mirror of
https://github.com/ROCm/composable_kernel.git
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66c5f5b0b6
* Addressing code review comments. * Addressing code review comments. * Reorganized code for better readability. * add ck_tile gemms for new types in CI * fix jenkins syntax * fix script syntax * Add the test cases back * Address the review comments * Address review comments * clang format * Solve the merging issues * Addressed the comments * clang format --------- Co-authored-by: illsilin <Illia.Silin@amd.com> Co-authored-by: ThomasNing <thomas.ning@amd.com> Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
360 lines
14 KiB
C++
360 lines
14 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2024-2025, 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_utils.hpp"
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template <typename ADataType,
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typename BDataType,
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typename AccDataType,
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typename CDataType,
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typename ALayout,
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typename BLayout,
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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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using GemmShape = ck_tile::TileGemmShape<
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ck_tile::sequence<GemmConfig::M_Tile, GemmConfig::N_Tile, GemmConfig::K_Tile>,
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ck_tile::sequence<GemmConfig::M_Warp, GemmConfig::N_Warp, GemmConfig::K_Warp>,
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ck_tile::
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sequence<GemmConfig::M_Warp_Tile, GemmConfig::N_Warp_Tile, GemmConfig::K_Warp_Tile>,
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GemmConfig::PermuteA,
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GemmConfig::PermuteB>;
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using TilePartitioner =
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ck_tile::GemmSpatiallyLocalTilePartitioner<GemmShape,
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GemmConfig::TileParitionerGroupNum,
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GemmConfig::TileParitionerM01>;
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using Traits = ck_tile::TileGemmTraits<GemmConfig::kPadM,
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GemmConfig::kPadN,
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GemmConfig::kPadK,
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ALayout,
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BLayout,
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CLayout>;
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using GemmUniversalTraits = ck_tile::TileGemmUniversalTraits<GemmConfig::kPadM,
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GemmConfig::kPadN,
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GemmConfig::kPadK,
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GemmConfig::DoubleSmemBuffer,
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ALayout,
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BLayout,
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CLayout,
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GemmConfig::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 * GemmConfig::K_Tile;
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const ck_tile::index_t K_split = (args.K + k_grain - 1) / k_grain * GemmConfig::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 = GEMM_PIPELINE<UniversalGemmProblem>;
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using GemmEpilogue = ck_tile::CShuffleEpilogue<
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ck_tile::CShuffleEpilogueProblem<ADataType,
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BDataType,
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AccDataType,
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CDataType,
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CLayout,
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GemmPipelineProblem::kBlockSize,
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TilePartitioner::MPerBlock,
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TilePartitioner::NPerBlock,
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GemmConfig::M_Warp,
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GemmConfig::N_Warp,
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GemmConfig::M_Warp_Tile,
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GemmConfig::N_Warp_Tile,
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GemmConfig::K_Warp_Tile,
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UniversalGemmProblem::TransposeC>>;
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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(s,
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ck_tile::make_kernel<blocks.x, GemmConfig::kBlockPerCu>(
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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_V3)
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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 if(tail_num == ck_tile::TailNumber::Odd)
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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::Odd>{});
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}
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else if(tail_num == ck_tile::TailNumber::Even)
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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::Even>{});
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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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#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V4)
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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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else
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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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#endif
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}
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else
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{
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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 if(tail_num == ck_tile::TailNumber::Odd)
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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::Odd>{});
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}
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else if(tail_num == ck_tile::TailNumber::Even)
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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::Odd>{});
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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 << "Num K loop must be larger than number of prefetech stages."
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<< "\n 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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template <typename APrecType, typename BPrecType = APrecType, typename CPrecType = APrecType>
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int run_gemm_example_prec_type(std::string a_layout, std::string b_layout, int argc, char* argv[])
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{
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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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if constexpr(std::is_same_v<BPrecType, ck_tile::pk_int4_t>)
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{
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if(a_layout == "R" && b_layout == "C")
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{
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return run_gemm_example_with_layouts<APrecType, BPrecType, CPrecType>(
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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<APrecType, BPrecType, CPrecType>(
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argc, argv, Col{}, Col{}, Row{});
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}
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else
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{
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throw std::runtime_error("Unsupported memory layout for the input matrices when "
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"BPrecType is ck_tile::pk_int4_t!");
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}
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}
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else
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{
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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<APrecType, BPrecType, CPrecType>(
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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<APrecType, BPrecType, CPrecType>(
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argc, argv, Row{}, 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<APrecType, BPrecType, CPrecType>(
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argc, argv, Col{}, Row{}, 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<APrecType, BPrecType, CPrecType>(
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argc, argv, Col{}, Col{}, Row{});
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}
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else
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{
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throw std::runtime_error("Unsupported memory layout for the input matrices!");
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}
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}
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}
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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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std::string data_type = arg_parser.get_str("prec");
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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(data_type == "fp16")
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{
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return run_gemm_example_prec_type<ck_tile::half_t>(a_layout, b_layout, argc, argv);
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}
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else if(data_type == "bf16")
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{
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return run_gemm_example_prec_type<ck_tile::bf16_t>(a_layout, b_layout, argc, argv);
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}
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else if(data_type == "fp8")
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{
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return run_gemm_example_prec_type<ck_tile::fp8_t, ck_tile::fp8_t, ck_tile::half_t>(
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a_layout, b_layout, argc, argv);
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}
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else if(data_type == "bf8")
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{
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return run_gemm_example_prec_type<ck_tile::bf8_t, ck_tile::bf8_t, ck_tile::half_t>(
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a_layout, b_layout, argc, argv);
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}
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#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V3)
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else if(data_type == "pk_int4_t")
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{
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// TODO: Add support for bhalf_t ADataType
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return run_gemm_example_prec_type<ck_tile::half_t, ck_tile::pk_int4_t, ck_tile::half_t>(
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a_layout, b_layout, argc, argv);
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}
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#endif
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else
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{
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throw std::runtime_error("Unsupported data type for this operation !!!");
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}
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}
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int main(int argc, char* argv[])
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{
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try
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{
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run_gemm_example(argc, argv);
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}
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catch(const std::runtime_error& e)
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{
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std::cerr << "Caught runtime error: " << e.what() << '\n';
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// Return a non-zero code to indicate failure
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return EXIT_FAILURE;
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}
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return EXIT_SUCCESS;
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}
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