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https://github.com/ROCm/composable_kernel.git
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199 lines
9.4 KiB
C++
199 lines
9.4 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include <functional>
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#include "gemm_utils.hpp"
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struct UniversalInvoker
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{
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template <typename GemmConfig,
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typename ADataType,
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typename BDataType,
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typename DsDataType,
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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 DsLayout,
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typename ELayout,
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bool Persistent,
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typename CDEElementWise>
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static float gemm(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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ELayout,
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GemmConfig::NumWaveGroups>;
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using GemmUniversalTraits =
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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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ELayout,
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GemmConfig::TransposeC,
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GemmConfig::UseStructuredSparsity,
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Persistent,
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GemmConfig::NumWaveGroups,
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GemmConfig::Preshuffle>;
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using GemmPipelineProblem =
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ck_tile::GemmPipelineProblem<ADataType, BDataType, AccDataType, GemmShape, Traits>;
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using BaseGemmPipeline = typename PipelineTypeTraits<
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GemmConfig::Pipeline>::template UniversalGemmPipeline<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_,
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const auto tail_number_,
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const auto memory_operation_) {
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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 = GemmConfig::Scheduler;
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constexpr auto memory_operation = memory_operation_.value;
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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 = typename PipelineTypeTraits<
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GemmConfig::Pipeline>::template GemmPipeline<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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DsDataType,
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AccDataType,
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CDataType,
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DsLayout,
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ELayout,
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CDEElementWise,
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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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memory_operation,
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GemmConfig::NumWaveGroups>>;
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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 = Persistent ? Kernel::MaxOccupancyGridSize(s)
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: Kernel::GridSize(args.M, args.N, args.k_batch);
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const 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: " << Kernel::GetName() << '\n'
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<< "shape: " << GemmShape::GetName() << '\n'
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<< "problem: " << UniversalGemmProblem::GetName() << '\n'
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<< "pipeline: " << GemmPipeline::GetName() << '\n'
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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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// Declare rotating_mem_ptr here so it stays in scope until it is needed
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std::unique_ptr<ck_tile::RotatingMemWrapper<ADataType, BDataType>> rotating_mem_ptr;
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std::function<void()> preprocess;
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auto clear_gemm_output = [&]() {
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if(args.k_batch > 1)
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hipGetErrorString(hipMemsetAsync(
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args.e_ptr, 0, args.M * args.N * sizeof(CDataType), s.stream_id_));
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};
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if(s.flush_cache_)
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{
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std::cout << "Flushing cache..." << std::endl;
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ck_tile::HostTensor<ADataType> a_m(ck_tile::host_tensor_descriptor(
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args.M, args.K, args.stride_A, is_row_major(ALayout{})));
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ck_tile::HostTensor<BDataType> b_n(ck_tile::host_tensor_descriptor(
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args.K, args.N, args.stride_B, is_row_major(BLayout{})));
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auto size_a_buffer = a_m.get_element_space_size_in_bytes();
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auto size_b_buffer = b_n.get_element_space_size_in_bytes();
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rotating_mem_ptr =
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std::make_unique<ck_tile::RotatingMemWrapper<ADataType, BDataType>>(
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kargs.as_ptr[0],
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kargs.bs_ptr[0],
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s.rotating_count_,
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size_a_buffer,
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size_b_buffer);
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rotating_mem_ptr->Print();
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preprocess = [&]() {
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ck_tile::flush_icache();
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rotating_mem_ptr->Next();
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clear_gemm_output();
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};
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}
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else
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{
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preprocess = clear_gemm_output;
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}
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ave_time = ck_tile::launch_kernel_time_mask(
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s,
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preprocess,
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ck_tile::make_kernel<GemmConfig::kBlockPerCu>(Kernel{}, grids, blocks, 0, kargs));
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return ave_time;
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};
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const auto RunSplitk = [&](const auto has_hot_loop_, const auto tail_number_) {
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if(args.k_batch == 1)
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{
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return Run(has_hot_loop_, tail_number_, MemoryOpSet{});
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}
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else
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{
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return Run(has_hot_loop_, tail_number_, MemoryOpAtomicAdd{});
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}
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};
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return ave_time = BaseGemmPipeline::TailHandler(RunSplitk, has_hot_loop, tail_num);
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}
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};
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