common.hpp

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#pragma once
 
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <sycl/sycl.hpp>
 
#include "dpctl4pybind11.hpp"
#include "utils/output_validation.hpp"
#include "utils/type_dispatch.hpp"
#include "utils/type_utils.hpp"
 
namespace dpnp::extensions::window
{
 
namespace dpctl_td_ns = dpctl::tensor::type_dispatch;
 
namespace py = pybind11;
 
typedef sycl::event (*window_fn_ptr_t)(sycl::queue &,
                                       char *,
                                       const std::size_t,
                                       const std::vector<sycl::event> &);
 
template <typename T, template <typename> class Functor>
sycl::event window_impl(sycl::queue &q,
                        char *result,
                        const std::size_t nelems,
                        const std::vector<sycl::event> &depends)
{
    dpctl::tensor::type_utils::validate_type_for_device<T>(q);
 
    T *res = reinterpret_cast<T *>(result);
 
    sycl::event window_ev = q.submit([&](sycl::handler &cgh) {
        cgh.depends_on(depends);
 
        using WindowKernel = Functor<T>;
        cgh.parallel_for<WindowKernel>(sycl::range<1>(nelems),
                                       WindowKernel(res, nelems));
    });
 
    return window_ev;
}
 
template <typename funcPtrT>
std::tuple<size_t, char *, funcPtrT>
    window_fn(sycl::queue &exec_q,
              const dpctl::tensor::usm_ndarray &result,
              const funcPtrT *window_dispatch_vector)
{
    dpctl::tensor::validation::CheckWritable::throw_if_not_writable(result);
 
    int nd = result.get_ndim();
    if (nd != 1) {
        throw py::value_error("Array should be 1d");
    }
 
    if (!dpctl::utils::queues_are_compatible(exec_q, {result.get_queue()})) {
        throw py::value_error(
            "Execution queue is not compatible with allocation queue.");
    }
 
    const bool is_result_c_contig = result.is_c_contiguous();
    if (!is_result_c_contig) {
        throw py::value_error("The result input array is not c-contiguous.");
    }
 
    size_t nelems = result.get_size();
    if (nelems == 0) {
        return std::make_tuple(nelems, nullptr, nullptr);
    }
 
    int result_typenum = result.get_typenum();
    auto array_types = dpctl_td_ns::usm_ndarray_types();
    int result_type_id = array_types.typenum_to_lookup_id(result_typenum);
    funcPtrT fn = window_dispatch_vector[result_type_id];
 
    if (fn == nullptr) {
        throw std::runtime_error("Type of given array is not supported");
    }
 
    char *result_typeless_ptr = result.get_data();
    return std::make_tuple(nelems, result_typeless_ptr, fn);
}
 
inline std::pair<sycl::event, sycl::event>
    py_window(sycl::queue &exec_q,
              const dpctl::tensor::usm_ndarray &result,
              const std::vector<sycl::event> &depends,
              const window_fn_ptr_t *window_dispatch_vector)
{
    auto [nelems, result_typeless_ptr, fn] =
        window_fn<window_fn_ptr_t>(exec_q, result, window_dispatch_vector);
 
    if (nelems == 0) {
        return std::make_pair(sycl::event{}, sycl::event{});
    }
 
    sycl::event window_ev = fn(exec_q, result_typeless_ptr, nelems, depends);
    sycl::event args_ev =
        dpctl::utils::keep_args_alive(exec_q, {result}, {window_ev});
 
    return std::make_pair(args_ev, window_ev);
}
 
template <typename funcPtrT,
          template <typename fnT, typename T>
          typename factoryT>
void init_window_dispatch_vectors(funcPtrT window_dispatch_vector[])
{
    dpctl_td_ns::DispatchVectorBuilder<funcPtrT, factoryT,
                                       dpctl_td_ns::num_types>
        contig;
    contig.populate_dispatch_vector(window_dispatch_vector);
 
    return;
}
 
} // namespace dpnp::extensions::window