CUTLASS 2.9 (#468)

This commit is contained in:
Andrew Kerr
2022-04-23 15:02:38 -04:00
committed by GitHub
parent dd571f0edb
commit 12f4108ac2
1100 changed files with 94818 additions and 20385 deletions
+125 -47
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -63,7 +69,6 @@
#include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h"
#endif //CUTLASS_ARCH_WMMA_ENABLED
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
@@ -113,7 +118,15 @@ template <
/// Operation performed by GEMM
typename Operator,
/// Use zfill or predicate for out-of-bound cp.async
SharedMemoryClearOption SharedMemoryClear = SharedMemoryClearOption::kNone
SharedMemoryClearOption SharedMemoryClear = SharedMemoryClearOption::kNone,
/// Gather operand A by using an index array
bool GatherA = false,
/// Gather operand B by using an index array
bool GatherB = false,
/// Scatter result D by using an index array
bool ScatterD = false,
///
typename Enable = void
>
struct DefaultGemm;
@@ -158,23 +171,30 @@ template <
/// Operation performed by GEMM
typename Operator,
/// Use zfill or predicate for out-of-bound cp.async
SharedMemoryClearOption SharedMemoryClear>
SharedMemoryClearOption SharedMemoryClear,
/// Gather operand A by using an index array
bool GatherA,
/// Gather operand B by using an index array
bool GatherB,
/// Scatter result D by using an index array
bool ScatterD
>
struct DefaultGemm<ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementC,
LayoutC, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial,
Operator, SharedMemoryClear> {
Operator, SharedMemoryClear, GatherA, GatherB, ScatterD> {
static_assert(platform::is_same<LayoutC, layout::RowMajor>::value
|| platform::is_same<LayoutC, layout::AffineRankN<2>>::value,
"simt epilogue must be row major");
"Epilogue in the kernel level must be row major");
/// Define the threadblock-scoped matrix multiply-accumulate
using Mma = typename cutlass::gemm::threadblock::DefaultMma<
ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
ElementAccumulator, LayoutC, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
Operator, false, SharedMemoryClear>::ThreadblockMma;
Operator, false, SharedMemoryClear, GatherA, GatherB>::ThreadblockMma;
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
@@ -182,7 +202,7 @@ struct DefaultGemm<ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignment
using RegularEpilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp<
ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
EpilogueOutputOp::kCount>::Epilogue;
EpilogueOutputOp::kCount, ScatterD>::Epilogue;
using Affine2Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOpAffineRankN<
@@ -232,7 +252,13 @@ template <
/// Operation performed by GEMM
typename Operator,
/// Use zfill or predicate for out-of-bound cp.async
SharedMemoryClearOption SharedMemoryClear
SharedMemoryClearOption SharedMemoryClear,
/// Gather operand A by using an index array
bool GatherA,
/// Gather operand B by using an index array
bool GatherB,
/// Scatter result D by using an index array
bool ScatterD
>
struct DefaultGemm<
ElementA, LayoutA, kAlignmentA,
@@ -249,7 +275,10 @@ struct DefaultGemm<
2,
SplitKSerial,
Operator,
SharedMemoryClear
SharedMemoryClear,
GatherA,
GatherB,
ScatterD
> {
/// Define the threadblock-scoped matrix multiply-accumulate
@@ -268,7 +297,11 @@ struct DefaultGemm<
WarpShape,
InstructionShape,
2,
Operator
Operator,
false,
SharedMemoryClear,
GatherA,
GatherB
>::ThreadblockMma;
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
@@ -279,7 +312,8 @@ struct DefaultGemm<
typename Mma::Operator,
kPartitionsK,
EpilogueOutputOp,
EpilogueOutputOp::kCount
EpilogueOutputOp::kCount,
ScatterD
>::Epilogue;
/// Define the kernel-level GEMM operator.
@@ -327,7 +361,7 @@ struct DefaultGemm<
layout::ColumnMajorInterleaved<InterleavedK>, int32_t,
arch::OpClassTensorOp, arch::Sm80, ThreadblockShape, WarpShape,
InstructionShape, EpilogueOutputOp, ThreadblockSwizzle, Stages,
SplitKSerial, Operator, SharedMemoryClear> {
SplitKSerial, Operator, SharedMemoryClear, false, false, false> {
using LayoutA = layout::ColumnMajorInterleaved<InterleavedK>;
using LayoutB = layout::RowMajorInterleaved<InterleavedK>;
@@ -393,7 +427,8 @@ struct DefaultGemm<ElementA, layout::ColumnMajorInterleaved<InterleavedK>,
ElementC, layout::ColumnMajorInterleaved<InterleavedK>,
int32_t, arch::OpClassTensorOp, arch::Sm75, ThreadblockShape,
WarpShape, InstructionShape, EpilogueOutputOp,
ThreadblockSwizzle, 2, SplitKSerial, Operator, SharedMemoryClear> {
ThreadblockSwizzle, 2, SplitKSerial, Operator, SharedMemoryClear,
false, false, false> {
using LayoutA = layout::ColumnMajorInterleaved<InterleavedK>;
using LayoutB = layout::RowMajorInterleaved<InterleavedK>;
@@ -452,7 +487,13 @@ template <
/// Operation performed by GEMM
typename Operator,
/// Use zfill or predicate for out-of-bound cp.async
SharedMemoryClearOption SharedMemoryClear
SharedMemoryClearOption SharedMemoryClear,
/// Gather operand A by using an index array
bool GatherA,
/// Gather operand B by using an index array
bool GatherB,
/// Scatter result D by using an index array
bool ScatterD
>
struct DefaultGemm<
ElementA, LayoutA, kAlignmentA,
@@ -469,7 +510,10 @@ struct DefaultGemm<
2,
SplitKSerial,
Operator,
SharedMemoryClear
SharedMemoryClear,
GatherA,
GatherB,
ScatterD
> {
/// Define the threadblock-scoped matrix multiply-accumulate
@@ -488,7 +532,11 @@ struct DefaultGemm<
WarpShape,
GemmShape<8, 8, 4>,
2,
Operator
Operator,
false,
SharedMemoryClear,
GatherA,
GatherB
>::ThreadblockMma;
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
@@ -499,7 +547,8 @@ struct DefaultGemm<
typename Mma::Operator,
kPartitionsK,
EpilogueOutputOp,
EpilogueOutputOp::kCount
EpilogueOutputOp::kCount,
ScatterD
>::Epilogue;
/// Define the kernel-level GEMM operator.
@@ -543,7 +592,13 @@ template <
/// Operation performed by GEMM
typename Operator,
/// Use zfill or predicate for out-of-bound cp.async
SharedMemoryClearOption SharedMemoryClear
SharedMemoryClearOption SharedMemoryClear,
/// Gather operand A by using an index array
bool GatherA,
/// Gather operand B by using an index array
bool GatherB,
/// Scatter result D by using an index array
bool ScatterD
>
struct DefaultGemm<
ElementA,
@@ -565,11 +620,15 @@ struct DefaultGemm<
2,
SplitKSerial,
Operator,
SharedMemoryClear> {
SharedMemoryClear,
GatherA,
GatherB,
ScatterD,
typename platform::enable_if< ! platform::is_same<ArchTag, arch::Sm80>::value >::type > {
static_assert(platform::is_same<LayoutC, layout::RowMajor>::value
|| platform::is_same<LayoutC, layout::AffineRankN<2>>::value,
"simt epilogue must be row major");
"Epilogue in the kernel level must be row major");
/// Define the threadblock-scoped matrix multiply-accumulate
using Mma = typename cutlass::gemm::threadblock::DefaultMma<
@@ -587,7 +646,11 @@ struct DefaultGemm<
WarpShape,
GemmShape<1, 1, 1>,
2,
Operator>::ThreadblockMma;
Operator,
false,
SharedMemoryClear,
GatherA,
GatherB>::ThreadblockMma;
static int const kEpilogueElementsPerAccess = EpilogueOutputOp::kCount;
static_assert(kEpilogueElementsPerAccess == 1, "simt epilogue must operate on scalars");
@@ -597,7 +660,8 @@ struct DefaultGemm<
ThreadblockShape,
typename Mma::Operator,
EpilogueOutputOp,
kEpilogueElementsPerAccess
kEpilogueElementsPerAccess,
ScatterD
>::Epilogue;
using Affine2Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimtAffineRankN<
@@ -653,7 +717,13 @@ template <
/// Operation performed by GEMM
typename Operator,
/// Use zfill or predicate for out-of-bound cp.async
SharedMemoryClearOption SharedMemoryClear
SharedMemoryClearOption SharedMemoryClear,
/// Gather operand A by using an index array
bool GatherA,
/// Gather operand B by using an index array
bool GatherB,
/// Scatter result D by using an index array
bool ScatterD
>
struct DefaultGemm<ElementA,
LayoutA,
@@ -674,18 +744,21 @@ struct DefaultGemm<ElementA,
Stages,
SplitKSerial,
Operator,
SharedMemoryClear> {
SharedMemoryClear,
GatherA,
GatherB,
ScatterD> {
static_assert(platform::is_same<LayoutC, layout::RowMajor>::value
|| platform::is_same<LayoutC, layout::AffineRankN<2>>::value,
"simt epilogue must be row major");
"Epilogue in the kernel level must be row major");
/// Define the threadblock-scoped matrix multiply-accumulate
using Mma = typename cutlass::gemm::threadblock::DefaultMma<
ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
ElementAccumulator, LayoutC, arch::OpClassSimt, arch::Sm80,
ThreadblockShape, WarpShape, GemmShape<1, 1, 1>, Stages,
Operator, false, SharedMemoryClear>::ThreadblockMma;
Operator, false, SharedMemoryClear, GatherA, GatherB>::ThreadblockMma;
static int const kEpilogueElementsPerAccess = EpilogueOutputOp::kCount;
static_assert(kEpilogueElementsPerAccess == 1, "simt epilogue must operate on scalars");
@@ -695,7 +768,8 @@ struct DefaultGemm<ElementA,
ThreadblockShape,
typename Mma::Operator,
EpilogueOutputOp,
kEpilogueElementsPerAccess
kEpilogueElementsPerAccess,
ScatterD
>::Epilogue;
using Affine2Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimtAffineRankN<
@@ -754,7 +828,7 @@ struct DefaultGemm<int8_t, LayoutA, kAlignmentA, int8_t, LayoutB, kAlignmentB,
ElementC, LayoutC, ElementAccumulator, arch::OpClassSimt,
ArchTag, ThreadblockShape, WarpShape, GemmShape<1, 1, 4>,
EpilogueOutputOp, ThreadblockSwizzle, 2, SplitKSerial,
Operator, SharedMemoryClear> {
Operator, SharedMemoryClear, false, false, false> {
using InstructionShape = GemmShape<1, 1, 4>;
using ElementA = int8_t;
using ElementB = int8_t;
@@ -850,7 +924,11 @@ struct DefaultGemm<
Stages,
SplitKSerial,
Operator,
SharedMemoryClear> {
SharedMemoryClear,
false,
false,
false
> {
/// Define the threadblock-scoped matrix multiply-accumulate
using Mma = typename cutlass::gemm::threadblock::DefaultMma<
ElementA, LayoutA, kAlignmentA,
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -171,7 +177,7 @@ struct DefaultGemmPlanarComplexUniversal<
ThreadblockSwizzle,
Stages,
Operator,
typename std::enable_if<(Stages <= 2)>::type
typename platform::enable_if<(Stages <= 2)>::type
> {
/// Define planar complex valued variants instead
@@ -287,7 +293,7 @@ struct DefaultGemmPlanarComplexUniversal<
ThreadblockSwizzle,
Stages,
Operator,
typename std::enable_if<(Stages > 2)>::type
typename platform::enable_if<(Stages > 2)>::type
> {
/// Define planar complex valued variants instead
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -97,6 +103,12 @@ template <
typename Operator,
/// Use zfill or predicate for out-of-bound cp.async
SharedMemoryClearOption SharedMemoryClear = SharedMemoryClearOption::kNone,
/// Gather operand A by using an index array
bool GatherA = false,
/// Gather operand B by using an index array
bool GatherB = false,
/// Scatter result D by using an index array
bool ScatterD = false,
///
typename Enable = void
>
@@ -145,7 +157,13 @@ template <
/// Operation performed by GEMM
typename Operator,
/// Use zfill or predicate for out-of-bound cp.async
SharedMemoryClearOption SharedMemoryClear
SharedMemoryClearOption SharedMemoryClear,
/// Gather operand A by using an index array
bool GatherA,
/// Gather operand B by using an index array
bool GatherB,
/// Scatter result D by using an index array
bool ScatterD
>
struct DefaultGemmUniversal<
ElementA,
@@ -169,7 +187,10 @@ struct DefaultGemmUniversal<
Stages,
Operator,
SharedMemoryClear,
typename std::enable_if< ! cutlass::is_complex<ElementAccumulator>::value>::type
GatherA,
GatherB,
ScatterD,
typename platform::enable_if< ! cutlass::is_complex<ElementAccumulator>::value>::type
> {
using DefaultGemmKernel = typename kernel::DefaultGemm<
@@ -192,7 +213,10 @@ struct DefaultGemmUniversal<
Stages,
true,
Operator,
SharedMemoryClear
SharedMemoryClear,
GatherA,
GatherB,
ScatterD
>::GemmKernel;
/// Define the kernel in terms of the default kernel
@@ -275,7 +299,10 @@ struct DefaultGemmUniversal<
Stages,
Operator,
SharedMemoryClear,
typename std::enable_if<cutlass::is_complex<ElementAccumulator>::value>::type
false,
false,
false,
typename platform::enable_if<cutlass::is_complex<ElementAccumulator>::value>::type
> {
using DefaultGemmKernel = typename kernel::DefaultGemmComplex<
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
+24 -18
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -0,0 +1,207 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level Rank2K definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/arch/wmma.h"
#include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/rank_2k_universal.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm75.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm70.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm80.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/default_mma_core_simt.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
#include "cutlass/epilogue/threadblock/default_epilogue_tensor_op_blas3.h"
#include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
#if defined(CUTLASS_ARCH_WMMA_ENABLED)
#include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h"
#endif //CUTLASS_ARCH_WMMA_ENABLED
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by GEMM
typename Operator,
/// Blas3 computation mode
BlasMode BlasMode_ = BlasMode::kSymmetric>
struct DefaultRank2K;
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Access granularity of A matrix in units of elements
int kAlignmentB,
/// Element type for C and D matrix operands
typename ElementC,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by GEMM
typename Operator>
struct DefaultRank2K<
ElementA, LayoutA, kAlignmentA,
ElementB, LayoutB, kAlignmentB,
ElementC,layout::RowMajor, FillModeC,
ElementAccumulator, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial,
Operator> {
/// Define the threadblock-scoped matrix multiply-accumulate (A x BT)
using Mma1 = typename cutlass::gemm::threadblock::DefaultMma<
ElementA, LayoutA,
kAlignmentA,
ElementB, typename layout::LayoutTranspose<LayoutB>::type,
kAlignmentB,
ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
Operator>::ThreadblockMma;
/// Define the threadblock-scoped matrix multiply-accumulate (B x AT)
using Mma2 = typename cutlass::gemm::threadblock::DefaultMma<
ElementB, LayoutB,
kAlignmentB,
ElementA, typename layout::LayoutTranspose<LayoutA>::type,
kAlignmentA,
ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
Operator>::ThreadblockMma;
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOpBlas3<
ThreadblockShape, typename Mma1::Operator, kPartitionsK, EpilogueOutputOp,
EpilogueOutputOp::kCount, BlasMode::kSymmetric>::Epilogue;
/// Define the kernel-level Rank2K operator.
using Rank2Kkernel = kernel::Rank2KUniversal<Mma1, Mma2, Epilogue, ThreadblockSwizzle, FillModeC, BlasMode::kSymmetric>;
};
////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
@@ -0,0 +1,334 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level Rank2K definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/arch/wmma.h"
#include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/rank_2k_universal.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm80.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/default_multistage_mma_complex.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
#include "cutlass/epilogue/threadblock/default_epilogue_complex_tensor_op_blas3.h"
#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
#if defined(CUTLASS_ARCH_WMMA_ENABLED)
#include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h"
#endif //CUTLASS_ARCH_WMMA_ENABLED
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Element type for B matrix operand
typename ElementB_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Operation performed by GEMM
typename Operator,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Blas3 computation mode
BlasMode BlasMode_ = BlasMode::kSymmetric>
struct DefaultRank2KComplex;
////////////////////////////////////////////////////////////////////////////////
namespace detail {
template <
/// Layout type for A matrix operand
typename LayoutA_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Complex elementwise transformation
ComplexTransform TransformA,
/// Complex elementwise transformation
ComplexTransform TransformB,
/// Blas3 computation mode (symmetric/hermitian)
BlasMode BlasMode_
> struct Rank2KTransposedComplexTransform {
static ComplexTransform const kTransformA = TransformA;
static ComplexTransform const kTransformB = TransformB;
};
// partial specializations for HER2K CUBLAS_OP_N layout (ColumMajor)
template <>
struct Rank2KTransposedComplexTransform <
layout::ColumnMajor, layout::ColumnMajor,
ComplexTransform::kNone, ComplexTransform::kNone,
BlasMode::kHermitian> {
static ComplexTransform const kTransformA = ComplexTransform::kConjugate;
static ComplexTransform const kTransformB = ComplexTransform::kNone;
};
// partial specializations for HER2K CUBLAS_OP_C layout (RowMajor + Complex conjugate)
template <>
struct Rank2KTransposedComplexTransform <
layout::RowMajor, layout::RowMajor,
ComplexTransform::kConjugate, ComplexTransform::kConjugate,
BlasMode::kHermitian> {
static ComplexTransform const kTransformA = ComplexTransform::kNone;
static ComplexTransform const kTransformB = ComplexTransform::kConjugate;
};
}
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture complex datatype (symmetric)
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Element type for C and D matrix operands
typename ElementC,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Operation performed by GEMM
typename Operator,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial>
struct DefaultRank2KComplex<
ElementA, LayoutA, ElementB, LayoutB, ElementC,
layout::RowMajor, FillModeC, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages,
TransformA, TransformB, Operator, SplitKSerial, BlasMode::kSymmetric> {
static BlasMode const kBlasMode = BlasMode::kSymmetric;
/// Define the threadblock-scoped matrix multiply-accumulate (A x B^T)
using Mma1 = typename cutlass::gemm::threadblock::DefaultMultistageMmaComplex<
ElementA, LayoutA,
ElementB, typename layout::LayoutTranspose<LayoutB>::type,
ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
TransformA, TransformB, Operator>::ThreadblockMma;
/// Define the threadblock-scoped matrix multiply-accumulate (B x A^T)
using Mma2 = typename cutlass::gemm::threadblock::DefaultMultistageMmaComplex<
ElementB, LayoutB,
ElementA, typename layout::LayoutTranspose<LayoutA>::type,
ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
TransformA, TransformB, Operator>::ThreadblockMma;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOpBlas3<
ThreadblockShape, typename Mma1::Operator, 1, EpilogueOutputOp,
EpilogueOutputOp::kCount, Operator, kBlasMode>::Epilogue;
/// Define the kernel-level Rank2K operator.
using Rank2Kkernel = kernel::Rank2KUniversal<Mma1, Mma2, Epilogue, ThreadblockSwizzle, FillModeC, kBlasMode>;
};
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture complex datatype (hermitian)
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Element type for C and D matrix operands
typename ElementC,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Operation performed by GEMM
typename Operator,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial>
struct DefaultRank2KComplex<
ElementA, LayoutA, ElementB, LayoutB, ElementC,
layout::RowMajor, FillModeC, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages,
TransformA, TransformB, Operator, SplitKSerial, BlasMode::kHermitian> {
static BlasMode const kBlasMode = BlasMode::kHermitian;
// Complex transform for input A and B matrices (function on input layout)
static ComplexTransform const kTransformA = TransformA;
static ComplexTransform const kTransformB = TransformB;
using TransposedComplexTransform = detail::Rank2KTransposedComplexTransform<
LayoutA, LayoutB,
TransformA, TransformB,
kBlasMode>;
// Complex transform on operandA and operandB (function of blas3 computation)
static ComplexTransform const kTransformOperandA = TransposedComplexTransform::kTransformA;
static ComplexTransform const kTransformOperandB = TransposedComplexTransform::kTransformB;
/// Define the threadblock-scoped matrix multiply-accumulate (A x B^H)
using Mma1 = typename cutlass::gemm::threadblock::DefaultMultistageMmaComplex<
ElementA, LayoutA,
ElementB, typename layout::LayoutTranspose<LayoutB>::type,
ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
kTransformOperandA, kTransformOperandB, Operator>::ThreadblockMma;
/// Define the threadblock-scoped matrix multiply-accumulate (B x A^H)
using Mma2 = typename cutlass::gemm::threadblock::DefaultMultistageMmaComplex<
ElementB, LayoutB,
ElementA, typename layout::LayoutTranspose<LayoutA>::type,
ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
kTransformOperandA, kTransformOperandB, Operator>::ThreadblockMma;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOpBlas3<
ThreadblockShape, typename Mma1::Operator, 1, EpilogueOutputOp,
EpilogueOutputOp::kCount, Operator, kBlasMode>::Epilogue;
/// Define the kernel-level Rank2K operator.
using Rank2Kkernel = kernel::Rank2KUniversal<Mma1, Mma2, Epilogue, ThreadblockSwizzle, FillModeC, kBlasMode>;
};
////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
@@ -0,0 +1,346 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level Rank 2k definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
Note, CUTLASS epilogues universally target row-major outputs. Column-major outputs are
accommodated by exchanging A and B operands and assuming transposed layouts.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/complex.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/gemm/kernel/rank_2k_universal.h"
#include "cutlass/gemm/kernel/default_rank_2k.h"
#include "cutlass/gemm/kernel/default_rank_2k_complex.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by SYRK
typename Operator,
/// Blas3 computation mode (symmetric/hermitian)
BlasMode BlasMode_ = BlasMode::kSymmetric,
///
typename Enable = void
>
struct DefaultRank2KUniversal;
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued Rank 2k update kernels
//
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Element type for C and D matrix operands
typename ElementC,
/// Layout type for C and D matrix operands
typename LayoutC,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by Rank2k
typename Operator>
struct DefaultRank2KUniversal<
ElementA,
LayoutA,
ComplexTransform::kNone, // transform A
kAlignmentA,
ElementB,
LayoutB,
ComplexTransform::kNone, // transform B
kAlignmentB,
ElementC,
LayoutC,
FillModeC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
BlasMode::kSymmetric,
typename std::enable_if< ! cutlass::is_complex<ElementAccumulator>::value>::type
> {
using DefaultRank2Kkernel = typename kernel::DefaultRank2K<
ElementA,
LayoutA,
kAlignmentA,
ElementB,
LayoutB,
kAlignmentB,
ElementC,
LayoutC,
FillModeC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
BlasMode::kSymmetric
>::Rank2Kkernel;
/// Define the kernel in terms of the default kernel
using Rank2Kkernel = kernel::Rank2KUniversal<
typename DefaultRank2Kkernel::Mma1,
typename DefaultRank2Kkernel::Mma2,
typename DefaultRank2Kkernel::Epilogue,
ThreadblockSwizzle,
FillModeC,
BlasMode::kSymmetric
>;
};
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Complex-valued Rank 2K update kernels
//
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Element type for C and D matrix operands
typename ElementC,
/// Layout type for C and D matrix operands
typename LayoutC,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by SYRK
typename Operator,
// BlasMode
BlasMode kBlasMode
>
struct DefaultRank2KUniversal<
ElementA,
LayoutA,
TransformA,
kAlignmentA,
ElementB,
LayoutB,
TransformB,
kAlignmentB,
ElementC,
LayoutC,
FillModeC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
kBlasMode,
typename std::enable_if<cutlass::is_complex<ElementAccumulator>::value>::type
> {
using DefaultRank2Kkernel = typename kernel::DefaultRank2KComplex<
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
FillModeC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
TransformA,
TransformB,
Operator,
SplitKSerial,
kBlasMode
>::Rank2Kkernel;
/// Define the kernel in terms of the default kernel
using Rank2Kkernel = kernel::Rank2KUniversal<
typename DefaultRank2Kkernel::Mma1,
typename DefaultRank2Kkernel::Mma2,
typename DefaultRank2Kkernel::Epilogue,
ThreadblockSwizzle,
FillModeC,
kBlasMode
>;
};
} // namespace kernel
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////
@@ -0,0 +1,185 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level RankK definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/arch/wmma.h"
#include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/rank_k_universal.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm75.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm70.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm80.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/default_mma_core_simt.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
#include "cutlass/epilogue/threadblock/default_epilogue_tensor_op_blas3.h"
#include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
#if defined(CUTLASS_ARCH_WMMA_ENABLED)
#include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h"
#endif //CUTLASS_ARCH_WMMA_ENABLED
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by GEMM
typename Operator,
/// Blas3 computation mode
BlasMode BlasMode_ = BlasMode::kSymmetric>
struct DefaultRankK;
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for C and D matrix operands
typename ElementC,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by GEMM
typename Operator>
struct DefaultRankK<
ElementA, LayoutA, kAlignmentA,
ElementC,layout::RowMajor, FillModeC,
ElementAccumulator, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial,
Operator> {
/// Define the threadblock-scoped matrix multiply-accumulate (A x AT)
using Mma = typename cutlass::gemm::threadblock::DefaultMma<
ElementA, LayoutA,
kAlignmentA,
ElementA, typename layout::LayoutTranspose<LayoutA>::type,
kAlignmentA,
ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
Operator>::ThreadblockMma;
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOpBlas3<
ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
EpilogueOutputOp::kCount, BlasMode::kSymmetric>::Epilogue;
/// Define the kernel-level Rank2 operator.
using RankKkernel = kernel::RankKUniversal<Mma, Epilogue, ThreadblockSwizzle, FillModeC>;
};
////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
@@ -0,0 +1,295 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level RankK definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/arch/wmma.h"
#include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/rank_k_universal.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm80.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/default_multistage_mma_complex.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
#include "cutlass/epilogue/threadblock/default_epilogue_complex_tensor_op_blas3.h"
#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
#if defined(CUTLASS_ARCH_WMMA_ENABLED)
#include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h"
#endif //CUTLASS_ARCH_WMMA_ENABLED
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Operation performed by GEMM
typename Operator,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Blas3 computation mode
BlasMode BlasMode_ = BlasMode::kSymmetric>
struct DefaultRankKComplex;
////////////////////////////////////////////////////////////////////////////////
namespace detail {
template <
/// Layout type for A matrix operand
typename LayoutA_,
/// Complex elementwise transformation
ComplexTransform TransformA,
/// Blas3 computation mode (symmetric/hermitian)
BlasMode BlasMode_
> struct RankKTransposedComplexTransform {
static ComplexTransform const kTransformA = TransformA;
static ComplexTransform const kTransformB = TransformA;
};
// partial specializations for HERK CUBLAS_OP_N layout (ColumMajor)
template <>
struct RankKTransposedComplexTransform <
layout::ColumnMajor,
ComplexTransform::kNone,
BlasMode::kHermitian> {
static ComplexTransform const kTransformA = ComplexTransform::kConjugate;
static ComplexTransform const kTransformB = ComplexTransform::kNone;
};
// partial specializations for HERK CUBLAS_OP_C layout (RowMajor + Complex conjugate)
template <>
struct RankKTransposedComplexTransform <
layout::RowMajor,
ComplexTransform::kConjugate,
BlasMode::kHermitian> {
static ComplexTransform const kTransformA = ComplexTransform::kNone;
static ComplexTransform const kTransformB = ComplexTransform::kConjugate;
};
}
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture complex datatype (symmetric)
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Element type for C and D matrix operands
typename ElementC,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Operation performed by GEMM
typename Operator,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial>
struct DefaultRankKComplex<
ElementA, LayoutA, ElementC,
layout::RowMajor, FillModeC, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages,
TransformA, Operator, SplitKSerial, BlasMode::kSymmetric> {
static BlasMode const kBlasMode = BlasMode::kSymmetric;
/// Define the threadblock-scoped matrix multiply-accumulate (A x B^T)
using Mma = typename cutlass::gemm::threadblock::DefaultMultistageMmaComplex<
ElementA, LayoutA,
ElementA, typename layout::LayoutTranspose<LayoutA>::type,
ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
TransformA, TransformA, Operator>::ThreadblockMma;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOpBlas3<
ThreadblockShape, typename Mma::Operator, 1, EpilogueOutputOp,
EpilogueOutputOp::kCount, Operator, kBlasMode>::Epilogue;
/// Define the kernel-level RankK operator.
using RankKkernel = kernel::RankKUniversal<Mma, Epilogue, ThreadblockSwizzle, FillModeC>;
};
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture complex datatype (hermitian)
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Element type for C and D matrix operands
typename ElementC,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Operation performed by GEMM
typename Operator,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial>
struct DefaultRankKComplex<
ElementA, LayoutA, ElementC,
layout::RowMajor, FillModeC, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages,
TransformA, Operator, SplitKSerial, BlasMode::kHermitian> {
static BlasMode const kBlasMode = BlasMode::kHermitian;
// Complex transform for input A and B matrices (function on input layout)
static ComplexTransform const kTransformA = TransformA;
using TransposedComplexTransform = detail::RankKTransposedComplexTransform<
LayoutA,
TransformA,
kBlasMode>;
// Complex transform on operandA and operandB (function of blas3 computation)
static ComplexTransform const kTransformOperandA = TransposedComplexTransform::kTransformA;
static ComplexTransform const kTransformOperandB = TransposedComplexTransform::kTransformB;
/// Define the threadblock-scoped matrix multiply-accumulate (A x A^H)
using Mma = typename cutlass::gemm::threadblock::DefaultMultistageMmaComplex<
ElementA, LayoutA,
ElementA, typename layout::LayoutTranspose<LayoutA>::type,
ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
kTransformOperandA, kTransformOperandB, Operator>::ThreadblockMma;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOpBlas3<
ThreadblockShape, typename Mma::Operator, 1, EpilogueOutputOp,
EpilogueOutputOp::kCount, Operator, kBlasMode>::Epilogue;
/// Define the kernel-level RankK operator.
using RankKkernel = kernel::RankKUniversal<Mma, Epilogue, ThreadblockSwizzle, FillModeC>;
};
////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
@@ -0,0 +1,305 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level Rank k definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
Note, CUTLASS epilogues universally target row-major outputs. Column-major outputs are
accommodated by exchanging A and B operands and assuming transposed layouts.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/complex.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/gemm/kernel/rank_k_universal.h"
#include "cutlass/gemm/kernel/default_rank_k.h"
#include "cutlass/gemm/kernel/default_rank_k_complex.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by SYRK
typename Operator,
/// Blas3 computation mode (symmetric/hermitian)
BlasMode BlasMode_ = BlasMode::kSymmetric,
///
typename Enable = void
>
struct DefaultRankKUniversal;
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued Rank k update kernels
//
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for C and D matrix operands
typename ElementC,
/// Layout type for C and D matrix operands
typename LayoutC,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by Rank2k
typename Operator>
struct DefaultRankKUniversal<
ElementA,
LayoutA,
ComplexTransform::kNone, // transform A
kAlignmentA,
ElementC,
LayoutC,
FillModeC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
BlasMode::kSymmetric,
typename std::enable_if< ! cutlass::is_complex<ElementAccumulator>::value>::type
> {
using DefaultRankKkernel = typename kernel::DefaultRankK<
ElementA,
LayoutA,
kAlignmentA,
ElementC,
LayoutC,
FillModeC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
BlasMode::kSymmetric
>::RankKkernel;
/// Define the kernel in terms of the default kernel
using RankKkernel = kernel::RankKUniversal<
typename DefaultRankKkernel::Mma,
typename DefaultRankKkernel::Epilogue,
ThreadblockSwizzle,
FillModeC
>;
};
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Complex-valued Rank 2K update kernels
//
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for C and D matrix operands
typename ElementC,
/// Layout type for C and D matrix operands
typename LayoutC,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by SYRK
typename Operator,
// BlasMode
BlasMode kBlasMode
>
struct DefaultRankKUniversal<
ElementA,
LayoutA,
TransformA,
kAlignmentA,
ElementC,
LayoutC,
FillModeC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
kBlasMode,
typename std::enable_if<cutlass::is_complex<ElementAccumulator>::value>::type
> {
using DefaultRankKkernel = typename kernel::DefaultRankKComplex<
ElementA,
LayoutA,
ElementC,
LayoutC,
FillModeC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
TransformA,
Operator,
SplitKSerial,
kBlasMode
>::RankKkernel;
/// Define the kernel in terms of the default kernel
using RankKkernel = kernel::RankKUniversal<
typename DefaultRankKkernel::Mma,
typename DefaultRankKkernel::Epilogue,
ThreadblockSwizzle,
FillModeC
>;
};
} // namespace kernel
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////
+227
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@@ -0,0 +1,227 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level SYMM/HEMM definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/arch/wmma.h"
#include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/symm_universal.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm75.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm70.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm80.h"
#include "cutlass/gemm/threadblock/default_trmm.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/default_mma_core_simt.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
#include "cutlass/epilogue/threadblock/default_epilogue_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
#if defined(CUTLASS_ARCH_WMMA_ENABLED)
#include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h"
#endif //CUTLASS_ARCH_WMMA_ENABLED
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Side Mode for A (kLeft or kRight)
SideMode kSideModeA,
/// Fill Mode for A (kLower or kUpper)
FillMode kFillModeA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by GEMM
typename Operator,
/// Blas3 computation mode
BlasMode BlasMode_ = BlasMode::kSymmetric>
struct DefaultSymm;
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Side Mode for A (kLeft or kRight)
SideMode kSideModeA,
/// Fill Mode for A (kLower or kUpper)
FillMode kFillModeA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Access granularity of A matrix in units of elements
int kAlignmentB,
/// Element type for C and D matrix operands
typename ElementC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by GEMM
typename Operator>
struct DefaultSymm<
ElementA, LayoutA, kSideModeA, kFillModeA, kAlignmentA,
ElementB, LayoutB, kAlignmentB,
ElementC,layout::RowMajor,
ElementAccumulator, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial,
Operator> {
/// Define the threadblock-scoped triagular matrix multiply-accumulate
/// TRMM - with diagonal: alpha * A * B or alpha * B * A
static const DiagType kDiagTypeMma1 = DiagType::kNonUnit;
using Mma1 = typename cutlass::gemm::threadblock::DefaultTrmm<
ElementA, LayoutA, kAlignmentA,
ElementB, LayoutB, kAlignmentB,
kSideModeA, kFillModeA, kDiagTypeMma1,
ElementAccumulator, layout::RowMajor,
arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape,
Stages, Operator>::ThreadblockMma;
/// Define the threadblock-scoped triagular matrix multiply-accumulate
/// TRMM - withOUT diagonal: alpha * AT * B or alpha * B * AT
static const DiagType kDiagTypeMma2 = DiagType::kZero;
using LayoutAMma2 = typename platform::conditional<
(kSideModeA == SideMode::kLeft),
typename layout::LayoutTranspose<LayoutA>::type,
LayoutA
>::type;
using LayoutBMma2 = typename platform::conditional<
(kSideModeA == SideMode::kLeft),
LayoutB,
typename layout::LayoutTranspose<LayoutB>::type
>::type;
using Mma2 = typename cutlass::gemm::threadblock::DefaultTrmm<
ElementA, LayoutAMma2, kAlignmentA,
ElementB, LayoutBMma2, kAlignmentB,
kSideModeA, InvertFillMode<kFillModeA>::mode, kDiagTypeMma2,
ElementAccumulator, layout::RowMajor,
arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape,
Stages, Operator>::ThreadblockMma;
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp<
ThreadblockShape, typename Mma1::Operator, kPartitionsK, EpilogueOutputOp,
EpilogueOutputOp::kCount>::Epilogue;
/// Define the kernel-level SYMM/HEMM operator.
using SymmKernel = kernel::SymmUniversal<Mma1, Mma2, Epilogue, ThreadblockSwizzle, kSideModeA, kFillModeA>;
};
////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
+316
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@@ -0,0 +1,316 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level SYMM/HEMM definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/arch/wmma.h"
#include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/symm_universal.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm80.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/default_multistage_trmm_complex.h"
#include "cutlass/gemm/threadblock/default_multistage_mma_complex.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
#include "cutlass/epilogue/threadblock/default_epilogue_complex_tensor_op.h"
#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
#if defined(CUTLASS_ARCH_WMMA_ENABLED)
#include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h"
#endif //CUTLASS_ARCH_WMMA_ENABLED
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Side Mode for A (kLeft or kRight)
SideMode kSideModeA,
/// Fill Mode for A (kLower or kUpper)
FillMode kFillModeA,
/// Element type for B matrix operand
typename ElementB_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Operation performed by GEMM
typename Operator,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Blas3 computation mode
BlasMode BlasMode_ = BlasMode::kSymmetric>
struct DefaultSymmComplex;
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture complex datatype (symmetric)
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Side Mode for A (kLeft or kRight)
SideMode kSideModeA,
/// Fill Mode for A (kLower or kUpper)
FillMode kFillModeA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Element type for C and D matrix operands
typename ElementC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Operation performed by GEMM
typename Operator,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial>
struct DefaultSymmComplex<
ElementA, LayoutA, kSideModeA, kFillModeA, ElementB, LayoutB, ElementC,
layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages,
Operator, SplitKSerial, BlasMode::kSymmetric> {
static BlasMode const kBlasMode = BlasMode::kSymmetric;
// Complex Transform don't appply to A or B for SYMM
static ComplexTransform const TransformA = ComplexTransform::kNone;
static ComplexTransform const TransformB = ComplexTransform::kNone;
/// Define the threadblock-scoped triagular matrix multiply-accumulate
/// TRMM - with diagonal: alpha * A * B or alpha * B * A
static const DiagType kDiagTypeMma1 = DiagType::kNonUnit;
using Mma1 = typename cutlass::gemm::threadblock::DefaultMultistageTrmmComplex<
ElementA, LayoutA,
ElementB, LayoutB,
kSideModeA, kFillModeA, kDiagTypeMma1,
ElementAccumulator, layout::RowMajor,
arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape,
Stages, TransformA, TransformB, Operator>::ThreadblockMma;
/// Define the threadblock-scoped triagular matrix multiply-accumulate
/// TRMM - withOUT diagonal: alpha * AT * B or alpha * B * AT
static const DiagType kDiagTypeMma2 = DiagType::kZero;
using LayoutAMma2 = typename platform::conditional<
(kSideModeA == SideMode::kLeft),
typename layout::LayoutTranspose<LayoutA>::type,
LayoutA
>::type;
using LayoutBMma2 = typename platform::conditional<
(kSideModeA == SideMode::kLeft),
LayoutB,
typename layout::LayoutTranspose<LayoutB>::type
>::type;
using Mma2 = typename cutlass::gemm::threadblock::DefaultMultistageTrmmComplex<
ElementA, LayoutAMma2,
ElementB, LayoutBMma2,
kSideModeA, InvertFillMode<kFillModeA>::mode, kDiagTypeMma2,
ElementAccumulator, layout::RowMajor,
arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape,
Stages, TransformA, TransformB, Operator>::ThreadblockMma;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOp<
ThreadblockShape, typename Mma1::Operator, 1, EpilogueOutputOp,
EpilogueOutputOp::kCount, Operator>::Epilogue;
/// Define the kernel-level Symm operator.
using SymmKernel = kernel::SymmUniversal<Mma1, Mma2, Epilogue, ThreadblockSwizzle, kSideModeA, kFillModeA>;
};
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture complex datatype (hermitian)
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Side Mode for A (kLeft or kRight)
SideMode kSideModeA,
/// Fill Mode for A (kLower or kUpper)
FillMode kFillModeA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Element type for C and D matrix operands
typename ElementC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Operation performed by GEMM
typename Operator,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial>
struct DefaultSymmComplex<
ElementA, LayoutA, kSideModeA, kFillModeA, ElementB, LayoutB, ElementC,
layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages,
Operator, SplitKSerial, BlasMode::kHermitian> {
static BlasMode const kBlasMode = BlasMode::kHermitian;
/// Define the threadblock-scoped triagular matrix multiply-accumulate
/// TRMM - with diagonal: alpha * A * B or alpha * B * A
static const DiagType kDiagTypeMma1 = DiagType::kNonUnit;
static ComplexTransform const TransformAMma1 = ComplexTransform::kNone;
static ComplexTransform const TransformBMma1 = ComplexTransform::kNone;
using Mma1 = typename cutlass::gemm::threadblock::DefaultMultistageTrmmComplex<
ElementA, LayoutA,
ElementB, LayoutB,
kSideModeA, kFillModeA, kDiagTypeMma1,
ElementAccumulator, layout::RowMajor,
arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape,
Stages, TransformAMma1, TransformBMma1, Operator, BlasMode::kHermitian>::ThreadblockMma;
/// Define the threadblock-scoped triagular matrix multiply-accumulate
/// TRMM - withOUT diagonal - with conjugate transpose: alpha * AT * B or alpha * B * AT
static const DiagType kDiagTypeMma2 = DiagType::kZero;
using LayoutAMma2 = typename platform::conditional<
(kSideModeA == SideMode::kLeft),
typename layout::LayoutTranspose<LayoutA>::type,
LayoutA
>::type;
using LayoutBMma2 = typename platform::conditional<
(kSideModeA == SideMode::kLeft),
LayoutB,
typename layout::LayoutTranspose<LayoutB>::type
>::type;
static ComplexTransform const TransformAMma2 = (kSideModeA == SideMode::kLeft) ?
ComplexTransform::kConjugate : ComplexTransform::kNone;
static ComplexTransform const TransformBMma2 = (kSideModeA == SideMode::kLeft) ?
ComplexTransform::kNone : ComplexTransform::kConjugate;
using Mma2 = typename cutlass::gemm::threadblock::DefaultMultistageTrmmComplex<
ElementA, LayoutAMma2,
ElementB, LayoutBMma2,
kSideModeA, InvertFillMode<kFillModeA>::mode, kDiagTypeMma2,
ElementAccumulator, layout::RowMajor,
arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape,
Stages, TransformAMma2, TransformBMma2, Operator>::ThreadblockMma;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOp<
ThreadblockShape, typename Mma1::Operator, 1, EpilogueOutputOp,
EpilogueOutputOp::kCount, Operator>::Epilogue;
/// Define the kernel-level Symm operator.
using SymmKernel = kernel::SymmUniversal<Mma1, Mma2, Epilogue, ThreadblockSwizzle, kSideModeA, kFillModeA>;
};
////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
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/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level SYMM/HEMM definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
Note, CUTLASS epilogues universally target row-major outputs. Column-major outputs are
accommodated by exchanging A and B operands and assuming transposed layouts.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/complex.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/gemm/kernel/symm_universal.h"
#include "cutlass/gemm/kernel/default_symm.h"
#include "cutlass/gemm/kernel/default_symm_complex.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Side Mode for A (kLeft or kRight)
SideMode SideModeA,
/// Fill Mode for A (kLower or kUpper)
FillMode FillModeA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by SYRK
typename Operator,
/// Blas3 computation mode (symmetric/hermitian)
BlasMode BlasMode_ = BlasMode::kSymmetric,
///
typename Enable = void
>
struct DefaultSymmUniversal;
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued SYMM/HEMM update kernels
//
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Side Mode for A (kLeft or kRight)
SideMode SideModeA,
/// Fill Mode for A (kLower or kUpper)
FillMode FillModeA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Element type for C and D matrix operands
typename ElementC,
/// Layout type for C and D matrix operands
typename LayoutC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by SYMM/HEMM
typename Operator>
struct DefaultSymmUniversal<
ElementA,
LayoutA,
SideModeA,
FillModeA,
kAlignmentA,
ElementB,
LayoutB,
kAlignmentB,
ElementC,
LayoutC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
BlasMode::kSymmetric,
typename std::enable_if< ! cutlass::is_complex<ElementAccumulator>::value>::type
> {
using DefaultSymmkernel = typename kernel::DefaultSymm<
ElementA,
LayoutA,
SideModeA,
FillModeA,
kAlignmentA,
ElementB,
LayoutB,
kAlignmentB,
ElementC,
LayoutC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
BlasMode::kSymmetric
>::SymmKernel;
/// Define the kernel in terms of the default kernel
using SymmKernel = kernel::SymmUniversal<
typename DefaultSymmkernel::Mma1,
typename DefaultSymmkernel::Mma2,
typename DefaultSymmkernel::Epilogue,
ThreadblockSwizzle,
SideModeA,
FillModeA
>;
};
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Complex-valued SYMM/HEMM update kernels
//
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Side Mode for A (kLeft or kRight)
SideMode SideModeA,
/// Fill Mode for A (kLower or kUpper)
FillMode FillModeA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Element type for C and D matrix operands
typename ElementC,
/// Layout type for C and D matrix operands
typename LayoutC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by SYRK
typename Operator,
// BlasMode
BlasMode kBlasMode
>
struct DefaultSymmUniversal<
ElementA,
LayoutA,
SideModeA,
FillModeA,
kAlignmentA,
ElementB,
LayoutB,
kAlignmentB,
ElementC,
LayoutC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
kBlasMode,
typename std::enable_if<cutlass::is_complex<ElementAccumulator>::value>::type
> {
using DefaultSymmkernel = typename kernel::DefaultSymmComplex<
ElementA,
LayoutA,
SideModeA,
FillModeA,
ElementB,
LayoutB,
ElementC,
LayoutC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
Operator,
SplitKSerial,
kBlasMode
>::SymmKernel;
/// Define the kernel in terms of the default kernel
using SymmKernel = kernel::SymmUniversal<
typename DefaultSymmkernel::Mma1,
typename DefaultSymmkernel::Mma2,
typename DefaultSymmkernel::Epilogue,
ThreadblockSwizzle,
SideModeA,
FillModeA
>;
};
} // namespace kernel
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////
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/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
//
/*! \file
\brief
Default kernel-level TRMM definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/arch/wmma.h"
#include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/trmm_universal.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm75.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm70.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm80.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/default_trmm.h"
#include "cutlass/gemm/threadblock/default_mma_core_simt.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
#include "cutlass/epilogue/threadblock/default_epilogue_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
#if defined(CUTLASS_ARCH_WMMA_ENABLED)
#include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h"
#endif //CUTLASS_ARCH_WMMA_ENABLED
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Side Mode for the kernel
SideMode SideMode_,
/// Fill Mode for the triangular matrix
FillMode FillMode_,
/// Diag Type for the triangular matrix
DiagType DiagType_,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by GEMM
typename Operator>
struct DefaultTrmm;
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Access granularity of A matrix in units of elements
int kAlignmentB,
/// Side Mode for the kernel
SideMode kSideMode,
/// Fill Mode for the triangular matrix
FillMode kFillMode,
/// Diag Type for the triangular matrix
DiagType kDiagType,
/// Element type for C and D matrix operands
typename ElementC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by GEMM
typename Operator>
struct DefaultTrmm<ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
kSideMode, kFillMode, kDiagType, ElementC,
layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial,
Operator> {
/// Define the threadblock-scoped triagular matrix multiply-accumulate
using Mma = typename cutlass::gemm::threadblock::DefaultTrmm<
ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
kSideMode, kFillMode, kDiagType,
ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
ThreadblockShape, WarpShape, InstructionShape, Stages,
Operator>::ThreadblockMma;
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp<
ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
EpilogueOutputOp::kCount>::Epilogue;
/// Define the kernel-level TRMM operator.
using TrmmKernel = kernel::TrmmUniversal<Mma, Epilogue, ThreadblockSwizzle, kSideMode, kFillMode, kDiagType>;
};
////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
@@ -0,0 +1,197 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level TRMM definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
Note, CUTLASS epilogues universally target row-major outputs. Column-major outputs are
accommodated by exchanging A and B operands and assuming transposed layouts.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/trmm_universal.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm75.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm70.h"
#include "cutlass/gemm/threadblock/default_multistage_mma_complex_core_sm80.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/default_multistage_trmm_complex.h"
#include "cutlass/gemm/threadblock/default_mma_core_simt.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
#include "cutlass/epilogue/threadblock/default_epilogue_complex_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Element type for B matrix operand
typename ElementB_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Side Mode for the kernel
SideMode SideMode_,
/// Fill Mode for the triangular matrix
FillMode FillMode_,
/// Diag Type for the triangular matrix
DiagType DiagType_,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Multiply-add operator
// (arch::OpMultiplyAddComplex, arch::OpMultiplyGaussianComplex)
typename Operator,
/// If true, kernel is configured to support serial reduction in the epilogue
bool SplitKSerial
>
struct DefaultTrmmComplex;
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Side Mode for the kernel
SideMode kSideMode,
/// Fill Mode for the triangular matrix
FillMode kFillMode,
/// Diag Type for the triangular matrix
DiagType kDiagType,
/// Element type for C and D matrix operands
typename ElementC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Multiply-add operator
// (arch::OpMultiplyAddComplex, arch::OpMultiplyGaussianComplex)
typename Operator,
/// If true, kernel is configured to support serial reduction in the epilogue
bool SplitKSerial
>
struct DefaultTrmmComplex<
ElementA, LayoutA, ElementB, LayoutB,
kSideMode, kFillMode, kDiagType,
ElementC, layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages, TransformA, TransformB, Operator, SplitKSerial> {
/// Define the threadblock-scoped matrix multiply-accumulate
using Mma = typename cutlass::gemm::threadblock::DefaultMultistageTrmmComplex<
ElementA, LayoutA, ElementB, LayoutB,
kSideMode, kFillMode, kDiagType,
ElementAccumulator,layout::RowMajor, arch::OpClassTensorOp, arch::Sm80, ThreadblockShape,
WarpShape, InstructionShape, Stages, TransformA, TransformB, Operator>::ThreadblockMma;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOp<
ThreadblockShape, typename Mma::Operator, 1, EpilogueOutputOp,
EpilogueOutputOp::kCount, Operator>::Epilogue;
/// Define the kernel-level TRMM operator.
using TrmmKernel = kernel::TrmmUniversal<Mma, Epilogue, ThreadblockSwizzle, kSideMode, kFillMode, kDiagType>;
};
////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
////////////////////////////////////////////////////////////////////////////////
@@ -0,0 +1,359 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
Default kernel-level TRMM definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
Note, CUTLASS epilogues universally target row-major outputs. Column-major outputs are
accommodated by exchanging A and B operands and assuming transposed layouts.
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/complex.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/gemm/kernel/trmm_universal.h"
#include "cutlass/gemm/kernel/default_trmm.h"
#include "cutlass/gemm/kernel/default_trmm_complex.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Side Mode for the kernel
SideMode kSideMode,
/// Fill Mode for the triangular matrix
FillMode kFillMode,
/// Diag Type for the triangular matrix
DiagType kDiagType,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by TRMM
typename Operator,
///
typename Enable = void
>
struct DefaultTrmmUniversal;
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued TRMM kernels
//
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Side Mode for the kernel
SideMode kSideMode,
/// Fill Mode for the triangular matrix
FillMode kFillMode,
/// Diag Type for the triangular matrix
DiagType kDiagType,
/// Element type for C and D matrix operands
typename ElementC,
/// Layout type for C and D matrix operands
typename LayoutC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by TRMM
typename Operator>
struct DefaultTrmmUniversal<
ElementA,
LayoutA,
ComplexTransform::kNone, // transform A
kAlignmentA,
ElementB,
LayoutB,
ComplexTransform::kNone, // transform B
kAlignmentB,
kSideMode,
kFillMode,
kDiagType,
ElementC,
LayoutC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
typename std::enable_if< ! cutlass::is_complex<ElementAccumulator>::value>::type
> {
using DefaultTrmmKernel = typename kernel::DefaultTrmm<
ElementA,
LayoutA,
kAlignmentA,
ElementB,
LayoutB,
kAlignmentB,
kSideMode,
kFillMode,
kDiagType,
ElementC,
LayoutC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator
>::TrmmKernel;
/// Define the kernel in terms of the default kernel
using TrmmKernel = kernel::TrmmUniversal<
typename DefaultTrmmKernel::Mma,
typename DefaultTrmmKernel::Epilogue,
ThreadblockSwizzle,
kSideMode,
kFillMode,
kDiagType
>;
};
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Complex-valued TRMM kernels
//
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Access granularity of A matrix in units of elements
int kAlignmentA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Access granularity of B matrix in units of elements
int kAlignmentB,
/// Side Mode for the kernel
SideMode kSideMode,
/// Fill Mode for the triangular matrix
FillMode kFillMode,
/// Diag Type for the triangular matrix
DiagType kDiagType,
/// Element type for C and D matrix operands
typename ElementC,
/// Layout type for C and D matrix operands
typename LayoutC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// If true, kernel is configured to support serial reduction in the
/// epilogue
bool SplitKSerial,
/// Operation performed by TRMM
typename Operator
>
struct DefaultTrmmUniversal<
ElementA,
LayoutA,
TransformA,
kAlignmentA,
ElementB,
LayoutB,
TransformB,
kAlignmentB,
kSideMode,
kFillMode,
kDiagType,
ElementC,
LayoutC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
SplitKSerial,
Operator,
typename std::enable_if<cutlass::is_complex<ElementAccumulator>::value>::type
> {
using DefaultTrmmKernel = typename kernel::DefaultTrmmComplex<
ElementA,
LayoutA,
ElementB,
LayoutB,
kSideMode,
kFillMode,
kDiagType,
ElementC,
LayoutC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
TransformA,
TransformB,
Operator,
SplitKSerial
>::TrmmKernel;
/// Define the kernel in terms of the default kernel
using TrmmKernel = kernel::TrmmUniversal<
typename DefaultTrmmKernel::Mma,
typename DefaultTrmmKernel::Epilogue,
ThreadblockSwizzle,
kSideMode,
kFillMode,
kDiagType
>;
};
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////
+52 -32
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -78,6 +84,10 @@ struct Gemm {
typename OutputOp::Params output_op;
int *semaphore;
int gemm_k_size;
// For gather+scatter operations
int const *gather_A_indices;
int const *gather_B_indices;
int const *scatter_D_indices;
//
// Methods
@@ -95,7 +105,10 @@ struct Gemm {
typename Epilogue::OutputTileIterator::TensorRef ref_C,
typename Epilogue::OutputTileIterator::TensorRef ref_D,
typename OutputOp::Params output_op = typename OutputOp::Params(),
int *workspace = nullptr
int *workspace = nullptr,
int const *gather_A_indices = nullptr,
int const *gather_B_indices = nullptr,
int const *scatter_D_indices = nullptr
):
problem_size(problem_size),
grid_tiled_shape(grid_tiled_shape),
@@ -108,7 +121,10 @@ struct Gemm {
ref_C(ref_C),
params_D(ref_D.layout()),
ref_D(ref_D),
output_op(output_op) {
output_op(output_op),
gather_A_indices(gather_A_indices),
gather_B_indices(gather_B_indices),
scatter_D_indices(scatter_D_indices) {
int total_gemm_k_iterations = (problem_size.k() + Mma::Shape::kK - 1) / Mma::Shape::kK;
int gemm_k_iterations = (total_gemm_k_iterations + grid_tiled_shape.k() - 1) / grid_tiled_shape.k();
@@ -133,6 +149,7 @@ struct Gemm {
Gemm() { }
/// Determines whether kernel satisfies alignment
CUTLASS_HOST_DEVICE
static Status can_implement(
cutlass::gemm::GemmCoord const & problem_size,
typename Mma::IteratorA::TensorRef ref_A,
@@ -154,7 +171,13 @@ struct Gemm {
layout::RowMajorInterleaved<64>>::value)
? 64
: Mma::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
static int const kAlignmentC = (platform::is_same<typename Epilogue::OutputTileIterator::Layout,
layout::ColumnMajorInterleaved<32>>::value)
? 32
: (platform::is_same<typename Epilogue::OutputTileIterator::Layout,
layout::ColumnMajorInterleaved<64>>::value)
? 64
: Epilogue::OutputTileIterator::kElementsPerAccess;
if (!TensorRef_aligned(ref_A, kAlignmentA)) {
return Status::kErrorMisalignedOperand;
@@ -172,13 +195,6 @@ struct Gemm {
return Status::kErrorMisalignedOperand;
}
if ((problem_size.m() % kAlignmentA) || (problem_size.k() % kAlignmentA) ||
(problem_size.n() % kAlignmentB) || (problem_size.k() % kAlignmentB) ||
(problem_size.m() % kAlignmentC) || (problem_size.n() % kAlignmentC)) {
return Status::kErrorMisalignedOperand;
}
return Status::kSuccess;
}
@@ -227,14 +243,16 @@ struct Gemm {
params.ref_A.data(),
{params.problem_size.m(), problem_size_k},
thread_idx,
tb_offset_A);
tb_offset_A,
params.gather_A_indices);
typename Mma::IteratorB iterator_B(
params.params_B,
params.ref_B.data(),
{problem_size_k, params.problem_size.n()},
thread_idx,
tb_offset_B);
tb_offset_B,
params.gather_B_indices);
// Broadcast the warp_id computed by lane 0 to ensure dependent code
// is compiled as warp-uniform.
@@ -297,7 +315,8 @@ struct Gemm {
params.ref_C.data(),
params.problem_size.mn(),
thread_idx,
threadblock_offset
threadblock_offset,
params.scatter_D_indices
);
// Tile iterator writing to destination tensor.
@@ -306,7 +325,8 @@ struct Gemm {
params.ref_D.data(),
params.problem_size.mn(),
thread_idx,
threadblock_offset
threadblock_offset,
params.scatter_D_indices
);
Epilogue epilogue(
+24 -18
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
+24 -18
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
+25 -19
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -548,7 +554,7 @@ public:
// Wait for all threads to finish their epilogue phases from the previous tile.
__syncthreads();
// Compute threadblock-scoped matrix multiply-add
mma(
gemm_k_iterations,
+24 -18
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
+24 -18
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -405,10 +411,29 @@ public:
static int const kAlignmentB = Mma::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
if ((args.problem_size.m() % kAlignmentA) || (args.problem_size.k() % kAlignmentA) ||
(args.problem_size.n() % kAlignmentB) || (args.problem_size.k() % kAlignmentB) ||
(args.problem_size.m() % kAlignmentC) || (args.problem_size.n() % kAlignmentC)) {
bool isAMisaligned = false;
bool isBMisaligned = false;
bool isCMisaligned = false;
if (platform::is_same<LayoutA, layout::RowMajor>::value) {
isAMisaligned = args.problem_size.k() % kAlignmentA;
} else if (platform::is_same<LayoutA, layout::ColumnMajor>::value) {
isAMisaligned = args.problem_size.m() % kAlignmentA;
}
if (platform::is_same<LayoutB, layout::RowMajor>::value) {
isBMisaligned = args.problem_size.n() % kAlignmentB;
} else if (platform::is_same<LayoutB, layout::ColumnMajor>::value) {
isBMisaligned = args.problem_size.k() % kAlignmentB;
}
if (platform::is_same<LayoutC, layout::RowMajor>::value) {
isCMisaligned = args.problem_size.n() % kAlignmentC;
} else if (platform::is_same<LayoutC, layout::ColumnMajor>::value) {
isCMisaligned = args.problem_size.m() % kAlignmentC;
}
if (isAMisaligned || isBMisaligned || isCMisaligned) {
return Status::kErrorMisalignedOperand;
}
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -361,10 +367,29 @@ public:
static int const kAlignmentB = Mma::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
if ((args.problem_size.m() % kAlignmentA) || (args.problem_size.k() % kAlignmentA) ||
(args.problem_size.n() % kAlignmentB) || (args.problem_size.k() % kAlignmentB) ||
(args.problem_size.m() % kAlignmentC) || (args.problem_size.n() % kAlignmentC)) {
bool isAMisaligned = false;
bool isBMisaligned = false;
bool isCMisaligned = false;
if (platform::is_same<LayoutA, layout::RowMajor>::value) {
isAMisaligned = args.problem_size.k() % kAlignmentA;
} else if (platform::is_same<LayoutA, layout::ColumnMajor>::value) {
isAMisaligned = args.problem_size.m() % kAlignmentA;
}
if (platform::is_same<LayoutB, layout::RowMajor>::value) {
isBMisaligned = args.problem_size.n() % kAlignmentB;
} else if (platform::is_same<LayoutB, layout::ColumnMajor>::value) {
isBMisaligned = args.problem_size.k() % kAlignmentB;
}
if (platform::is_same<LayoutC, layout::RowMajor>::value) {
isCMisaligned = args.problem_size.n() % kAlignmentC;
} else if (platform::is_same<LayoutC, layout::ColumnMajor>::value) {
isCMisaligned = args.problem_size.m() % kAlignmentC;
}
if (isAMisaligned || isBMisaligned || isCMisaligned) {
return Status::kErrorMisalignedOperand;
}
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
+124 -41
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -127,6 +133,10 @@ public:
typename LayoutC::Stride::LongIndex ldc;
typename LayoutC::Stride::LongIndex ldd;
int const * ptr_gather_A_indices;
int const * ptr_gather_B_indices;
int const * ptr_scatter_D_indices;
//
// Methods
//
@@ -134,7 +144,10 @@ public:
Arguments():
mode(GemmUniversalMode::kGemm),
batch_count(1),
ptr_A(nullptr), ptr_B(nullptr), ptr_C(nullptr), ptr_D(nullptr) { }
ptr_A(nullptr), ptr_B(nullptr), ptr_C(nullptr), ptr_D(nullptr),
ptr_gather_A_indices(ptr_gather_A_indices),
ptr_gather_B_indices(ptr_gather_B_indices),
ptr_scatter_D_indices(ptr_scatter_D_indices) {}
/// constructs an arguments structure
Arguments(
@@ -153,7 +166,10 @@ public:
typename LayoutA::Stride stride_a,
typename LayoutB::Stride stride_b,
typename LayoutC::Stride stride_c,
typename LayoutC::Stride stride_d
typename LayoutC::Stride stride_d,
int const *ptr_gather_A_indices = nullptr,
int const *ptr_gather_B_indices = nullptr,
int const *ptr_scatter_D_indices = nullptr
):
mode(mode),
problem_size(problem_size),
@@ -161,12 +177,13 @@ public:
epilogue(epilogue),
ptr_A(ptr_A), ptr_B(ptr_B), ptr_C(ptr_C), ptr_D(ptr_D),
batch_stride_A(batch_stride_A), batch_stride_B(batch_stride_B), batch_stride_C(batch_stride_C), batch_stride_D(batch_stride_D),
stride_a(stride_a), stride_b(stride_b), stride_c(stride_c), stride_d(stride_d) {
stride_a(stride_a), stride_b(stride_b), stride_c(stride_c), stride_d(stride_d),
ptr_gather_A_indices(ptr_gather_A_indices), ptr_gather_B_indices(ptr_gather_B_indices),
ptr_scatter_D_indices(ptr_scatter_D_indices) {
lda = 0;
ldb = 0;
ldc = 0;
ldd = 0;
CUTLASS_TRACE_HOST("GemmUniversal::Arguments::Arguments() - problem_size: " << problem_size);
}
@@ -187,7 +204,10 @@ public:
typename LayoutA::Stride::LongIndex lda,
typename LayoutB::Stride::LongIndex ldb,
typename LayoutC::Stride::LongIndex ldc,
typename LayoutC::Stride::LongIndex ldd
typename LayoutC::Stride::LongIndex ldd,
int const *ptr_gather_A_indices = nullptr,
int const *ptr_gather_B_indices = nullptr,
int const *ptr_scatter_D_indices = nullptr
):
mode(mode),
problem_size(problem_size),
@@ -195,7 +215,9 @@ public:
epilogue(epilogue),
ptr_A(ptr_A), ptr_B(ptr_B), ptr_C(ptr_C), ptr_D(ptr_D),
batch_stride_A(batch_stride_A), batch_stride_B(batch_stride_B), batch_stride_C(batch_stride_C), batch_stride_D(batch_stride_D),
lda(lda), ldb(ldb), ldc(ldc), ldd(ldd) {
lda(lda), ldb(ldb), ldc(ldc), ldd(ldd),
ptr_gather_A_indices(ptr_gather_A_indices), ptr_gather_B_indices(ptr_gather_B_indices),
ptr_scatter_D_indices(ptr_scatter_D_indices) {
stride_a = make_Coord(lda);
stride_b = make_Coord(ldb);
stride_c = make_Coord(ldc);
@@ -212,6 +234,7 @@ public:
std::swap(args.lda, args.ldb);
std::swap(args.stride_a, args.stride_b);
std::swap(args.batch_stride_A, args.batch_stride_B);
std::swap(args.ptr_gather_A_indices, args.ptr_gather_B_indices);
return args;
}
@@ -249,6 +272,10 @@ public:
int64_t batch_stride_C;
int64_t batch_stride_D;
int * ptr_gather_A_indices;
int * ptr_gather_B_indices;
int * ptr_scatter_D_indices;
int *semaphore;
//
@@ -273,6 +300,9 @@ public:
batch_stride_B(0),
batch_stride_C(0),
batch_stride_D(0),
ptr_gather_A_indices(nullptr),
ptr_gather_B_indices(nullptr),
ptr_scatter_D_indices(nullptr),
semaphore(nullptr) { }
CUTLASS_HOST_DEVICE
@@ -301,9 +331,11 @@ public:
batch_stride_B(args.batch_stride_B),
batch_stride_C(args.batch_stride_C),
batch_stride_D(args.batch_stride_D),
ptr_gather_A_indices(const_cast<int *>(args.ptr_gather_A_indices)),
ptr_gather_B_indices(const_cast<int *>(args.ptr_gather_B_indices)),
ptr_scatter_D_indices(const_cast<int *>(args.ptr_scatter_D_indices)),
semaphore(static_cast<int *>(workspace)) {
CUTLASS_TRACE_HOST("GemmUniversal::Params::Params() - problem_size: " << problem_size);
}
CUTLASS_HOST_DEVICE
@@ -316,13 +348,17 @@ public:
ptr_C = const_cast<void *>(args.ptr_C);
ptr_D = args.ptr_D;
ptr_gather_A_indices = const_cast<int *>(args.ptr_gather_A_indices);
ptr_gather_B_indices = const_cast<int *>(args.ptr_gather_B_indices);
ptr_scatter_D_indices = const_cast<int *>(args.ptr_scatter_D_indices);
batch_stride_A = args.batch_stride_A;
batch_stride_B = args.batch_stride_B;
batch_stride_C = args.batch_stride_C;
batch_stride_D = args.batch_stride_D;
output_op = args.epilogue;
semaphore = static_cast<int *>(workspace);
CUTLASS_TRACE_HOST("GemmUniversal::Params::update()");
}
@@ -349,27 +385,71 @@ public:
CUTLASS_TRACE_HOST("GemmUniversal::can_implement()");
static int const kAlignmentA = (platform::is_same<typename Mma::IteratorA::Layout,
static int const kAlignmentA = (platform::is_same<LayoutA,
layout::ColumnMajorInterleaved<32>>::value)
? 32
: (platform::is_same<typename Mma::IteratorA::Layout,
: (platform::is_same<LayoutA,
layout::ColumnMajorInterleaved<64>>::value)
? 64
: Mma::IteratorA::AccessType::kElements;
static int const kAlignmentB = (platform::is_same<typename Mma::IteratorB::Layout,
layout::RowMajorInterleaved<32>>::value)
static int const kAlignmentB = (platform::is_same<LayoutB,
layout::RowMajorInterleaved<32>>::value)
? 32
: (platform::is_same<typename Mma::IteratorB::Layout,
: (platform::is_same<LayoutB,
layout::RowMajorInterleaved<64>>::value)
? 64
: Mma::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
static int const kAlignmentC = (platform::is_same<LayoutC,
layout::ColumnMajorInterleaved<32>>::value)
? 32
: (platform::is_same<LayoutC,
layout::ColumnMajorInterleaved<64>>::value)
? 64
: Epilogue::OutputTileIterator::kElementsPerAccess;
if ((problem_size.m() % kAlignmentA) || (problem_size.k() % kAlignmentA) ||
(problem_size.n() % kAlignmentB) || (problem_size.k() % kAlignmentB) ||
(problem_size.m() % kAlignmentC) || (problem_size.n() % kAlignmentC)) {
bool isAMisaligned = false;
bool isBMisaligned = false;
bool isCMisaligned = false;
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand");
if (platform::is_same<LayoutA, layout::RowMajor>::value) {
isAMisaligned = problem_size.k() % kAlignmentA;
} else if (platform::is_same<LayoutA, layout::ColumnMajor>::value) {
isAMisaligned = problem_size.m() % kAlignmentA;
} else if (platform::is_same<LayoutA, layout::ColumnMajorInterleaved<32>>::value
|| platform::is_same<LayoutA, layout::ColumnMajorInterleaved<64>>::value) {
isAMisaligned = problem_size.k() % kAlignmentA;
}
if (platform::is_same<LayoutB, layout::RowMajor>::value) {
isBMisaligned = problem_size.n() % kAlignmentB;
} else if (platform::is_same<LayoutB, layout::ColumnMajor>::value) {
isBMisaligned = problem_size.k() % kAlignmentB;
} else if (platform::is_same<LayoutB, layout::RowMajorInterleaved<32>>::value
|| platform::is_same<LayoutB, layout::RowMajorInterleaved<64>>::value) {
isBMisaligned = problem_size.k() % kAlignmentB;
}
if (platform::is_same<LayoutC, layout::RowMajor>::value) {
isCMisaligned = problem_size.n() % kAlignmentC;
} else if (platform::is_same<LayoutC, layout::ColumnMajor>::value) {
isCMisaligned = problem_size.m() % kAlignmentC;
} else if (platform::is_same<LayoutC, layout::ColumnMajorInterleaved<32>>::value
|| platform::is_same<LayoutC, layout::ColumnMajorInterleaved<64>>::value) {
isCMisaligned = problem_size.n() % kAlignmentC;
}
if (isAMisaligned) {
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand for A operand");
return Status::kErrorMisalignedOperand;
}
if (isBMisaligned) {
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand for B operand");
return Status::kErrorMisalignedOperand;
}
if (isCMisaligned) {
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand for C operand");
return Status::kErrorMisalignedOperand;
}
@@ -455,14 +535,16 @@ public:
ptr_A,
{params.problem_size.m(), problem_size_k},
thread_idx,
tb_offset_A);
tb_offset_A,
params.ptr_gather_A_indices);
typename Mma::IteratorB iterator_B(
params.params_B,
ptr_B,
{problem_size_k, params.problem_size.n()},
thread_idx,
tb_offset_B);
tb_offset_B,
params.ptr_gather_B_indices);
// Broadcast the warp_id computed by lane 0 to ensure dependent code
// is compiled as warp-uniform.
@@ -552,7 +634,8 @@ public:
ptr_C,
params.problem_size.mn(),
thread_idx,
threadblock_offset
threadblock_offset,
params.ptr_scatter_D_indices
);
// Tile iterator writing to destination tensor.
@@ -561,7 +644,8 @@ public:
ptr_D,
params.problem_size.mn(),
thread_idx,
threadblock_offset
threadblock_offset,
params.ptr_scatter_D_indices
);
Epilogue epilogue(
@@ -579,7 +663,6 @@ public:
}
semaphore.wait(threadblock_tile_offset.k());
}
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -370,11 +376,49 @@ public:
static int const kAlignmentB = Mma::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
if ((problem_size.m() % kAlignmentA) || (problem_size.k() % kAlignmentA) ||
(problem_size.n() % kAlignmentB) || (problem_size.k() % kAlignmentB) ||
(problem_size.m() % kAlignmentC) || (problem_size.n() % kAlignmentC)) {
bool isAMisaligned = false;
bool isBMisaligned = false;
bool isCMisaligned = false;
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand");
if (platform::is_same<LayoutA, layout::RowMajor>::value) {
isAMisaligned = problem_size.k() % kAlignmentA;
} else if (platform::is_same<LayoutA, layout::ColumnMajor>::value) {
isAMisaligned = problem_size.m() % kAlignmentA;
} else if (platform::is_same<LayoutA, layout::ColumnMajorInterleaved<32>>::value
|| platform::is_same<LayoutA, layout::ColumnMajorInterleaved<64>>::value) {
isAMisaligned = problem_size.k() % kAlignmentA;
}
if (platform::is_same<LayoutB, layout::RowMajor>::value) {
isBMisaligned = problem_size.n() % kAlignmentB;
} else if (platform::is_same<LayoutB, layout::ColumnMajor>::value) {
isBMisaligned = problem_size.k() % kAlignmentB;
} else if (platform::is_same<LayoutB, layout::RowMajorInterleaved<32>>::value
|| platform::is_same<LayoutB, layout::RowMajorInterleaved<64>>::value) {
isBMisaligned = problem_size.k() % kAlignmentB;
}
if (platform::is_same<LayoutC, layout::RowMajor>::value) {
isCMisaligned = problem_size.n() % kAlignmentC;
} else if (platform::is_same<LayoutC, layout::ColumnMajor>::value) {
isCMisaligned = problem_size.m() % kAlignmentC;
} else if (platform::is_same<LayoutC, layout::ColumnMajorInterleaved<32>>::value
|| platform::is_same<LayoutC, layout::ColumnMajorInterleaved<64>>::value) {
isCMisaligned = problem_size.n() % kAlignmentC;
}
if (isAMisaligned) {
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand for A operand");
return Status::kErrorMisalignedOperand;
}
if (isBMisaligned) {
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand for B operand");
return Status::kErrorMisalignedOperand;
}
if (isCMisaligned) {
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand for C operand");
return Status::kErrorMisalignedOperand;
}
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -344,13 +350,57 @@ public:
layout::RowMajorInterleaved<64>>::value)
? 64
: Mma::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
static int const kAlignmentC = (platform::is_same<LayoutC,
layout::ColumnMajorInterleaved<32>>::value)
? 32
: (platform::is_same<LayoutC,
layout::ColumnMajorInterleaved<64>>::value)
? 64
: Epilogue::OutputTileIterator::kElementsPerAccess;
if ((problem_size.m() % kAlignmentA) || (problem_size.k() % kAlignmentA) ||
(problem_size.n() % kAlignmentB) || (problem_size.k() % kAlignmentB) ||
(problem_size.m() % kAlignmentC) || (problem_size.n() % kAlignmentC)) {
bool isAMisaligned = false;
bool isBMisaligned = false;
bool isCMisaligned = false;
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand");
if (platform::is_same<LayoutA, layout::RowMajor>::value) {
isAMisaligned = problem_size.k() % kAlignmentA;
} else if (platform::is_same<LayoutA, layout::ColumnMajor>::value) {
isAMisaligned = problem_size.m() % kAlignmentA;
} else if (platform::is_same<LayoutA, layout::ColumnMajorInterleaved<32>>::value
|| platform::is_same<LayoutA, layout::ColumnMajorInterleaved<64>>::value) {
isAMisaligned = problem_size.k() % kAlignmentA;
}
if (platform::is_same<LayoutB, layout::RowMajor>::value) {
isBMisaligned = problem_size.n() % kAlignmentB;
} else if (platform::is_same<LayoutB, layout::ColumnMajor>::value) {
isBMisaligned = problem_size.k() % kAlignmentB;
} else if (platform::is_same<LayoutB, layout::RowMajorInterleaved<32>>::value
|| platform::is_same<LayoutB, layout::RowMajorInterleaved<64>>::value) {
isBMisaligned = problem_size.k() % kAlignmentB;
}
if (platform::is_same<LayoutC, layout::RowMajor>::value) {
isCMisaligned = problem_size.n() % kAlignmentC;
} else if (platform::is_same<LayoutC, layout::ColumnMajor>::value) {
isCMisaligned = problem_size.m() % kAlignmentC;
} else if (platform::is_same<LayoutC, layout::ColumnMajorInterleaved<32>>::value
|| platform::is_same<LayoutC, layout::ColumnMajorInterleaved<64>>::value) {
isCMisaligned = problem_size.n() % kAlignmentC;
}
if (isAMisaligned) {
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand for operand A");
return Status::kErrorMisalignedOperand;
}
if (isBMisaligned) {
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand for operand B");
return Status::kErrorMisalignedOperand;
}
if (isCMisaligned) {
CUTLASS_TRACE_HOST(" returning kErrorMisalignedOperand for operand C");
return Status::kErrorMisalignedOperand;
}
+24 -18
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
@@ -0,0 +1,778 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/fast_math.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/matrix_coord.h"
#include "cutlass/complex.h"
#include "cutlass/semaphore.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <
typename Mma1_, ///! Threadblock-scoped matrix multiply-accumulate (A*B^T)
typename Mma2_, ///! Threadblock-scoped matrix multiply-accumulate (B*A^T)
typename Epilogue_, ///! Epilogue
typename ThreadblockSwizzle_, ///! Threadblock swizzling function
FillMode FillModeC_, ///! Fill Mode for C (kLower or kUpper)
BlasMode BlasMode_ ///! Blas3 computation mode
>
struct Rank2KUniversal {
public:
using Mma1 = Mma1_;
using Mma2 = Mma2_;
using Epilogue = Epilogue_;
using EpilogueOutputOp = typename Epilogue::OutputOp;
using ThreadblockSwizzle = ThreadblockSwizzle_;
using ElementA = typename Mma1::IteratorA::Element;
using ElementB = typename Mma1::IteratorB::Element;
// Mma1 (A x B^T)
using LayoutA = typename Mma1::IteratorA::Layout;
using LayoutBT = typename Mma1::IteratorB::Layout;
static ComplexTransform const kMma1TransformA = Mma1::kTransformA;
static ComplexTransform const kMma1TransformB = Mma1::kTransformB;
// Mma2 (B x A^T)
using LayoutB = typename Mma2::IteratorA::Layout;
using LayoutAT = typename Mma2::IteratorB::Layout;
static ComplexTransform const kMma2TransformA = Mma2::kTransformA;
static ComplexTransform const kMma2TransformB = Mma2::kTransformB;
// Common type definitions for Mma1 and Mma2
using Operator = typename Mma1::Operator;
using OperatorClass = typename Mma1::Operator::OperatorClass;
using ThreadblockShape = typename Mma1::Shape;
using WarpShape = typename Mma1::Operator::Shape;
using InstructionShape = typename Mma1::Policy::Operator::InstructionShape;
using ArchTag = typename Mma1::ArchTag;
static int const kStages = Mma1::kStages;
static int const kAlignmentA = Mma1::IteratorA::AccessType::kElements;
static int const kAlignmentB = Mma1::IteratorB::AccessType::kElements;
// Output related typedefinitions
using ElementC = typename Epilogue::OutputTileIterator::Element;
using LayoutC = typename Epilogue::OutputTileIterator::Layout;
static FillMode const kFillModeC = FillModeC_;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
static BlasMode const kBlasMode = BlasMode_;
/// Warp count (concept: GemmShape)
using WarpCount = typename Mma1::WarpCount;
static int const kThreadCount = 32 * WarpCount::kCount;
//
// Structures
//
/// Argument structure
struct Arguments {
//
// Data members
//
GemmUniversalMode mode;
GemmCoord problem_size;
int batch_count;
typename EpilogueOutputOp::Params epilogue;
void const * ptr_A;
void const * ptr_B;
void const * ptr_C;
void * ptr_D;
int64_t batch_stride_A;
int64_t batch_stride_B;
int64_t batch_stride_C;
int64_t batch_stride_D;
typename LayoutA::Stride::Index lda;
typename LayoutB::Stride::Index ldb;
typename LayoutC::Stride::Index ldc;
typename LayoutC::Stride::Index ldd;
//
// Methods
//
Arguments():
mode(GemmUniversalMode::kGemm),
batch_count(1),
ptr_A(nullptr), ptr_B(nullptr), ptr_C(nullptr), ptr_D(nullptr) { }
/// constructs an arguments structure
Arguments(
GemmUniversalMode mode,
GemmCoord problem_size,
int batch_count,
typename EpilogueOutputOp::Params epilogue,
void const * ptr_A,
void const * ptr_B,
void const * ptr_C,
void * ptr_D,
int64_t batch_stride_A,
int64_t batch_stride_B,
int64_t batch_stride_C,
int64_t batch_stride_D,
typename LayoutA::Stride::Index lda,
typename LayoutB::Stride::Index ldb,
typename LayoutC::Stride::Index ldc,
typename LayoutC::Stride::Index ldd
):
mode(mode),
problem_size(problem_size),
batch_count(batch_count),
epilogue(epilogue),
ptr_A(ptr_A), ptr_B(ptr_B), ptr_C(ptr_C), ptr_D(ptr_D),
batch_stride_A(batch_stride_A), batch_stride_C(batch_stride_C), batch_stride_D(batch_stride_D),
lda(lda), ldb(ldb), ldc(ldc), ldd(ldd) {
}
/// Returns arguments for a the transposed problem
Arguments transposed_problem() const {
Arguments args(*this);
std::swap(args.ptr_A, args.ptr_B);
std::swap(args.lda, args.ldb);
std::swap(args.batch_stride_A, args.batch_stride_B);
return args;
}
};
//
// Structure for precomputing values in host memory and passing to kernels
//
/// Parameters structure
struct Params {
cutlass::gemm::GemmCoord problem_size;
cutlass::gemm::GemmCoord grid_tiled_shape;
int swizzle_log_tile;
// Mma1 Iterator A and B params
typename Mma1::IteratorA::Params params_A;
typename Mma1::IteratorB::Params params_BT;
// Mma2 Iterator A and B params
typename Mma2::IteratorA::Params params_B;
typename Mma2::IteratorB::Params params_AT;
typename Epilogue::OutputTileIterator::Params params_C;
typename Epilogue::OutputTileIterator::Params params_D;
typename EpilogueOutputOp::Params output_op;
GemmUniversalMode mode;
int batch_count;
int gemm_k_size;
void * ptr_A;
void * ptr_B;
void * ptr_C;
void * ptr_D;
int64_t batch_stride_A;
int64_t batch_stride_B;
int64_t batch_stride_C;
int64_t batch_stride_D;
int *semaphore;
//
// Methods
//
CUTLASS_HOST_DEVICE
Params():
swizzle_log_tile(0),
params_A(0),
params_BT(0),
params_B(0),
params_AT(0),
params_C(0),
params_D(0),
batch_count(0),
gemm_k_size(0),
mode(cutlass::gemm::GemmUniversalMode::kGemm),
ptr_A(nullptr),
ptr_B(nullptr),
ptr_C(nullptr),
ptr_D(nullptr),
batch_stride_A(0),
batch_stride_B(0),
batch_stride_C(0),
batch_stride_D(0),
semaphore(nullptr) { }
CUTLASS_HOST_DEVICE
Params(
Arguments const &args,
cutlass::gemm::GemmCoord const & grid_tiled_shape,
int gemm_k_size,
void *workspace = nullptr
):
problem_size(args.problem_size),
grid_tiled_shape(grid_tiled_shape),
swizzle_log_tile(ThreadblockSwizzle().get_log_tile(grid_tiled_shape)),
params_A(args.lda),
params_BT(args.ldb),
params_B(args.ldb),
params_AT(args.lda),
params_C(args.ldc),
params_D(args.ldd),
output_op(args.epilogue),
mode(args.mode),
batch_count(args.batch_count),
gemm_k_size(gemm_k_size),
ptr_A(const_cast<void *>(args.ptr_A)),
ptr_B(const_cast<void *>(args.ptr_B)),
ptr_C(const_cast<void *>(args.ptr_C)),
ptr_D(const_cast<void *>(args.ptr_D)),
batch_stride_A(args.batch_stride_A),
batch_stride_B(args.batch_stride_B),
batch_stride_C(args.batch_stride_C),
batch_stride_D(args.batch_stride_D),
semaphore(static_cast<int *>(workspace)) {
}
CUTLASS_HOST_DEVICE
void update(
Arguments const &args,
void *workspace = nullptr) {
ptr_A = const_cast<void *>(args.ptr_A);
ptr_B = const_cast<void *>(args.ptr_B);
ptr_C = const_cast<void *>(args.ptr_C);
ptr_D = args.ptr_D;
output_op = args.epilogue;
semaphore = static_cast<int *>(workspace);
}
};
/// Shared memory storage structure
union SharedStorage {
typename Mma1::SharedStorage mma1_main_loop;
typename Mma2::SharedStorage mma2_main_loop;
typename Epilogue::SharedStorage epilogue;
};
public:
//
// Methods
//
CUTLASS_DEVICE
Rank2KUniversal() { }
/// Determines whether kernel satisfies alignment
static Status can_implement(
cutlass::gemm::GemmCoord const & problem_size) {
static int const kAlignmentA = Mma1::IteratorA::AccessType::kElements;
static int const kAlignmentB = Mma1::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
if ((problem_size.m() % kAlignmentA) || (problem_size.k() % kAlignmentA) ||
(problem_size.n() % kAlignmentB) || (problem_size.k() % kAlignmentB) ||
(problem_size.m() % kAlignmentC) || (problem_size.n() % kAlignmentC)) {
return Status::kErrorMisalignedOperand;
}
return Status::kSuccess;
}
static Status can_implement(Arguments const &args) {
return can_implement(args.problem_size);
}
/// Executes one GEMM
CUTLASS_DEVICE
void operator()(Params const &params, SharedStorage &shared_storage) {
// Compute threadblock location
ThreadblockSwizzle threadblock_swizzle;
cutlass::gemm::GemmCoord threadblock_tile_offset =
threadblock_swizzle.get_tile_offset(params.swizzle_log_tile);
// Early exit if CTA is out of range
if (params.grid_tiled_shape.m() <= threadblock_tile_offset.m() ||
params.grid_tiled_shape.n() <= threadblock_tile_offset.n()) {
return;
}
// Early exit if Fill Mode is Lower and
// if the entire tile is above the main diagonal (bottom-left corner is at or above the diagonal)
if (kFillModeC == cutlass::FillMode::kLower &&
(threadblock_tile_offset.m() + 1) * Mma1::Shape::kM <= threadblock_tile_offset.n() * Mma1::Shape::kN) {
return;
}
// Early exit if Fill Mode is Upper and
// if the entire tile is below the main diagonal (top-right corner is at or below the diagonal)
if (kFillModeC == cutlass::FillMode::kUpper &&
threadblock_tile_offset.m() * Mma1::Shape::kM >= (threadblock_tile_offset.n() + 1) * Mma1::Shape::kN) {
return;
}
bool tile_on_diagonal = false;
// Mark tiles that are being crossed by the main diagonal
// (top-right and bottom-left corners are on either side of the diagonal)
if ((threadblock_tile_offset.m() + 1) * Mma1::Shape::kM > threadblock_tile_offset.n() * Mma1::Shape::kN
&& threadblock_tile_offset.m() * Mma1::Shape::kM < (threadblock_tile_offset.n() + 1) * Mma1::Shape::kN) {
tile_on_diagonal = true;
}
int offset_k = 0;
int problem_size_k = params.problem_size.k();
ElementA *ptr_A = static_cast<ElementA *>(params.ptr_A);
ElementB *ptr_B = static_cast<ElementB *>(params.ptr_B);
//
// Fetch pointers based on mode.
//
if (params.mode == GemmUniversalMode::kGemm ||
params.mode == GemmUniversalMode::kGemmSplitKParallel) {
if (threadblock_tile_offset.k() + 1 < params.grid_tiled_shape.k()) {
problem_size_k = (threadblock_tile_offset.k() + 1) * params.gemm_k_size;
}
offset_k = threadblock_tile_offset.k() * params.gemm_k_size;
}
__syncthreads();
// Compute initial location in logical coordinates
cutlass::MatrixCoord tb_offset_MxK{
threadblock_tile_offset.m() * Mma1::Shape::kM,
offset_k,
};
cutlass::MatrixCoord tb_offset_KxN{
offset_k,
threadblock_tile_offset.n() * Mma1::Shape::kN
};
// Compute position within threadblock
int thread_idx = threadIdx.x;
// Construct iterators to A and B operands for Mma1
typename Mma1::IteratorA iterator_A(
params.params_A,
ptr_A,
{params.problem_size.m(), problem_size_k},
thread_idx,
tb_offset_MxK);
typename Mma1::IteratorB iterator_BT(
params.params_BT,
ptr_B,
{problem_size_k, params.problem_size.n()},
thread_idx,
tb_offset_KxN);
// Construct iterators to A and B operands for Mma2
typename Mma2::IteratorA iterator_B(
params.params_B,
ptr_B,
{params.problem_size.m(), problem_size_k},
thread_idx,
tb_offset_MxK);
typename Mma2::IteratorB iterator_AT(
params.params_AT,
ptr_A,
{problem_size_k, params.problem_size.n()},
thread_idx,
tb_offset_KxN);
// Broadcast the warp_id computed by lane 0 to ensure dependent code
// is compiled as warp-uniform.
int warp_idx = __shfl_sync(0xffffffff, threadIdx.x / 32, 0);
int lane_idx = threadIdx.x % 32;
//
// Main loop
//
// Construct thread-scoped matrix multiply for Mma1 (A x BT)
Mma1 mma1(shared_storage.mma1_main_loop, thread_idx, warp_idx, lane_idx);
// Construct thread-scoped matrix multiply for Mma2 (B x AT)
Mma2 mma2(shared_storage.mma2_main_loop, thread_idx, warp_idx, lane_idx);
typename Mma1::FragmentC accumulators;
accumulators.clear();
// Compute threadblock-scoped matrix multiply-add
int gemm_k_iterations = (problem_size_k - offset_k + Mma1::Shape::kK - 1) / Mma1::Shape::kK;
// Compute threadblock-scoped matrix multiply-add (A x BT)
mma1(
gemm_k_iterations,
accumulators,
iterator_A,
iterator_BT,
accumulators);
// HER2K kernel needs Alpha to be complex and is conj(Alpha) is applied to the second HERK.
if (kBlasMode == BlasMode::kHermitian) {
//
// Epilogue
//
EpilogueOutputOp output_op(params.output_op);
//
// Masked tile iterators constructed from members
//
threadblock_tile_offset =
threadblock_swizzle.get_tile_offset(params.swizzle_log_tile);
//assume identity swizzle
MatrixCoord threadblock_offset(
threadblock_tile_offset.m() * Mma1::Shape::kM,
threadblock_tile_offset.n() * Mma1::Shape::kN
);
int block_idx = threadblock_tile_offset.m() + threadblock_tile_offset.n() * params.grid_tiled_shape.m();
ElementC *ptr_C = static_cast<ElementC *>(params.ptr_C);
ElementC *ptr_D = static_cast<ElementC *>(params.ptr_D);
//
// Fetch pointers based on mode.
//
// Construct the semaphore.
Semaphore semaphore(params.semaphore + block_idx, thread_idx);
if (params.mode == GemmUniversalMode::kGemm) {
// If performing a reduction via split-K, fetch the initial synchronization
if (params.grid_tiled_shape.k() > 1) {
// Fetch the synchronization lock initially but do not block.
semaphore.fetch();
// Indicate which position in a serial reduction the output operator is currently updating
output_op.set_k_partition(threadblock_tile_offset.k(), params.grid_tiled_shape.k());
}
}
else if (params.mode == GemmUniversalMode::kGemmSplitKParallel) {
ptr_D += threadblock_tile_offset.k() * params.batch_stride_D;
}
else if (params.mode == GemmUniversalMode::kBatched) {
ptr_C += threadblock_tile_offset.k() * params.batch_stride_C;
ptr_D += threadblock_tile_offset.k() * params.batch_stride_D;
}
else if (params.mode == GemmUniversalMode::kArray) {
ptr_C = static_cast<ElementC * const *>(params.ptr_C)[threadblock_tile_offset.k()];
ptr_D = static_cast<ElementC * const *>(params.ptr_D)[threadblock_tile_offset.k()];
}
// If CTA not on diagonal, FillMode doesn't apply.
FillMode kFillModeCTA = tile_on_diagonal ? kFillModeC : FillMode::kNone;
// Tile iterator loading from source tensor.
typename Epilogue::OutputTileIterator iterator_C(
params.params_C,
ptr_C,
params.problem_size.mn(),
thread_idx,
threadblock_offset,
kFillModeCTA
);
// Tile iterator writing to destination tensor.
typename Epilogue::OutputTileIterator iterator_D(
params.params_D,
ptr_D,
params.problem_size.mn(),
thread_idx,
threadblock_offset,
kFillModeCTA
);
Epilogue epilogue(
shared_storage.epilogue,
thread_idx,
warp_idx,
lane_idx);
// Wait on the semaphore - this latency may have been covered by iterator construction
if (params.mode == GemmUniversalMode::kGemm && params.grid_tiled_shape.k() > 1) {
// For subsequent threadblocks, the source matrix is held in the 'D' tensor.
if (threadblock_tile_offset.k()) {
iterator_C = iterator_D;
}
semaphore.wait(threadblock_tile_offset.k());
__threadfence();
}
// Execute the epilogue operator to update the destination tensor.
epilogue(
output_op,
iterator_D,
accumulators,
iterator_C);
//
// Release the semaphore
//
if (params.mode == GemmUniversalMode::kGemm && params.grid_tiled_shape.k() > 1) {
int lock = 0;
if (params.grid_tiled_shape.k() == threadblock_tile_offset.k() + 1) {
// The final threadblock resets the semaphore for subsequent grids.
lock = 0;
}
else {
// Otherwise, the semaphore is incremented
lock = threadblock_tile_offset.k() + 1;
}
semaphore.release(lock);
}
__syncthreads();
accumulators.clear();
}
// Compute threadblock-scoped matrix multiply-add (B x AT)
mma2(
gemm_k_iterations,
accumulators,
iterator_B,
iterator_AT,
accumulators);
//
// Epilogue
//
EpilogueOutputOp output_op(params.output_op);
/* Needed for HER2K where the second HERK is multiplied by conj(alpha) */
typename EpilogueOutputOp::Params second_her2k_params(conj(params.output_op.alpha), 1);
EpilogueOutputOp output_op_her2k(second_her2k_params);
//
// Masked tile iterators constructed from members
//
threadblock_tile_offset =
threadblock_swizzle.get_tile_offset(params.swizzle_log_tile);
//assume identity swizzle
MatrixCoord threadblock_offset(
threadblock_tile_offset.m() * Mma1::Shape::kM,
threadblock_tile_offset.n() * Mma1::Shape::kN
);
int block_idx = threadblock_tile_offset.m() + threadblock_tile_offset.n() * params.grid_tiled_shape.m();
ElementC *ptr_C = static_cast<ElementC *>(params.ptr_C);
// HER2K kernel needs Alpha to be complex and is conj(Alpha) is applied to the second HERK.
if (kBlasMode == BlasMode::kHermitian) {
ptr_C = static_cast<ElementC *>(params.ptr_D);
}
ElementC *ptr_D = static_cast<ElementC *>(params.ptr_D);
//
// Fetch pointers based on mode.
//
// Construct the semaphore.
Semaphore semaphore(params.semaphore + block_idx, thread_idx);
if (params.mode == GemmUniversalMode::kGemm) {
// If performing a reduction via split-K, fetch the initial synchronization
if (params.grid_tiled_shape.k() > 1) {
// Fetch the synchronization lock initially but do not block.
semaphore.fetch();
// Indicate which position in a serial reduction the output operator is currently updating
if (kBlasMode == BlasMode::kSymmetric) {
output_op.set_k_partition(threadblock_tile_offset.k(), params.grid_tiled_shape.k());
} else {
output_op_her2k.set_k_partition(threadblock_tile_offset.k(), params.grid_tiled_shape.k());
}
}
}
else if (params.mode == GemmUniversalMode::kGemmSplitKParallel) {
ptr_D += threadblock_tile_offset.k() * params.batch_stride_D;
}
else if (params.mode == GemmUniversalMode::kBatched) {
ptr_C += threadblock_tile_offset.k() * params.batch_stride_C;
ptr_D += threadblock_tile_offset.k() * params.batch_stride_D;
}
else if (params.mode == GemmUniversalMode::kArray) {
ptr_C = static_cast<ElementC * const *>(params.ptr_C)[threadblock_tile_offset.k()];
ptr_D = static_cast<ElementC * const *>(params.ptr_D)[threadblock_tile_offset.k()];
}
// If CTA not on diagonal, FillMode doesn't apply.
FillMode kFillModeCTA = tile_on_diagonal ? kFillModeC : FillMode::kNone;
// Tile iterator loading from source tensor.
typename Epilogue::OutputTileIterator iterator_C(
params.params_C,
ptr_C,
params.problem_size.mn(),
thread_idx,
threadblock_offset,
kFillModeCTA
);
// Tile iterator writing to destination tensor.
typename Epilogue::OutputTileIterator iterator_D(
params.params_D,
ptr_D,
params.problem_size.mn(),
thread_idx,
threadblock_offset,
kFillModeCTA
);
Epilogue epilogue(
shared_storage.epilogue,
thread_idx,
warp_idx,
lane_idx);
// Wait on the semaphore - this latency may have been covered by iterator construction
if (params.mode == GemmUniversalMode::kGemm && params.grid_tiled_shape.k() > 1) {
// For subsequent threadblocks, the source matrix is held in the 'D' tensor.
if (threadblock_tile_offset.k()) {
iterator_C = iterator_D;
}
semaphore.wait(threadblock_tile_offset.k());
__threadfence();
}
// Execute the epilogue operator to update the destination tensor.
if (kBlasMode == BlasMode::kSymmetric) {
epilogue(
output_op,
iterator_D,
accumulators,
iterator_C);
} else {
epilogue(
output_op_her2k,
iterator_D,
accumulators,
iterator_C);
}
//
// Release the semaphore
//
if (params.mode == GemmUniversalMode::kGemm && params.grid_tiled_shape.k() > 1) {
int lock = 0;
if (params.grid_tiled_shape.k() == threadblock_tile_offset.k() + 1) {
// The final threadblock resets the semaphore for subsequent grids.
lock = 0;
}
else {
// Otherwise, the semaphore is incremented
lock = threadblock_tile_offset.k() + 1;
}
semaphore.release(lock);
}
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////
@@ -0,0 +1,565 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/fast_math.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/matrix_coord.h"
#include "cutlass/complex.h"
#include "cutlass/semaphore.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <
typename Mma_, ///! Threadblock-scoped matrix multiply-accumulate
typename Epilogue_, ///! Epilogue
typename ThreadblockSwizzle_, ///! Threadblock swizzling function
FillMode FillModeC_ ///! Fill Mode for C (kLower or kUpper)
>
struct RankKUniversal {
public:
using Mma = Mma_;
using Epilogue = Epilogue_;
using EpilogueOutputOp = typename Epilogue::OutputOp;
using ThreadblockSwizzle = ThreadblockSwizzle_;
using ElementA = typename Mma::IteratorA::Element;
using LayoutA = typename Mma::IteratorA::Layout;
using ElementB = typename Mma::IteratorB::Element;
using LayoutB = typename Mma::IteratorB::Layout;
using ElementC = typename Epilogue::OutputTileIterator::Element;
using LayoutC = typename Epilogue::OutputTileIterator::Layout;
static FillMode const kFillModeC = FillModeC_;
static ComplexTransform const kTransformA = Mma::kTransformA;
static ComplexTransform const kTransformB = Mma::kTransformB;
using Operator = typename Mma::Operator;
using OperatorClass = typename Mma::Operator::OperatorClass;
using ThreadblockShape = typename Mma::Shape;
using WarpShape = typename Mma::Operator::Shape;
using InstructionShape = typename Mma::Policy::Operator::InstructionShape;
using ArchTag = typename Mma::ArchTag;
static int const kStages = Mma::kStages;
static int const kAlignmentA = Mma::IteratorA::AccessType::kElements;
static int const kAlignmentB = Mma::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
/// Warp count (concept: GemmShape)
using WarpCount = typename Mma::WarpCount;
static int const kThreadCount = 32 * WarpCount::kCount;
/// Split-K preserves splits that are 128b aligned
static int const kSplitKAlignment = 128 / sizeof_bits<ElementA>::value;
//
// Structures
//
/// Argument structure
struct Arguments {
//
// Data members
//
GemmUniversalMode mode;
GemmCoord problem_size;
int batch_count;
typename EpilogueOutputOp::Params epilogue;
void const * ptr_A;
void const * ptr_C;
void * ptr_D;
int64_t batch_stride_A;
int64_t batch_stride_C;
int64_t batch_stride_D;
typename LayoutA::Stride::Index lda;
typename LayoutB::Stride::Index ldb;
typename LayoutC::Stride::Index ldc;
typename LayoutC::Stride::Index ldd;
//
// Methods
//
Arguments():
mode(GemmUniversalMode::kGemm),
batch_count(1),
ptr_A(nullptr), ptr_C(nullptr), ptr_D(nullptr) { }
/// constructs an arguments structure
Arguments(
GemmUniversalMode mode,
GemmCoord problem_size,
int batch_count,
typename EpilogueOutputOp::Params epilogue,
void const * ptr_A,
void const * ptr_C,
void * ptr_D,
int64_t batch_stride_A,
int64_t batch_stride_C,
int64_t batch_stride_D,
typename LayoutA::Stride::Index lda,
typename LayoutC::Stride::Index ldc,
typename LayoutC::Stride::Index ldd
):
mode(mode),
problem_size(problem_size),
batch_count(batch_count),
epilogue(epilogue),
ptr_A(ptr_A), ptr_C(ptr_C), ptr_D(ptr_D),
batch_stride_A(batch_stride_A), batch_stride_C(batch_stride_C), batch_stride_D(batch_stride_D),
lda(lda), ldb(ldb), ldc(ldc), ldd(ldd) {
}
};
//
// Structure for precomputing values in host memory and passing to kernels
//
/// Parameters structure
struct Params {
cutlass::gemm::GemmCoord problem_size;
cutlass::gemm::GemmCoord grid_tiled_shape;
int swizzle_log_tile;
typename Mma::IteratorA::Params params_A;
typename Mma::IteratorB::Params params_B;
typename Epilogue::OutputTileIterator::Params params_C;
typename Epilogue::OutputTileIterator::Params params_D;
typename EpilogueOutputOp::Params output_op;
GemmUniversalMode mode;
int batch_count;
int gemm_k_size;
void * ptr_A;
void * ptr_B;
void * ptr_C;
void * ptr_D;
int64_t batch_stride_A;
int64_t batch_stride_B;
int64_t batch_stride_C;
int64_t batch_stride_D;
int *semaphore;
//
// Methods
//
CUTLASS_HOST_DEVICE
Params():
swizzle_log_tile(0),
params_A(0),
params_B(0),
params_C(0),
params_D(0),
batch_count(0),
gemm_k_size(0),
mode(cutlass::gemm::GemmUniversalMode::kGemm),
ptr_A(nullptr),
ptr_B(nullptr),
ptr_C(nullptr),
ptr_D(nullptr),
batch_stride_A(0),
batch_stride_B(0),
batch_stride_C(0),
batch_stride_D(0),
semaphore(nullptr) { }
CUTLASS_HOST_DEVICE
Params(
Arguments const &args,
cutlass::gemm::GemmCoord const & grid_tiled_shape,
int gemm_k_size,
void *workspace = nullptr
):
problem_size(args.problem_size),
grid_tiled_shape(grid_tiled_shape),
swizzle_log_tile(ThreadblockSwizzle().get_log_tile(grid_tiled_shape)),
params_A(args.lda),
params_B(args.lda),
params_C(args.ldc),
params_D(args.ldd),
output_op(args.epilogue),
mode(args.mode),
batch_count(args.batch_count),
gemm_k_size(gemm_k_size),
ptr_A(const_cast<void *>(args.ptr_A)),
ptr_B(const_cast<void *>(args.ptr_A)),
ptr_C(const_cast<void *>(args.ptr_C)),
ptr_D(const_cast<void *>(args.ptr_D)),
batch_stride_A(args.batch_stride_A),
batch_stride_B(args.batch_stride_A),
batch_stride_C(args.batch_stride_C),
batch_stride_D(args.batch_stride_D),
semaphore(static_cast<int *>(workspace)) {
}
CUTLASS_HOST_DEVICE
void update(
Arguments const &args,
void *workspace = nullptr) {
ptr_A = const_cast<void *>(args.ptr_A);
ptr_B = const_cast<void *>(args.ptr_A);
ptr_C = const_cast<void *>(args.ptr_C);
ptr_D = args.ptr_D;
output_op = args.epilogue;
semaphore = static_cast<int *>(workspace);
}
};
/// Shared memory storage structure
union SharedStorage {
typename Mma::SharedStorage main_loop;
typename Epilogue::SharedStorage epilogue;
};
public:
//
// Methods
//
CUTLASS_DEVICE
RankKUniversal() { }
/// Determines whether kernel satisfies alignment
static Status can_implement(
cutlass::gemm::GemmCoord const & problem_size) {
static int const kAlignmentA = Mma::IteratorA::AccessType::kElements;
static int const kAlignmentB = Mma::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
if ((problem_size.m() % kAlignmentA) || (problem_size.k() % kAlignmentA) ||
(problem_size.n() % kAlignmentB) || (problem_size.k() % kAlignmentB) ||
(problem_size.m() % kAlignmentC) || (problem_size.n() % kAlignmentC)) {
return Status::kErrorMisalignedOperand;
}
return Status::kSuccess;
}
static Status can_implement(Arguments const &args) {
return can_implement(args.problem_size);
}
/// Executes one GEMM
CUTLASS_DEVICE
void operator()(Params const &params, SharedStorage &shared_storage) {
// Compute threadblock location
ThreadblockSwizzle threadblock_swizzle;
cutlass::gemm::GemmCoord threadblock_tile_offset =
threadblock_swizzle.get_tile_offset(params.swizzle_log_tile);
// Early exit if CTA is out of range
if (params.grid_tiled_shape.m() <= threadblock_tile_offset.m() ||
params.grid_tiled_shape.n() <= threadblock_tile_offset.n()) {
return;
}
// Early exit if Fill Mode is Lower and
// if the entire tile is above the main diagonal (bottom-left corner is at or above the diagonal)
if (kFillModeC == cutlass::FillMode::kLower &&
(threadblock_tile_offset.m() + 1) * Mma::Shape::kM <= threadblock_tile_offset.n() * Mma::Shape::kN) {
return;
}
// Early exit if Fill Mode is Upper and
// if the entire tile is below the main diagonal (top-right corner is at or below the diagonal)
if (kFillModeC == cutlass::FillMode::kUpper &&
threadblock_tile_offset.m() * Mma::Shape::kM >= (threadblock_tile_offset.n() + 1) * Mma::Shape::kN) {
return;
}
bool tile_on_diagonal = false;
// Mark tiles that are being crossed by the main diagonal
// (top-right and bottom-left corners are on either side of the diagonal)
if ((threadblock_tile_offset.m() + 1) * Mma::Shape::kM > threadblock_tile_offset.n() * Mma::Shape::kN
&& threadblock_tile_offset.m() * Mma::Shape::kM < (threadblock_tile_offset.n() + 1) * Mma::Shape::kN) {
tile_on_diagonal = true;
}
int offset_k = 0;
int problem_size_k = params.problem_size.k();
ElementA *ptr_A = static_cast<ElementA *>(params.ptr_A);
ElementB *ptr_B = static_cast<ElementB *>(params.ptr_B);
//
// Fetch pointers based on mode.
//
if (params.mode == GemmUniversalMode::kGemm ||
params.mode == GemmUniversalMode::kGemmSplitKParallel) {
if (threadblock_tile_offset.k() + 1 < params.grid_tiled_shape.k()) {
problem_size_k = (threadblock_tile_offset.k() + 1) * params.gemm_k_size;
}
offset_k = threadblock_tile_offset.k() * params.gemm_k_size;
}
else if (params.mode == GemmUniversalMode::kBatched) {
ptr_A += threadblock_tile_offset.k() * params.batch_stride_A;
ptr_B += threadblock_tile_offset.k() * params.batch_stride_B;
}
else if (params.mode == GemmUniversalMode::kArray) {
ptr_A = static_cast<ElementA * const *>(params.ptr_A)[threadblock_tile_offset.k()];
ptr_B = static_cast<ElementB * const *>(params.ptr_B)[threadblock_tile_offset.k()];
}
__syncthreads();
// Compute initial location in logical coordinates
cutlass::MatrixCoord tb_offset_A{
threadblock_tile_offset.m() * Mma::Shape::kM,
offset_k,
};
cutlass::MatrixCoord tb_offset_B{
offset_k,
threadblock_tile_offset.n() * Mma::Shape::kN
};
// Compute position within threadblock
int thread_idx = threadIdx.x;
// Construct iterators to A and B operands
typename Mma::IteratorA iterator_A(
params.params_A,
ptr_A,
{params.problem_size.m(), problem_size_k},
thread_idx,
tb_offset_A);
typename Mma::IteratorB iterator_B(
params.params_B,
ptr_B,
{problem_size_k, params.problem_size.n()},
thread_idx,
tb_offset_B);
// Broadcast the warp_id computed by lane 0 to ensure dependent code
// is compiled as warp-uniform.
int warp_idx = __shfl_sync(0xffffffff, threadIdx.x / 32, 0);
int lane_idx = threadIdx.x % 32;
//
// Main loop
//
// Construct thread-scoped matrix multiply
Mma mma(shared_storage.main_loop, thread_idx, warp_idx, lane_idx);
typename Mma::FragmentC accumulators;
accumulators.clear();
// Compute threadblock-scoped matrix multiply-add
int gemm_k_iterations = (problem_size_k - offset_k + Mma::Shape::kK - 1) / Mma::Shape::kK;
// Compute threadblock-scoped matrix multiply-add
mma(
gemm_k_iterations,
accumulators,
iterator_A,
iterator_B,
accumulators);
//
// Epilogue
//
EpilogueOutputOp output_op(params.output_op);
//
// Masked tile iterators constructed from members
//
threadblock_tile_offset =
threadblock_swizzle.get_tile_offset(params.swizzle_log_tile);
//assume identity swizzle
MatrixCoord threadblock_offset(
threadblock_tile_offset.m() * Mma::Shape::kM,
threadblock_tile_offset.n() * Mma::Shape::kN
);
int block_idx = threadblock_tile_offset.m() + threadblock_tile_offset.n() * params.grid_tiled_shape.m();
ElementC *ptr_C = static_cast<ElementC *>(params.ptr_C);
ElementC *ptr_D = static_cast<ElementC *>(params.ptr_D);
//
// Fetch pointers based on mode.
//
// Construct the semaphore.
Semaphore semaphore(params.semaphore + block_idx, thread_idx);
if (params.mode == GemmUniversalMode::kGemm) {
// If performing a reduction via split-K, fetch the initial synchronization
if (params.grid_tiled_shape.k() > 1) {
// Fetch the synchronization lock initially but do not block.
semaphore.fetch();
// Indicate which position in a serial reduction the output operator is currently updating
output_op.set_k_partition(threadblock_tile_offset.k(), params.grid_tiled_shape.k());
}
}
else if (params.mode == GemmUniversalMode::kGemmSplitKParallel) {
ptr_D += threadblock_tile_offset.k() * params.batch_stride_D;
}
else if (params.mode == GemmUniversalMode::kBatched) {
ptr_C += threadblock_tile_offset.k() * params.batch_stride_C;
ptr_D += threadblock_tile_offset.k() * params.batch_stride_D;
}
else if (params.mode == GemmUniversalMode::kArray) {
ptr_C = static_cast<ElementC * const *>(params.ptr_C)[threadblock_tile_offset.k()];
ptr_D = static_cast<ElementC * const *>(params.ptr_D)[threadblock_tile_offset.k()];
}
// If CTA not on diagonal, FillMode doesn't apply.
FillMode kFillModeCTA = tile_on_diagonal ? kFillModeC : FillMode::kNone;
// Tile iterator loading from source tensor.
typename Epilogue::OutputTileIterator iterator_C(
params.params_C,
ptr_C,
params.problem_size.mn(),
thread_idx,
threadblock_offset,
kFillModeCTA
);
// Tile iterator writing to destination tensor.
typename Epilogue::OutputTileIterator iterator_D(
params.params_D,
ptr_D,
params.problem_size.mn(),
thread_idx,
threadblock_offset,
kFillModeCTA
);
Epilogue epilogue(
shared_storage.epilogue,
thread_idx,
warp_idx,
lane_idx);
// Wait on the semaphore - this latency may have been covered by iterator construction
if (params.mode == GemmUniversalMode::kGemm && params.grid_tiled_shape.k() > 1) {
// For subsequent threadblocks, the source matrix is held in the 'D' tensor.
if (threadblock_tile_offset.k()) {
iterator_C = iterator_D;
}
semaphore.wait(threadblock_tile_offset.k());
__threadfence();
}
// Execute the epilogue operator to update the destination tensor.
epilogue(
output_op,
iterator_D,
accumulators,
iterator_C);
//
// Release the semaphore
//
if (params.mode == GemmUniversalMode::kGemm && params.grid_tiled_shape.k() > 1) {
int lock = 0;
if (params.grid_tiled_shape.k() == threadblock_tile_offset.k() + 1) {
// The final threadblock resets the semaphore for subsequent grids.
lock = 0;
}
else {
// Otherwise, the semaphore is incremented
lock = threadblock_tile_offset.k() + 1;
}
semaphore.release(lock);
}
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////
+24 -18
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 NVIDIA CORPORATION 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
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
+698
View File
@@ -0,0 +1,698 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/fast_math.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/matrix_coord.h"
#include "cutlass/complex.h"
#include "cutlass/semaphore.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <
typename Mma1_, ///! Threadblock-scoped triangular matrix multiply-accumulate (A*B or B*A)
typename Mma2_, ///! Threadblock-scoped triangular matrix multiply-accumulate (AT*B or B*AT)
typename Epilogue_, ///! Epilogue
typename ThreadblockSwizzle_, ///! Threadblock swizzling function
SideMode SideMode_, ///! Side Mode for the kernel (kLeft or kRight)
FillMode FillMode_ ///! Fill Mode for triangular matrix (kLower or kUpper)
>
struct SymmUniversal {
public:
using Mma1 = Mma1_;
using Mma2 = Mma2_;
using Epilogue = Epilogue_;
using EpilogueOutputOp = typename Epilogue::OutputOp;
using ThreadblockSwizzle = ThreadblockSwizzle_;
using ElementA = typename Mma1::IteratorA::Element;
using ElementB = typename Mma1::IteratorB::Element;
// Mma1 (TRMM - with diagonal: C_tmp = alpha * A * B)
using LayoutA = typename Mma1::IteratorA::Layout;
using LayoutBT = typename Mma1::IteratorB::Layout;
static ComplexTransform const kMma1TransformA = Mma1::kTransformA;
static ComplexTransform const kMma1TransformB = Mma1::kTransformB;
// Mma2 (TRMM - withOUT diagonal: alpha * AT * B)
using LayoutB = typename Mma2::IteratorA::Layout;
using LayoutAT = typename Mma2::IteratorB::Layout;
static ComplexTransform const kMma2TransformA = Mma2::kTransformA;
static ComplexTransform const kMma2TransformB = Mma2::kTransformB;
// Common type definitions for Mma1 and Mma2
using Operator = typename Mma1::Operator;
using OperatorClass = typename Mma1::Operator::OperatorClass;
using ThreadblockShape = typename Mma1::Shape;
using WarpShape = typename Mma1::Operator::Shape;
using InstructionShape = typename Mma1::Policy::Operator::InstructionShape;
using ArchTag = typename Mma1::ArchTag;
static int const kStages = Mma1::kStages;
static int const kAlignmentA = Mma1::IteratorA::AccessType::kElements;
static int const kAlignmentB = Mma1::IteratorB::AccessType::kElements;
// Output related typedefinitions
using ElementC = typename Epilogue::OutputTileIterator::Element;
using LayoutC = typename Epilogue::OutputTileIterator::Layout;
static SideMode const kSideModeA = SideMode_;
static FillMode const kFillModeA = FillMode_;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
/// Warp count (concept: GemmShape)
using WarpCount = typename Mma1::WarpCount;
static int const kThreadCount = 32 * WarpCount::kCount;
//
// Structures
//
/// Argument structure
struct Arguments {
//
// Data members
//
GemmUniversalMode mode;
GemmCoord problem_size;
int batch_count;
typename EpilogueOutputOp::Params epilogue;
void const * ptr_A;
void const * ptr_B;
void const * ptr_C;
void * ptr_D;
int64_t batch_stride_A;
int64_t batch_stride_B;
int64_t batch_stride_C;
int64_t batch_stride_D;
typename LayoutA::Stride::Index lda;
typename LayoutB::Stride::Index ldb;
typename LayoutC::Stride::Index ldc;
typename LayoutC::Stride::Index ldd;
//
// Methods
//
Arguments():
mode(GemmUniversalMode::kGemm),
batch_count(1),
ptr_A(nullptr), ptr_B(nullptr), ptr_C(nullptr), ptr_D(nullptr) { }
/// constructs an arguments structure
Arguments(
GemmUniversalMode mode,
GemmCoord problem_size,
int batch_count,
typename EpilogueOutputOp::Params epilogue,
void const * ptr_A,
void const * ptr_B,
void const * ptr_C,
void * ptr_D,
int64_t batch_stride_A,
int64_t batch_stride_B,
int64_t batch_stride_C,
int64_t batch_stride_D,
typename LayoutA::Stride::Index lda,
typename LayoutB::Stride::Index ldb,
typename LayoutC::Stride::Index ldc,
typename LayoutC::Stride::Index ldd
):
mode(mode),
problem_size(problem_size),
batch_count(batch_count),
epilogue(epilogue),
ptr_A(ptr_A), ptr_B(ptr_B), ptr_C(ptr_C), ptr_D(ptr_D),
batch_stride_A(batch_stride_A), batch_stride_C(batch_stride_C), batch_stride_D(batch_stride_D),
lda(lda), ldb(ldb), ldc(ldc), ldd(ldd) {
}
/// Returns arguments for the transposed problem sizes
Arguments transposed_problem_size() const {
Arguments args(*this);
std::swap(args.problem_size.m(), args.problem_size.n());
return args;
}
/// Returns arguments for the transposed matrices
Arguments swapped_matrices() const {
Arguments args(*this);
std::swap(args.ptr_A, args.ptr_B);
std::swap(args.lda, args.ldb);
std::swap(args.batch_stride_A, args.batch_stride_B);
return args;
}
};
//
// Structure for precomputing values in host memory and passing to kernels
//
/// Parameters structure
struct Params {
cutlass::gemm::GemmCoord problem_size;
cutlass::gemm::GemmCoord grid_tiled_shape;
int swizzle_log_tile;
// Mma1 Iterator A and B params
typename Mma1::IteratorA::Params params_A_mma1;
typename Mma1::IteratorB::Params params_B_mma1;
// Mma2 Iterator A and B params
typename Mma2::IteratorA::Params params_A_mma2;
typename Mma2::IteratorB::Params params_B_mma2;
typename Epilogue::OutputTileIterator::Params params_C;
typename Epilogue::OutputTileIterator::Params params_D;
typename EpilogueOutputOp::Params output_op;
GemmUniversalMode mode;
int batch_count;
int gemm_k_size;
void * ptr_A;
void * ptr_B;
void * ptr_C;
void * ptr_D;
int64_t batch_stride_A;
int64_t batch_stride_B;
int64_t batch_stride_C;
int64_t batch_stride_D;
int *semaphore;
//
// Methods
//
CUTLASS_HOST_DEVICE
Params():
swizzle_log_tile(0),
params_A_mma1(0),
params_B_mma1(0),
params_A_mma2(0),
params_B_mma2(0),
params_C(0),
params_D(0),
batch_count(0),
gemm_k_size(0),
mode(cutlass::gemm::GemmUniversalMode::kGemm),
ptr_A(nullptr),
ptr_B(nullptr),
ptr_C(nullptr),
ptr_D(nullptr),
batch_stride_A(0),
batch_stride_B(0),
batch_stride_C(0),
batch_stride_D(0),
semaphore(nullptr) { }
CUTLASS_HOST_DEVICE
Params(
Arguments const &args,
cutlass::gemm::GemmCoord const & grid_tiled_shape,
int gemm_k_size,
void *workspace = nullptr
):
problem_size(args.problem_size),
grid_tiled_shape(grid_tiled_shape),
swizzle_log_tile(ThreadblockSwizzle().get_log_tile(grid_tiled_shape)),
params_A_mma1(args.lda),
params_B_mma1(args.ldb),
params_A_mma2(args.lda),
params_B_mma2(args.ldb),
params_C(args.ldc),
params_D(args.ldd),
output_op(args.epilogue),
mode(args.mode),
batch_count(args.batch_count),
gemm_k_size(gemm_k_size),
ptr_A(const_cast<void *>(args.ptr_A)),
ptr_B(const_cast<void *>(args.ptr_B)),
ptr_C(const_cast<void *>(args.ptr_C)),
ptr_D(const_cast<void *>(args.ptr_D)),
batch_stride_A(args.batch_stride_A),
batch_stride_B(args.batch_stride_B),
batch_stride_C(args.batch_stride_C),
batch_stride_D(args.batch_stride_D),
semaphore(static_cast<int *>(workspace)) {
}
CUTLASS_HOST_DEVICE
void update(
Arguments const &args,
void *workspace = nullptr) {
ptr_A = const_cast<void *>(args.ptr_A);
ptr_B = const_cast<void *>(args.ptr_B);
ptr_C = const_cast<void *>(args.ptr_C);
ptr_D = args.ptr_D;
output_op = args.epilogue;
semaphore = static_cast<int *>(workspace);
}
};
/// Shared memory storage structure
union SharedStorage {
typename Mma1::SharedStorage mma1_main_loop;
typename Mma2::SharedStorage mma2_main_loop;
typename Epilogue::SharedStorage epilogue;
};
public:
//
// Methods
//
CUTLASS_DEVICE
SymmUniversal() { }
/// Determines whether kernel satisfies alignment
static Status can_implement(
cutlass::gemm::GemmCoord const & problem_size) {
static int const kAlignmentA = Mma1::IteratorA::AccessType::kElements;
static int const kAlignmentB = Mma1::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
if ((problem_size.m() % kAlignmentA) || (problem_size.k() % kAlignmentA) ||
(problem_size.n() % kAlignmentB) || (problem_size.k() % kAlignmentB) ||
(problem_size.m() % kAlignmentC) || (problem_size.n() % kAlignmentC)) {
return Status::kErrorMisalignedOperand;
}
return Status::kSuccess;
}
static Status can_implement(Arguments const &args) {
return can_implement(args.problem_size);
}
/// Executes two GEMM
CUTLASS_DEVICE
void operator()(Params const &params, SharedStorage &shared_storage) {
// Compute threadblock location
ThreadblockSwizzle threadblock_swizzle;
cutlass::gemm::GemmCoord threadblock_tile_offset =
threadblock_swizzle.get_tile_offset(params.swizzle_log_tile);
// Early exit if CTA is out of range
if (params.grid_tiled_shape.m() <= threadblock_tile_offset.m() ||
params.grid_tiled_shape.n() <= threadblock_tile_offset.n()) {
return;
}
int offset_k = 0;
int problem_size_k = params.problem_size.k();
ElementA *ptr_A = static_cast<ElementA *>(params.ptr_A);
ElementB *ptr_B = static_cast<ElementB *>(params.ptr_B);
//
// Fetch pointers based on mode.
//
if (params.mode == GemmUniversalMode::kGemm ||
params.mode == GemmUniversalMode::kGemmSplitKParallel) {
if (threadblock_tile_offset.k() + 1 < params.grid_tiled_shape.k()) {
problem_size_k = (threadblock_tile_offset.k() + 1) * params.gemm_k_size;
}
offset_k = threadblock_tile_offset.k() * params.gemm_k_size;
}
__syncthreads();
// Compute initial location in logical coordinates
cutlass::MatrixCoord tb_offset_MxK_mma1{
threadblock_tile_offset.m() * Mma1::Shape::kM,
offset_k,
};
cutlass::MatrixCoord tb_offset_KxN_mma1{
offset_k,
threadblock_tile_offset.n() * Mma1::Shape::kN
};
cutlass::MatrixCoord tb_offset_MxK_mma2{
threadblock_tile_offset.m() * Mma1::Shape::kM,
offset_k,
};
cutlass::MatrixCoord tb_offset_KxN_mma2{
offset_k,
threadblock_tile_offset.n() * Mma1::Shape::kN
};
// Compute position within threadblock
int thread_idx = threadIdx.x;
// Broadcast the warp_id computed by lane 0 to ensure dependent code
// is compiled as warp-uniform.
int warp_idx = __shfl_sync(0xffffffff, threadIdx.x / 32, 0);
int lane_idx = threadIdx.x % 32;
//
// Main loop
//
// Construct thread-scoped matrix multiply for Mma1
Mma1 mma1(shared_storage.mma1_main_loop, thread_idx, warp_idx, lane_idx);
// Construct thread-scoped matrix multiply for Mma2
Mma2 mma2(shared_storage.mma2_main_loop, thread_idx, warp_idx, lane_idx);
typename Mma1::FragmentC accumulators;
accumulators.clear();
// Compute threadblock-scoped matrix multiply-add
int gemm_k_iterations = (problem_size_k - offset_k + Mma1::Shape::kK - 1) / Mma1::Shape::kK;
int gemm_k_iterations_mma1 = gemm_k_iterations;
int gemm_k_iterations_mma2 = gemm_k_iterations;
/******************************************************************************************************
* SYMM (Side Mode, Fill Mode) is made of two TRMMs:
First TRMM (Mma1: Side Mode, Fill Mode, Non-Unit Diag): (A * B) or (B * A)
Second TRMM (Mma2: Side Mode, Inverted Fill Mode, Unit Diag): (AT * B) or (B * AT)
* For the first TRMM (Mma1) of SYMM, the following method is used to calculate the k-iterations:
First two cases: (Left Side, Lower Fill) and (Right Side, Upper Fill) are transpose of each other
- (Left Side, Lower Fill): calculate bottom of the CTA tile, then find the k-iterations
needed to process all elements till that coordinate.
- (Right Side, Upper Fill): calculate right end of the CTA tile, then find the k-iterations
needed to process all elements till that coordinate.
Last two cases: (Left Side, Upper Fill) and (Right Side, Lower Fill) are transpose of each other
- (Left Side, Upper Fill): calculate the top of the CTA tile, then find k-iterations
that can be skipped for all elements of this tile.
- (Right Side, Lower Fill): calculate the left start of the CTA tile, then find k-iterations
that can be skipped for all elements of this tile.
* For the second TRMM (Mma2) of SYMM, the k-iterations and threadblock offsets are calculated
the same way as the first TRMM (Mma1) of same side mode but with inverted fill mode.
For example, if the first TRMM is left sided with lower fill, the second TRMM would be
left sided with upper fill.
********************************************************************************************************/
if (kSideModeA == SideMode::kLeft && kFillModeA == FillMode::kLower) {
int k_iterations_till_diagonal_mma1 = ((threadblock_tile_offset.m() + 1) * Mma1::Shape::kM + Mma1::Shape::kK - 1) / Mma1::Shape::kK;
if (k_iterations_till_diagonal_mma1 < gemm_k_iterations) {
gemm_k_iterations_mma1 = k_iterations_till_diagonal_mma1;
}
int k_iterations_till_diagonal_mma2 = ((threadblock_tile_offset.m()) * Mma1::Shape::kM) / Mma1::Shape::kK;
if (k_iterations_till_diagonal_mma2 != 0) {
tb_offset_MxK_mma2 += cutlass::MatrixCoord({0, k_iterations_till_diagonal_mma2 * Mma1::Shape::kK});
tb_offset_KxN_mma2 += cutlass::MatrixCoord({k_iterations_till_diagonal_mma2 * Mma1::Shape::kK, 0});
gemm_k_iterations_mma2 -= k_iterations_till_diagonal_mma2;
}
} else if (kSideModeA == SideMode::kRight && kFillModeA == FillMode::kUpper) {
int k_iterations_till_diagonal_mma1 = ((threadblock_tile_offset.n() + 1) * Mma1::Shape::kN + Mma1::Shape::kK - 1) / Mma1::Shape::kK;
if (k_iterations_till_diagonal_mma1 < gemm_k_iterations) {
gemm_k_iterations_mma1 = k_iterations_till_diagonal_mma1;
}
int k_iterations_till_diagonal_mma2 = ((threadblock_tile_offset.n()) * Mma1::Shape::kN) / Mma1::Shape::kK;
if (k_iterations_till_diagonal_mma2 != 0) {
tb_offset_MxK_mma2 += cutlass::MatrixCoord({0, k_iterations_till_diagonal_mma2 * Mma1::Shape::kK});
tb_offset_KxN_mma2 += cutlass::MatrixCoord({k_iterations_till_diagonal_mma2 * Mma1::Shape::kK, 0});
gemm_k_iterations_mma2 -= k_iterations_till_diagonal_mma2;
}
} else if (kSideModeA == SideMode::kLeft && kFillModeA == FillMode::kUpper) {
int k_iterations_till_diagonal_mma1 = ((threadblock_tile_offset.m()) * Mma1::Shape::kM) / Mma1::Shape::kK;
if (k_iterations_till_diagonal_mma1 != 0) {
tb_offset_MxK_mma1 += cutlass::MatrixCoord({0, k_iterations_till_diagonal_mma1 * Mma1::Shape::kK});
tb_offset_KxN_mma1 += cutlass::MatrixCoord({k_iterations_till_diagonal_mma1 * Mma1::Shape::kK, 0});
gemm_k_iterations_mma1 -= k_iterations_till_diagonal_mma1;
}
int k_iterations_till_diagonal_mma2 = ((threadblock_tile_offset.m() + 1) * Mma1::Shape::kM + Mma1::Shape::kK - 1) / Mma1::Shape::kK;
if (k_iterations_till_diagonal_mma2 < gemm_k_iterations) {
gemm_k_iterations_mma2 = k_iterations_till_diagonal_mma2;
}
} else if (kSideModeA == SideMode::kRight && kFillModeA == FillMode::kLower) {
int k_iterations_till_diagonal_mma1 = ((threadblock_tile_offset.n()) * Mma1::Shape::kN) / Mma1::Shape::kK;
if (k_iterations_till_diagonal_mma1 != 0) {
tb_offset_MxK_mma1 += cutlass::MatrixCoord({0, k_iterations_till_diagonal_mma1 * Mma1::Shape::kK});
tb_offset_KxN_mma1 += cutlass::MatrixCoord({k_iterations_till_diagonal_mma1 * Mma1::Shape::kK, 0});
gemm_k_iterations_mma1 -= k_iterations_till_diagonal_mma1;
}
int k_iterations_till_diagonal_mma2 = ((threadblock_tile_offset.n() + 1) * Mma1::Shape::kN + Mma1::Shape::kK - 1) / Mma1::Shape::kK;
if (k_iterations_till_diagonal_mma2 < gemm_k_iterations) {
gemm_k_iterations_mma2 = k_iterations_till_diagonal_mma2;
}
}
// Construct iterators to A and B operands for Mma1
typename Mma1::IteratorA iterator_A_mma1(
params.params_A_mma1,
ptr_A,
{params.problem_size.m(), problem_size_k},
thread_idx,
tb_offset_MxK_mma1);
typename Mma1::IteratorB iterator_B_mma1(
params.params_B_mma1,
ptr_B,
{problem_size_k, params.problem_size.n()},
thread_idx,
tb_offset_KxN_mma1);
// Construct iterators to A and B operands for Mma2
typename Mma2::IteratorA iterator_A_mma2(
params.params_A_mma2,
ptr_A,
{params.problem_size.m(), problem_size_k},
thread_idx,
tb_offset_MxK_mma2);
typename Mma2::IteratorB iterator_B_mma2(
params.params_B_mma2,
ptr_B,
{problem_size_k, params.problem_size.n()},
thread_idx,
tb_offset_KxN_mma2);
// Compute threadblock-scoped matrix multiply-add (A x B) or (B x A)
mma1(
gemm_k_iterations_mma1,
accumulators,
iterator_A_mma1,
iterator_B_mma1,
accumulators);
// Compute threadblock-scoped matrix multiply-add (AT x B) or (B x AT)
mma2(
gemm_k_iterations_mma2,
accumulators,
iterator_A_mma2,
iterator_B_mma2,
accumulators);
//
// Epilogue
//
EpilogueOutputOp output_op(params.output_op);
//
// Masked tile iterators constructed from members
//
threadblock_tile_offset =
threadblock_swizzle.get_tile_offset(params.swizzle_log_tile);
//assume identity swizzle
MatrixCoord threadblock_offset(
threadblock_tile_offset.m() * Mma1::Shape::kM,
threadblock_tile_offset.n() * Mma1::Shape::kN
);
int block_idx = threadblock_tile_offset.m() + threadblock_tile_offset.n() * params.grid_tiled_shape.m();
ElementC *ptr_C = static_cast<ElementC *>(params.ptr_C);
ElementC *ptr_D = static_cast<ElementC *>(params.ptr_D);
//
// Fetch pointers based on mode.
//
// Construct the semaphore.
Semaphore semaphore(params.semaphore + block_idx, thread_idx);
if (params.mode == GemmUniversalMode::kGemm) {
// If performing a reduction via split-K, fetch the initial synchronization
if (params.grid_tiled_shape.k() > 1) {
// Fetch the synchronization lock initially but do not block.
semaphore.fetch();
// Indicate which position in a serial reduction the output operator is currently updating
output_op.set_k_partition(threadblock_tile_offset.k(), params.grid_tiled_shape.k());
}
}
else if (params.mode == GemmUniversalMode::kGemmSplitKParallel) {
ptr_D += threadblock_tile_offset.k() * params.batch_stride_D;
}
else if (params.mode == GemmUniversalMode::kBatched) {
ptr_C += threadblock_tile_offset.k() * params.batch_stride_C;
ptr_D += threadblock_tile_offset.k() * params.batch_stride_D;
}
else if (params.mode == GemmUniversalMode::kArray) {
ptr_C = static_cast<ElementC * const *>(params.ptr_C)[threadblock_tile_offset.k()];
ptr_D = static_cast<ElementC * const *>(params.ptr_D)[threadblock_tile_offset.k()];
}
// Tile iterator loading from source tensor.
typename Epilogue::OutputTileIterator iterator_C(
params.params_C,
ptr_C,
params.problem_size.mn(),
thread_idx,
threadblock_offset
);
// Tile iterator writing to destination tensor.
typename Epilogue::OutputTileIterator iterator_D(
params.params_D,
ptr_D,
params.problem_size.mn(),
thread_idx,
threadblock_offset
);
Epilogue epilogue(
shared_storage.epilogue,
thread_idx,
warp_idx,
lane_idx);
// Wait on the semaphore - this latency may have been covered by iterator construction
if (params.mode == GemmUniversalMode::kGemm && params.grid_tiled_shape.k() > 1) {
// For subsequent threadblocks, the source matrix is held in the 'D' tensor.
if (threadblock_tile_offset.k()) {
iterator_C = iterator_D;
}
semaphore.wait(threadblock_tile_offset.k());
__threadfence();
}
// Execute the epilogue operator to update the destination tensor.
epilogue(
output_op,
iterator_D,
accumulators,
iterator_C);
//
// Release the semaphore
//
if (params.mode == GemmUniversalMode::kGemm && params.grid_tiled_shape.k() > 1) {
int lock = 0;
if (params.grid_tiled_shape.k() == threadblock_tile_offset.k() + 1) {
// The final threadblock resets the semaphore for subsequent grids.
lock = 0;
}
else {
// Otherwise, the semaphore is incremented
lock = threadblock_tile_offset.k() + 1;
}
semaphore.release(lock);
}
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////
@@ -0,0 +1,599 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* 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 copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT HOLDER OR 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.
*
**************************************************************************************************/
/*! \file
\brief
*/
#pragma once
#include "cutlass/blas3.h"
#include "cutlass/fast_math.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/matrix_coord.h"
#include "cutlass/complex.h"
#include "cutlass/semaphore.h"
#include "cutlass/core_io.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <
typename Mma_, ///! Threadblock-scoped matrix multiply-accumulate
typename Epilogue_, ///! Epilogue
typename ThreadblockSwizzle_, ///! Threadblock swizzling function
SideMode SideMode_, ///! Side Mode for the kernel (kLeft or kRight)
FillMode FillMode_, ///! Fill Mode for triangular matrix (kLower or kUpper)
DiagType DiagType_ ///! Diag Type for triangular matrix (kNonUnit or kUnit)
>
struct TrmmUniversal {
public:
using Mma = Mma_;
using Epilogue = Epilogue_;
using EpilogueOutputOp = typename Epilogue::OutputOp;
using ThreadblockSwizzle = ThreadblockSwizzle_;
using ElementA = typename Mma::IteratorA::Element;
using LayoutA = typename Mma::IteratorA::Layout;
using ElementB = typename Mma::IteratorB::Element;
using LayoutB = typename Mma::IteratorB::Layout;
using ElementC = typename Epilogue::OutputTileIterator::Element;
using LayoutC = typename Epilogue::OutputTileIterator::Layout;
static SideMode const kSideMode = SideMode_;
static FillMode const kFillMode = FillMode_;
static DiagType const kDiagType = DiagType_;
static ComplexTransform const kTransformA = Mma::kTransformA;
static ComplexTransform const kTransformB = Mma::kTransformB;
using Operator = typename Mma::Operator;
using OperatorClass = typename Mma::Operator::OperatorClass;
using ThreadblockShape = typename Mma::Shape;
using WarpShape = typename Mma::Operator::Shape;
using InstructionShape = typename Mma::Policy::Operator::InstructionShape;
using ArchTag = typename Mma::ArchTag;
static int const kStages = Mma::kStages;
static int const kAlignmentA = Mma::IteratorA::AccessType::kElements;
static int const kAlignmentB = Mma::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
/// Warp count (concept: GemmShape)
using WarpCount = typename Mma::WarpCount;
static int const kThreadCount = 32 * WarpCount::kCount;
/// Split-K preserves splits that are 128b aligned
static int const kSplitKAlignment = const_max(128 / sizeof_bits<ElementA>::value, 128 / sizeof_bits<ElementB>::value);
//
// Structures
//
/// Argument structure
struct Arguments {
//
// Data members
//
GemmUniversalMode mode;
GemmCoord problem_size;
int batch_count;
typename EpilogueOutputOp::Params epilogue;
void const * ptr_A;
void const * ptr_B;
void * ptr_D;
int64_t batch_stride_A;
int64_t batch_stride_B;
int64_t batch_stride_D;
typename LayoutA::Stride::Index lda;
typename LayoutB::Stride::Index ldb;
typename LayoutC::Stride::Index ldd;
//
// Methods
//
Arguments():
mode(GemmUniversalMode::kGemm),
batch_count(1),
ptr_A(nullptr), ptr_B(nullptr), ptr_D(nullptr) { }
/// constructs an arguments structure
Arguments(
GemmUniversalMode mode,
GemmCoord problem_size,
int batch_count,
typename EpilogueOutputOp::Params epilogue,
void const * ptr_A,
void const * ptr_B,
void * ptr_D,
int64_t batch_stride_A,
int64_t batch_stride_B,
int64_t batch_stride_D,
typename LayoutA::Stride::Index lda,
typename LayoutB::Stride::Index ldb,
typename LayoutC::Stride::Index ldd
):
mode(mode),
problem_size(problem_size),
batch_count(batch_count),
epilogue(epilogue),
ptr_A(ptr_A), ptr_B(ptr_B), ptr_D(ptr_D),
batch_stride_A(batch_stride_A), batch_stride_B(batch_stride_B), batch_stride_D(batch_stride_D),
lda(lda), ldb(ldb), ldd(ldd) {
}
/// Returns arguments for the transposed problem sizes
Arguments transposed_problem_size() const {
Arguments args(*this);
std::swap(args.problem_size.m(), args.problem_size.n());
return args;
}
/// Returns arguments for the transposed matrices
Arguments swapped_matrices() const {
Arguments args(*this);
std::swap(args.ptr_A, args.ptr_B);
std::swap(args.lda, args.ldb);
std::swap(args.batch_stride_A, args.batch_stride_B);
return args;
}
};
//
// Structure for precomputing values in host memory and passing to kernels
//
/// Parameters structure
struct Params {
cutlass::gemm::GemmCoord problem_size;
cutlass::gemm::GemmCoord grid_tiled_shape;
int swizzle_log_tile;
typename Mma::IteratorA::Params params_A;
typename Mma::IteratorB::Params params_B;
typename Epilogue::OutputTileIterator::Params params_D;
typename EpilogueOutputOp::Params output_op;
GemmUniversalMode mode;
int batch_count;
int gemm_k_size;
void * ptr_A;
void * ptr_B;
void * ptr_D;
int64_t batch_stride_A;
int64_t batch_stride_B;
int64_t batch_stride_D;
int *semaphore;
//
// Methods
//
CUTLASS_HOST_DEVICE
Params():
swizzle_log_tile(0),
params_A(0),
params_B(0),
params_D(0),
batch_count(0),
gemm_k_size(0),
mode(cutlass::gemm::GemmUniversalMode::kGemm),
ptr_A(nullptr),
ptr_B(nullptr),
ptr_D(nullptr),
batch_stride_A(0),
batch_stride_B(0),
batch_stride_D(0),
semaphore(nullptr) { }
CUTLASS_HOST_DEVICE
Params(
Arguments const &args,
cutlass::gemm::GemmCoord const & grid_tiled_shape,
int gemm_k_size,
void *workspace = nullptr
):
problem_size(args.problem_size),
grid_tiled_shape(grid_tiled_shape),
swizzle_log_tile(ThreadblockSwizzle().get_log_tile(grid_tiled_shape)),
params_A(args.lda),
params_B(args.ldb),
params_D(args.ldd),
output_op(args.epilogue),
mode(args.mode),
batch_count(args.batch_count),
gemm_k_size(gemm_k_size),
ptr_A(const_cast<void *>(args.ptr_A)),
ptr_B(const_cast<void *>(args.ptr_B)),
ptr_D(args.ptr_D),
batch_stride_A(args.batch_stride_A),
batch_stride_B(args.batch_stride_B),
batch_stride_D(args.batch_stride_D),
semaphore(static_cast<int *>(workspace)) {
}
CUTLASS_HOST_DEVICE
void update(
Arguments const &args,
void *workspace = nullptr) {
ptr_A = const_cast<void *>(args.ptr_A);
ptr_B = const_cast<void *>(args.ptr_B);
ptr_D = args.ptr_D;
batch_stride_A = args.batch_stride_A;
batch_stride_B = args.batch_stride_B;
batch_stride_D = args.batch_stride_D;
output_op = args.epilogue;
semaphore = static_cast<int *>(workspace);
}
};
/// Shared memory storage structure
union SharedStorage {
typename Mma::SharedStorage main_loop;
typename Epilogue::SharedStorage epilogue;
};
public:
//
// Methods
//
CUTLASS_DEVICE
TrmmUniversal() { }
/// Determines whether kernel satisfies alignment
static Status can_implement(
cutlass::gemm::GemmCoord const & problem_size) {
static int const kAlignmentA = Mma::IteratorA::AccessType::kElements;
static int const kAlignmentB = Mma::IteratorB::AccessType::kElements;
static int const kAlignmentC = Epilogue::OutputTileIterator::kElementsPerAccess;
if ((problem_size.m() % kAlignmentA) || (problem_size.k() % kAlignmentA) ||
(problem_size.n() % kAlignmentB) || (problem_size.k() % kAlignmentB) ||
(problem_size.m() % kAlignmentC) || (problem_size.n() % kAlignmentC)) {
return Status::kErrorMisalignedOperand;
}
return Status::kSuccess;
}
static Status can_implement(Arguments const &args) {
return can_implement(args.problem_size);
}
/// Executes one GEMM
CUTLASS_DEVICE
void operator()(Params const &params, SharedStorage &shared_storage) {
// Compute threadblock location
ThreadblockSwizzle threadblock_swizzle;
cutlass::gemm::GemmCoord threadblock_tile_offset = threadblock_swizzle.get_tile_offset(params.swizzle_log_tile);
// Early exit if CTA is out of range
if (params.grid_tiled_shape.m() <= threadblock_tile_offset.m() ||
params.grid_tiled_shape.n() <= threadblock_tile_offset.n()) {
return;
}
int offset_k = 0;
int problem_size_k = params.problem_size.k();
ElementA *ptr_A = static_cast<ElementA *>(params.ptr_A);
ElementB *ptr_B = static_cast<ElementB *>(params.ptr_B);
//
// Fetch pointers based on mode.
//
if (params.mode == GemmUniversalMode::kGemm ||
params.mode == GemmUniversalMode::kGemmSplitKParallel) {
if (threadblock_tile_offset.k() + 1 < params.grid_tiled_shape.k()) {
problem_size_k = (threadblock_tile_offset.k() + 1) * params.gemm_k_size;
}
offset_k = threadblock_tile_offset.k() * params.gemm_k_size;
}
else if (params.mode == GemmUniversalMode::kBatched) {
ptr_A += threadblock_tile_offset.k() * params.batch_stride_A;
ptr_B += threadblock_tile_offset.k() * params.batch_stride_B;
}
else if (params.mode == GemmUniversalMode::kArray) {
ptr_A = static_cast<ElementA * const *>(params.ptr_A)[threadblock_tile_offset.k()];
ptr_B = static_cast<ElementB * const *>(params.ptr_B)[threadblock_tile_offset.k()];
}
__syncthreads();
// Compute initial location in logical coordinates
cutlass::MatrixCoord tb_offset_A{
threadblock_tile_offset.m() * Mma::Shape::kM,
offset_k,
};
cutlass::MatrixCoord tb_offset_B{
offset_k,
threadblock_tile_offset.n() * Mma::Shape::kN
};
// Compute position within threadblock
int thread_idx = threadIdx.x;
// Broadcast the warp_id computed by lane 0 to ensure dependent code
// is compiled as warp-uniform.
int warp_idx = __shfl_sync(0xffffffff, threadIdx.x / 32, 0);
int lane_idx = threadIdx.x % 32;
//
// Main loop
//
// Construct thread-scoped matrix multiply
Mma mma(shared_storage.main_loop, thread_idx, warp_idx, lane_idx);
typename Mma::FragmentC accumulators;
accumulators.clear();
// Compute threadblock-scoped matrix multiply-add
int gemm_k_iterations = (problem_size_k - offset_k + Mma::Shape::kK - 1) / Mma::Shape::kK;
/******************************************************************************************************
First two cases: (Left Side, Lower Fill) and (Right Side, Upper Fill) are transpose of each other
- (Left Side, Lower Fill): calculate bottom of the CTA tile, then find the k-iterations
needed to process all elements till that coordinate.
- (Right Side, Upper Fill): calculate right end of the CTA tile, then find the k-iterations
needed to process all elements till that coordinate.
Last two cases: (Left Side, Upper Fill) and (Right Side, Lower Fill) are transpose of each other
- (Left Side, Upper Fill): calculate the top of the CTA tile, then find k-iterations
that can be skipped for all elements of this tile.
- (Right Side, Lower Fill): calculate the left start of the CTA tile, then find k-iterations
that can be skipped for all elements of this tile.
********************************************************************************************************/
if (kSideMode == SideMode::kLeft && kFillMode == FillMode::kLower) {
int k_iterations_till_diagonal = ((threadblock_tile_offset.m() + 1) * Mma::Shape::kM + Mma::Shape::kK - 1) / Mma::Shape::kK;
if (k_iterations_till_diagonal < gemm_k_iterations) {
gemm_k_iterations = k_iterations_till_diagonal;
}
} else if (kSideMode == SideMode::kRight && kFillMode == FillMode::kUpper) {
int k_iterations_till_diagonal = ((threadblock_tile_offset.n() + 1) * Mma::Shape::kN + Mma::Shape::kK - 1) / Mma::Shape::kK;
if (k_iterations_till_diagonal < gemm_k_iterations) {
gemm_k_iterations = k_iterations_till_diagonal;
}
} else if (kSideMode == SideMode::kLeft && kFillMode == FillMode::kUpper) {
int k_iterations_till_diagonal = ((threadblock_tile_offset.m()) * Mma::Shape::kM) / Mma::Shape::kK;
if (k_iterations_till_diagonal != 0) {
tb_offset_A += cutlass::MatrixCoord({0, k_iterations_till_diagonal * Mma::Shape::kK});
tb_offset_B += cutlass::MatrixCoord({k_iterations_till_diagonal * Mma::Shape::kK, 0});
gemm_k_iterations -= k_iterations_till_diagonal;
}
} else if (kSideMode == SideMode::kRight && kFillMode == FillMode::kLower) {
int k_iterations_till_diagonal = ((threadblock_tile_offset.n()) * Mma::Shape::kN) / Mma::Shape::kK;
if (k_iterations_till_diagonal != 0) {
tb_offset_A += cutlass::MatrixCoord({0, k_iterations_till_diagonal * Mma::Shape::kK});
tb_offset_B += cutlass::MatrixCoord({k_iterations_till_diagonal * Mma::Shape::kK, 0});
gemm_k_iterations -= k_iterations_till_diagonal;
}
}
// Construct iterators to A and B operands
typename Mma::IteratorA iterator_A(
params.params_A,
ptr_A,
{params.problem_size.m(), problem_size_k},
thread_idx,
tb_offset_A);
typename Mma::IteratorB iterator_B(
params.params_B,
ptr_B,
{problem_size_k, params.problem_size.n()},
thread_idx,
tb_offset_B);
// Compute threadblock-scoped matrix multiply-add
mma(
gemm_k_iterations,
accumulators,
iterator_A,
iterator_B,
accumulators);
//
// Epilogue
//
EpilogueOutputOp output_op(params.output_op);
//
// Masked tile iterators constructed from members
//
threadblock_tile_offset = threadblock_swizzle.get_tile_offset(params.swizzle_log_tile);
//assume identity swizzle
MatrixCoord threadblock_offset(
threadblock_tile_offset.m() * Mma::Shape::kM,
threadblock_tile_offset.n() * Mma::Shape::kN
);
int block_idx = threadblock_tile_offset.m() + threadblock_tile_offset.n() * params.grid_tiled_shape.m();
ElementC *ptr_D = static_cast<ElementC *>(params.ptr_D);
//
// Fetch pointers based on mode.
//
// Construct the semaphore.
Semaphore semaphore(params.semaphore + block_idx, thread_idx);
if (params.mode == GemmUniversalMode::kGemm) {
// If performing a reduction via split-K, fetch the initial synchronization
if (params.grid_tiled_shape.k() > 1) {
// Fetch the synchronization lock initially but do not block.
semaphore.fetch();
// Indicate which position in a serial reduction the output operator is currently updating
output_op.set_k_partition(threadblock_tile_offset.k(), params.grid_tiled_shape.k());
}
}
else if (params.mode == GemmUniversalMode::kGemmSplitKParallel) {
ptr_D += threadblock_tile_offset.k() * params.batch_stride_D;
}
else if (params.mode == GemmUniversalMode::kBatched) {
ptr_D += threadblock_tile_offset.k() * params.batch_stride_D;
}
else if (params.mode == GemmUniversalMode::kArray) {
ptr_D = static_cast<ElementC * const *>(params.ptr_D)[threadblock_tile_offset.k()];
}
// Tile iterator loading from source tensor (although irrelevant to this kernel as beta is zero).
typename Epilogue::OutputTileIterator iterator_C(
params.params_D,
ptr_D,
params.problem_size.mn(),
thread_idx,
threadblock_offset
);
// Tile iterator writing to destination tensor.
typename Epilogue::OutputTileIterator iterator_D(
params.params_D,
ptr_D,
params.problem_size.mn(),
thread_idx,
threadblock_offset
);
Epilogue epilogue(
shared_storage.epilogue,
thread_idx,
warp_idx,
lane_idx);
// Wait on the semaphore - this latency may have been covered by iterator construction
if (params.mode == GemmUniversalMode::kGemm && params.grid_tiled_shape.k() > 1) {
// For subsequent threadblocks, the source matrix is held in the 'D' tensor.
if (threadblock_tile_offset.k()) {
iterator_C = iterator_D;
}
semaphore.wait(threadblock_tile_offset.k());
__threadfence();
}
// Execute the epilogue operator to update the destination tensor.
epilogue(
output_op,
iterator_D,
accumulators,
iterator_C);
//
// Release the semaphore
//
if (params.mode == GemmUniversalMode::kGemm && params.grid_tiled_shape.k() > 1) {
int lock = 0;
if (params.grid_tiled_shape.k() == threadblock_tile_offset.k() + 1) {
// The final threadblock resets the semaphore for subsequent grids.
lock = 0;
}
else {
// Otherwise, the semaphore is incremented
lock = threadblock_tile_offset.k() + 1;
}
semaphore.release(lock);
}
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////