mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-04-19 22:39:03 +00:00
0bcb804ad0
* moves kbatch condition outside of kernel * add reviewer comments * fixes * fix tests * fixes after review --------- Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
324 lines
14 KiB
C++
324 lines
14 KiB
C++
// SPDX-License-Identifier: MIT
|
|
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
|
|
|
|
#include <hip/hip_runtime.h>
|
|
|
|
#include <cstring>
|
|
#include <iostream>
|
|
#include <ostream>
|
|
#include <string>
|
|
#include <tuple>
|
|
|
|
#include "ck_tile/core.hpp"
|
|
#include "ck_tile/ops/epilogue.hpp"
|
|
#include "ck_tile/ops/gemm.hpp"
|
|
#include "ck_tile/host.hpp"
|
|
#include "batched_gemm.hpp"
|
|
|
|
template <typename ALayout, typename BLayout, typename CLayout>
|
|
float batched_gemm(const ck_tile::BatchedGemmHostArgs& args, const ck_tile::stream_config& s)
|
|
{
|
|
#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_MEMORY)
|
|
// Memory friendly for Interwave scheduler
|
|
constexpr ck_tile::index_t M_Tile = 128;
|
|
constexpr ck_tile::index_t N_Tile = 32;
|
|
constexpr ck_tile::index_t K_Tile = 64;
|
|
|
|
constexpr ck_tile::index_t M_Warp = 4;
|
|
constexpr ck_tile::index_t N_Warp = 1;
|
|
constexpr ck_tile::index_t K_Warp = 1;
|
|
|
|
constexpr ck_tile::index_t M_Warp_Tile = 32;
|
|
constexpr ck_tile::index_t N_Warp_Tile = 32;
|
|
constexpr ck_tile::index_t K_Warp_Tile = 8;
|
|
|
|
constexpr bool DoubleSmemBuffer = false;
|
|
#endif
|
|
#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V3)
|
|
// Compute friendly for Intrawave scheduler
|
|
constexpr ck_tile::index_t M_Tile = 256;
|
|
constexpr ck_tile::index_t N_Tile = 256;
|
|
constexpr ck_tile::index_t K_Tile = 64;
|
|
|
|
constexpr ck_tile::index_t M_Warp = 2;
|
|
constexpr ck_tile::index_t N_Warp = 2;
|
|
constexpr ck_tile::index_t K_Warp = 1;
|
|
|
|
constexpr ck_tile::index_t M_Warp_Tile = 32;
|
|
constexpr ck_tile::index_t N_Warp_Tile = 32;
|
|
constexpr ck_tile::index_t K_Warp_Tile = 16;
|
|
|
|
constexpr bool DoubleSmemBuffer = false;
|
|
#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V4)
|
|
// Compute friendly for Intrawave scheduler
|
|
// Using the ping pong reader in the lds level
|
|
constexpr ck_tile::index_t M_Tile = 256;
|
|
constexpr ck_tile::index_t N_Tile = 256;
|
|
constexpr ck_tile::index_t K_Tile = 32;
|
|
|
|
constexpr ck_tile::index_t M_Warp = 2;
|
|
constexpr ck_tile::index_t N_Warp = 2;
|
|
constexpr ck_tile::index_t K_Warp = 1;
|
|
|
|
constexpr ck_tile::index_t M_Warp_Tile = 32;
|
|
constexpr ck_tile::index_t N_Warp_Tile = 32;
|
|
constexpr ck_tile::index_t K_Warp_Tile = 16;
|
|
|
|
constexpr bool DoubleSmemBuffer = true;
|
|
#endif
|
|
|
|
constexpr bool kPadM = false;
|
|
constexpr bool kPadN = false;
|
|
constexpr bool kPadK = false;
|
|
|
|
constexpr bool TransposeC = false;
|
|
|
|
constexpr int kBlockPerCu = 1;
|
|
constexpr ck_tile::index_t TileParitionerGroupNum = 8;
|
|
constexpr ck_tile::index_t TileParitionerM01 = 4;
|
|
|
|
using GemmShape =
|
|
ck_tile::TileGemmShape<ck_tile::sequence<M_Tile, N_Tile, K_Tile>,
|
|
ck_tile::sequence<M_Warp, N_Warp, K_Warp>,
|
|
ck_tile::sequence<M_Warp_Tile, N_Warp_Tile, K_Warp_Tile>>;
|
|
using TilePartitioner = ck_tile::
|
|
GemmSpatiallyLocalTilePartitioner<GemmShape, TileParitionerGroupNum, TileParitionerM01>;
|
|
|
|
using Traits = ck_tile::TileGemmTraits<kPadM, kPadN, kPadK, ALayout, BLayout, CLayout>;
|
|
using GemmUniversalTraits = ck_tile::TileGemmUniversalTraits<kPadM,
|
|
kPadN,
|
|
kPadK,
|
|
DoubleSmemBuffer,
|
|
ALayout,
|
|
BLayout,
|
|
CLayout,
|
|
TransposeC>;
|
|
using GemmPipelineProblem =
|
|
ck_tile::GemmPipelineProblem<ADataType, BDataType, AccDataType, GemmShape, Traits>;
|
|
|
|
using BaseGemmPipeline = UNIVERSAL_GEMM_PIPELINE<GemmPipelineProblem>;
|
|
|
|
const ck_tile::index_t k_grain = args.k_batch * K_Tile;
|
|
const ck_tile::index_t K_split = (args.K + k_grain - 1) / k_grain * K_Tile;
|
|
const ck_tile::index_t num_loop = TilePartitioner::GetLoopNum(K_split);
|
|
const bool has_hot_loop = BaseGemmPipeline::BlockHasHotloop(num_loop);
|
|
const ck_tile::TailNumber tail_num = BaseGemmPipeline::GetBlockLoopTailNum(num_loop);
|
|
|
|
float ave_time{0};
|
|
|
|
const auto Run =
|
|
[&](const auto has_hot_loop_, const auto tail_number_, const auto memory_operation_) {
|
|
constexpr bool has_hot_loop_v = has_hot_loop_.value;
|
|
constexpr auto tail_number_v = tail_number_.value;
|
|
constexpr auto scheduler = GEMM_PIPELINE_SCHEDULER;
|
|
constexpr auto memory_operation = memory_operation_.value;
|
|
|
|
using UniversalGemmProblem = ck_tile::UniversalGemmPipelineProblem<ADataType,
|
|
BDataType,
|
|
AccDataType,
|
|
GemmShape,
|
|
GemmUniversalTraits,
|
|
scheduler,
|
|
has_hot_loop_v,
|
|
tail_number_v>;
|
|
|
|
using GemmPipeline = GEMM_PIPELINE<UniversalGemmProblem>;
|
|
using GemmEpilogue = ck_tile::CShuffleEpilogue<
|
|
ck_tile::CShuffleEpilogueProblem<ADataType,
|
|
BDataType,
|
|
AccDataType,
|
|
CDataType,
|
|
CLayout,
|
|
GemmPipelineProblem::kBlockSize,
|
|
TilePartitioner::MPerBlock,
|
|
TilePartitioner::NPerBlock,
|
|
M_Warp,
|
|
N_Warp,
|
|
M_Warp_Tile,
|
|
N_Warp_Tile,
|
|
K_Warp_Tile,
|
|
UniversalGemmProblem::TransposeC,
|
|
memory_operation>>;
|
|
using Kernel = ck_tile::BatchedGemmKernel<TilePartitioner, GemmPipeline, GemmEpilogue>;
|
|
auto kargs = Kernel::MakeKernelArgs(args);
|
|
|
|
const dim3 grids = Kernel::GridSize(args.M, args.N, args.k_batch, args.batch_count);
|
|
constexpr dim3 blocks = Kernel::BlockSize();
|
|
|
|
if(!Kernel::IsSupportedArgument(kargs))
|
|
{
|
|
throw std::runtime_error("Wrong! Arguments not supported! Skipping gemm!\n");
|
|
}
|
|
|
|
if(s.log_level_ > 0)
|
|
{
|
|
std::cout << "Launching kernel with args: " << Kernel::GetName() << '\n'
|
|
<< "shape: " << GemmShape::GetName() << '\n'
|
|
<< "problem: " << GemmPipelineProblem::GetName() << '\n'
|
|
<< "pipeline: " << GemmPipeline::GetName() << '\n'
|
|
<< "grid: {" << grids.x << ", " << grids.y << ", " << grids.z << "}"
|
|
<< ", blocks: {" << blocks.x << ", " << blocks.y << ", " << blocks.z
|
|
<< "}" << std::endl;
|
|
}
|
|
|
|
ave_time = ck_tile::launch_kernel(
|
|
s, ck_tile::make_kernel<blocks.x, kBlockPerCu>(Kernel{}, grids, blocks, 0, kargs));
|
|
return ave_time;
|
|
};
|
|
|
|
const auto RunSplitk = [&](const auto has_hot_loop_, const auto tail_number_) {
|
|
if(args.k_batch == 1)
|
|
{
|
|
Run(has_hot_loop_,
|
|
tail_number_,
|
|
ck_tile::integral_constant<ck_tile::memory_operation_enum,
|
|
ck_tile::memory_operation_enum::set>{});
|
|
}
|
|
else
|
|
{
|
|
Run(has_hot_loop_,
|
|
tail_number_,
|
|
ck_tile::integral_constant<ck_tile::memory_operation_enum,
|
|
ck_tile::memory_operation_enum::atomic_add>{});
|
|
}
|
|
};
|
|
|
|
if(has_hot_loop)
|
|
{
|
|
#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V3)
|
|
if(tail_num == ck_tile::TailNumber::Full)
|
|
{
|
|
RunSplitk(ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Full>{});
|
|
}
|
|
else if(tail_num == ck_tile::TailNumber::Odd)
|
|
{
|
|
RunSplitk(ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Odd>{});
|
|
}
|
|
else if(tail_num == ck_tile::TailNumber::Even)
|
|
{
|
|
RunSplitk(ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Even>{});
|
|
}
|
|
else
|
|
{
|
|
std::ostringstream err;
|
|
err << "Incorrect tail_num for compv3 pipeline! Expected Full, Odd or Even, but got "
|
|
<< tail_num << "\nPrefetchStages: " << BaseGemmPipeline::PrefetchStages
|
|
<< "\n File: " << __FILE__ << ":" << __LINE__ << ", in function: " << __func__;
|
|
throw std::runtime_error(err.str());
|
|
}
|
|
#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_MEMORY)
|
|
// Tail pipeline One to Seven
|
|
if(tail_num == ck_tile::TailNumber::One)
|
|
{
|
|
RunSplitk(ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::One>{});
|
|
}
|
|
else if(tail_num == ck_tile::TailNumber::Full)
|
|
{
|
|
RunSplitk(ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Full>{});
|
|
}
|
|
|
|
if constexpr(BaseGemmPipeline::PrefetchStages > 2)
|
|
{
|
|
if(tail_num == ck_tile::TailNumber::Two)
|
|
{
|
|
RunSplitk(
|
|
ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Two>{});
|
|
}
|
|
}
|
|
if constexpr(BaseGemmPipeline::PrefetchStages > 3)
|
|
{
|
|
if(tail_num == ck_tile::TailNumber::Three)
|
|
{
|
|
RunSplitk(
|
|
ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Three>{});
|
|
}
|
|
}
|
|
if constexpr(BaseGemmPipeline::PrefetchStages > 4)
|
|
{
|
|
if(tail_num == ck_tile::TailNumber::Four)
|
|
{
|
|
RunSplitk(
|
|
ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Four>{});
|
|
}
|
|
}
|
|
if constexpr(BaseGemmPipeline::PrefetchStages > 5)
|
|
{
|
|
if(tail_num == ck_tile::TailNumber::Five)
|
|
{
|
|
RunSplitk(
|
|
ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Five>{});
|
|
}
|
|
}
|
|
if constexpr(BaseGemmPipeline::PrefetchStages > 6)
|
|
{
|
|
if(tail_num == ck_tile::TailNumber::Six)
|
|
{
|
|
RunSplitk(
|
|
ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Six>{});
|
|
}
|
|
}
|
|
if constexpr(BaseGemmPipeline::PrefetchStages > 7)
|
|
{
|
|
if(tail_num == ck_tile::TailNumber::Seven)
|
|
{
|
|
RunSplitk(
|
|
ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Seven>{});
|
|
}
|
|
}
|
|
#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V4)
|
|
if(tail_num == ck_tile::TailNumber::Three)
|
|
{
|
|
RunSplitk(
|
|
ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Three>{});
|
|
}
|
|
else
|
|
{
|
|
RunSplitk(ck_tile::bool_constant<true>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Two>{});
|
|
}
|
|
#endif
|
|
}
|
|
else
|
|
{
|
|
if(tail_num == ck_tile::TailNumber::Full)
|
|
{
|
|
RunSplitk(ck_tile::bool_constant<false>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Full>{});
|
|
}
|
|
else if(tail_num == ck_tile::TailNumber::Odd)
|
|
{
|
|
RunSplitk(ck_tile::bool_constant<false>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Odd>{});
|
|
}
|
|
else if(tail_num == ck_tile::TailNumber::Even)
|
|
{
|
|
RunSplitk(ck_tile::bool_constant<false>{},
|
|
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Odd>{});
|
|
}
|
|
std::ostringstream err;
|
|
err << "Incorrect tail_num for pipeline without hotloop, expected Full, Odd or Even, but "
|
|
"got "
|
|
<< tail_num << "\n PrefetchStages: " << BaseGemmPipeline::PrefetchStages
|
|
<< "\n File: " << __FILE__ << ":" << __LINE__ << ", in function: " << __func__;
|
|
throw std::runtime_error(err.str());
|
|
}
|
|
|
|
return ave_time;
|
|
}
|
|
|
|
#include "run_batched_gemm_example.inc"
|
|
|
|
int main(int argc, char* argv[]) { return !run_batched_gemm_example(argc, argv); }
|