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KokkosSparse_spmv.hpp
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/*
//@HEADER
// ************************************************************************
//
// Kokkos v. 3.0
// Copyright (2020) National Technology & Engineering
// Solutions of Sandia, LLC (NTESS).
//
// Under the terms of Contract DE-NA0003525 with NTESS,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY NTESS "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NTESS OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Siva Rajamanickam (srajama@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
/// \file
/// \brief Interfaces for the Kokkos sparse-matrix-vector multiply
///
#ifndef KOKKOSSPARSE_SPMV_HPP_
#define KOKKOSSPARSE_SPMV_HPP_
#include "KokkosKernels_helpers.hpp"
#include "KokkosKernels_Controls.hpp"
#include "KokkosSparse_spmv_spec.hpp"
#include "KokkosSparse_spmv_struct_spec.hpp"
#include "KokkosSparse_spmv_blockcrsmatrix_spec.hpp"
#include "KokkosSparse_spmv_bsrmatrix_spec.hpp"
#include <type_traits>
#include "KokkosSparse_BsrMatrix.hpp"
#include "KokkosSparse_CrsMatrix.hpp"
#include "KokkosSparse_BlockCrsMatrix.hpp"
#include "KokkosBlas1_scal.hpp"
#include "KokkosKernels_Utils.hpp"
#include "KokkosKernels_Error.hpp"
namespace KokkosSparse {
namespace {
struct RANK_ONE {};
struct RANK_TWO {};
} // namespace
/// \brief Tag-dispatch for \c Kokkos sparse matrix-vector multiply on single
/// vector
///
///
/// \tparam AMatrix A KokkosSparse::CrsMatrix, KokkosSparse::BlockCrsMatrix or
/// KokkosSparse::BsrMatrix
///
/// \param controls [in] kokkos-kernels control structure.
/// \param mode [in]
/// \param alpha [in] Scalar multiplier for the matrix A.
/// \param A [in] The sparse matrix A.
/// \param x [in] A vector.
/// \param beta [in] Scalar multiplier for the multivector y.
/// \param y [in/out] vector.
/// \param RANK_ONE tag dispatch
///
#ifdef DOXY // documentation version
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
#else
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector,
typename std::enable_if<
KokkosSparse::is_crs_matrix<AMatrix>::value>::type* = nullptr>
#endif
void spmv(KokkosKernels::Experimental::Controls controls, const char mode[],
const AlphaType& alpha, const AMatrix& A, const XVector& x,
const BetaType& beta, const YVector& y, const RANK_ONE) {
// Make sure that x and y have the same rank.
static_assert(
static_cast<int>(XVector::rank) == static_cast<int>(YVector::rank),
"KokkosSparse::spmv: Vector ranks do not match.");
// Make sure that x (and therefore y) is rank 1.
static_assert(static_cast<int>(XVector::rank) == 1,
"KokkosSparse::spmv: Both Vector inputs must have rank 1 "
"in order to call this specialization of spmv.");
// Make sure that y is non-const.
static_assert(std::is_same<typename YVector::value_type,
typename YVector::non_const_value_type>::value,
"KokkosSparse::spmv: Output Vector must be non-const.");
// Check compatibility of dimensions at run time.
if ((mode[0] == NoTranspose[0]) || (mode[0] == Conjugate[0])) {
if ((x.extent(1) != y.extent(1)) ||
(static_cast<size_t>(A.numCols()) > static_cast<size_t>(x.extent(0))) ||
(static_cast<size_t>(A.numRows()) > static_cast<size_t>(y.extent(0)))) {
std::ostringstream os;
os << "KokkosSparse::spmv: Dimensions do not match: "
<< ", A: " << A.numRows() << " x " << A.numCols()
<< ", x: " << x.extent(0) << " x " << x.extent(1)
<< ", y: " << y.extent(0) << " x " << y.extent(1);
KokkosKernels::Impl::throw_runtime_exception(os.str());
}
} else {
if ((x.extent(1) != y.extent(1)) ||
(static_cast<size_t>(A.numCols()) > static_cast<size_t>(y.extent(0))) ||
(static_cast<size_t>(A.numRows()) > static_cast<size_t>(x.extent(0)))) {
std::ostringstream os;
os << "KokkosSparse::spmv: Dimensions do not match (transpose): "
<< ", A: " << A.numRows() << " x " << A.numCols()
<< ", x: " << x.extent(0) << " x " << x.extent(1)
<< ", y: " << y.extent(0) << " x " << y.extent(1);
KokkosKernels::Impl::throw_runtime_exception(os.str());
}
}
typedef KokkosSparse::CrsMatrix<
typename AMatrix::const_value_type, typename AMatrix::const_ordinal_type,
typename AMatrix::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged>,
typename AMatrix::const_size_type>
AMatrix_Internal;
typedef Kokkos::View<
typename XVector::const_value_type*,
typename KokkosKernels::Impl::GetUnifiedLayout<XVector>::array_layout,
typename XVector::device_type,
Kokkos::MemoryTraits<Kokkos::Unmanaged | Kokkos::RandomAccess> >
XVector_Internal;
typedef Kokkos::View<
typename YVector::non_const_value_type*,
typename KokkosKernels::Impl::GetUnifiedLayout<YVector>::array_layout,
typename YVector::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> >
YVector_Internal;
AMatrix_Internal A_i = A;
XVector_Internal x_i = x;
YVector_Internal y_i = y;
if (alpha == Kokkos::ArithTraits<AlphaType>::zero() || A_i.numRows() == 0 ||
A_i.numCols() == 0 || A_i.nnz() == 0) {
// This is required to maintain semantics of KokkosKernels native SpMV:
// if y contains NaN but beta = 0, the result y should be filled with 0.
// For example, this is useful for passing in uninitialized y and beta=0.
if (beta == Kokkos::ArithTraits<BetaType>::zero())
Kokkos::deep_copy(y_i, Kokkos::ArithTraits<BetaType>::zero());
else
KokkosBlas::scal(y_i, beta, y_i);
return;
}
// Whether to call KokkosKernel's native implementation, even if a TPL impl is
// available
bool useFallback = controls.isParameter("algorithm") &&
controls.getParameter("algorithm") == "native";
#ifdef KOKKOSKERNELS_ENABLE_TPL_CUSPARSE
// cuSPARSE does not support the conjugate mode (C), and cuSPARSE 9 only
// supports the normal (N) mode.
if (std::is_same<typename AMatrix_Internal::memory_space,
Kokkos::CudaSpace>::value ||
std::is_same<typename AMatrix_Internal::memory_space,
Kokkos::CudaUVMSpace>::value) {
#if (9000 <= CUDA_VERSION)
useFallback = useFallback || (mode[0] != NoTranspose[0]);
#endif
#if defined(CUSPARSE_VERSION) && (10300 <= CUSPARSE_VERSION)
useFallback = useFallback || (mode[0] == Conjugate[0]);
#endif
}
#endif
#ifdef KOKKOSKERNELS_ENABLE_TPL_ROCSPARSE
if (std::is_same<typename AMatrix_Internal::memory_space,
Kokkos::Experimental::HIPSpace>::value) {
useFallback = useFallback || (mode[0] != NoTranspose[0]);
}
#endif
#ifdef KOKKOSKERNELS_ENABLE_TPL_MKL
if (std::is_same<typename AMatrix_Internal::memory_space,
Kokkos::HostSpace>::value) {
useFallback = useFallback || (mode[0] == Conjugate[0]);
}
#endif
if (useFallback) {
// Explicitly call the non-TPL SPMV implementation
std::string label =
"KokkosSparse::spmv[NATIVE," +
Kokkos::ArithTraits<
typename AMatrix_Internal::non_const_value_type>::name() +
"]";
Kokkos::Profiling::pushRegion(label);
Impl::SPMV<typename AMatrix_Internal::value_type,
typename AMatrix_Internal::ordinal_type,
typename AMatrix_Internal::device_type,
typename AMatrix_Internal::memory_traits,
typename AMatrix_Internal::size_type,
typename XVector_Internal::value_type*,
typename XVector_Internal::array_layout,
typename XVector_Internal::device_type,
typename XVector_Internal::memory_traits,
typename YVector_Internal::value_type*,
typename YVector_Internal::array_layout,
typename YVector_Internal::device_type,
typename YVector_Internal::memory_traits, false>::spmv(controls,
mode,
alpha,
A_i, x_i,
beta,
y_i);
Kokkos::Profiling::popRegion();
} else {
// note: the cuSPARSE spmv wrapper defines a profiling region, so one is not
// needed here.
Impl::SPMV<typename AMatrix_Internal::value_type,
typename AMatrix_Internal::ordinal_type,
typename AMatrix_Internal::device_type,
typename AMatrix_Internal::memory_traits,
typename AMatrix_Internal::size_type,
typename XVector_Internal::value_type*,
typename XVector_Internal::array_layout,
typename XVector_Internal::device_type,
typename XVector_Internal::memory_traits,
typename YVector_Internal::value_type*,
typename YVector_Internal::array_layout,
typename YVector_Internal::device_type,
typename YVector_Internal::memory_traits>::spmv(controls, mode,
alpha, A_i, x_i,
beta, y_i);
}
}
#ifdef DOXY // hide SFINAE from documentation
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
#else
template <
class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector,
typename std::enable_if<KokkosSparse::Experimental::is_block_crs_matrix<
AMatrix>::value>::type* = nullptr>
#endif
void spmv(KokkosKernels::Experimental::Controls controls, const char mode[],
const AlphaType& alpha, const AMatrix& A, const XVector& x,
const BetaType& beta, const YVector& y, const RANK_ONE) {
// Make sure that x and y have the same rank.
static_assert(
static_cast<int>(XVector::rank) == static_cast<int>(YVector::rank),
"KokkosSparse::spmv: Vector ranks do not match.");
// Make sure that x (and therefore y) is rank 1.
static_assert(static_cast<int>(XVector::rank) == 1,
"KokkosSparse::spmv: Both Vector inputs must have rank 1 "
"in order to call this specialization of spmv.");
// Make sure that y is non-const.
static_assert(std::is_same<typename YVector::value_type,
typename YVector::non_const_value_type>::value,
"KokkosSparse::spmv: Output Vector must be non-const.");
//
if (A.blockDim() == 1) {
KokkosSparse::CrsMatrix<
typename AMatrix::value_type, typename AMatrix::ordinal_type,
typename AMatrix::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged>,
typename AMatrix::size_type>
Acrs("bsr_to_crs", A.numCols(), A.values, A.graph);
KokkosSparse::spmv(controls, mode, alpha, Acrs, x, beta, y, RANK_ONE());
return;
}
// Check compatibility of dimensions at run time.
if ((mode[0] == NoTranspose[0]) || (mode[0] == Conjugate[0])) {
if ((x.extent(1) != y.extent(1)) ||
(static_cast<size_t>(A.numCols() * A.blockDim()) !=
static_cast<size_t>(x.extent(0))) ||
(static_cast<size_t>(A.numRows() * A.blockDim()) !=
static_cast<size_t>(y.extent(0)))) {
std::ostringstream os;
os << "KokkosSparse::spmv (BlockCrsMatrix): Dimensions do not match: "
<< ", A: " << A.numRows() * A.blockDim() << " x "
<< A.numCols() * A.blockDim() << ", x: " << x.extent(0) << " x "
<< x.extent(1) << ", y: " << y.extent(0) << " x " << y.extent(1);
KokkosKernels::Impl::throw_runtime_exception(os.str());
}
} else {
if ((x.extent(1) != y.extent(1)) ||
(static_cast<size_t>(A.numCols() * A.blockDim()) !=
static_cast<size_t>(y.extent(0))) ||
(static_cast<size_t>(A.numRows() * A.blockDim()) !=
static_cast<size_t>(x.extent(0)))) {
std::ostringstream os;
os << "KokkosSparse::spmv (BlockCrsMatrix): Dimensions do not match "
"(transpose): "
<< ", A: " << A.numRows() * A.blockDim() << " x "
<< A.numCols() * A.blockDim() << ", x: " << x.extent(0) << " x "
<< x.extent(1) << ", y: " << y.extent(0) << " x " << y.extent(1);
KokkosKernels::Impl::throw_runtime_exception(os.str());
}
}
//
typedef KokkosSparse::Experimental::BlockCrsMatrix<
typename AMatrix::const_value_type, typename AMatrix::const_ordinal_type,
typename AMatrix::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged>,
typename AMatrix::const_size_type>
AMatrix_Internal;
typedef Kokkos::View<
typename XVector::const_value_type*,
typename KokkosKernels::Impl::GetUnifiedLayout<XVector>::array_layout,
typename XVector::device_type,
Kokkos::MemoryTraits<Kokkos::Unmanaged | Kokkos::RandomAccess> >
XVector_Internal;
typedef Kokkos::View<
typename YVector::non_const_value_type*,
typename KokkosKernels::Impl::GetUnifiedLayout<YVector>::array_layout,
typename YVector::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> >
YVector_Internal;
AMatrix_Internal A_i(A);
XVector_Internal x_i(x);
YVector_Internal y_i(y);
#define __SPMV_TYPES__ \
typename AMatrix_Internal::const_value_type, \
typename AMatrix_Internal::const_ordinal_type, \
typename AMatrix_Internal::device_type, \
typename AMatrix_Internal::memory_traits, \
typename AMatrix_Internal::const_size_type, \
typename XVector_Internal::const_value_type*, \
typename XVector_Internal::array_layout, \
typename XVector_Internal::device_type, \
typename XVector_Internal::memory_traits, \
typename YVector_Internal::value_type*, \
typename YVector_Internal::array_layout, \
typename YVector_Internal::device_type, \
typename YVector_Internal::memory_traits
constexpr bool eti_spec_avail =
KokkosSparse::Experimental::Impl::spmv_blockcrsmatrix_eti_spec_avail<
__SPMV_TYPES__>::value;
Experimental::Impl::SPMV_BLOCKCRSMATRIX<
__SPMV_TYPES__, eti_spec_avail>::spmv_blockcrsmatrix(controls, mode,
alpha, A_i, x_i,
beta, y_i);
#undef __SPMV_TYPES__
}
#ifdef DOXY // hide SFINAE
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
#else
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector,
typename std::enable_if<KokkosSparse::Experimental::is_bsr_matrix<
AMatrix>::value>::type* = nullptr>
#endif
void spmv(KokkosKernels::Experimental::Controls controls, const char mode[],
const AlphaType& alpha, const AMatrix& A, const XVector& x,
const BetaType& beta, const YVector& y, const RANK_ONE) {
// Make sure that x and y have the same rank.
static_assert(
static_cast<int>(XVector::rank) == static_cast<int>(YVector::rank),
"KokkosSparse::spmv: Vector ranks do not match.");
// Make sure that x (and therefore y) is rank 1.
static_assert(static_cast<int>(XVector::rank) == 1,
"KokkosSparse::spmv: Both Vector inputs must have rank 1 "
"in order to call this specialization of spmv.");
// Make sure that y is non-const.
static_assert(std::is_same<typename YVector::value_type,
typename YVector::non_const_value_type>::value,
"KokkosSparse::spmv: Output Vector must be non-const.");
//
if (A.blockDim() == 1) {
KokkosSparse::CrsMatrix<
typename AMatrix::value_type, typename AMatrix::ordinal_type,
typename AMatrix::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged>,
typename AMatrix::size_type>
Acrs("bsr_to_crs", A.numCols(), A.values, A.graph);
KokkosSparse::spmv(controls, mode, alpha, Acrs, x, beta, y, RANK_ONE());
return;
}
// Check compatibility of dimensions at run time.
if ((mode[0] == NoTranspose[0]) || (mode[0] == Conjugate[0])) {
if ((x.extent(1) != y.extent(1)) ||
(static_cast<size_t>(A.numCols() * A.blockDim()) !=
static_cast<size_t>(x.extent(0))) ||
(static_cast<size_t>(A.numRows() * A.blockDim()) !=
static_cast<size_t>(y.extent(0)))) {
std::ostringstream os;
os << "KokkosSparse::spmv (BsrMatrix): Dimensions do not match: "
<< ", A: " << A.numRows() * A.blockDim() << " x "
<< A.numCols() * A.blockDim() << ", x: " << x.extent(0) << " x "
<< x.extent(1) << ", y: " << y.extent(0) << " x " << y.extent(1);
KokkosKernels::Impl::throw_runtime_exception(os.str());
}
} else {
if ((x.extent(1) != y.extent(1)) ||
(static_cast<size_t>(A.numCols() * A.blockDim()) !=
static_cast<size_t>(y.extent(0))) ||
(static_cast<size_t>(A.numRows() * A.blockDim()) !=
static_cast<size_t>(x.extent(0)))) {
std::ostringstream os;
os << "KokkosSparse::spmv (BsrMatrix): Dimensions do not match "
"(transpose): "
<< ", A: " << A.numRows() * A.blockDim() << " x "
<< A.numCols() * A.blockDim() << ", x: " << x.extent(0) << " x "
<< x.extent(1) << ", y: " << y.extent(0) << " x " << y.extent(1);
KokkosKernels::Impl::throw_runtime_exception(os.str());
}
}
//
typedef KokkosSparse::Experimental::BsrMatrix<
typename AMatrix::const_value_type, typename AMatrix::const_ordinal_type,
typename AMatrix::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged>,
typename AMatrix::const_size_type>
AMatrix_Internal;
typedef Kokkos::View<
typename XVector::const_value_type*,
typename KokkosKernels::Impl::GetUnifiedLayout<XVector>::array_layout,
typename XVector::device_type,
Kokkos::MemoryTraits<Kokkos::Unmanaged | Kokkos::RandomAccess> >
XVector_Internal;
typedef Kokkos::View<
typename YVector::non_const_value_type*,
typename KokkosKernels::Impl::GetUnifiedLayout<YVector>::array_layout,
typename YVector::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> >
YVector_Internal;
AMatrix_Internal A_i(A);
XVector_Internal x_i(x);
YVector_Internal y_i(y);
if (alpha == Kokkos::ArithTraits<AlphaType>::zero() || A_i.numRows() == 0 ||
A_i.numCols() == 0 || A_i.nnz() == 0) {
// This is required to maintain semantics of KokkosKernels native SpMV:
// if y contains NaN but beta = 0, the result y should be filled with 0.
// For example, this is useful for passing in uninitialized y and beta=0.
if (beta == Kokkos::ArithTraits<BetaType>::zero())
Kokkos::deep_copy(y_i, Kokkos::ArithTraits<BetaType>::zero());
else
KokkosBlas::scal(y_i, beta, y_i);
return;
}
//
// Whether to call KokkosKernel's native implementation, even if a TPL impl is
// available
bool useFallback = controls.isParameter("algorithm") &&
controls.getParameter("algorithm") == "native";
#ifdef KOKKOSKERNELS_ENABLE_TPL_CUSPARSE
// cuSPARSE does not support the modes (C), (T), (H)
if (std::is_same<typename AMatrix_Internal::memory_space,
Kokkos::CudaSpace>::value ||
std::is_same<typename AMatrix_Internal::memory_space,
Kokkos::CudaUVMSpace>::value) {
useFallback = useFallback || (mode[0] != NoTranspose[0]);
}
#endif
#ifdef KOKKOSKERNELS_ENABLE_TPL_MKL
if (std::is_same<typename AMatrix_Internal::memory_space,
Kokkos::HostSpace>::value) {
useFallback = useFallback || (mode[0] == Conjugate[0]);
}
#endif
if (useFallback) {
// Explicitly call the non-TPL SPMV_BSRMATRIX implementation
std::string label =
"KokkosSparse::spmv[NATIVE,BSRMATRIX," +
Kokkos::ArithTraits<
typename AMatrix_Internal::non_const_value_type>::name() +
"]";
Kokkos::Profiling::pushRegion(label);
Experimental::Impl::SPMV_BSRMATRIX<
typename AMatrix_Internal::const_value_type,
typename AMatrix_Internal::const_ordinal_type,
typename AMatrix_Internal::device_type,
typename AMatrix_Internal::memory_traits,
typename AMatrix_Internal::const_size_type,
typename XVector_Internal::const_value_type*,
typename XVector_Internal::array_layout,
typename XVector_Internal::device_type,
typename XVector_Internal::memory_traits,
typename YVector_Internal::value_type*,
typename YVector_Internal::array_layout,
typename YVector_Internal::device_type,
typename YVector_Internal::memory_traits,
false>::spmv_bsrmatrix(controls, mode, alpha, A_i, x_i, beta, y_i);
Kokkos::Profiling::popRegion();
} else {
#define __SPMV_TYPES__ \
typename AMatrix_Internal::const_value_type, \
typename AMatrix_Internal::const_ordinal_type, \
typename AMatrix_Internal::device_type, \
typename AMatrix_Internal::memory_traits, \
typename AMatrix_Internal::const_size_type, \
typename XVector_Internal::const_value_type*, \
typename XVector_Internal::array_layout, \
typename XVector_Internal::device_type, \
typename XVector_Internal::memory_traits, \
typename YVector_Internal::value_type*, \
typename YVector_Internal::array_layout, \
typename YVector_Internal::device_type, \
typename YVector_Internal::memory_traits
constexpr bool tpl_spec_avail =
KokkosSparse::Experimental::Impl::spmv_bsrmatrix_tpl_spec_avail<
__SPMV_TYPES__>::value;
constexpr bool eti_spec_avail =
tpl_spec_avail
? KOKKOSKERNELS_IMPL_COMPILE_LIBRARY /* force FALSE in app/test */
: KokkosSparse::Experimental::Impl::spmv_bsrmatrix_eti_spec_avail<
__SPMV_TYPES__>::value;
Experimental::Impl::SPMV_BSRMATRIX<__SPMV_TYPES__, tpl_spec_avail,
eti_spec_avail>::spmv_bsrmatrix(controls,
mode,
alpha,
A_i, x_i,
beta,
y_i);
#undef __SPMV_TYPES__
}
}
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector, class XLayout = typename XVector::array_layout>
struct SPMV2D1D {
static bool spmv2d1d(const char mode[], const AlphaType& alpha,
const AMatrix& A, const XVector& x, const BetaType& beta,
const YVector& y);
};
#if defined(KOKKOSKERNELS_INST_LAYOUTSTRIDE) || !defined(KOKKOSKERNELS_ETI_ONLY)
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
struct SPMV2D1D<AlphaType, AMatrix, XVector, BetaType, YVector,
Kokkos::LayoutStride> {
static bool spmv2d1d(const char mode[], const AlphaType& alpha,
const AMatrix& A, const XVector& x, const BetaType& beta,
const YVector& y) {
spmv(mode, alpha, A, x, beta, y);
return true;
}
#else
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
struct SPMV2D1D<AlphaType, AMatrix, XVector, BetaType, YVector,
Kokkos::LayoutStride> {
static bool spmv2d1d(const char /*mode*/[], const AlphaType& /*alpha*/,
const AMatrix& /*A*/, const XVector& /*x*/,
const BetaType& /*beta*/, const YVector& /*y*/) {
return false;
}
#endif
};
#if defined(KOKKOSKERNELS_INST_LAYOUTLEFT) || !defined(KOKKOSKERNELS_ETI_ONLY)
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
struct SPMV2D1D<AlphaType, AMatrix, XVector, BetaType, YVector,
Kokkos::LayoutLeft> {
static bool spmv2d1d(const char mode[], const AlphaType& alpha,
const AMatrix& A, const XVector& x, const BetaType& beta,
const YVector& y) {
spmv(mode, alpha, A, x, beta, y);
return true;
}
#else
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
struct SPMV2D1D<AlphaType, AMatrix, XVector, BetaType, YVector,
Kokkos::LayoutLeft> {
static bool spmv2d1d(const char /*mode*/[], const AlphaType& /*alpha*/,
const AMatrix& /*A*/, const XVector& /*x*/,
const BetaType& /*beta*/, const YVector& /*y*/) {
return false;
}
#endif
};
#if defined(KOKKOSKERNELS_INST_LAYOUTRIGHT) || !defined(KOKKOSKERNELS_ETI_ONLY)
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
struct SPMV2D1D<AlphaType, AMatrix, XVector, BetaType, YVector,
Kokkos::LayoutRight> {
static bool spmv2d1d(const char mode[], const AlphaType& alpha,
const AMatrix& A, const XVector& x, const BetaType& beta,
const YVector& y) {
spmv(mode, alpha, A, x, beta, y);
return true;
}
#else
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
struct SPMV2D1D<AlphaType, AMatrix, XVector, BetaType, YVector,
Kokkos::LayoutRight> {
static bool spmv2d1d(const char /*mode*/[], const AlphaType& /*alpha*/,
const AMatrix& /*A*/, const XVector& /*x*/,
const BetaType& /*beta*/, const YVector& /*y*/) {
return false;
}
#endif
};
/// \brief Tag-dispatch sparse matrix-vector multiply on multivectors
///
/// \tparam AMatrix A KokkosSparse::CrsMatrix,
/// KokkosSparse::Experimental::BsrMatrix, or
/// KokkosSparse::Experimental::BlockCrsMatrix
///
/// \param controls [in] kokkos-kernels control structure.
/// \param mode [in] \c "N" for no transpose
/// \param alpha [in] Scalar multiplier for the matrix A.
/// \param A [in] The sparse matrix A.
/// \param x [in] A multivector (rank-2 Kokkos::View).
/// \param beta [in] Scalar multiplier for the multivector y.
/// \param y [in/out] multivector (rank-2 Kokkos::View).
/// \param RANK_TWO tag-dispatch
///
#ifdef DOXY
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
#else
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector,
typename std::enable_if<
KokkosSparse::is_crs_matrix<AMatrix>::value>::type* = nullptr>
#endif
void spmv(KokkosKernels::Experimental::Controls /*controls*/, const char mode[],
const AlphaType& alpha, const AMatrix& A, const XVector& x,
const BetaType& beta, const YVector& y, const RANK_TWO) {
// Make sure that x and y have the same rank.
static_assert(
static_cast<int>(XVector::rank) == static_cast<int>(YVector::rank),
"KokkosSparse::spmv: Vector ranks do not match.");
// Make sure that x (and therefore y) is rank 2.
static_assert(static_cast<int>(XVector::rank) == 2,
"KokkosSparse::spmv: Both Vector inputs must have rank 2 "
"in order to call this specialization of spmv.");
// Make sure that y is non-const.
static_assert(std::is_same<typename YVector::value_type,
typename YVector::non_const_value_type>::value,
"KokkosSparse::spmv: Output Vector must be non-const.");
// Check compatibility of dimensions at run time.
if ((mode[0] == NoTranspose[0]) || (mode[0] == Conjugate[0])) {
if ((x.extent(1) != y.extent(1)) ||
(static_cast<size_t>(A.numCols()) > static_cast<size_t>(x.extent(0))) ||
(static_cast<size_t>(A.numRows()) > static_cast<size_t>(y.extent(0)))) {
std::ostringstream os;
os << "KokkosBlas::spmv: Dimensions do not match: "
<< ", A: " << A.numRows() << " x " << A.numCols()
<< ", x: " << x.extent(0) << " x " << x.extent(1)
<< ", y: " << y.extent(0) << " x " << y.extent(1);
KokkosKernels::Impl::throw_runtime_exception(os.str());
}
} else {
if ((x.extent(1) != y.extent(1)) ||
(static_cast<size_t>(A.numCols()) > static_cast<size_t>(y.extent(0))) ||
(static_cast<size_t>(A.numRows()) > static_cast<size_t>(x.extent(0)))) {
std::ostringstream os;
os << "KokkosBlas::spmv: Dimensions do not match (transpose): "
<< ", A: " << A.numRows() << " x " << A.numCols()
<< ", x: " << x.extent(0) << " x " << x.extent(1)
<< ", y: " << y.extent(0) << " x " << y.extent(1);
KokkosKernels::Impl::throw_runtime_exception(os.str());
}
}
typedef KokkosSparse::CrsMatrix<
typename AMatrix::const_value_type, typename AMatrix::const_ordinal_type,
typename AMatrix::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged>,
typename AMatrix::const_size_type>
AMatrix_Internal;
AMatrix_Internal A_i = A;
// Call single-vector version if appropriate
if (x.extent(1) == 1) {
typedef Kokkos::View<
typename XVector::const_value_type*,
typename KokkosKernels::Impl::GetUnifiedLayout<XVector>::array_layout,
typename XVector::device_type,
Kokkos::MemoryTraits<Kokkos::Unmanaged | Kokkos::RandomAccess> >
XVector_SubInternal;
typedef Kokkos::View<
typename YVector::non_const_value_type*,
typename KokkosKernels::Impl::GetUnifiedLayout<YVector>::array_layout,
typename YVector::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> >
YVector_SubInternal;
XVector_SubInternal x_i = Kokkos::subview(x, Kokkos::ALL(), 0);
YVector_SubInternal y_i = Kokkos::subview(y, Kokkos::ALL(), 0);
// spmv (mode, alpha, A, x_i, beta, y_i);
using impl_type = SPMV2D1D<AlphaType, AMatrix_Internal, XVector_SubInternal,
BetaType, YVector_SubInternal,
typename XVector_SubInternal::array_layout>;
if (impl_type::spmv2d1d(mode, alpha, A, x_i, beta, y_i)) {
return;
}
}
{
typedef Kokkos::View<
typename XVector::const_value_type**, typename XVector::array_layout,
typename XVector::device_type,
Kokkos::MemoryTraits<Kokkos::Unmanaged | Kokkos::RandomAccess> >
XVector_Internal;
typedef Kokkos::View<typename YVector::non_const_value_type**,
typename YVector::array_layout,
typename YVector::device_type,
Kokkos::MemoryTraits<Kokkos::Unmanaged> >
YVector_Internal;
XVector_Internal x_i = x;
YVector_Internal y_i = y;
return Impl::SPMV_MV<
typename AMatrix_Internal::value_type,
typename AMatrix_Internal::ordinal_type,
typename AMatrix_Internal::device_type,
typename AMatrix_Internal::memory_traits,
typename AMatrix_Internal::size_type,
typename XVector_Internal::value_type**,
typename XVector_Internal::array_layout,
typename XVector_Internal::device_type,
typename XVector_Internal::memory_traits,
typename YVector_Internal::value_type**,
typename YVector_Internal::array_layout,
typename YVector_Internal::device_type,
typename YVector_Internal::memory_traits>::spmv_mv(mode, alpha, A_i,
x_i, beta, y_i);
}
}
#ifdef DOXY // hide SFINAE
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
#else
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector,
typename std::enable_if<KokkosSparse::Experimental::is_bsr_matrix<
AMatrix>::value>::type* = nullptr>
#endif
void spmv(KokkosKernels::Experimental::Controls controls, const char mode[],
const AlphaType& alpha, const AMatrix& A, const XVector& x,
const BetaType& beta, const YVector& y, const RANK_TWO) {
// Make sure that x and y have the same rank.
static_assert(
static_cast<int>(XVector::rank) == static_cast<int>(YVector::rank),
"KokkosSparse::spmv: Vector ranks do not match.");
// Make sure that x (and therefore y) is rank 2.
static_assert(static_cast<int>(XVector::rank) == 2,
"KokkosSparse::spmv: Both Vector inputs must have rank 2 "
"in order to call this specialization of spmv.");
// Make sure that y is non-const.
static_assert(std::is_same<typename YVector::value_type,
typename YVector::non_const_value_type>::value,
"KokkosSparse::spmv: Output Vector must be non-const.");
//
if (A.blockDim() == 1) {
KokkosSparse::CrsMatrix<
typename AMatrix::value_type, typename AMatrix::ordinal_type,
typename AMatrix::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged>,
typename AMatrix::size_type>
Acrs("bsr_to_crs", A.numCols(), A.values, A.graph);
KokkosSparse::spmv(controls, mode, alpha, Acrs, x, beta, y, RANK_TWO());
return;
}
// Check compatibility of dimensions at run time.
if ((mode[0] == NoTranspose[0]) || (mode[0] == Conjugate[0])) {
if ((x.extent(1) != y.extent(1)) ||
(static_cast<size_t>(A.numCols() * A.blockDim()) !=
static_cast<size_t>(x.extent(0))) ||
(static_cast<size_t>(A.numRows() * A.blockDim()) !=
static_cast<size_t>(y.extent(0)))) {
std::ostringstream os;
os << "KokkosSparse::spmv (BsrMatrix): Dimensions do not match: "
<< ", A: " << A.numRows() * A.blockDim() << " x "
<< A.numCols() * A.blockDim() << ", x: " << x.extent(0) << " x "
<< x.extent(1) << ", y: " << y.extent(0) << " x " << y.extent(1);
KokkosKernels::Impl::throw_runtime_exception(os.str());
}
} else {
if ((x.extent(1) != y.extent(1)) ||
(static_cast<size_t>(A.numCols() * A.blockDim()) !=
static_cast<size_t>(y.extent(0))) ||
(static_cast<size_t>(A.numRows() * A.blockDim()) !=
static_cast<size_t>(x.extent(0)))) {
std::ostringstream os;
os << "KokkosSparse::spmv (BsrMatrix): Dimensions do not match "
"(transpose): "
<< ", A: " << A.numRows() * A.blockDim() << " x "
<< A.numCols() * A.blockDim() << ", x: " << x.extent(0) << " x "
<< x.extent(1) << ", y: " << y.extent(0) << " x " << y.extent(1);
KokkosKernels::Impl::throw_runtime_exception(os.str());
}
}
//
typedef KokkosSparse::Experimental::BsrMatrix<
typename AMatrix::const_value_type, typename AMatrix::const_ordinal_type,
typename AMatrix::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged>,
typename AMatrix::const_size_type>
AMatrix_Internal;
AMatrix_Internal A_i(A);
typedef Kokkos::View<
typename XVector::const_value_type**,
typename KokkosKernels::Impl::GetUnifiedLayout<XVector>::array_layout,
typename XVector::device_type,
Kokkos::MemoryTraits<Kokkos::Unmanaged | Kokkos::RandomAccess> >
XVector_Internal;
XVector_Internal x_i(x);
typedef Kokkos::View<
typename YVector::non_const_value_type**,
typename KokkosKernels::Impl::GetUnifiedLayout<YVector>::array_layout,
typename YVector::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> >
YVector_Internal;
YVector_Internal y_i(y);
//
if (alpha == Kokkos::ArithTraits<AlphaType>::zero() || A_i.numRows() == 0 ||
A_i.numCols() == 0 || A_i.nnz() == 0) {
// This is required to maintain semantics of KokkosKernels native SpMV:
// if y contains NaN but beta = 0, the result y should be filled with 0.
// For example, this is useful for passing in uninitialized y and beta=0.
if (beta == Kokkos::ArithTraits<BetaType>::zero())
Kokkos::deep_copy(y_i, Kokkos::ArithTraits<BetaType>::zero());
else
KokkosBlas::scal(y_i, beta, y_i);
return;
}
//
// Call single-vector version if appropriate
//
if (x.extent(1) == 1) {
typedef Kokkos::View<
typename XVector::const_value_type*,
typename KokkosKernels::Impl::GetUnifiedLayout<XVector>::array_layout,
typename XVector::device_type,
Kokkos::MemoryTraits<Kokkos::Unmanaged | Kokkos::RandomAccess> >
XVector_SubInternal;
typedef Kokkos::View<
typename YVector::non_const_value_type*,
typename KokkosKernels::Impl::GetUnifiedLayout<YVector>::array_layout,
typename YVector::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> >
YVector_SubInternal;
XVector_SubInternal x_0 = Kokkos::subview(x_i, Kokkos::ALL(), 0);
YVector_SubInternal y_0 = Kokkos::subview(y_i, Kokkos::ALL(), 0);
return spmv(controls, mode, alpha, A_i, x_0, beta, y_0, RANK_ONE());
}
//
// Whether to call KokkosKernel's native implementation, even if a TPL impl is
// available
bool useFallback = controls.isParameter("algorithm") &&
controls.getParameter("algorithm") == "native";
#ifdef KOKKOSKERNELS_ENABLE_TPL_CUSPARSE
// cuSPARSE does not support the modes (C), (T), (H)
if (std::is_same<typename AMatrix_Internal::memory_space,
Kokkos::CudaSpace>::value ||
std::is_same<typename AMatrix_Internal::memory_space,
Kokkos::CudaUVMSpace>::value) {
useFallback = useFallback || (mode[0] != NoTranspose[0]);
}
#endif
#ifdef KOKKOSKERNELS_ENABLE_TPL_MKL
if (std::is_same<typename AMatrix_Internal::memory_space,
Kokkos::HostSpace>::value) {
useFallback = useFallback || (mode[0] == Conjugate[0]);
}
#endif
if (useFallback) {
// Explicitly call the non-TPL SPMV_BSRMATRIX implementation
std::string label =
"KokkosSparse::spmv[NATIVE,BSMATRIX," +
Kokkos::ArithTraits<
typename AMatrix_Internal::non_const_value_type>::name() +
"]";
Kokkos::Profiling::pushRegion(label);
Experimental::Impl::SPMV_MV_BSRMATRIX<
typename AMatrix_Internal::const_value_type,
typename AMatrix_Internal::const_ordinal_type,
typename AMatrix_Internal::device_type,
typename AMatrix_Internal::memory_traits,
typename AMatrix_Internal::const_size_type,
typename XVector_Internal::const_value_type**,
typename XVector_Internal::array_layout,
typename XVector_Internal::device_type,
typename XVector_Internal::memory_traits,
typename YVector_Internal::value_type**,
typename YVector_Internal::array_layout,
typename YVector_Internal::device_type,
typename YVector_Internal::memory_traits,
false>::spmv_mv_bsrmatrix(controls, mode, alpha, A_i, x_i, beta, y_i);
Kokkos::Profiling::popRegion();
} else {
Experimental::Impl::SPMV_MV_BSRMATRIX<
typename AMatrix_Internal::const_value_type,
typename AMatrix_Internal::const_ordinal_type,
typename AMatrix_Internal::device_type,
typename AMatrix_Internal::memory_traits,
typename AMatrix_Internal::const_size_type,
typename XVector_Internal::const_value_type**,
typename XVector_Internal::array_layout,
typename XVector_Internal::device_type,
typename XVector_Internal::memory_traits,
typename YVector_Internal::value_type**,
typename YVector_Internal::array_layout,
typename YVector_Internal::device_type,
typename YVector_Internal::memory_traits>::spmv_mv_bsrmatrix(controls,
mode,
alpha, A_i,
x_i, beta,
y_i);
}
}
#ifdef DOXY // hide SFINAE
template <class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector>
#else
template <
class AlphaType, class AMatrix, class XVector, class BetaType,
class YVector,
typename std::enable_if<KokkosSparse::Experimental::is_block_crs_matrix<
AMatrix>::value>::type* = nullptr>
#endif
void spmv(KokkosKernels::Experimental::Controls controls, const char mode[],
const AlphaType& alpha, const AMatrix& A, const XVector& x,
const BetaType& beta, const YVector& y, const RANK_TWO) {
// Make sure that x and y have the same rank.
static_assert(
static_cast<int>(XVector::rank) == static_cast<int>(YVector::rank),
"KokkosSparse::spmv: Vector ranks do not match.");
// Make sure that x (and therefore y) is rank 2.
static_assert(static_cast<int>(XVector::rank) == 2,
"KokkosSparse::spmv: Both Vector inputs must have rank 2 "
"in order to call this specialization of spmv.");
// Make sure that y is non-const.
static_assert(std::is_same<typename YVector::value_type,
typename YVector::non_const_value_type>::value,
"KokkosSparse::spmv: Output Vector must be non-const.");
if (A.blockDim() == 1) {
KokkosSparse::CrsMatrix<
typename AMatrix::value_type, typename AMatrix::ordinal_type,
typename AMatrix::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged>,
typename AMatrix::size_type>
Acrs("blockcrs_to_crs", A.numCols(), A.values, A.graph);
KokkosSparse::spmv(controls, mode, alpha, Acrs, x, beta, y, RANK_TWO());
return;
}
// Check compatibility of dimensions at run time.
if ((mode[0] == NoTranspose[0]) || (mode[0] == Conjugate[0])) {
if ((x.extent(1) != y.extent(1)) ||