mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-02 12:41:26 +00:00
39dc25a9b8
* Refactor universal gemm policy. * Adapt example to refactor changes. * Introduce static encoding pattern * Adding shuffled encoding patterns. * Fix err in reverse tuple. * Add transpose_tile2d * Small refactoring + doc * Enable reading on contiguous dimension in all layouts. * Transpose A/B register tile if needed for comp v3 pipeline. * Take contiguous dim size when calculating dram vector load size. * A/B smem pack size taken from WarpGemm attributes * Update B LDS layout and setup tile distribution pattern at class level. * Fix static assert. * Fix errors in examples. * Formatting & fix IsTranspose * Fix VectorSize & refactor. * Add error loging messages. * Fix VecLoadSize and TranspseC for mem pipeline. * Update unit-tests & disable mem pipeline. * Clang format * Update include/ck_tile/core/tensor/tile_window.hpp Co-authored-by: jakpiase <jakub.piasecki@amd.com> * Fix compilation and reviewers comments. * Refactor unit-test. Fallback to non-universal gemm. Need to use GemmPipelineAGmemBGmemCRegV1 for now, since GemmKernel is now supporting also non-K major vector reads. --------- Co-authored-by: jakpiase <jakub.piasecki@amd.com>
259 lines
9.8 KiB
C++
259 lines
9.8 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
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#include <hip/hip_runtime.h>
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#include <cstring>
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#include <iostream>
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#include <sstream>
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#include <string>
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#include <tuple>
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#include "ck_tile/host.hpp"
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#include "gemm_basic.hpp"
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template <typename ALayout, typename BLayout, typename CLayout>
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float gemm_calc(const ck_tile::GemmHostArgs& args, const ck_tile::stream_config& s)
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{
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#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_MEMORY)
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// Memory friendly for Interwave scheduler
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constexpr ck_tile::index_t M_Tile = 128;
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constexpr ck_tile::index_t N_Tile = 32;
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constexpr ck_tile::index_t K_Tile = 64;
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constexpr ck_tile::index_t M_Warp = 4;
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constexpr ck_tile::index_t N_Warp = 1;
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constexpr ck_tile::index_t K_Warp = 1;
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constexpr ck_tile::index_t M_Warp_Tile = 32;
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constexpr ck_tile::index_t N_Warp_Tile = 32;
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constexpr ck_tile::index_t K_Warp_Tile = 8;
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#endif
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#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE)
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// Compute friendly for Intrawave scheduler
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constexpr ck_tile::index_t M_Tile = 256;
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constexpr ck_tile::index_t N_Tile = 256;
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constexpr ck_tile::index_t K_Tile = 32;
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constexpr ck_tile::index_t M_Warp = 2;
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constexpr ck_tile::index_t N_Warp = 2;
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constexpr ck_tile::index_t K_Warp = 1;
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constexpr ck_tile::index_t M_Warp_Tile = 32;
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constexpr ck_tile::index_t N_Warp_Tile = 32;
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constexpr ck_tile::index_t K_Warp_Tile = 16;
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#endif
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constexpr bool kPadM = false;
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constexpr bool kPadN = false;
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constexpr bool kPadK = false;
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constexpr bool TransposeC = false;
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constexpr int kBlockPerCu = 1;
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// ===============================================
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using GemmShape =
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ck_tile::TileGemmShape<ck_tile::sequence<M_Tile, N_Tile, K_Tile>,
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ck_tile::sequence<M_Warp, N_Warp, K_Warp>,
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ck_tile::sequence<M_Warp_Tile, N_Warp_Tile, K_Warp_Tile>>;
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using TilePartitioner = ck_tile::GemmTile2DPartitioner<GemmShape>;
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using GemmEpilogue = ck_tile::Default2DEpilogue<
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ck_tile::Default2DEpilogueProblem<AccDataType, CDataType, kPadM, kPadN>>;
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using Traits = ck_tile::TileGemmTraits<kPadM, kPadN, kPadK, ALayout, BLayout, CLayout>;
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using GemmUniversalTraits = ck_tile::
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TileGemmUniversalTraits<kPadM, kPadN, kPadK, ALayout, BLayout, CLayout, TransposeC>;
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using GemmPipelineProblem =
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ck_tile::GemmPipelineProblem<ADataType, BDataType, AccDataType, GemmShape, Traits>;
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using BaseGemmPipeline = UNIVERSAL_GEMM_PIPELINE<GemmPipelineProblem>;
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const ck_tile::index_t k_grain = args.k_batch * K_Tile;
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const ck_tile::index_t K_split = (args.K + k_grain - 1) / k_grain * K_Tile;
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const ck_tile::index_t num_loop = TilePartitioner::GetLoopNum(K_split);
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const bool has_hot_loop = BaseGemmPipeline::BlockHasHotloop(num_loop);
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const ck_tile::TailNumber tail_num = BaseGemmPipeline::GetBlockLoopTailNum(num_loop);
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float ave_time{0};
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const auto Run = [&](const auto has_hot_loop_, const auto tail_number_) {
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constexpr bool has_hot_loop_v = has_hot_loop_.value;
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constexpr auto tail_number_v = tail_number_.value;
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constexpr auto scheduler = GEMM_PIPELINE_SCHEDULER;
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using UniversalGemmProblem = ck_tile::UniversalGemmPipelineProblem<ADataType,
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BDataType,
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AccDataType,
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GemmShape,
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GemmUniversalTraits,
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scheduler,
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has_hot_loop_v,
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tail_number_v>;
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using GemmPipeline =
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GEMM_PIPELINE<UniversalGemmProblem, ck_tile::UniversalGemmPipelineAgBgCrPolicy>;
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using Kernel = ck_tile::GemmKernel<TilePartitioner, GemmPipeline, GemmEpilogue>;
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auto kargs = Kernel::MakeKernelArgs(args);
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const dim3 grids = Kernel::GridSize(args.M, args.N, args.k_batch);
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constexpr dim3 blocks = Kernel::BlockSize();
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if(!Kernel::IsSupportedArgument(kargs))
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{
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throw std::runtime_error("Wrong! Arguments not supported! Skipping gemm!\n");
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}
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if(s.log_level_ > 0)
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{
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std::cout << "Launching kernel with args:"
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<< " grid: {" << grids.x << ", " << grids.y << ", " << grids.z << "}"
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<< ", blocks: {" << blocks.x << ", " << blocks.y << ", " << blocks.z << "}"
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<< std::endl;
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}
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ave_time = ck_tile::launch_kernel(
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s, ck_tile::make_kernel<blocks.x, kBlockPerCu>(Kernel{}, grids, blocks, 0, kargs));
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return ave_time;
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};
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if(has_hot_loop)
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{
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#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE)
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if(tail_num == ck_tile::TailNumber::Full)
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{
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Run(ck_tile::bool_constant<true>{},
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ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Full>{});
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}
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else
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{
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std::ostringstream err;
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err << "For compute pipeline tail number should always be Full, but have \"" << tail_num
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<< "\" which is not supported! PrefetchStages: " << BaseGemmPipeline::PrefetchStages
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<< "\n File: " << __FILE__ << ":" << __LINE__ << ", in function: " << __func__;
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throw std::runtime_error(err.str());
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}
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#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_MEMORY)
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// Tail pipeline One to Seven
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if(tail_num == ck_tile::TailNumber::One)
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{
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Run(ck_tile::bool_constant<true>{},
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ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::One>{});
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}
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else if(tail_num == ck_tile::TailNumber::Full)
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{
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Run(ck_tile::bool_constant<true>{},
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ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Full>{});
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}
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if constexpr(BaseGemmPipeline::PrefetchStages > 2)
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{
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if(tail_num == ck_tile::TailNumber::Two)
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{
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Run(ck_tile::bool_constant<true>{},
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ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Two>{});
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}
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}
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if constexpr(BaseGemmPipeline::PrefetchStages > 3)
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{
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if(tail_num == ck_tile::TailNumber::Three)
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{
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Run(ck_tile::bool_constant<true>{},
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ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Three>{});
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}
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}
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if constexpr(BaseGemmPipeline::PrefetchStages > 4)
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{
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if(tail_num == ck_tile::TailNumber::Four)
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{
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Run(ck_tile::bool_constant<true>{},
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ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Four>{});
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}
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}
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if constexpr(BaseGemmPipeline::PrefetchStages > 5)
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{
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if(tail_num == ck_tile::TailNumber::Five)
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{
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Run(ck_tile::bool_constant<true>{},
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ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Five>{});
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}
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}
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if constexpr(BaseGemmPipeline::PrefetchStages > 6)
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{
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if(tail_num == ck_tile::TailNumber::Six)
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{
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Run(ck_tile::bool_constant<true>{},
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ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Six>{});
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}
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}
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if constexpr(BaseGemmPipeline::PrefetchStages > 7)
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{
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if(tail_num == ck_tile::TailNumber::Seven)
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{
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Run(ck_tile::bool_constant<true>{},
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ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Seven>{});
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}
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}
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#endif
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}
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else
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{
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// Tail number always Full - #PrefetchStages
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if(tail_num == ck_tile::TailNumber::Full)
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{
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Run(ck_tile::bool_constant<false>{},
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ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Full>{});
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}
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else
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{
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std::ostringstream err;
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err << "When there's no hot loop, this tail number \"" << tail_num
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<< "\" is not supported! PrefetchStages: " << BaseGemmPipeline::PrefetchStages
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<< "\n File: " << __FILE__ << ":" << __LINE__ << ", in function: " << __func__;
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throw std::runtime_error(err.str());
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}
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}
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return ave_time;
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}
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#include "run_gemm_example.inc"
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int run_gemm_example(int argc, char* argv[])
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{
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auto [result, arg_parser] = create_args(argc, argv);
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if(!result)
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return -1;
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using Row = ck_tile::tensor_layout::gemm::RowMajor;
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using Col = ck_tile::tensor_layout::gemm::ColumnMajor;
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std::string a_layout = arg_parser.get_str("a_layout");
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std::string b_layout = arg_parser.get_str("b_layout");
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if(a_layout == "R" && b_layout == "R")
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{
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return run_gemm_example_with_layouts(argc, argv, Row{}, Row{}, Row{});
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}
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else if(a_layout == "R" && b_layout == "C")
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{
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return run_gemm_example_with_layouts(argc, argv, Row{}, Col{}, Row{});
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}
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else if(a_layout == "C" && b_layout == "C")
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{
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return run_gemm_example_with_layouts(argc, argv, Col{}, Col{}, Row{});
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}
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else if(a_layout == "C" && b_layout == "R")
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{
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return run_gemm_example_with_layouts(argc, argv, Col{}, Row{}, Row{});
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}
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else
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{
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throw std::runtime_error("Unsupported data layout configuration for A,B and C tensors!");
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}
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}
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int main(int argc, char* argv[]) { return !run_gemm_example(argc, argv); }
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