||
ADD_ARRAY_OPERATOR(-)
|
||||
ADD_ARRAY_OPERATOR(*)
|
||||
ADD_ARRAY_OPERATOR(/)
|
||||
ADD_ARRAY_OPERATOR(>)
|
||||
ADD_ARRAY_OPERATOR(>=)
|
||||
ADD_ARRAY_OPERATOR(<)
|
||||
ADD_ARRAY_OPERATOR(<=)
|
||||
ADD_ARRAY_OPERATOR(==)
|
||||
ADD_ARRAY_OPERATOR(!=)
|
||||
.add_property("context", bp::make_function(&isc::array_expression::context, bp::return_internal_reference<>()))
|
||||
.def(bp::self_ns::abs(bp::self))
|
||||
// .def(bp::self_ns::pow(bp::self))
|
||||
;
|
||||
#undef ADD_ARRAY_OPERATOR
|
||||
|
||||
#define ADD_ARRAY_OPERATOR(OP) \
|
||||
.def(bp::self OP bp::self)\
|
||||
.def(bp::self OP bp::other<isc::array_expression>())\
|
||||
.def(bp::other<isc::array_expression>() OP bp::self) \
|
||||
ADD_SCALAR_HANDLING(OP)
|
||||
|
||||
bp::class_<isc::array,
|
||||
std::shared_ptr<isc::array> >
|
||||
( "array", bp::no_init)
|
||||
.def("__init__", bp::make_constructor(create_array, bp::default_call_policies(), (bp::arg("obj"), bp::arg("dtype") = bp::scope().attr("float32"), bp::arg("context")=isc::driver::queues.default_context())))
|
||||
.def(bp::init<isc::array_expression>())
|
||||
.add_property("dtype", &isc::array::dtype)
|
||||
.add_property("context", bp::make_function(&isc::array::context, bp::return_internal_reference<>()))
|
||||
.add_property("T", &isc::array::T)
|
||||
.add_property("shape", &get_shape)
|
||||
ADD_ARRAY_OPERATOR(+)
|
||||
ADD_ARRAY_OPERATOR(-)
|
||||
ADD_ARRAY_OPERATOR(*)
|
||||
ADD_ARRAY_OPERATOR(/)
|
||||
ADD_ARRAY_OPERATOR(>)
|
||||
ADD_ARRAY_OPERATOR(>=)
|
||||
ADD_ARRAY_OPERATOR(<)
|
||||
ADD_ARRAY_OPERATOR(<=)
|
||||
ADD_ARRAY_OPERATOR(==)
|
||||
ADD_ARRAY_OPERATOR(!=)
|
||||
.def(bp::self_ns::abs(bp::self))
|
||||
// .def(bp::self_ns::pow(bp::self))
|
||||
.def(bp::self_ns::str(bp::self_ns::self))
|
||||
;
|
||||
|
||||
bp::class_<isc::scalar, bp::bases<isc::array> >
|
||||
("scalar", bp::no_init)
|
||||
.def("__init__", bp::make_constructor(construct_scalar, bp::default_call_policies(), (bp::arg(""), bp::arg("context")=isc::driver::queues.default_context())))
|
||||
;
|
||||
|
||||
//Other numpy-like initializers
|
||||
bp::def("empty", &create_empty_array, (bp::arg("shape"), bp::arg("dtype") = bp::scope().attr("float32"), bp::arg("context")=isc::driver::queues.default_context()));
|
||||
|
||||
//Binary
|
||||
#define MAP_FUNCTION(name) \
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array const &, isc::array const &)>(&isc::name));\
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array_expression const &, isc::array const &)>(&isc::name));\
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array const &, isc::array_expression const &)>(&isc::name));\
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array_expression const &, isc::array_expression const &)>(&isc::name));
|
||||
|
||||
MAP_FUNCTION(maximum)
|
||||
MAP_FUNCTION(minimum)
|
||||
MAP_FUNCTION(pow)
|
||||
MAP_FUNCTION(dot)
|
||||
#undef MAP_FUNCTION
|
||||
|
||||
//Unary
|
||||
#define MAP_FUNCTION(name) \
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array const &)>(&isc::name));\
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array_expression const &)>(&isc::name));
|
||||
|
||||
MAP_FUNCTION(abs)
|
||||
MAP_FUNCTION(acos)
|
||||
MAP_FUNCTION(asin)
|
||||
MAP_FUNCTION(atan)
|
||||
MAP_FUNCTION(ceil)
|
||||
MAP_FUNCTION(cos)
|
||||
MAP_FUNCTION(cosh)
|
||||
MAP_FUNCTION(exp)
|
||||
MAP_FUNCTION(floor)
|
||||
MAP_FUNCTION(log)
|
||||
MAP_FUNCTION(log10)
|
||||
MAP_FUNCTION(sin)
|
||||
MAP_FUNCTION(sinh)
|
||||
MAP_FUNCTION(sqrt)
|
||||
MAP_FUNCTION(tan)
|
||||
MAP_FUNCTION(tanh)
|
||||
#undef MAP_FUNCTION
|
||||
|
||||
/*--- Reduction operators----*/
|
||||
//---------------------------------------
|
||||
#define MAP_FUNCTION(name) \
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array const &, isc::int_t)>(&isc::name));\
|
||||
bp::def(#name, static_cast<isc::array_expression (*)(isc::array_expression const &, isc::int_t)>(&isc::name));
|
||||
|
||||
MAP_FUNCTION(sum)
|
||||
MAP_FUNCTION(max)
|
||||
MAP_FUNCTION(min)
|
||||
MAP_FUNCTION(argmax)
|
||||
MAP_FUNCTION(argmin)
|
||||
#undef MAP_FUNCTION
|
||||
|
||||
|
||||
|
||||
|
||||
}
|
||||
@@ -1,165 +0,0 @@
|
||||
#include <boost/python.hpp>
|
||||
#include <boost/python/suite/indexing/vector_indexing_suite.hpp>
|
||||
#include <boost/python/suite/indexing/map_indexing_suite.hpp>
|
||||
|
||||
#include "isaac/array.h"
|
||||
#include "isaac/model/model.h"
|
||||
|
||||
#include "common.hpp"
|
||||
#include "driver.h"
|
||||
|
||||
|
||||
bp::list nv_compute_capability(isc::driver::Device const & device)
|
||||
{
|
||||
bp::list res;
|
||||
std::pair<unsigned int, unsigned int> cc = device.nv_compute_capability();
|
||||
res.append(cc.first);
|
||||
res.append(cc.second);
|
||||
return res;
|
||||
}
|
||||
|
||||
bp::list get_platforms()
|
||||
{
|
||||
std::vector<isc::driver::Platform> platforms(isc::driver::Platform::get());
|
||||
return detail::to_list(platforms.begin(), platforms.end());
|
||||
}
|
||||
|
||||
bp::list get_devices(isc::driver::Platform const & platform)
|
||||
{
|
||||
std::vector<isc::driver::Device> devices(platform.devices());
|
||||
return detail::to_list(devices.begin(), devices.end());
|
||||
}
|
||||
|
||||
struct model_map_indexing
|
||||
{
|
||||
static isc::model& get_item(isc::model_map_t& container, bp::tuple i_)
|
||||
{
|
||||
isc::expression_type expression = detail::extract_template_type(i_[0]);
|
||||
isc::numeric_type dtype = detail::extract_dtype(i_[1]);
|
||||
isc::model_map_t::iterator i = container.find(std::make_pair(expression, dtype));
|
||||
if (i == container.end())
|
||||
{
|
||||
PyErr_SetString(PyExc_KeyError, "Invalid key");
|
||||
bp::throw_error_already_set();
|
||||
}
|
||||
return *i->second;
|
||||
}
|
||||
|
||||
static void set_item(isc::model_map_t& container, bp::tuple i_, isc::model const & v)
|
||||
{
|
||||
isc::expression_type expression = detail::extract_template_type(i_[0]);
|
||||
isc::numeric_type dtype = detail::extract_dtype(i_[1]);
|
||||
container[std::make_pair(expression, dtype)].reset(new isc::model(v));
|
||||
}
|
||||
};
|
||||
|
||||
std::string to_string(isc::driver::device_type type)
|
||||
{
|
||||
if(type==isc::driver::DEVICE_TYPE_CPU) return "CPU";
|
||||
if(type==isc::driver::DEVICE_TYPE_GPU) return "GPU";
|
||||
if(type==isc::driver::DEVICE_TYPE_ACCELERATOR) return "ACCELERATOR";
|
||||
throw;
|
||||
}
|
||||
|
||||
std::shared_ptr<isc::driver::Context> make_context(isc::driver::Device const & dev)
|
||||
{ return std::shared_ptr<isc::driver::Context>(new isc::driver::Context(dev)); }
|
||||
|
||||
bp::tuple flush(isc::array_expression const & expression, unsigned int queue_id, bp::list dependencies, bool tune, int label, std::string const & program_name, bool force_recompile)
|
||||
{
|
||||
std::list<isc::driver::Event> events;
|
||||
std::vector<isc::driver::Event> cdependencies = detail::to_vector<isc::driver::Event>(dependencies);
|
||||
std::shared_ptr<isc::array> parray(new isc::array(isc::control(expression,
|
||||
isc::execution_options_type(queue_id, &events, &cdependencies),
|
||||
isc::dispatcher_options_type(tune, label),
|
||||
isc::compilation_options_type(program_name, force_recompile))));
|
||||
return bp::make_tuple(parray, detail::to_list(events.begin(), events.end()));
|
||||
}
|
||||
|
||||
|
||||
struct state_type{ };
|
||||
state_type state;
|
||||
|
||||
void export_driver()
|
||||
{
|
||||
typedef std::vector<isc::driver::CommandQueue> queues_t;
|
||||
bp::class_<queues_t>("queues")
|
||||
.def("__len__", &queues_t::size)
|
||||
.def("__getitem__", &bp::vector_indexing_suite<queues_t>::get_item, bp::return_internal_reference<>())
|
||||
.def("__setitem__", &bp::vector_indexing_suite<queues_t>::set_item, bp::with_custodian_and_ward<1,2>())
|
||||
.def("append", &bp::vector_indexing_suite<queues_t>::append)
|
||||
|
||||
;
|
||||
|
||||
bp::class_<isc::model_map_t>("models")
|
||||
.def("__getitem__", &model_map_indexing::get_item, bp::return_internal_reference<>())
|
||||
.def("__setitem__", &model_map_indexing::set_item, bp::with_custodian_and_ward<1,2>())
|
||||
;
|
||||
|
||||
bp::enum_<isc::driver::backend_type>
|
||||
("backend_type")
|
||||
.value("OPENCL", isc::driver::OPENCL)
|
||||
#ifdef ISAAC_WITH_CUDA
|
||||
.value("CUDA", isc::driver::CUDA)
|
||||
#endif
|
||||
;
|
||||
|
||||
bp::enum_<isc::driver::device_type>
|
||||
("device_type")
|
||||
.value("DEVICE_TYPE_GPU", isc::driver::DEVICE_TYPE_GPU)
|
||||
.value("DEVICE_TYPE_CPU", isc::driver::DEVICE_TYPE_CPU)
|
||||
;
|
||||
|
||||
|
||||
bp::class_<isc::driver::Platform>("platform", bp::no_init)
|
||||
.def("get_devices", &get_devices)
|
||||
.add_property("name",&isc::driver::Platform::name)
|
||||
;
|
||||
|
||||
bp::enum_<isaac::driver::Device::VENDOR>
|
||||
("vendor")
|
||||
.value("AMD", isc::driver::Device::AMD)
|
||||
.value("INTEL", isc::driver::Device::INTEL)
|
||||
.value("NVIDIA", isc::driver::Device::NVIDIA)
|
||||
.value("UNKNOWN", isc::driver::Device::UNKNOWN)
|
||||
;
|
||||
|
||||
bp::class_<isc::driver::Device>("device", bp::no_init)
|
||||
.add_property("clock_rate", &isc::driver::Device::clock_rate)
|
||||
.add_property("name", &isc::driver::Device::name)
|
||||
.add_property("type", &isc::driver::Device::type)
|
||||
.add_property("platform", &isc::driver::Device::platform)
|
||||
.add_property("vendor", &isc::driver::Device::vendor)
|
||||
.add_property("nv_compute_capability", &nv_compute_capability)
|
||||
;
|
||||
|
||||
bp::class_<isc::driver::Context>("context", bp::no_init)
|
||||
.def("__init__", bp::make_constructor(&make_context))
|
||||
.add_property("queues", bp::make_function(static_cast<std::vector<isc::driver::CommandQueue> & (*)(const isc::driver::Context&)>( [](const isc::driver::Context & ctx) -> std::vector<isc::driver::CommandQueue> & { return isc::driver::queues[ctx]; }) , bp::return_internal_reference<>()))
|
||||
.add_property("backend", &isc::driver::Context::backend)
|
||||
;
|
||||
|
||||
bp::class_<isc::driver::CommandQueue>("command_queue", bp::init<isc::driver::Context, isc::driver::Device>())
|
||||
.def("synchronize", &isc::driver::CommandQueue::synchronize)
|
||||
.add_property("models", bp::make_function(&isc::get_model_map, bp::return_internal_reference<>()))
|
||||
.add_property("device", bp::make_function(&isc::driver::CommandQueue::device, bp::return_internal_reference<>()))
|
||||
;
|
||||
|
||||
bp::class_<isc::driver::Event>("event", bp::init<isc::driver::backend_type>())
|
||||
.add_property("elapsed_time", &isc::driver::Event::elapsed_time)
|
||||
;
|
||||
|
||||
bp::def("device_type_to_string", &to_string);
|
||||
|
||||
bp::def("get_platforms", &get_platforms);
|
||||
|
||||
bp::def("flush", &flush, (bp::arg("expression"), bp::arg("queue_id") = 0, bp::arg("dependencies")=bp::list(), bp::arg("tune") = false, bp::arg("label")=-1, bp::arg("program_name")="", bp::arg("recompile") = false));
|
||||
|
||||
bp::class_<state_type>("state_type")
|
||||
.def_readwrite("queue_properties",&isc::driver::queues.queue_properties)
|
||||
;
|
||||
|
||||
bp::scope().attr("state") = bp::object(bp::ptr(&state));
|
||||
|
||||
bp::scope().attr("CL_QUEUE_PROFILING_ENABLE") = CL_QUEUE_PROFILING_ENABLE;
|
||||
bp::scope().attr("CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE") = CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE;
|
||||
}
|
||||
@@ -1,6 +0,0 @@
|
||||
#ifndef PYthon_ISAAC_SRC_DRIVER_H
|
||||
#define PYthon_ISAAC_SRC_DRIVER_H
|
||||
|
||||
void export_driver();
|
||||
|
||||
#endif
|
||||
@@ -1,165 +0,0 @@
|
||||
#include <boost/python.hpp>
|
||||
#include <boost/python/suite/indexing/vector_indexing_suite.hpp>
|
||||
#include <boost/python/suite/indexing/map_indexing_suite.hpp>
|
||||
|
||||
#include "isaac/array.h"
|
||||
#include "isaac/model/model.h"
|
||||
|
||||
#include "common.hpp"
|
||||
#include "driver.h"
|
||||
|
||||
|
||||
bp::list nv_compute_capability(isc::driver::Device const & device)
|
||||
{
|
||||
bp::list res;
|
||||
std::pair<unsigned int, unsigned int> cc = device.nv_compute_capability();
|
||||
res.append(cc.first);
|
||||
res.append(cc.second);
|
||||
return res;
|
||||
}
|
||||
|
||||
bp::list get_platforms()
|
||||
{
|
||||
std::vector<isc::driver::Platform> platforms(isc::driver::Platform::get());
|
||||
return detail::to_list(platforms.begin(), platforms.end());
|
||||
}
|
||||
|
||||
bp::list get_devices(isc::driver::Platform const & platform)
|
||||
{
|
||||
std::vector<isc::driver::Device> devices(platform.devices());
|
||||
return detail::to_list(devices.begin(), devices.end());
|
||||
}
|
||||
|
||||
struct model_map_indexing
|
||||
{
|
||||
static isc::model& get_item(isc::model_map_t& container, bp::tuple i_)
|
||||
{
|
||||
isc::expression_type expression = detail::extract_template_type(i_[0]);
|
||||
isc::numeric_type dtype = detail::extract_dtype(i_[1]);
|
||||
isc::model_map_t::iterator i = container.find(std::make_pair(expression, dtype));
|
||||
if (i == container.end())
|
||||
{
|
||||
PyErr_SetString(PyExc_KeyError, "Invalid key");
|
||||
bp::throw_error_already_set();
|
||||
}
|
||||
return *i->second;
|
||||
}
|
||||
|
||||
static void set_item(isc::model_map_t& container, bp::tuple i_, isc::model const & v)
|
||||
{
|
||||
isc::expression_type expression = detail::extract_template_type(i_[0]);
|
||||
isc::numeric_type dtype = detail::extract_dtype(i_[1]);
|
||||
container[std::make_pair(expression, dtype)].reset(new isc::model(v));
|
||||
}
|
||||
};
|
||||
|
||||
std::string to_string(isc::driver::device_type type)
|
||||
{
|
||||
if(type==isc::driver::DEVICE_TYPE_CPU) return "CPU";
|
||||
if(type==isc::driver::DEVICE_TYPE_GPU) return "GPU";
|
||||
if(type==isc::driver::DEVICE_TYPE_ACCELERATOR) return "ACCELERATOR";
|
||||
throw;
|
||||
}
|
||||
|
||||
std::shared_ptr<isc::driver::Context> make_context(isc::driver::Device const & dev)
|
||||
{ return std::shared_ptr<isc::driver::Context>(new isc::driver::Context(dev)); }
|
||||
|
||||
bp::tuple flush(isc::array_expression const & expression, unsigned int queue_id, bp::list dependencies, bool tune, int label, std::string const & program_name, bool force_recompile)
|
||||
{
|
||||
std::list<isc::driver::Event> events;
|
||||
std::vector<isc::driver::Event> cdependencies = detail::to_vector<isc::driver::Event>(dependencies);
|
||||
std::shared_ptr<isc::array> parray(new isc::array(isc::control(expression,
|
||||
isc::execution_options_type(queue_id, &events, &cdependencies),
|
||||
isc::dispatcher_options_type(tune, label),
|
||||
isc::compilation_options_type(program_name, force_recompile))));
|
||||
return bp::make_tuple(parray, detail::to_list(events.begin(), events.end()));
|
||||
}
|
||||
|
||||
|
||||
struct state_type{ };
|
||||
state_type state;
|
||||
|
||||
void export_driver()
|
||||
{
|
||||
typedef std::vector<isc::driver::CommandQueue> queues_t;
|
||||
bp::class_<queues_t>("queues")
|
||||
.def("__len__", &queues_t::size)
|
||||
.def("__getitem__", &bp::vector_indexing_suite<queues_t>::get_item, bp::return_internal_reference<>())
|
||||
.def("__setitem__", &bp::vector_indexing_suite<queues_t>::set_item, bp::with_custodian_and_ward<1,2>())
|
||||
.def("append", &bp::vector_indexing_suite<queues_t>::append)
|
||||
|
||||
;
|
||||
|
||||
bp::class_<isc::model_map_t>("models")
|
||||
.def("__getitem__", &model_map_indexing::get_item, bp::return_internal_reference<>())
|
||||
.def("__setitem__", &model_map_indexing::set_item, bp::with_custodian_and_ward<1,2>())
|
||||
;
|
||||
|
||||
bp::enum_<isc::driver::backend_type>
|
||||
("backend_type")
|
||||
.value("OPENCL", isc::driver::OPENCL)
|
||||
#ifdef ISAAC_WITH_CUDA
|
||||
.value("CUDA", isc::driver::CUDA)
|
||||
#endif
|
||||
;
|
||||
|
||||
bp::enum_<isc::driver::device_type>
|
||||
("device_type")
|
||||
.value("DEVICE_TYPE_GPU", isc::driver::DEVICE_TYPE_GPU)
|
||||
.value("DEVICE_TYPE_CPU", isc::driver::DEVICE_TYPE_CPU)
|
||||
;
|
||||
|
||||
|
||||
bp::class_<isc::driver::Platform>("platform", bp::no_init)
|
||||
.def("get_devices", &get_devices)
|
||||
.add_property("name",&isc::driver::Platform::name)
|
||||
;
|
||||
|
||||
bp::enum_<isaac::driver::Device::VENDOR>
|
||||
("vendor")
|
||||
.value("AMD", isc::driver::Device::AMD)
|
||||
.value("INTEL", isc::driver::Device::INTEL)
|
||||
.value("NVIDIA", isc::driver::Device::NVIDIA)
|
||||
.value("UNKNOWN", isc::driver::Device::UNKNOWN)
|
||||
;
|
||||
|
||||
bp::class_<isc::driver::Device>("device", bp::no_init)
|
||||
.add_property("clock_rate", &isc::driver::Device::clock_rate)
|
||||
.add_property("name", &isc::driver::Device::name)
|
||||
.add_property("type", &isc::driver::Device::type)
|
||||
.add_property("platform", &isc::driver::Device::platform)
|
||||
.add_property("vendor", &isc::driver::Device::vendor)
|
||||
.add_property("nv_compute_capability", &nv_compute_capability)
|
||||
;
|
||||
|
||||
bp::class_<isc::driver::Context>("context", bp::no_init)
|
||||
.def("__init__", bp::make_constructor(&make_context))
|
||||
.add_property("queues", bp::make_function(static_cast<std::vector<isc::driver::CommandQueue> & (*)(const isc::driver::Context&)>( [](const isc::driver::Context & ctx) -> std::vector<isc::driver::CommandQueue> & { return isc::driver::queues[ctx]; }) , bp::return_internal_reference<>()))
|
||||
.add_property("backend", &isc::driver::Context::backend)
|
||||
;
|
||||
|
||||
bp::class_<isc::driver::CommandQueue>("command_queue", bp::init<isc::driver::Context, isc::driver::Device>())
|
||||
.def("synchronize", &isc::driver::CommandQueue::synchronize)
|
||||
.add_property("models", bp::make_function(&isc::get_model_map, bp::return_internal_reference<>()))
|
||||
.add_property("device", bp::make_function(&isc::driver::CommandQueue::device, bp::return_internal_reference<>()))
|
||||
;
|
||||
|
||||
bp::class_<isc::driver::Event>("event", bp::init<isc::driver::backend_type>())
|
||||
.add_property("elapsed_time", &isc::driver::Event::elapsed_time)
|
||||
;
|
||||
|
||||
bp::def("device_type_to_string", &to_string);
|
||||
|
||||
bp::def("get_platforms", &get_platforms);
|
||||
|
||||
bp::def("flush", &flush, (bp::arg("expression"), bp::arg("queue_id") = 0, bp::arg("dependencies")=bp::list(), bp::arg("tune") = false, bp::arg("label")=-1, bp::arg("program_name")="", bp::arg("recompile") = false));
|
||||
|
||||
bp::class_<state_type>("state_type")
|
||||
.def_readwrite("queue_properties",&isc::driver::queues.queue_properties)
|
||||
;
|
||||
|
||||
bp::scope().attr("state") = bp::object(bp::ptr(&state));
|
||||
|
||||
bp::scope().attr("CL_QUEUE_PROFILING_ENABLE") = CL_QUEUE_PROFILING_ENABLE;
|
||||
bp::scope().attr("CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE") = CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE;
|
||||
}
|
||||
@@ -1,6 +0,0 @@
|
||||
#ifndef PYthon_ISAAC_SRC_MODEL_H
|
||||
#define PYthon_ISAAC_SRC_MODEL_H
|
||||
|
||||
void export_model();
|
||||
|
||||
#endif
|
||||
@@ -1,66 +0,0 @@
|
||||
#include "isaac/backend/templates/vaxpy.h"
|
||||
#include "isaac/backend/templates/maxpy.h"
|
||||
#include "isaac/backend/templates/reduction.h"
|
||||
#include "isaac/backend/templates/mreduction.h"
|
||||
#include "isaac/backend/templates/mproduct.h"
|
||||
#include "isaac/model/model.h"
|
||||
|
||||
#include "model.h"
|
||||
#include "common.hpp"
|
||||
|
||||
bp::list input_sizes(isaac::base & temp, isc::expressions_tuple const & tree)
|
||||
{
|
||||
std::vector<int> tmp = temp.input_sizes(tree);
|
||||
return detail::to_list(tmp.begin(), tmp.end());
|
||||
}
|
||||
|
||||
std::shared_ptr<isc::model> construct_model(bp::object dtype, bp::object const & tp, isc::driver::CommandQueue & queue)
|
||||
{
|
||||
return std::shared_ptr<isc::model>(new isc::model(detail::extract_template_type(tp), detail::extract_dtype(dtype), (isc::base const &)bp::extract<isc::base>(tp), queue));
|
||||
}
|
||||
|
||||
void export_model()
|
||||
{
|
||||
|
||||
bp::class_<isaac::model>("model", bp::no_init)
|
||||
.def("__init__", bp::make_constructor(construct_model))
|
||||
.def("execute", &isc::model::execute);
|
||||
|
||||
bp::enum_<isaac::fetching_policy_type>
|
||||
("fetching_policy_type")
|
||||
.value("FETCH_FROM_LOCAL", isc::FETCH_FROM_LOCAL)
|
||||
.value("FETCH_FROM_GLOBAL_STRIDED", isc::FETCH_FROM_GLOBAL_STRIDED)
|
||||
.value("FETCH_FROM_GLOBAL_CONTIGUOUS", isc::FETCH_FROM_GLOBAL_CONTIGUOUS)
|
||||
;
|
||||
|
||||
//Base
|
||||
{
|
||||
#define __PROP(name) .def_readonly(#name, &isaac::base::parameters_type::name)
|
||||
bp::class_<isaac::base, boost::noncopyable>("base", bp::no_init)
|
||||
.def("lmem_usage", &isaac::base::lmem_usage)
|
||||
.def("registers_usage", &isaac::base::registers_usage)
|
||||
.def("is_invalid", &isaac::base::is_invalid)
|
||||
.def("input_sizes", &input_sizes)
|
||||
;
|
||||
#undef __PROP
|
||||
}
|
||||
|
||||
#define WRAP_BASE(name) bp::class_<isaac::base_impl<isaac::name, isaac::name::parameters_type>, bp::bases<isaac::base>, boost::noncopyable>(#name "_base_impl", bp::no_init);
|
||||
#define WRAP_TEMPLATE(name, basename, ...) bp::class_<isaac::name, bp::bases<isaac::base_impl<isaac::basename, isaac::basename::parameters_type> > >(#name, bp::init<__VA_ARGS__>())\
|
||||
.add_property("local_size_0", &isc::name::local_size_0)\
|
||||
.add_property("local_size_1", &isc::name::local_size_1);
|
||||
#define WRAP_SINGLE_TEMPLATE(name, ...) WRAP_BASE(name) WRAP_TEMPLATE(name, name, __VA_ARGS__)
|
||||
|
||||
//Vector AXPY
|
||||
WRAP_SINGLE_TEMPLATE(vaxpy, uint, uint, uint, isaac::fetching_policy_type)
|
||||
WRAP_SINGLE_TEMPLATE(maxpy, uint, uint, uint, uint, uint, isaac::fetching_policy_type)
|
||||
WRAP_SINGLE_TEMPLATE(reduction, uint, uint, uint, isaac::fetching_policy_type)
|
||||
WRAP_BASE(mreduction)
|
||||
WRAP_TEMPLATE(mreduction_rows, mreduction, uint, uint, uint, uint, uint, isaac::fetching_policy_type)
|
||||
WRAP_TEMPLATE(mreduction_cols, mreduction, uint, uint, uint, uint, uint, isaac::fetching_policy_type)
|
||||
WRAP_BASE(mproduct)
|
||||
WRAP_TEMPLATE(mproduct_nn, mproduct, uint, uint, uint, uint, uint, uint, uint, uint, isaac::fetching_policy_type, isaac::fetching_policy_type, uint, uint)
|
||||
WRAP_TEMPLATE(mproduct_tn, mproduct, uint, uint, uint, uint, uint, uint, uint, uint, isaac::fetching_policy_type, isaac::fetching_policy_type, uint, uint)
|
||||
WRAP_TEMPLATE(mproduct_nt, mproduct, uint, uint, uint, uint, uint, uint, uint, uint, isaac::fetching_policy_type, isaac::fetching_policy_type, uint, uint)
|
||||
WRAP_TEMPLATE(mproduct_tt, mproduct, uint, uint, uint, uint, uint, uint, uint, uint, isaac::fetching_policy_type, isaac::fetching_policy_type, uint, uint)
|
||||
}
|
||||
Reference in New Issue
Block a user