mirror of
https://github.com/ROCm/composable_kernel.git
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24d996aae1
* CK-Tile GEMM with memory bound pipeline. * Memory bound gemm pipeline. * Fix not closed namespace. * Block gemm mem pipeline draft. * Do not use ck_tile:: within ck_tile namespace. * Refactoring & Move Layout info to pipeline problem. * Get hot loop and TailNum information before lunching kernel. * Fixes in pipeline. * Add comment to load_tile_raw and change variable naming style. * Few small changes & formatting. * Do not use macro. * Add gtests. * Use AccDataType for Output of MFMA instruction. * Formatting. * Refactor gemm examples. * Switch over to current block gemm. * Use currently available pipeline policy. * Refactoring and review comment.s * Fixes after merge. * Add missing include. * Add load tile overload which accepts output tensor as parameter. * This give 8% perf boost at the cost of using more registers. * Rename example. * Small changes. * Fix compilation err and lower K. * Support different layouts for A/B * Fix vector size for different layouts. * Rename Alignment into VectorSize * Unblock tests.
111 lines
4.6 KiB
C++
111 lines
4.6 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 <ostream>
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#include <string>
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#include <tuple>
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#include "ck_tile/ops/epilogue.hpp"
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#include "ck_tile/ops/gemm.hpp"
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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 gemm_basic_args& args, const ck_tile::stream_config& s)
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{
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// The kPadA, kPadB, kPadC & kBlockPerCu should also come from the Codegen part.
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constexpr bool kPadA = true;
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constexpr bool kPadB = true;
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constexpr bool kPadC = true;
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constexpr bool kTilePermute = false;
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// The rank and permutation will also be generate out by the CodeGen part.
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constexpr ck_tile::index_t kOutputRank = 2;
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constexpr int kBlockPerCu = 1;
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// This part comes from the Codegen
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constexpr ck_tile::index_t M_Tile = 128;
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constexpr ck_tile::index_t N_Tile = 128;
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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 = 8;
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// Whether doing the CShuffle (transpose before the global memory), depending on the output
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// layout.
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constexpr bool CShuffleEpilogue =
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std::is_same_v<CLayout, ck_tile::tensor_layout::gemm::ColumnMajor>;
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using CodegenGemmShape =
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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::GemmTilePartitioner<CodegenGemmShape>;
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using GemmEpilogue = std::conditional_t<
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CShuffleEpilogue,
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ck_tile::CShuffleEpilogue<ck_tile::CShuffleEpilogueProblem<AccDataType,
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CDataType,
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kPadA,
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kPadB,
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kTilePermute,
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kOutputRank,
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1,
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0,
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TilePartitioner::kM,
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TilePartitioner::kN>>,
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ck_tile::Default2DEpilogue<
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ck_tile::Default2DEpilogueProblem<AccDataType, CDataType, kPadA, kPadB>>>;
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using CodegenGemmTraits =
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ck_tile::TileGemmTraits<kPadA, kPadB, kPadC, ALayout, BLayout, CLayout>;
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using CodegenPipelineProblem = ck_tile::
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GemmPipelineProblem<ADataType, BDataType, AccDataType, CodegenGemmShape, CodegenGemmTraits>;
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using CodegenGemmPolicy = ck_tile::UniversalGemmPipelineAgBgCrPolicy<ALayout, BLayout, CLayout>;
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using CodegenGemmPipeline =
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ck_tile::GemmPipelineAGmemBGmemCRegV1<CodegenPipelineProblem, CodegenGemmPolicy>;
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// ToDo: Will add the codegen part to test different pipeline policies in GEMM.
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// Now we only use the BlockGemmASmemBSmemCRegV1DefaultPolicy.
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using Kernel = ck_tile::GemmKernel<TilePartitioner, CodegenGemmPipeline, GemmEpilogue>;
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auto kargs = Kernel::MakeKargs(args.p_a,
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args.p_b,
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args.p_c,
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args.M,
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args.N,
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args.K,
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args.stride_A,
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args.stride_B,
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args.stride_C);
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const dim3 grids = Kernel::GridSize(args.M, args.N, args.kbatch);
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constexpr dim3 blocks = Kernel::BlockSize();
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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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float 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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#include "run_gemm_example.inc"
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int main(int argc, char* argv[]) { return !run_gemm_example(argc, argv); }
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