Skip to content

Move KokkosSparse::Experimental::SPTRSVAlgorithm to KokkosSparse::SPTRSVAlgorithm #2570

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: develop
Choose a base branch
from
+53 −53
Open

Move KokkosSparse::Experimental::SPTRSVAlgorithm to KokkosSparse::SPTRSVAlgorithm #2570

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
26 changes: 12 additions & 14 deletions sparse/impl/KokkosSparse_sptrsv_solve_impl.hpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1290,7 +1290,6 @@ struct SptrsvWrap {
using LowerTPFunc = FunctorTypeMacro(TriLvlSchedTP1SolverFunctor, true, BlockEnabled);

#if defined(KOKKOSKERNELS_ENABLE_SUPERNODAL_SPTRSV)
using namespace KokkosSparse::Experimental;
using device_t = Kokkos::Device<execution_space, temp_mem_space>;
using integer_view_host_t = typename TriSolveHandle::integer_view_host_t;
using row_map_host_view_t = Kokkos::View<size_type *, Kokkos::HostSpace>;
Expand Down Expand Up @@ -1348,14 +1347,14 @@ struct SptrsvWrap {
#if defined(KOKKOS_ENABLE_CUDA) && defined(KOKKOSPSTRSV_SOLVE_IMPL_PROFILE)
cudaProfilerStart();
#endif
if (thandle.get_algorithm() == KokkosSparse::Experimental::SPTRSVAlgorithm::SEQLVLSCHD_RP) {
if (thandle.get_algorithm() == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_RP) {
LowerRPFunc lrpp(row_map, entries, values, lhs, rhs, nodes_grouped_by_level, block_size);

Kokkos::parallel_for("parfor_fixed_lvl",
Kokkos::Experimental::require(range_policy(space, node_count, node_count + lvl_nodes),
Kokkos::Experimental::WorkItemProperty::HintLightWeight),
lrpp);
} else if (thandle.get_algorithm() == KokkosSparse::Experimental::SPTRSVAlgorithm::SEQLVLSCHD_TP1) {
} else if (thandle.get_algorithm() == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1) {
LowerTPFunc ltpp(row_map, entries, values, lhs, rhs, nodes_grouped_by_level, node_count, block_size);
int team_size = thandle.get_team_size();
auto tp =
Expand Down Expand Up @@ -1551,7 +1550,7 @@ struct SptrsvWrap {
cudaProfilerStop();
#endif
} // end if
} // end for lvl
} // end for lvl

#ifdef profile_supernodal_etree
Kokkos::fence();
Expand Down Expand Up @@ -1586,7 +1585,6 @@ struct SptrsvWrap {
using UpperTPFunc = FunctorTypeMacro(TriLvlSchedTP1SolverFunctor, false, BlockEnabled);

#if defined(KOKKOSKERNELS_ENABLE_SUPERNODAL_SPTRSV)
using namespace KokkosSparse::Experimental;
using integer_view_host_t = typename TriSolveHandle::integer_view_host_t;
using row_map_host_view_t = Kokkos::View<size_type *, Kokkos::HostSpace>;

Expand Down Expand Up @@ -1644,13 +1642,13 @@ struct SptrsvWrap {
cudaProfilerStart();
#endif

if (thandle.get_algorithm() == KokkosSparse::Experimental::SPTRSVAlgorithm::SEQLVLSCHD_RP) {
if (thandle.get_algorithm() == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_RP) {
UpperRPFunc urpp(row_map, entries, values, lhs, rhs, nodes_grouped_by_level, block_size);
Kokkos::parallel_for("parfor_fixed_lvl",
Kokkos::Experimental::require(range_policy(space, node_count, node_count + lvl_nodes),
Kokkos::Experimental::WorkItemProperty::HintLightWeight),
urpp);
} else if (thandle.get_algorithm() == KokkosSparse::Experimental::SPTRSVAlgorithm::SEQLVLSCHD_TP1) {
} else if (thandle.get_algorithm() == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1) {
UpperTPFunc utpp(row_map, entries, values, lhs, rhs, nodes_grouped_by_level, node_count, block_size);
int team_size = thandle.get_team_size();
auto tp =
Expand Down Expand Up @@ -1955,7 +1953,7 @@ struct SptrsvWrap {
cudaProfilerStop();
#endif
} // end if
} // end for lvl
} // end for lvl
#ifdef profile_supernodal_etree
Kokkos::fence();
double sptrsv_time_seconds = sptrsv_timer.seconds();
Expand Down Expand Up @@ -2116,12 +2114,12 @@ struct SptrsvWrap {
const auto block_enabled = thandle_v[i]->is_block_enabled();
KK_REQUIRE(block_enabled == BlockEnabled);
if (lvl_nodes != 0) {
if (thandle_v[i]->get_algorithm() == KokkosSparse::Experimental::SPTRSVAlgorithm::SEQLVLSCHD_RP) {
if (thandle_v[i]->get_algorithm() == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_RP) {
Kokkos::parallel_for("parfor_fixed_lvl",
range_policy(execspace_v[i], node_count_v[i], node_count_v[i] + lvl_nodes),
RPFunctor(row_map_v[i], entries_v[i], values_v[i], lhs_v[i], rhs_v[i],
nodes_grouped_by_level_v[i], block_size));
} else if (thandle_v[i]->get_algorithm() == KokkosSparse::Experimental::SPTRSVAlgorithm::SEQLVLSCHD_TP1) {
} else if (thandle_v[i]->get_algorithm() == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1) {
int team_size = thandle_v[i]->get_team_size();
auto tp = team_size == -1 ? team_policy(execspace_v[i], lvl_nodes, Kokkos::AUTO)
: team_policy(execspace_v[i], lvl_nodes, team_size);
Expand All @@ -2137,10 +2135,10 @@ struct SptrsvWrap {
}
node_count_v[i] += lvl_nodes;
} // end if (lvl_nodes != 0)
} // end if (lvl < nlevels_v[i])
} // end for streams
} // end for lvl
} // end tri_solve_streams
} // end if (lvl < nlevels_v[i])
} // end for streams
} // end for lvl
} // end tri_solve_streams

}; // struct SptrsvWrap

Expand Down
4 changes: 2 additions & 2 deletions sparse/impl/KokkosSparse_sptrsv_solve_spec.hpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -111,7 +111,7 @@ struct SPTRSV_SOLVE<ExecutionSpace, KernelHandle, RowMapType, EntriesType, Value
if (sptrsv_handle->is_symbolic_complete() == false) {
Experimental::lower_tri_symbolic(space, *sptrsv_handle, row_map, entries);
}
if (sptrsv_handle->get_algorithm() == KokkosSparse::Experimental::SPTRSVAlgorithm::SEQLVLSCHD_TP1CHAIN) {
if (sptrsv_handle->get_algorithm() == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1CHAIN) {
Sptrsv::template tri_solve_chain<true>(space, *sptrsv_handle, row_map, entries, values, b, x);
} else {
#ifdef KOKKOSKERNELS_SPTRSV_CUDAGRAPHSUPPORT
Expand All @@ -133,7 +133,7 @@ struct SPTRSV_SOLVE<ExecutionSpace, KernelHandle, RowMapType, EntriesType, Value
if (sptrsv_handle->is_symbolic_complete() == false) {
Experimental::upper_tri_symbolic(space, *sptrsv_handle, row_map, entries);
}
if (sptrsv_handle->get_algorithm() == KokkosSparse::Experimental::SPTRSVAlgorithm::SEQLVLSCHD_TP1CHAIN) {
if (sptrsv_handle->get_algorithm() == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1CHAIN) {
Sptrsv::template tri_solve_chain<false>(space, *sptrsv_handle, row_map, entries, values, b, x);
} else {
#ifdef KOKKOSKERNELS_SPTRSV_CUDAGRAPHSUPPORT
Expand Down
4 changes: 2 additions & 2 deletions sparse/impl/KokkosSparse_sptrsv_symbolic_impl.hpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -149,7 +149,7 @@ void lower_tri_symbolic(ExecSpaceIn& space, TriSolveHandle& thandle, const RowMa
Kokkos::Timer timer;
#endif

using namespace KokkosSparse::Experimental;
using KokkosSparse::SPTRSVAlgorithm;
if (thandle.get_algorithm() == SPTRSVAlgorithm::SEQLVLSCHD_RP ||
thandle.get_algorithm() == SPTRSVAlgorithm::SEQLVLSCHD_TP1 ||
/*thandle.get_algorithm () == SPTRSVAlgorithm::SEQLVLSCHED_TP2*/
Expand Down Expand Up @@ -575,7 +575,7 @@ void upper_tri_symbolic(ExecutionSpace& space, TriSolveHandle& thandle, const Ro
Kokkos::Timer timer;
#endif

using namespace KokkosSparse::Experimental;
using KokkosSparse::SPTRSVAlgorithm;
if (thandle.get_algorithm() == SPTRSVAlgorithm::SEQLVLSCHD_RP ||
thandle.get_algorithm() == SPTRSVAlgorithm::SEQLVLSCHD_TP1 ||
/*thandle.get_algorithm () == SPTRSVAlgorithm::SEQLVLSCHED_TP2*/
Expand Down
3 changes: 1 addition & 2 deletions sparse/impl/KokkosSparse_twostage_gauss_seidel_impl.hpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -684,7 +684,6 @@ class TwostageGaussSeidel {

if (!(gsHandle->isTwoStage())) {
// create SpTRSV handles for classical GS
using namespace KokkosSparse::Experimental;
auto sptrsv_algo = handle->get_gs_sptrsvL_handle()->get_sptrsv_handle()->get_algorithm();
if (sptrsv_algo != SPTRSVAlgorithm::SPTRSV_CUSPARSE) { // symbolic with CuSparse needs
// values
Expand Down Expand Up @@ -753,7 +752,7 @@ class TwostageGaussSeidel {
if (!(gsHandle->isTwoStage())) {
using namespace KokkosSparse::Experimental;
auto sptrsv_algo = handle->get_gs_sptrsvL_handle()->get_sptrsv_handle()->get_algorithm();
if (sptrsv_algo == SPTRSVAlgorithm::SPTRSV_CUSPARSE) { // symbolic with CuSparse needs
if (sptrsv_algo == KokkosSparse::SPTRSVAlgorithm::SPTRSV_CUSPARSE) { // symbolic with CuSparse needs
// values
// CuSparse needs matrix sorted by column indexes for each row
// TODO: may need to move this to symbolic/numeric of sptrsv
Expand Down
11 changes: 5 additions & 6 deletions sparse/src/KokkosKernels_Handle.hpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -657,7 +657,6 @@ class KokkosKernelsHandle {
auto gs2 = get_twostage_gs_handle();
gs2->setTwoStage(two_stage);
if (!two_stage) {
using namespace KokkosSparse::Experimental;
#if defined(KOKKOSKERNELS_ENABLE_TPL_CUSPARSE)
// NOTE: we call CuSPARSE on GPU, if possible
if (std::is_same<size_type, int>::value && std::is_same<nnz_lno_t, int>::value &&
Expand Down Expand Up @@ -721,13 +720,13 @@ class KokkosKernelsHandle {
// Handles for Classical GS (inner SpTRSV)
TwoStageGaussSeidelSPTRSVHandleType *get_gs_sptrsvL_handle() { return this->gs_sptrsvLHandle; }
TwoStageGaussSeidelSPTRSVHandleType *get_gs_sptrsvU_handle() { return this->gs_sptrsvUHandle; }
void create_gs_sptrsvL_handle(KokkosSparse::Experimental::SPTRSVAlgorithm algm, size_type nrows) {
void create_gs_sptrsvL_handle(KokkosSparse::SPTRSVAlgorithm algm, size_type nrows) {
this->destroy_gs_sptrsvL_handle();
this->is_owner_of_the_gs_sptrsvL_handle = true;
this->gs_sptrsvLHandle = new TwoStageGaussSeidelSPTRSVHandleType();
this->gs_sptrsvLHandle->create_sptrsv_handle(algm, nrows, true);
}
void create_gs_sptrsvU_handle(KokkosSparse::Experimental::SPTRSVAlgorithm algm, size_type nrows) {
void create_gs_sptrsvU_handle(KokkosSparse::SPTRSVAlgorithm algm, size_type nrows) {
this->destroy_gs_sptrsvU_handle();
this->is_owner_of_the_gs_sptrsvU_handle = true;
this->gs_sptrsvUHandle = new TwoStageGaussSeidelSPTRSVHandleType();
Expand Down Expand Up @@ -762,7 +761,7 @@ class KokkosKernelsHandle {

SPTRSVHandleType *get_sptrsv_handle() { return this->sptrsvHandle; }

void create_sptrsv_handle(KokkosSparse::Experimental::SPTRSVAlgorithm algm, size_type nrows, bool lower_tri,
void create_sptrsv_handle(KokkosSparse::SPTRSVAlgorithm algm, size_type nrows, bool lower_tri,
size_type block_size = 0) {
this->destroy_sptrsv_handle();
this->is_owner_of_the_sptrsv_handle = true;
Expand All @@ -773,7 +772,7 @@ class KokkosKernelsHandle {

#ifdef KOKKOSKERNELS_ENABLE_SUPERNODAL_SPTRSV
// default SpMV option
using namespace KokkosSparse::Experimental;
using KokkosSparse::SPTRSVAlgorithm;
if (algm == SPTRSVAlgorithm::SUPERNODAL_SPMV || algm == SPTRSVAlgorithm::SUPERNODAL_SPMV_DAG) {
this->set_sptrsv_column_major(true);
}
Expand All @@ -800,7 +799,7 @@ class KokkosKernelsHandle {

void set_sptrsv_invert_diagonal(bool flag) {
auto algo = this->sptrsvHandle->get_algorithm();
using namespace KokkosSparse::Experimental;
using KokkosSparse::SPTRSVAlgorithm;
if (!flag && (algo == SPTRSVAlgorithm::SUPERNODAL_SPMV || algo == SPTRSVAlgorithm::SUPERNODAL_SPMV_DAG)) {
std::cout << std::endl
<< " ** Supernodal SpTRSV with SpMV require diagonal inversion **" << std::endl
Expand Down
6 changes: 3 additions & 3 deletions sparse/src/KokkosSparse_sptrsv.hpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -176,7 +176,7 @@ void sptrsv_symbolic(ExecutionSpace &space, KernelHandle *handle, lno_row_view_t
Kokkos::Timer timer_sptrsv;
#endif
auto sptrsv_handle = handle->get_sptrsv_handle();
if (sptrsv_handle->get_algorithm() == KokkosSparse::Experimental::SPTRSVAlgorithm::SPTRSV_CUSPARSE) {
if (sptrsv_handle->get_algorithm() == KokkosSparse::SPTRSVAlgorithm::SPTRSV_CUSPARSE) {
#ifdef KOKKOSKERNELS_ENABLE_TPL_CUSPARSE
if constexpr (std::is_same_v<ExecutionSpace, Kokkos::Cuda>) {
using RowMap_Internal =
Expand Down Expand Up @@ -351,7 +351,7 @@ void sptrsv_solve(ExecutionSpace &space, KernelHandle *handle, lno_row_view_t_ r
XType_Internal x_i = x;

auto sptrsv_handle = handle->get_sptrsv_handle();
if (sptrsv_handle->get_algorithm() == KokkosSparse::Experimental::SPTRSVAlgorithm::SPTRSV_CUSPARSE) {
if (sptrsv_handle->get_algorithm() == KokkosSparse::SPTRSVAlgorithm::SPTRSV_CUSPARSE) {
#ifdef KOKKOSKERNELS_ENABLE_TPL_CUSPARSE
if constexpr (std::is_same_v<ExecutionSpace, Kokkos::Cuda>) {
typedef typename KernelHandle::SPTRSVHandleType sptrsvHandleType;
Expand Down Expand Up @@ -673,7 +673,7 @@ void sptrsv_solve_streams(const std::vector<ExecutionSpace> &execspace_v, const
}

if (handle_v[0]->get_sptrsv_handle()->get_algorithm() ==
KokkosSparse::Experimental::SPTRSVAlgorithm::SPTRSV_CUSPARSE) {
KokkosSparse::SPTRSVAlgorithm::SPTRSV_CUSPARSE) {
#ifdef KOKKOSKERNELS_ENABLE_TPL_CUSPARSE
// NOTE: assume all streams use the same SPTRSV_CUSPARSE algo.
KokkosSparse::Impl::sptrsvcuSPARSE_solve_streams<ExecutionSpace, const_handle_type, RowMap_Internal,
Expand Down
52 changes: 28 additions & 24 deletions sparse/src/KokkosSparse_sptrsv_handle.hpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,8 +35,6 @@
#endif

namespace KokkosSparse {
namespace Experimental {

// TODO TP2 algorithm had issues with some offset-ordinal combo to be addressed
// when compiled in Trilinos...
enum class SPTRSVAlgorithm {
Expand All @@ -51,6 +49,12 @@ enum class SPTRSVAlgorithm {
SUPERNODAL_SPMV_DAG
};

namespace Experimental {

using SPTRSVAlgorithm
[[deprecated("KokkosSparse::Experimental::SPTRSVAlgorithm has been moved to KokkosSparse::SPTRSVAlgorithm. Use KokkosSparse::SPTRSVAlgorithm instead.")]]
= KokkosSparse::SPTRSVAlgorithm;

template <class size_type_, class lno_t_, class scalar_t_, class ExecutionSpace, class TemporaryMemorySpace,
class PersistentMemorySpace>
class SPTRSVHandle {
Expand Down Expand Up @@ -268,7 +272,7 @@ class SPTRSVHandle {

bool lower_tri;

SPTRSVAlgorithm algm;
KokkosSparse::SPTRSVAlgorithm algm;

// Symbolic: Level scheduling data
signed_nnz_lno_view_t level_list;
Expand Down Expand Up @@ -300,14 +304,14 @@ class SPTRSVHandle {
bool require_symbolic_chain_phase;

void set_if_algm_require_symb_lvlsched() {
if (algm == SPTRSVAlgorithm::SEQLVLSCHD_RP ||
algm == SPTRSVAlgorithm::SEQLVLSCHD_TP1
if (algm == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_RP ||
algm == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1
/*|| algm == SPTRSVAlgorithm::SEQLVLSCHED_TP2*/
|| algm == SPTRSVAlgorithm::SEQLVLSCHD_TP1CHAIN
|| algm == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1CHAIN
#ifdef KOKKOSKERNELS_ENABLE_SUPERNODAL_SPTRSV
|| algm == SPTRSVAlgorithm::SUPERNODAL_NAIVE || algm == SPTRSVAlgorithm::SUPERNODAL_ETREE ||
algm == SPTRSVAlgorithm::SUPERNODAL_DAG || algm == SPTRSVAlgorithm::SUPERNODAL_SPMV ||
algm == SPTRSVAlgorithm::SUPERNODAL_SPMV_DAG
|| algm == KokkosSparse::SPTRSVAlgorithm::SUPERNODAL_NAIVE || algm == KokkosSparse::SPTRSVAlgorithm::SUPERNODAL_ETREE ||
algm == KokkosSparse::SPTRSVAlgorithm::SUPERNODAL_DAG || algm == KokkosSparse::SPTRSVAlgorithm::SUPERNODAL_SPMV ||
algm == KokkosSparse::SPTRSVAlgorithm::SUPERNODAL_SPMV_DAG
#endif
) {
require_symbolic_lvlsched_phase = true;
Expand All @@ -317,7 +321,7 @@ class SPTRSVHandle {
}

void set_if_algm_require_symb_chain() {
if (algm == KokkosSparse::Experimental::SPTRSVAlgorithm::SEQLVLSCHD_TP1CHAIN) {
if (algm == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1CHAIN) {
require_symbolic_chain_phase = true;
} else {
require_symbolic_chain_phase = false;
Expand Down Expand Up @@ -400,7 +404,7 @@ class SPTRSVHandle {
#endif

public:
SPTRSVHandle(SPTRSVAlgorithm choice, const size_type nrows_, bool lower_tri_, const size_type block_size_ = 0,
SPTRSVHandle(KokkosSparse::SPTRSVAlgorithm choice, const size_type nrows_, bool lower_tri_, const size_type block_size_ = 0,
bool symbolic_complete_ = false, bool numeric_complete_ = false)
:
#ifdef KOKKOSKERNELS_SPTRSV_CUDAGRAPHSUPPORT
Expand Down Expand Up @@ -457,7 +461,7 @@ class SPTRSVHandle {

// Check a few prerequisites before allowing users
// to run with the cusparse implementation of sptrsv.
if (algm == SPTRSVAlgorithm::SPTRSV_CUSPARSE) {
if (algm == KokkosSparse::SPTRSVAlgorithm::SPTRSV_CUSPARSE) {
#if !defined(KOKKOSKERNELS_ENABLE_TPL_CUSPARSE)
throw(
std::runtime_error("sptrsv handle: SPTRSV_CUSPARSE requested but "
Expand All @@ -472,7 +476,7 @@ class SPTRSVHandle {
}

#if defined(__clang__) && defined(KOKKOS_ENABLE_CUDA)
if (algm == SPTRSVAlgorithm::SEQLVLSCHD_TP1 && Kokkos::ArithTraits<scalar_t>::isComplex &&
if (algm == KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1 && Kokkos::ArithTraits<scalar_t>::isComplex &&
std::is_same_v<execution_space, Kokkos::Cuda> && block_size_ != 0) {
throw(std::runtime_error(
"sptrsv handle: SPTRSV may not work with blocks+clang+cuda+complex due to a compiler bug"));
Expand Down Expand Up @@ -845,14 +849,14 @@ class SPTRSVHandle {

// Can change the algorithm to a "Compatible algorithms" - for ease in some
// testing cases
void set_algorithm(SPTRSVAlgorithm choice) {
void set_algorithm(KokkosSparse::SPTRSVAlgorithm choice) {
if (algm != choice) {
algm = choice;
}
}

KOKKOS_INLINE_FUNCTION
SPTRSVAlgorithm get_algorithm() { return algm; }
KokkosSparse::SPTRSVAlgorithm get_algorithm() { return algm; }

KOKKOS_INLINE_FUNCTION
signed_nnz_lno_view_t get_level_list() const { return level_list; }
Expand Down Expand Up @@ -965,15 +969,15 @@ class SPTRSVHandle {
std::string ret_string;

switch (algm) {
case SPTRSVAlgorithm::SEQLVLSCHD_RP: ret_string = "SEQLVLSCHD_RP"; break;
case SPTRSVAlgorithm::SEQLVLSCHD_TP1: ret_string = "SEQLVLSCHD_TP1"; break;
case SPTRSVAlgorithm::SEQLVLSCHD_TP1CHAIN: ret_string = "SEQLVLSCHD_TP1CHAIN"; break;
case SPTRSVAlgorithm::SPTRSV_CUSPARSE: ret_string = "SPTRSV_CUSPARSE"; break;
case SPTRSVAlgorithm::SUPERNODAL_NAIVE: ret_string = "SUPERNODAL_NAIVE"; break;
case SPTRSVAlgorithm::SUPERNODAL_ETREE: ret_string = "SUPERNODAL_ETREE"; break;
case SPTRSVAlgorithm::SUPERNODAL_DAG: ret_string = "SUPERNODAL_DAG"; break;
case SPTRSVAlgorithm::SUPERNODAL_SPMV: ret_string = "SUPERNODAL_SPMV"; break;
case SPTRSVAlgorithm::SUPERNODAL_SPMV_DAG: ret_string = "SUPERNODAL_SPMV_DAG"; break;
case KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_RP: ret_string = "SEQLVLSCHD_RP"; break;
case KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1: ret_string = "SEQLVLSCHD_TP1"; break;
case KokkosSparse::SPTRSVAlgorithm::SEQLVLSCHD_TP1CHAIN: ret_string = "SEQLVLSCHD_TP1CHAIN"; break;
case KokkosSparse::SPTRSVAlgorithm::SPTRSV_CUSPARSE: ret_string = "SPTRSV_CUSPARSE"; break;
case KokkosSparse::SPTRSVAlgorithm::SUPERNODAL_NAIVE: ret_string = "SUPERNODAL_NAIVE"; break;
case KokkosSparse::SPTRSVAlgorithm::SUPERNODAL_ETREE: ret_string = "SUPERNODAL_ETREE"; break;
case KokkosSparse::SPTRSVAlgorithm::SUPERNODAL_DAG: ret_string = "SUPERNODAL_DAG"; break;
case KokkosSparse::SPTRSVAlgorithm::SUPERNODAL_SPMV: ret_string = "SUPERNODAL_SPMV"; break;
case KokkosSparse::SPTRSVAlgorithm::SUPERNODAL_SPMV_DAG: ret_string = "SUPERNODAL_SPMV_DAG"; break;
default: KK_REQUIRE_MSG(false, "Unhandled sptrsv algorithm: " << static_cast<int>(algm));
}

Expand Down
Loading