[flatmm] implement basic fp16 flatmm (#2089)

* [flatmm] implement basic fp16 flatmm

* fix CI build fail

---------

Co-authored-by: root <root@hjbog-srdc-50.amd.com>
Co-authored-by: solin <bingzhou@amd.com>
This commit is contained in:
BingYuan.Zhou
2025-04-16 16:51:17 +08:00
committed by GitHub
parent c5975529bb
commit eaf1f0bf3b
14 changed files with 1803 additions and 0 deletions

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// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck_tile/core.hpp"
#include "ck_tile/ops/flatmm/pipeline/flatmm_pipeline_agmem_bgmem_creg_v1_policy.hpp"
namespace ck_tile {
template <typename Problem, typename PipelinePolicy = UniversalFlatmmPipelineAgBgCrPolicy>
struct FlatmmPipelineAGmemBGmemCRegV1
{
using ADataType = remove_cvref_t<typename Problem::ADataType>;
using BDataType = remove_cvref_t<typename Problem::BDataType>;
using CDataType = remove_cvref_t<typename Problem::CDataType>;
using BlockGemmShape = remove_cvref_t<typename Problem::BlockGemmShape>; // TileFlatmmShape
using ALayout = remove_cvref_t<typename Problem::ALayout>;
using BLayout = remove_cvref_t<typename Problem::BLayout>;
using CLayout = remove_cvref_t<typename Problem::CLayout>;
using BlockFlatmm =
remove_cvref_t<decltype(PipelinePolicy::template GetBlockFlatmm<Problem>())>;
static constexpr index_t BlockSize = Problem::kBlockSize;
static constexpr index_t kMPerBlock = BlockGemmShape::kM;
static constexpr index_t kNPerBlock = BlockGemmShape::kN;
static constexpr index_t kKPerBlock = BlockGemmShape::kK;
static constexpr index_t flatKPerWarp = BlockGemmShape::flatKPerWarp;
static constexpr index_t flatNPerWarp = BlockGemmShape::flatNPerWarp;
static constexpr index_t GetVectorSizeA() { return Problem::VectorSizeA; }
static constexpr index_t GetVectorSizeB() { return Problem::VectorSizeB; }
static constexpr index_t GetVectorSizeC() { return Problem::VectorSizeC; }
static constexpr bool kPadM = Problem::kPadM;
static constexpr bool kPadN = Problem::kPadN;
static constexpr bool kPadK = Problem::kPadK;
static constexpr index_t kLdsAlignmentInBytes = 16;
static constexpr auto I0 = number<0>();
static constexpr auto I1 = number<1>();
static constexpr auto I2 = number<2>();
static constexpr auto idxM = I0;
static constexpr auto idxN = I1;
static constexpr auto idxK = I2;
using BlockTile = remove_cvref_t<typename BlockGemmShape::BlockTile>;
using BlockWarps = remove_cvref_t<typename BlockGemmShape::BlockWarps>;
using WarpTile = remove_cvref_t<typename BlockGemmShape::WarpTile>;
[[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()
{
return PipelinePolicy::template GetSmemSize<Problem>();
}
template <typename ADramBlockWindowTmp, typename BFlatBlockWindowTmp, typename AElementFunction>
CK_TILE_HOST_DEVICE auto operator()(const ADramBlockWindowTmp& a_dram_block_window_tmp,
const AElementFunction& a_element_func,
const BFlatBlockWindowTmp& b_flat_dram_block_window_tmp,
index_t num_loop,
void* p_smem) const
{
static_assert(
std::is_same_v<ADataType, remove_cvref_t<typename ADramBlockWindowTmp::DataType>>,
"wrong!");
static_assert(kMPerBlock == ADramBlockWindowTmp{}.get_window_lengths()[number<0>{}],
"wrong!");
static_assert(kKPerBlock == ADramBlockWindowTmp{}.get_window_lengths()[number<1>{}],
"wrong!");
// A tile in LDS
ADataType* p_a_lds = static_cast<ADataType*>(p_smem);
constexpr auto a_lds_block_desc =
PipelinePolicy::template MakeALdsBlockDescriptor<Problem>();
auto a_lds_block = make_tensor_view<address_space_enum::lds>(p_a_lds, a_lds_block_desc);
// A DRAM tile window for load
auto a_copy_dram_window =
make_tile_window(a_dram_block_window_tmp.get_bottom_tensor_view(),
make_tuple(number<kMPerBlock>{}, number<kKPerBlock>{}),
a_dram_block_window_tmp.get_window_origin(),
PipelinePolicy::template MakeADramTileDistribution<Problem>());
// A LDS tile window for store
auto a_copy_lds_window = make_tile_window(
a_lds_block, make_tuple(number<kMPerBlock>{}, number<kKPerBlock>{}), {0, 0});
// A LDS tile for block GEMM
auto a_lds_gemm_window = make_tile_window(
a_lds_block, make_tuple(number<kMPerBlock>{}, number<kKPerBlock>{}), {0, 0});
// Block GEMM
auto block_flatmm = BlockFlatmm();
// B flat DRAM window for load
auto b_flat_distribution =
PipelinePolicy::template MakeBFlatDramTileDistribution<Problem>();
auto b_flat_dram_window = // tile_window_with_static_distribution
make_tile_window(
b_flat_dram_block_window_tmp.get_bottom_tensor_view(), // from kernel gemm_pad_views
make_tuple(number<flatNPerWarp>{}, number<flatKPerWarp>{}),
b_flat_dram_block_window_tmp.get_window_origin(),
b_flat_distribution);
// Acc register tile
auto c_block_tile = decltype(block_flatmm(a_lds_gemm_window, b_flat_dram_window)){};
// prefetch
// global read 0
auto a_block_tile = load_tile(a_copy_dram_window);
{
// move to 1
move_tile_window(a_copy_dram_window, {0, kKPerBlock});
// initialize C
tile_elementwise_inout([](auto& c) { c = 0; }, c_block_tile);
// LDS write 0
if constexpr(std::is_same_v<ALayout, tensor_layout::gemm::ColumnMajor>)
{
auto a_shuffle_tmp = make_static_distributed_tensor<ADataType>(
PipelinePolicy::template MakeShuffledARegBlockDistribution<Problem>());
shuffle_tile(a_shuffle_tmp, a_block_tile);
const auto a_block_tile_tmp = tile_elementwise_in(a_element_func, a_shuffle_tmp);
store_tile(a_copy_lds_window, a_block_tile_tmp);
}
else
{
store_tile(a_copy_lds_window, tile_elementwise_in(a_element_func, a_block_tile));
}
}
index_t iCounter = num_loop - 1;
while(iCounter > 0)
{
// global read i + 1
a_block_tile = load_tile(a_copy_dram_window);
block_sync_lds();
// GEMM i
block_flatmm(c_block_tile, a_lds_gemm_window, b_flat_dram_window);
block_sync_lds();
// move to i + 2
move_tile_window(a_copy_dram_window, {0, kKPerBlock});
// LDS write i + 1
const auto a_block_tile_tmp = tile_elementwise_in(a_element_func, a_block_tile);
store_tile(a_copy_lds_window, a_block_tile_tmp);
// move to next flat K
move_tile_window(b_flat_dram_window, {0, BlockGemmShape::flatKPerBlock});
iCounter--;
}
// tail
{
block_sync_lds();
// GEMM num_loop - 1
block_flatmm(c_block_tile, a_lds_gemm_window, b_flat_dram_window);
}
return c_block_tile;
}
template <typename ADramBlockWindowTmp, typename BFlatBlockWindowTmp>
CK_TILE_DEVICE auto operator()(const ADramBlockWindowTmp& a_dram_block_window_tmp,
const BFlatBlockWindowTmp& b_flat_dram_block_window_tmp,
index_t num_loop,
void* p_smem) const
{
return operator()(
a_dram_block_window_tmp,
[](const ADataType& a) { return a; },
b_flat_dram_block_window_tmp,
num_loop,
p_smem);
}
};
} // namespace ck_tile

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// 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"
namespace ck_tile {
struct UniversalFlatmmPipelineAgBgCrPolicy
{
static constexpr auto I0 = number<0>{};
static constexpr auto I1 = number<1>{};
static constexpr auto I2 = number<2>{};
// 3d + padding
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 auto a_lds_block_desc_0 = make_naive_tensor_descriptor(
make_tuple(number<kKPerBlock / 8>{}, number<kMPerBlock>{}, number<8>{}),
make_tuple(number<(kMPerBlock + 1) * 8>{}, number<8>{}, number<1>{}),
number<8>{},
number<1>{});
constexpr auto a_lds_block_desc = transform_tensor_descriptor(
a_lds_block_desc_0,
make_tuple(make_pass_through_transform(kMPerBlock),
make_merge_transform(make_tuple(kKPerBlock / 8, 8))),
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 index_t GetSmemSizeA()
{
constexpr index_t smem_size_a = sizeof(typename Problem::ADataType) *
MakeALdsBlockDescriptor<Problem>().get_element_space_size();
return smem_size_a;
}
template <typename Problem>
CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
{
constexpr index_t smem_size_a = GetSmemSizeA<Problem>();
return smem_size_a;
}
template <typename Problem>
CK_TILE_HOST_DEVICE static constexpr auto GetSmemPackA()
{
return Problem::VectorLoadSize;
}
template <typename Problem>
CK_TILE_HOST_DEVICE static constexpr auto MakeADramTileDistribution()
{
using ADataType = remove_cvref_t<typename Problem::ADataType>;
using ALayout = remove_cvref_t<typename Problem::ALayout>;
constexpr index_t BlockSize = Problem::kBlockSize;
constexpr index_t MPerBlock = Problem::BlockGemmShape::kM;
constexpr index_t KPerBlock = Problem::BlockGemmShape::kK;
if constexpr(std::is_same_v<ALayout, ck_tile::tensor_layout::gemm::ColumnMajor>)
{
constexpr index_t M1 = Problem::VectorLoadSize / sizeof(ADataType);
constexpr index_t M0 = MPerBlock / M1;
constexpr index_t total_pixels = MPerBlock * KPerBlock / BlockSize;
static_assert(total_pixels % M1 == 0);
constexpr index_t K3 = total_pixels / M1;
constexpr index_t KPack = GetSmemPackA<Problem>();
static_assert(KPack % K3 == 0);
constexpr index_t K2 = KPack / K3;
if constexpr(get_warp_size() % (K2 * M0))
{
constexpr index_t K1 = get_warp_size() / (K2 * M0);
constexpr index_t K0 = BlockSize / get_warp_size();
static_assert(KPerBlock == K0 * K1 * K2 * K3);
return make_static_tile_distribution(
tile_distribution_encoding<sequence<1>,
tuple<sequence<M0, M1>, sequence<K0, K1, K2, K3>>,
tuple<sequence<2>, sequence<2, 1, 2>>,
tuple<sequence<0>, sequence<1, 0, 2>>,
sequence<2, 1>,
sequence<3, 1>>{});
}
else
{
constexpr index_t K1 = (K2 * M0) / get_warp_size();
constexpr index_t K2_m = K2 / K1;
constexpr index_t K0 = BlockSize / get_warp_size() / K1;
static_assert(KPerBlock == K0 * K1 * K2_m * K3);
return make_static_tile_distribution(
tile_distribution_encoding<sequence<1>,
tuple<sequence<M0, M1>, sequence<K0, K1, K2_m, K3>>,
tuple<sequence<2, 2>, sequence<1, 2>>,
tuple<sequence<0, 1>, sequence<0, 2>>,
sequence<2, 1>,
sequence<3, 1>>{});
}
}
else
{
constexpr index_t K1 = 16 / sizeof(ADataType);
constexpr index_t K0 = KPerBlock / K1;
constexpr index_t M2 = get_warp_size() / K0;
// coalesce reading for each blocks
if constexpr(get_warp_size() % (M2 * K0) == 0)
{
constexpr index_t M1 = BlockSize / get_warp_size();
static_assert(M2 != 0, "M2 is zero, which will lead to a division by zero error.");
static_assert(M1 != 0, "M1 is zero, which will lead to a division by zero error.");
constexpr index_t M0 = MPerBlock / (M2 * M1);
static_assert(M0 * M1 * M2 == MPerBlock,
"Incorrect M0, M2, M1 configuration! "
"M0, M1, M2 must cover whole MPerBlock!");
return make_static_tile_distribution(
tile_distribution_encoding<sequence<1>,
tuple<sequence<M0, M1, M2>, sequence<K0, K1>>,
tuple<sequence<1>, sequence<1, 2>>,
tuple<sequence<1>, sequence<2, 0>>,
sequence<1, 2>,
sequence<0, 1>>{});
}
else
{
constexpr index_t M0 = BlockSize / get_warp_size();
constexpr index_t M1 = MPerBlock / (M2 * M0);
static_assert(M0 * M1 * M2 == MPerBlock,
"Incorrect M0, M1, M2 configuration! "
"M0, M1, M2 must cover whole MPerBlock!");
return make_static_tile_distribution(
tile_distribution_encoding<sequence<1>,
tuple<sequence<M0, M1, M2>, sequence<K0, K1>>,
tuple<sequence<1>, sequence<1, 2>>,
tuple<sequence<0>, sequence<2, 0>>,
sequence<1, 2>,
sequence<1, 1>>{});
}
}
}
template <typename Problem>
CK_TILE_HOST_DEVICE static constexpr auto MakeBFlatDramTileDistribution()
{
using BDataType = remove_cvref_t<typename Problem::BDataType>;
using TileShape = typename Problem::BlockGemmShape; // ck_tile::TileFlatmmShape
constexpr index_t BlockSize = Problem::kBlockSize;
constexpr index_t WaveSize = get_warp_size();
constexpr index_t WaveNum = BlockSize / WaveSize;
constexpr index_t KBPerLoad =
Problem::VectorLoadSize / sizeof(BDataType); // dwordx4 load B elem cnt
constexpr index_t KThdPerWave = WaveSize; // threads cnt in K dim
constexpr index_t KWavePerBlk = 1;
constexpr index_t KRepeat = 1;
constexpr index_t NBPerLoad = 1;
constexpr index_t NThdPerWave = 1;
constexpr index_t NWavePerBlk = TileShape::BlockWarps::at(TileShape::idxN); // N_Warp
constexpr index_t NRepeat = 1;
constexpr index_t WaveRepeat = WaveNum / TileShape::flatNPerWarp;
return make_static_tile_distribution(
tile_distribution_encoding<
sequence<WaveRepeat>, // ?
tuple<sequence<NRepeat, NWavePerBlk, NThdPerWave, NBPerLoad>, // second direction
sequence<KRepeat, KWavePerBlk, KThdPerWave, KBPerLoad>>, // first direction
// wave in blk, // thd in wave
// <M, K> // <M, K>
tuple<sequence<0, 1, 2>, sequence<1, 2>>, // which direction
tuple<sequence<0, 1, 1>, sequence<2, 2>>, // which index
// <repeat, vec_load>
sequence<1, 1, 2, 2>,
sequence<0, 3, 0, 3>>{});
}
template <typename Problem>
CK_TILE_HOST_DEVICE static constexpr auto MakeShuffledARegBlockDistribution()
{
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::ColumnMajor>);
constexpr index_t kBlockSize = Problem::kBlockSize;
constexpr index_t kMPerBlock = Problem::BlockGemmShape::kM;
constexpr index_t kKPerBlock = Problem::BlockGemmShape::kK;
constexpr index_t M1 = Problem::VectorLoadSize / sizeof(ADataType);
constexpr index_t M0 = kMPerBlock / M1;
constexpr index_t total_pixels = kMPerBlock * kKPerBlock / kBlockSize;
static_assert(total_pixels % M1 == 0);
constexpr index_t K3 = total_pixels / M1;
constexpr index_t kKPack = GetSmemPackA<Problem>();
static_assert(kKPack % K3 == 0);
constexpr index_t K2 = kKPack / K3; // TODO: this dimention could be outside single wave
constexpr index_t warp_size = get_warp_size();
if constexpr(warp_size % (K2 * M0) == 0)
{
constexpr index_t K1 = warp_size / (K2 * M0);
constexpr index_t K0 = kBlockSize / warp_size;
return make_static_tile_distribution(
tile_distribution_encoding<sequence<1>,
tuple<sequence<M0, M1>, sequence<K0, K1, K2, K3>>,
tuple<sequence<2>, sequence<2, 1, 2>>,
tuple<sequence<0>, sequence<1, 0, 2>>,
sequence<1, 2>,
sequence<1, 3>>{});
}
else
{
constexpr index_t K1 = (K2 * M0) / get_warp_size();
constexpr index_t K2_m = K2 / K1;
constexpr index_t K0 = kBlockSize / get_warp_size() / K1;
static_assert(kKPerBlock == K0 * K1 * K2_m * K3);
return make_static_tile_distribution(
tile_distribution_encoding<sequence<1>,
tuple<sequence<M0, M1>, sequence<K0, K1, K2_m, K3>>,
tuple<sequence<2, 2>, sequence<1, 2>>,
tuple<sequence<0, 1>, sequence<0, 2>>,
sequence<1, 2>,
sequence<1, 3>>{});
}
}
template <typename Problem>
CK_TILE_HOST_DEVICE static constexpr auto GetBlockFlatmm()
{
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 BlockFlatmmPolicy =
BlockFlatmmASmemBSmemCRegV1CustomPolicy<typename Problem::ADataType,
typename Problem::BDataType,
typename Problem::CDataType,
BlockWarps,
WarpGemm>;
return BlockFlatmmASmemBSmemCRegV1<Problem, BlockFlatmmPolicy>{};
}
};
} // namespace ck_tile

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// SPDX-License-Identifier: MIT
// 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 {
template <typename BlockTile_, typename BlockWarps_, typename WarpTile_>
struct TileFlatmmShape
{
using BlockTile = remove_cvref_t<BlockTile_>;
using BlockWarps = remove_cvref_t<BlockWarps_>;
using WarpTile = remove_cvref_t<WarpTile_>;
static constexpr auto idxM = number<0>{};
static constexpr auto idxN = number<1>{};
static constexpr auto idxK = number<2>{};
static constexpr index_t NumWarps = reduce_on_sequence(BlockWarps{}, multiplies{}, number<1>{});
static constexpr index_t kM = BlockTile::at(idxM);
static constexpr index_t kN = BlockTile::at(idxN);
static constexpr index_t kK = BlockTile::at(idxK);
static constexpr index_t flatNPerWarp = BlockWarps::at(idxN);
static constexpr index_t flatKPerWarp = WarpTile::at(idxK) * WarpTile::at(idxN);
static constexpr index_t flatKPerBlock = flatKPerWarp * kK / WarpTile::at(idxK);
CK_TILE_HOST static std::string GetName()
{
// clang-format off
return concat('_', "tile_flatmm_shape",
concat('x', kM, kN, kK, NumWarps),
concat('x', BlockWarps::at(idxM), BlockWarps::at(idxN), BlockWarps::at(idxK)),
concat('x', (WarpTile::at(idxM)), WarpTile::at(idxN), WarpTile::at(idxK)));
// clang-format on
}
};
} // namespace ck_tile