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Unverified Commit b8d11559 authored by amd-khushbu's avatar amd-khushbu Committed by GitHub
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Merge branch 'develop' into ck_profiler_m_instances

parents 7f3fe4e7 3b230208
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Showing with 1009 additions and 151 deletions
include/ck_tile/ops/gemm/kernel/gemm_kernel.hpp
View file @ b8d11559
......@@ -8,6 +8,7 @@
#include "ck_tile/core.hpp"
#include "ck_tile/ops/common.hpp"
#include "ck_tile/host/concat.hpp"
namespace ck_tile {
......@@ -75,6 +76,13 @@ struct GemmKernel
static constexpr auto I1 = number<1>();
static constexpr auto I2 = number<2>();
[[nodiscard]] CK_TILE_HOST static const std::string GetName()
{
// clang-format off
return concat('_', "gemm", gemm_prec_str<ADataType, BDataType>, GemmPipeline::GetName());
// clang-format on
}
CK_TILE_HOST static constexpr auto GridSize(index_t M, index_t N, index_t KBatch)
{
return dim3(TilePartitioner::GridSize(M, N), 1, KBatch);
......@@ -455,7 +463,9 @@ struct GemmKernel
* @param a_ptr input A pointer
* @param b_ptr input B pointer
* @param c_ptr output C pointer
* @param smem_ptr_0 The start memory pointer of the shared memory block.
* @param kargs GEMM kernel arguments
* @param splitk_batch_offset splitk_batch_offset Utility structure used to calculate k batch.
* @param block_idx_m The GEMM's output M dimension tile index processed by this workgroup.
* @param block_idx_n The GEMM's output N dimension tile index processed by this workgroup.
*
......@@ -465,7 +475,7 @@ struct GemmKernel
CK_TILE_DEVICE static void RunGemm(const ADataType* a_ptr,
const BDataType* b_ptr,
CDataType* c_ptr,
void* smem_ptr,
void* smem_ptr_0,
const GemmKernelArgs& kargs,
const SplitKBatchOffset& splitk_batch_offset,
const index_t block_idx_m,
......@@ -483,15 +493,67 @@ struct GemmKernel
// Run GEMM cooperatively by whole workgroup.
const auto& a_block_window = gemm_tile_windows.at(I0);
const auto& b_block_window = gemm_tile_windows.at(I1);
const auto& c_block_tile =
GemmPipeline{}.template operator()(a_block_window, b_block_window, num_loop, smem_ptr);
const auto& c_block_tile = GemmPipeline{}.template operator()(
a_block_window, b_block_window, num_loop, smem_ptr_0);
// Run Epilogue Pipeline
auto& c_block_window = gemm_tile_windows.at(I2);
EpiloguePipeline{}
.template operator()<decltype(c_block_window), decltype(c_block_tile), DstInMemOp>(
c_block_window, c_block_tile, smem_ptr);
c_block_window, c_block_tile, smem_ptr_0);
}
/**
* @brief Runs single GEMM problem cooperatively by whole workgroup.
*
* @note RunGEMM2LDS in with two shared memory buffers using the ping pong buffer mechanism.
*
* @param a_ptr input A pointer
* @param b_ptr input B pointer
* @param c_ptr output C pointer
* @param smem_ptr_0 The starting pointer of 1st shared memory block.
* @param smem_ptr_1 The starting pointer of 2nd shared memory block.
* @param kargs GEMM kernel arguments
* @param splitk_batch_offset Utility structure used to calculate k batch.
* @param block_idx_m The GEMM's output M dimension tile index processed by this workgroup.
* @param block_idx_n The GEMM's output N dimension tile index processed by this workgroup.
*
* @tparam DstInMemOp Destination memory operation (default: set).
*/
template <memory_operation_enum DstInMemOp = memory_operation_enum::set>
CK_TILE_DEVICE static void RunGemm2LDS(const ADataType* a_ptr,
const BDataType* b_ptr,
CDataType* c_ptr,
void* __restrict__ smem_ptr_0,
void* __restrict__ smem_ptr_1,
const GemmKernelArgs& kargs,
const SplitKBatchOffset& splitk_batch_offset,
const index_t block_idx_m,
const index_t block_idx_n)
{
// Create Gemm tensor views, pad views and tile windows
const auto& gemm_tensor_views_tuple =
MakeGemmTensorViews<DstInMemOp>(a_ptr, b_ptr, c_ptr, kargs, splitk_batch_offset);
const auto& gemm_pad_views = MakeGemmPadViews(gemm_tensor_views_tuple);
auto gemm_tile_windows = MakeGemmTileWindows(gemm_pad_views, block_idx_m, block_idx_n);
const index_t num_loop = TilePartitioner::GetLoopNum(splitk_batch_offset.splitted_k);
// Run GEMM cooperatively by whole workgroup.
const auto& a_block_window = gemm_tile_windows.at(I0);
const auto& b_block_window = gemm_tile_windows.at(I1);
const auto& c_block_tile = GemmPipeline{}.template operator()(
a_block_window, b_block_window, num_loop, smem_ptr_0, smem_ptr_1);
// Run Epilogue Pipeline
auto& c_block_window = gemm_tile_windows.at(I2);
EpiloguePipeline{}
.template operator()<decltype(c_block_window), decltype(c_block_tile), DstInMemOp>(
c_block_window, c_block_tile, smem_ptr_0);
}
CK_TILE_DEVICE void operator()(GemmKernelArgs kargs) const
......@@ -509,11 +571,27 @@ struct GemmKernel
CDataType* c_ptr = static_cast<CDataType*>(kargs.c_ptr);
// allocate LDS
__shared__ char smem_ptr[GetSmemSize()];
__shared__ char smem_ptr_0[GetSmemSize()];
__shared__ char smem_ptr_1[GetSmemSize()];
if(kargs.k_batch == 1)
{
RunGemm(a_ptr, b_ptr, c_ptr, smem_ptr, kargs, splitk_batch_offset, i_m, i_n);
if constexpr(GemmPipeline::DoubleSmemBuffer == true)
{
RunGemm2LDS(a_ptr,
b_ptr,
c_ptr,
smem_ptr_0,
smem_ptr_1,
kargs,
splitk_batch_offset,
i_m,
i_n);
}
else
{
RunGemm(a_ptr, b_ptr, c_ptr, smem_ptr_0, kargs, splitk_batch_offset, i_m, i_n);
}
}
else
{
......@@ -522,8 +600,23 @@ struct GemmKernel
if constexpr(!(EpiloguePipeline::template GetVectorSizeC<CDataType>() % 2 != 0 &&
is_any_of<CDataType, fp16_t, bf16_t>::value))
{
RunGemm<memory_operation_enum::atomic_add>(
a_ptr, b_ptr, c_ptr, smem_ptr, kargs, splitk_batch_offset, i_m, i_n);
if constexpr(GemmPipeline::DoubleSmemBuffer == true)
{
RunGemm2LDS<memory_operation_enum::atomic_add>(a_ptr,
b_ptr,
c_ptr,
smem_ptr_0,
smem_ptr_1,
kargs,
splitk_batch_offset,
i_m,
i_n);
}
else
{
RunGemm<memory_operation_enum::atomic_add>(
a_ptr, b_ptr, c_ptr, smem_ptr_0, kargs, splitk_batch_offset, i_m, i_n);
}
}
}
}
......
include/ck_tile/ops/gemm/kernel/grouped_gemm_kernel.hpp
View file @ b8d11559
......@@ -64,6 +64,18 @@ struct GroupedGemmKernel : public GemmKernel<TilePartitioner_, GemmPipeline_, Ep
}
};
[[nodiscard]] CK_TILE_HOST static const std::string GetName()
{
// clang-format off
using P_ = GemmPipeline;
return concat('_', "gemm_grouped", gemm_prec_str<ADataType, BDataType>,
concat('x', P_::kMPerBlock, P_::kNPerBlock, P_::kKPerBlock),
concat('x', P_::GetVectorSizeA(), P_::GetVectorSizeB(), P_::GetVectorSizeC()),
concat('x', P_::kPadM, P_::kPadN, P_::kPadK));
// clang-format on
}
__host__ static auto GetWorkSpaceSize(const std::vector<GroupedGemmHostArgs>& gemm_descs)
-> std::size_t
{
......
include/ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_base.hpp
View file @ b8d11559
......@@ -41,20 +41,26 @@ struct GemmPipelineAgBgCrImplBase
store_tile(lds_tile_window, block_tile_tmp);
}
template <typename DstBlockTile, typename SrcTileWindow>
CK_TILE_DEVICE void LocalPrefetch(DstBlockTile& dst_block_tile,
const SrcTileWindow& lds_tile_window) const
{
load_tile(dst_block_tile, lds_tile_window);
}
CK_TILE_DEVICE auto GetABLdsTensorViews(void* p_smem) const
{
// A tile in LDS
ADataType* p_a_lds = static_cast<ADataType*>(p_smem);
ADataType* __restrict__ p_a_lds = static_cast<ADataType*>(p_smem);
constexpr auto a_lds_block_desc = Policy::template MakeALdsBlockDescriptor<Problem>();
auto a_lds_block = make_tensor_view<address_space_enum::lds>(p_a_lds, a_lds_block_desc);
// TODO: LDS alignment should come from Policy!
constexpr index_t a_lds_block_space_size_aligned =
integer_divide_ceil(sizeof(ADataType) * a_lds_block_desc.get_element_space_size(), 16) *
16;
constexpr index_t a_lds_block_space_size_aligned = integer_least_multiple(
sizeof(ADataType) * a_lds_block_desc.get_element_space_size(), 16);
// B tile in LDS
BDataType* p_b_lds = static_cast<BDataType*>(
BDataType* __restrict__ p_b_lds = static_cast<BDataType*>(
static_cast<void*>(static_cast<char*>(p_smem) + a_lds_block_space_size_aligned));
constexpr auto b_lds_block_desc = Policy::template MakeBLdsBlockDescriptor<Problem>();
auto b_lds_block = make_tensor_view<address_space_enum::lds>(p_b_lds, b_lds_block_desc);
......
include/ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_comp_v3.hpp
View file @ b8d11559
......@@ -10,6 +10,7 @@
#include "ck_tile/ops/gemm/pipeline/gemm_universal_pipeline_ag_bg_cr_policy.hpp"
#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_scheduler.hpp"
#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_base.hpp"
#include "ck_tile/host/concat.hpp"
namespace ck_tile {
......@@ -75,12 +76,23 @@ struct GemmPipelineAgBgCrCompV3 : public BaseGemmPipelineAgBgCrCompV3<Problem>
static constexpr bool kPadN = Problem::kPadN;
static constexpr bool kPadK = Problem::kPadK;
static constexpr bool DoubleSmemBuffer = Problem::DoubleSmemBuffer;
static constexpr bool HasHotLoop = Problem::HasHotLoop;
static constexpr auto TailNum = Problem::TailNum;
static constexpr auto Scheduler = Problem::Scheduler;
using Base::PrefetchStages;
[[nodiscard]] CK_TILE_HOST static const std::string GetName()
{
// clang-format off
return concat('_', "pipeline_AgBgCrCompV3", BlockSize,
concat('x', GetVectorSizeA(), GetVectorSizeB(), GetVectorSizeC()),
concat('x', kPadM, kPadN, kPadK));
// clang-format on
}
CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
{
return Policy::template GetSmemSize<Problem>();
......
include/ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_comp_v4_default_policy.hpp 0 → 100644
View file @ b8d11559
// SPDX-License-Identifier: MIT
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck_tile/core.hpp"
#include "ck_tile/ops/gemm/warp/warp_gemm_dispatcher.hpp"
#include "ck_tile/ops/common/tensor_layout.hpp"
#include "ck_tile/ops/gemm/pipeline/gemm_universal_pipeline_ag_bg_cr_policy.hpp"
namespace ck_tile {
// Default policy for GemmPipelineAGmemBGmemCregComputeV4, except the block gemm method, it shares
// the same vector size implementation, SmemSize, Global memory tile distiribution as the
// UniversalGemm Pipeline Policy.
// Default policy class should not be templated, put template on
// member functions instead.
struct GemmPipelineAgBgCrCompV4DefaultPolicy
: public UniversalGemmBasePolicy<GemmPipelineAgBgCrCompV4DefaultPolicy>
{
template <typename Problem>
CK_TILE_HOST_DEVICE static constexpr auto MakeALdsBlockDescriptor()
{
using namespace ck_tile;
constexpr index_t kMPerBlock = Problem::BlockGemmShape::kM;
constexpr index_t kKPerBlock = Problem::BlockGemmShape::kK;
constexpr index_t KPack = GetSmemPackA<Problem>();
constexpr auto a_lds_block_desc_0 = make_naive_tensor_descriptor(
make_tuple(number<kKPerBlock / KPack>{}, number<kMPerBlock>{}, number<KPack>{}),
make_tuple(number<kMPerBlock * KPack>{}, number<KPack>{}, number<1>{}),
number<KPack>{},
number<1>{});
constexpr auto a_lds_block_desc = transform_tensor_descriptor(
a_lds_block_desc_0,
make_tuple(
make_pass_through_transform(number<kMPerBlock>{}),
make_merge_transform(make_tuple(number<kKPerBlock>{} / KPack, number<KPack>{}))),
make_tuple(sequence<1>{}, sequence<0, 2>{}),
make_tuple(sequence<0>{}, sequence<1>{}));
return a_lds_block_desc;
}
template <typename Problem>
CK_TILE_HOST_DEVICE static constexpr auto MakeBLdsBlockDescriptor()
{
constexpr index_t kNPerBlock = Problem::BlockGemmShape::kN;
constexpr index_t kKPerBlock = Problem::BlockGemmShape::kK;
constexpr index_t KPack = GetSmemPackB<Problem>();
constexpr auto b_lds_block_desc_0 = make_naive_tensor_descriptor(
make_tuple(number<kKPerBlock / KPack>{}, number<kNPerBlock>{}, number<KPack>{}),
make_tuple(number<(kNPerBlock)*KPack>{}, number<KPack>{}, number<1>{}),
number<KPack>{},
number<1>{});
constexpr auto b_lds_block_desc = transform_tensor_descriptor(
b_lds_block_desc_0,
make_tuple(
make_pass_through_transform(number<kNPerBlock>{}),
make_merge_transform(make_tuple(number<kKPerBlock / KPack>{}, number<KPack>{}))),
make_tuple(sequence<1>{}, sequence<0, 2>{}),
make_tuple(sequence<0>{}, sequence<1>{}));
return b_lds_block_desc;
}
template <typename Problem>
CK_TILE_HOST_DEVICE static constexpr auto GetBlockGemm()
{
using AccDataType = float;
using BlockWarps = typename Problem::BlockGemmShape::BlockWarps;
using WarpTile = typename Problem::BlockGemmShape::WarpTile;
using WarpGemm = WarpGemmMfmaDispatcher<typename Problem::ADataType,
typename Problem::BDataType,
AccDataType,
WarpTile::at(I0),
WarpTile::at(I1),
WarpTile::at(I2),
Problem::TransposeC>;
using BlockGemmPolicy = BlockGemmARegBRegCRegV1CustomPolicy<typename Problem::ADataType,
typename Problem::BDataType,
typename Problem::CDataType,
BlockWarps,
WarpGemm>;
return BlockGemmARegBRegCRegV1<Problem, BlockGemmPolicy>{};
}
};
} // namespace ck_tile
include/ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_mem.hpp
View file @ b8d11559
......@@ -7,6 +7,7 @@
#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_agmem_bgmem_creg_v1_default_policy.hpp"
#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_scheduler.hpp"
#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_base.hpp"
#include "ck_tile/host/concat.hpp"
namespace ck_tile {
......@@ -123,11 +124,23 @@ struct GemmPipelineAgBgCrMem : public BaseGemmPipelineAgBgCrMem<Problem>
static constexpr bool kPadN = Problem::kPadN;
static constexpr bool kPadK = Problem::kPadK;
static constexpr bool DoubleSmemBuffer = Problem::DoubleSmemBuffer;
// Where is the right place for HasHotLoop and TailNum ???
static constexpr bool HasHotLoop = Problem::HasHotLoop;
static constexpr auto TailNum = Problem::TailNum;
static constexpr auto Scheduler = Problem::Scheduler;
[[nodiscard]] CK_TILE_HOST static const std::string GetName()
{
// clang-format off
return concat('_', "pipeline_AgBgCrMe",
concat('x', MPerBlock, NPerBlock, KPerBlock),
concat('x', GetVectorSizeA(), GetVectorSizeB(), GetVectorSizeC()),
concat('x', kPadM, kPadN, kPadK));
// clang-format on
}
using Base::PrefetchStages;
CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
......
include/ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_scheduler.hpp
View file @ b8d11559
// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <ostream>
#include <sstream>
#include "ck_tile/core.hpp"
......
include/ck_tile/ops/gemm/pipeline/gemm_pipeline_agmem_bgmem_creg_v1.hpp
View file @ b8d11559
......@@ -5,6 +5,7 @@
#include "ck_tile/core.hpp"
#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_agmem_bgmem_creg_v1_default_policy.hpp"
#include "ck_tile/host/concat.hpp"
namespace ck_tile {
......@@ -39,6 +40,21 @@ struct GemmPipelineAGmemBGmemCRegV1
static constexpr bool kPadN = Problem::kPadN;
static constexpr bool kPadK = Problem::kPadK;
static constexpr index_t kLdsAlignmentInBytes = 16;
[[nodiscard]] CK_TILE_HOST static const std::string GetName()
{
// clang-format off
return concat('_', "pipeline_AGmemBGmemCRegV1",
concat('x', kMPerBlock, kNPerBlock, kKPerBlock, BlockSize),
concat('x', GetVectorSizeA(), GetVectorSizeB(), GetVectorSizeC()),
concat('x', kPadM, kPadN, kPadK));
// clang-format on
}
// For the basic gemm pipelien DoubleSmemBuffer set to be false naturally.
static constexpr bool DoubleSmemBuffer = false;
CK_TILE_HOST_DEVICE static constexpr auto TransposeC() { return Problem::TransposeC; }
CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
......@@ -75,8 +91,9 @@ struct GemmPipelineAGmemBGmemCRegV1
auto a_lds_block = make_tensor_view<address_space_enum::lds>(p_a_lds, a_lds_block_desc);
constexpr index_t a_lds_block_space_size_aligned =
integer_divide_ceil(sizeof(ADataType) * a_lds_block_desc.get_element_space_size(), 16) *
16;
integer_divide_ceil(sizeof(ADataType) * a_lds_block_desc.get_element_space_size(),
kLdsAlignmentInBytes) *
kLdsAlignmentInBytes;
// B tile in LDS
BDataType* p_b_lds = static_cast<BDataType*>(
......
include/ck_tile/ops/gemm/pipeline/gemm_pipeline_agmem_bgmem_creg_v1_default_policy.hpp
View file @ b8d11559
......@@ -338,7 +338,7 @@ struct GemmPipelineAGmemBGmemCRegV1DefaultPolicy
{
using ALayout = remove_cvref_t<typename Problem::ALayout>;
using ADataType = remove_cvref_t<typename Problem::ADataType>;
static_assert(std::is_same_v<ALayout, ck_tile::tensor_layout::gemm::RowMajor>);
static_assert(std::is_same_v<ALayout, ck_tile::tensor_layout::gemm::ColumnMajor>);
constexpr index_t kBlockSize = Problem::kBlockSize;
constexpr index_t kMPerBlock = Problem::BlockGemmShape::kM;
constexpr index_t kKPerBlock = Problem::BlockGemmShape::kK;
......
include/ck_tile/ops/gemm/pipeline/gemm_pipeline_agmem_bgmem_creg_v2.hpp
View file @ b8d11559
......@@ -5,6 +5,7 @@
#include "ck_tile/core.hpp"
#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_agmem_bgmem_creg_v2_default_policy.hpp"
#include "ck_tile/host/concat.hpp"
namespace ck_tile {
......@@ -25,6 +26,13 @@ struct GemmPipelineAGmemBGmemCRegV2
static constexpr index_t kNPerBlock = BlockGemmShape::kN;
static constexpr index_t kKPerBlock = BlockGemmShape::kK;
[[nodiscard]] CK_TILE_HOST static const std::string GetName()
{
// clang-format off
return concat('_', "pipeline_AGmemBGmemCRegV2",
concat('x', kMPerBlock, kNPerBlock, kKPerBlock, kBlockSize));
// clang-format on
}
CK_TILE_HOST_DEVICE static constexpr auto TransposeC() { return Problem::TransposeC; }
CK_TILE_HOST_DEVICE static constexpr index_t GetStaticLdsSize()
......
include/ck_tile/ops/gemm/pipeline/gemm_pipeline_problem.hpp
View file @ b8d11559
......@@ -5,6 +5,7 @@
#include "ck_tile/core.hpp"
#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_scheduler.hpp"
#include "ck_tile/host/concat.hpp"
namespace ck_tile {
......@@ -35,9 +36,21 @@ struct GemmPipelineProblemBase
static constexpr bool kPadN = Traits::kPadN;
static constexpr bool kPadK = Traits::kPadK;
static constexpr auto Scheduler = GemmPipelineScheduler::Default;
static constexpr bool DoubleSmemBuffer = Traits::DoubleSmemBuffer;
static constexpr auto Scheduler = GemmPipelineScheduler::Default;
static constexpr index_t VectorLoadSize = Traits::_VectorSize;
[[nodiscard]] CK_TILE_HOST static const std::string GetName()
{
// clang-format off
return concat('_', "gemm_problem",
concat('x', VectorLoadSize, kBlockSize),
concat('x', kPadM, kPadN, kPadK),
Scheduler);
// clang-format on
}
CK_TILE_HOST_DEVICE static constexpr auto GetAlignmentA()
{
if constexpr(std::is_same_v<ALayout, ck_tile::tensor_layout::gemm::ColumnMajor>)
......@@ -162,6 +175,8 @@ struct UniversalGemmPipelineProblem
static constexpr bool kPadN = Traits::kPadN;
static constexpr bool kPadK = Traits::kPadK;
static constexpr bool DoubleSmemBuffer = Traits::DoubleSmemBuffer;
static constexpr auto Scheduler = Scheduler_;
static constexpr auto HasHotLoop = HasHotLoop_;
static constexpr auto TailNum = TailNum_;
......
include/ck_tile/ops/gemm/pipeline/tile_gemm_shape.hpp
View file @ b8d11559
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck_tile/core.hpp"
#include "ck_tile/host/concat.hpp"
namespace ck_tile {
......@@ -19,6 +20,16 @@ struct TileGemmShape
static constexpr index_t kM = BlockTile::at(number<0>{});
static constexpr index_t kN = BlockTile::at(number<1>{});
static constexpr index_t kK = BlockTile::at(number<2>{});
CK_TILE_HOST static std::string GetName()
{
// clang-format off
return concat('_', "tile_gemm_shape",
concat('x', kM, kN, kK, NumWarps),
concat('x', BlockWarps::at(number<0>{}), BlockWarps::at(number<1>{}), BlockWarps::at(number<2>{})),
concat('x', (WarpTile::at(number<0>{})), WarpTile::at(number<1>{}), WarpTile::at(number<2>{})));
// clang-format on
}
};
} // namespace ck_tile
include/ck_tile/ops/gemm/pipeline/tile_gemm_traits.hpp
View file @ b8d11559
......@@ -32,6 +32,7 @@ struct TileGemmTraits
template <bool kPadM_,
bool kPadN_,
bool kPadK_,
bool DoubleSmemBuffer_,
typename ALayout_,
typename BLayout_,
typename CLayout_,
......@@ -42,6 +43,8 @@ struct TileGemmUniversalTraits
static constexpr bool kPadN = kPadN_;
static constexpr bool kPadK = kPadK_;
static constexpr bool DoubleSmemBuffer = DoubleSmemBuffer_;
using ALayout = ALayout_;
using BLayout = BLayout_;
using CLayout = CLayout_;
......
include/ck_tile/ops/image_to_column.hpp
View file @ b8d11559
......@@ -8,3 +8,4 @@
#include "ck_tile/ops/image_to_column/pipeline/tile_image_to_column_shape.hpp"
#include "ck_tile/ops/common/generic_2d_block_shape.hpp"
#include "ck_tile/ops/common/tensor_layout.hpp"
#include "ck_tile/ops/common/utils.hpp"
include/ck_tile/ops/layernorm2d.hpp
View file @ b8d11559
......@@ -11,3 +11,4 @@
#include "ck_tile/ops/layernorm2d/pipeline/layernorm2d_fwd_traits.hpp"
#include "ck_tile/ops/common/generic_2d_block_shape.hpp"
#include "ck_tile/ops/common/tensor_layout.hpp"
#include "ck_tile/ops/common/utils.hpp"
include/ck_tile/ops/norm_reduce.hpp
View file @ b8d11559
......@@ -8,3 +8,4 @@
#include "ck_tile/ops/norm_reduce/thread/thread_welford.hpp"
#include "ck_tile/ops/common/generic_2d_block_shape.hpp"
#include "ck_tile/ops/common/tensor_layout.hpp"
#include "ck_tile/ops/common/utils.hpp"
include/ck_tile/ops/permute.hpp
View file @ b8d11559
......@@ -7,3 +7,4 @@
#include "ck_tile/ops/permute/pipeline/generic_petmute_problem.hpp"
#include "ck_tile/ops/common/generic_2d_block_shape.hpp"
#include "ck_tile/ops/common/tensor_layout.hpp"
#include "ck_tile/ops/common/utils.hpp"
include/ck_tile/ops/reduce.hpp
View file @ b8d11559
......@@ -9,3 +9,4 @@
#include "ck_tile/ops/reduce/block/block_reduce2d_problem.hpp"
#include "ck_tile/ops/common/generic_2d_block_shape.hpp"
#include "ck_tile/ops/common/tensor_layout.hpp"
#include "ck_tile/ops/common/utils.hpp"
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