mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-03 21:21:22 +00:00
merge flatmm pipe v0 from dteng_flatmm_opt
This commit is contained in:
valarLip
@@ -10,6 +10,7 @@
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#include "ck_tile/ops/flatmm/block/flatmm_sn_32x128x512_1x4x1_16x16x32_itl.hpp"
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#include "ck_tile/ops/flatmm/block/flatmm_uk_config.hpp"
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#include "ck_tile/ops/flatmm/kernel/flatmm_kernel.hpp"
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#include "ck_tile/ops/flatmm/pipeline/flatmm_pipeline_agmem_bgmem_creg_v0.hpp"
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#include "ck_tile/ops/flatmm/pipeline/flatmm_pipeline_agmem_bgmem_creg_v1.hpp"
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#include "ck_tile/ops/flatmm/pipeline/flatmm_pipeline_agmem_bgmem_creg_v1_policy.hpp"
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#include "ck_tile/ops/flatmm/pipeline/tile_flatmm_shape.hpp"
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@@ -0,0 +1,883 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include "ck_tile/core.hpp"
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#include "ck_tile/host/concat.hpp"
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#include "ck_tile/ops/flatmm/pipeline/flatmm_pipeline_agmem_bgmem_creg_v1_policy.hpp"
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namespace ck_tile {
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template <typename Problem>
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struct BaseFlatmmPipelineAGmemBGmemCRegV0
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{
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static constexpr index_t PrefetchStages = 2;
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CK_TILE_HOST static constexpr bool BlockHasHotloop(index_t num_loop)
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{
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return num_loop > PrefetchStages;
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}
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CK_TILE_HOST static constexpr TailNumber GetBlockLoopTailNum(index_t num_loop)
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{
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return num_loop % 2 == 0 ? TailNumber::Even : TailNumber::Odd;
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}
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template <typename RunFunction>
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CK_TILE_HOST_DEVICE static auto TailHandler(const RunFunction& run_func, bool, TailNumber tail_num)
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{
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if (TailNumber::Even == tail_num)
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{
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return run_func(bool_constant<true>{}, integral_constant<TailNumber, TailNumber::Even>{});
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}
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else if (TailNumber::Odd == tail_num)
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{
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return run_func(bool_constant<true>{}, integral_constant<TailNumber, TailNumber::Odd>{});
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}
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// assert(false);
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return run_func(bool_constant<true>{}, integral_constant<TailNumber, TailNumber::Empty>{});
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// return run_func(bool_constant<true>{}, integral_constant<TailNumber, TailNumber::Empty>{});
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}
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};
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template <typename Problem, typename PipelinePolicy = UniversalFlatmmPipelineAgBgCrPolicy>
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struct FlatmmPipelineAGmemBGmemCRegV0
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{
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using ADataType = remove_cvref_t<typename Problem::ADataType>;
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using BDataType = remove_cvref_t<typename Problem::BDataType>;
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using CDataType = remove_cvref_t<typename Problem::CDataType>;
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using BlockGemmShape = remove_cvref_t<typename Problem::BlockGemmShape>; // TileFlatmmShape
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using ALayout = remove_cvref_t<typename Problem::ALayout>;
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using BLayout = remove_cvref_t<typename Problem::BLayout>;
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using CLayout = remove_cvref_t<typename Problem::CLayout>;
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using BlockFlatmm =
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remove_cvref_t<decltype(PipelinePolicy::template GetBlockFlatmm<Problem>())>;
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static constexpr auto config = BlockFlatmm::BlockPolicy::template GetWarpGemmMWarpNWarp<Problem>();
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using WG = remove_cvref_t<decltype(config.template at<0>())>;
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static constexpr index_t BlockSize = Problem::kBlockSize;
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static constexpr index_t kMPerBlock = BlockGemmShape::kM;
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static constexpr index_t kNPerBlock = BlockGemmShape::kN;
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static constexpr index_t kKPerBlock = BlockGemmShape::kK;
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static constexpr index_t flatKPerWarp = BlockGemmShape::flatKPerWarp;
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static constexpr index_t flatNPerWarp = BlockGemmShape::flatNPerWarp;
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static constexpr index_t GetVectorSizeA() { return Problem::VectorSizeA; }
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static constexpr index_t GetVectorSizeB() { return Problem::VectorSizeB; }
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static constexpr index_t GetVectorSizeC() { return Problem::VectorSizeC; }
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static constexpr bool kPadM = Problem::kPadM;
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static constexpr bool kPadN = Problem::kPadN;
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static constexpr bool kPadK = Problem::kPadK;
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static constexpr index_t kLdsAlignmentInBytes = 16;
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static constexpr index_t NumWaveGroups = Problem::NumWaveGroups;
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static constexpr auto I0 = number<0>();
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static constexpr auto I1 = number<1>();
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static constexpr auto I2 = number<2>();
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static constexpr auto idxM = I0;
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static constexpr auto idxN = I1;
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static constexpr auto idxK = I2;
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using BlockTile = remove_cvref_t<typename BlockGemmShape::BlockTile>;
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using BlockWarps = remove_cvref_t<typename BlockGemmShape::BlockWarps>;
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using WarpTile = remove_cvref_t<typename BlockGemmShape::WarpTile>;
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static constexpr index_t MWarp = config.template at<1>();
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static constexpr index_t NWarp = config.template at<2>();
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static constexpr index_t MIterPerWarp = kMPerBlock / (MWarp * WG::kM);
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static constexpr index_t NIterPerWarp = kNPerBlock / (NWarp * WG::kN);
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static constexpr index_t KIterPerWarp = kKPerBlock / WG::kK;
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static constexpr index_t KFlatPerBlockPerIter = flatKPerWarp;
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static constexpr index_t NFlatPerBlockPerIter = flatNPerWarp;
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static constexpr index_t MPerBlockPerIter = kMPerBlock / MIterPerWarp;
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static constexpr index_t KPerBlockPerIter = kKPerBlock / KIterPerWarp;
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static constexpr index_t K1 = 16 / sizeof(ADataType);
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static constexpr index_t ACopyLoadNum = kMPerBlock * kKPerBlock / BlockSize / K1;
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static constexpr index_t ACopyLoadNumPerK = ACopyLoadNum / KIterPerWarp;
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static constexpr index_t AcopyPerLoadM = kMPerBlock / ACopyLoadNum;
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static constexpr index_t BloadGap = MIterPerWarp / 2;
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static constexpr bool HasHotLoop = Problem::HasHotLoop;
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static constexpr auto TailNum = Problem::TailNum;
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static constexpr auto warp_m = WarpTile::at(idxM);
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static constexpr auto warp_n = WarpTile::at(idxN);
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static constexpr auto warp_k = WarpTile::at(idxK);
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/*
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defined(USING_MFMA_16x16x32) && defined(ENABLE_FP8) // mi300 fp8 16c 0.5*K1
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defined(USING_MFMA_32x32x16) && defined(ENABLE_FP8) // mi300 fp8 32c 0.5*K1
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defined(USING_MFMA_16x16x16) && defined(ENABLE_FP16) // mi300 fp16 16c 0.5*K1
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defined(USING_MFMA_32x32x8) && defined(ENABLE_FP16) // mi300 fp16 32c 0.5*K1
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defined(USING_MFMA_16x16x128) && defined(ENABLE_FP8) // mi350 fp8 32c 2*K1
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defined(USING_MFMA_32x32x64) && defined(ENABLE_FP8) // mi350 fp8 64c 2*K1
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defined(USING_MFMA_16x16x32) && defined(ENABLE_FP16) // mi350 fp16 16c 1*K1
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defined(USING_MFMA_32x32x16) && defined(ENABLE_FP16) // mi350 fp16 32c 1*K1
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defined(USING_MFMA_16x16x128) && defined(ENABLE_FP4) // mi350 fp4 16c 1*K1
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defined(USING_MFMA_32x32x64) && defined(ENABLE_FP4) // mi350 fp4 32c 1*K1
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*/
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struct MfmaConfig
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{
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int mfma_per_wg;
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int dsread_per_wg;
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};
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static constexpr MfmaConfig GetMfmaConfig()
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{
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// K1 per Mfma = 0.5 cases: mfma_per_wg = 2, dsread_per_wg = 1
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if constexpr((warp_m == 16 && warp_n == 16 && warp_k == 32 &&
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std::is_same_v<ADataType, fp8_t>) ||
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(warp_m == 32 && warp_n == 32 && warp_k == 16 &&
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std::is_same_v<ADataType, fp8_t>) ||
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(warp_m == 16 && warp_n == 16 && warp_k == 16 &&
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std::is_same_v<ADataType, fp16_t>) ||
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(warp_m == 32 && warp_n == 32 && warp_k == 8 &&
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std::is_same_v<ADataType, fp16_t>))
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{
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return {2, 1};
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}
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// K1 per Mfma = 2 cases: mfma_per_wg = 1, dsread_per_wg = 2
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else if constexpr((warp_m == 16 && warp_n == 16 && warp_k == 128 &&
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std::is_same_v<ADataType, fp8_t>) ||
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(warp_m == 32 && warp_n == 32 && warp_k == 64 &&
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std::is_same_v<ADataType, fp8_t>))
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{
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return {1, 2};
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}
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// K1 per Mfma = 1 cases: mfma_per_wg = 1, dsread_per_wg = 1
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else if constexpr((warp_m == 16 && warp_n == 16 && warp_k == 32 &&
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std::is_same_v<ADataType, fp16_t>) ||
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(warp_m == 32 && warp_n == 32 && warp_k == 16 &&
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std::is_same_v<ADataType, fp16_t>) ||
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(warp_m == 16 && warp_n == 16 && warp_k == 128 /*&&
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std::is_same_v<ADataType, fp4_t> */) ||
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(warp_m == 32 && warp_n == 32 && warp_k == 64 /*&&
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std::is_same_v<ADataType, fp4_t> */))
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{
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return {1, 1};
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}
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// Default configuration
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else
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{
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return {1, 1};
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}
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}
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static constexpr auto mfma_config = GetMfmaConfig();
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static constexpr auto mfma_per_wg = mfma_config.mfma_per_wg;
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static constexpr auto dsread_per_wg = mfma_config.dsread_per_wg;
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[[nodiscard]] CK_TILE_HOST static const std::string GetName()
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{
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// clang-format off
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return concat('_', "pipeline_AGmemBGmemCRegV1",
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concat('x', kMPerBlock, kNPerBlock, kKPerBlock, BlockSize),
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concat('x', GetVectorSizeA(), GetVectorSizeB(), GetVectorSizeC()),
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concat('x', kPadM, kPadN, kPadK));
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// clang-format on
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}
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// For the basic gemm pipelien DoubleSmemBuffer set to be false naturally.
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static constexpr bool DoubleSmemBuffer = false;
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CK_TILE_HOST_DEVICE static constexpr auto TransposeC() { return Problem::TransposeC; }
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CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
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{
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return PipelinePolicy::template GetSmemSize<Problem>();
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}
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CK_TILE_HOST_DEVICE static constexpr auto HotLoopScheduler()
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{
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// Keypoint of pipeline optimize is workload balance in time
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// instruction schedule example(128X256X256, 1X4, 16X16X128):
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// Iter MNK MFMA ds_read ds_write A_load b_load
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// -1 M6N0: 57 - 8 - -
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// -1 M6N1: 58 1 - - -
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// -1 M6N2: 59 - - 7 -
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// -1 M6N3: 60 2 - - -
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// -1 M7N0: 61 - - - -
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// -1 M7N1: 62 3 - - -
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// -1 M7N2: 63 - - 8 -
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// -1 M7N3: 64 4 - - -
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// 0 M0N0K0: 1 - - - -
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// 0 M0N1: 2 5 - - 2
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// 0 M0N2: 3 - - - -
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// 0 M0N3: 4 6 - - -
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// 0 M1N0: 5 - - - -
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// 0 M1N1: 6 7 - - 4
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// 0 M1N2: 7 - - - -
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// 0 M1N3: 8 8 - - -
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// 0 M2N0: 9 - - - -
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// 0 M2N1: 10 9 - - 6
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// 0 M2N2: 11 - - - -
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// 0 M2N3: 12 10 - - -
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// 0 M3N0: 13 - 1 - -
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// 0 M3N1: 14 11 - - 8
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// 0 M3N2: 15 - - - -
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// 0 M3N3: 16 12 - - -
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// 0 M4N0: 17 - 2 - -
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// 0 M4N1: 18 13 - - -
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// 0 M4N2: 19 - - 1 -
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// 0 M4N3: 20 14 - - -
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// 0 M5N0: 21 - 3 - -
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// 0 M5N1: 22 15 - - -
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// 0 M5N2: 23 - - 2 -
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// 0 M5N3: 24 16 - - -
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// 0 M6N0: 25 - 4 - -
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// 0 M6N1: 26 17 - - -
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// 0 M6N2: 27 - - 3 -
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// 0 M6N3: 28 18 - - -
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// 0 M7N0: 29 - - - -
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// 0 M7N1: 30 19 - - -
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// 0 M7N2: 31 - - 4 -
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// 0 M7N3: 32 20 - - -
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// 0 M0N0K1: 33 - - - -
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// 0 M0N1: 34 21 - - 10
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// 0 M0N2: 35 - - - -
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// 0 M0N3: 36 22 - - -
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// 0 M1N0: 37 - - - -
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// 0 M1N1: 38 23 - - 12
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// 0 M1N2: 39 - - - -
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// 0 M1N3: 40 24 - - -
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// 0 M2N0: 41 - - - -
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// 0 M2N1: 42 25 - - 14
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// 0 M2N2: 43 - - - -
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// 0 M2N3: 44 26 - - -
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// 0 M3N0: 45 - 5 - -
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// 0 M3N1: 46 27 - - 16
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// 0 M3N2: 47 - - - -
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// 0 M3N3: 48 28 - - -
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// 0 M4N0: 49 - 6 - -
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// 0 M4N1: 50 29 - - -
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// 0 M4N2: 51 - - 5 -
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// 0 M4N3: 52 30 - - -
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// 0 M5N0: 53 - 7 - -
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// 0 M5N1: 54 31 - - -
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// 0 M5N2: 55 - - 6 -
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// 0 M5N3: 56 32 - - -
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// 0 M6N0: 57 - 8 - -
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// 0 M6N1: 58 1 - - -
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// 0 M6N2: 59 - - 7 -
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// 0 M6N3: 60 2 - - -
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// 0 M7N0: 61 - - - -
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// 0 M7N1: 62 3 - - -
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// 0 M7N2: 63 - - 8 -
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// 0 M7N3: 64 4 - - -
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#if 0
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constexpr auto dsread_num_perK = dsread_per_wg * MIterPerWarp;
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constexpr auto dswrite_num_perK = (dsread_num_perK + MWarp * NWarp - 1) / (MWarp * NWarp);
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constexpr auto dswrite_rep = (dswrite_num_perK + MIterPerWarp - 1) / MIterPerWarp;
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// index_t dsread_perM[MIterPerWarp];
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// index_t dswrite_perM[MIterPerWarp];
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index_t dsread_perM[MIterPerWarp];
|
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index_t dswrite_perM[MIterPerWarp];
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index_t load_perM[MIterPerWarp];
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constexpr int dswrite_inst = dswrite_num_perK;
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constexpr int NIter_num = NIterPerWarp*mfma_per_wg;
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#pragma unroll
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for(int i=0;i<MIterPerWarp;i++)
|
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{
|
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dsread_perM[i] = 2;
|
||||
if(i==0)
|
||||
{
|
||||
dswrite_perM[0] = (dswrite_inst - MIterPerWarp + 2) > 0 ? dswrite_inst - MIterPerWarp + 2 : 0;
|
||||
}
|
||||
else if(i==MIterPerWarp-1)
|
||||
{
|
||||
dswrite_perM[MIterPerWarp-1] = 0;
|
||||
}
|
||||
else
|
||||
{
|
||||
dswrite_perM[i] = (i + 2 - dswrite_inst) > 0 ? 1 : 0;
|
||||
}
|
||||
}
|
||||
|
||||
#pragma unroll
|
||||
for(int i=0;i<4;i++)
|
||||
{
|
||||
load_perM[i] = 2;
|
||||
}
|
||||
|
||||
#pragma unroll
|
||||
for(int i=4;i<8;i++)
|
||||
{
|
||||
load_perM[i] = 1;
|
||||
}
|
||||
|
||||
#pragma unroll
|
||||
for(int i=0;i<MIterPerWarp;i++)
|
||||
{
|
||||
int biger_num = dsread_perM[i] > load_perM[i] ? (dsread_perM[i] > dswrite_perM[i] ? dsread_perM[i] : dswrite_perM[i]) : (load_perM[i] > dswrite_perM[i] ? load_perM[i] : dswrite_perM[i]);
|
||||
int total_num = dsread_perM[i] + load_perM[i] + dswrite_perM[i];
|
||||
int gap = (total_num+NIter_num-1)/NIter_num;
|
||||
|
||||
index_t inst_order[MIterPerWarp*10];
|
||||
#pragma unroll
|
||||
for(int j=0;j<MIterPerWarp*10;j++)
|
||||
{
|
||||
inst_order[j] = 0;
|
||||
}
|
||||
|
||||
int index=0;
|
||||
#pragma unroll
|
||||
for(int j=0;j<biger_num;j++)
|
||||
{
|
||||
if(dswrite_perM[i]>j)
|
||||
{
|
||||
inst_order[index] = 1;
|
||||
index++;
|
||||
}
|
||||
if(load_perM[i]>j)
|
||||
{
|
||||
inst_order[index] = 2;
|
||||
index++;
|
||||
}
|
||||
if(dsread_perM[i]>j)
|
||||
{
|
||||
inst_order[index] = 3;
|
||||
index++;
|
||||
}
|
||||
}
|
||||
|
||||
#pragma unroll
|
||||
for(int j=0;j<NIter_num;j++)
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
#pragma unroll
|
||||
for(int m=0;m<gap;m++)
|
||||
{
|
||||
if(m%2==0)
|
||||
{
|
||||
if(inst_order[j+m*NIter_num]==1)
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x200, 1, 0); // DS write
|
||||
}
|
||||
if(inst_order[j+m*NIter_num]==2)
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
}
|
||||
if(inst_order[j+m*NIter_num]==3)
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
if(inst_order[(m+1)*NIter_num-1-j]==1)
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x200, 1, 0); // DS write
|
||||
}
|
||||
if(inst_order[(m+1)*NIter_num-1-j]==2)
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
}
|
||||
if(inst_order[(m+1)*NIter_num-1-j]==3)
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
#endif
|
||||
|
||||
if constexpr(kMPerBlock == 128 && kNPerBlock == 128 && kKPerBlock == 128)
|
||||
{
|
||||
constexpr index_t KPerLoad = Problem::VectorLoadSize / sizeof(ADataType);
|
||||
constexpr index_t A_Buffer_Load_Inst_Num = kMPerBlock * kKPerBlock / BlockSize / KPerLoad;
|
||||
constexpr index_t A_LDS_Read_Inst_Num = MIterPerWarp * KIterPerWarp;
|
||||
constexpr index_t B_Buffer_Load_Inst_Num = NIterPerWarp * KIterPerWarp;
|
||||
|
||||
static_for<0, A_LDS_Read_Inst_Num, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 2, 0); // MFMA
|
||||
});
|
||||
static_for<0, A_Buffer_Load_Inst_Num, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 2, 0); // MFMA
|
||||
});
|
||||
static_for<0, A_Buffer_Load_Inst_Num, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
__builtin_amdgcn_sched_group_barrier(0x200, 1, 0); // DS write
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 2, 0); // MFMA
|
||||
});
|
||||
static_for<0, B_Buffer_Load_Inst_Num, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 4, 0); // MFMA
|
||||
});
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
CK_TILE_HOST_DEVICE static constexpr auto TailHotLoopScheduler()
|
||||
{
|
||||
#if 0
|
||||
static_for<0, 2, 1>{}([&](auto j) {
|
||||
ignore = j;
|
||||
static_for<0, 3, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
});
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x200, 1, 0); // DS write
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
|
||||
static_for<0, 3, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x200, 1, 0); // DS write
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
});
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
});
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
#endif
|
||||
}
|
||||
|
||||
template <typename ADramBlockWindowTmp, typename BFlatBlockWindowTmp, typename AElementFunction>
|
||||
CK_TILE_HOST_DEVICE auto operator()(const ADramBlockWindowTmp& a_dram_block_window_tmp,
|
||||
const AElementFunction& a_element_func,
|
||||
const BFlatBlockWindowTmp& b_flat_dram_block_window_tmp,
|
||||
index_t num_loop,
|
||||
void* p_smem_ping,
|
||||
void* p_smem_pong) const
|
||||
{
|
||||
static_assert(
|
||||
std::is_same_v<ADataType, remove_cvref_t<typename ADramBlockWindowTmp::DataType>>,
|
||||
"wrong!");
|
||||
|
||||
static_assert(kMPerBlock == ADramBlockWindowTmp{}.get_window_lengths()[number<0>{}],
|
||||
"wrong!");
|
||||
static_assert(kKPerBlock == ADramBlockWindowTmp{}.get_window_lengths()[number<1>{}],
|
||||
"wrong!");
|
||||
|
||||
constexpr auto MIter_2nd_last = (MIterPerWarp >= 2) ? MIterPerWarp - 2 : MIterPerWarp - 1;
|
||||
const index_t iMWarp = get_warp_id() / NWarp;
|
||||
|
||||
using CWarpDstr = typename WG::CWarpDstr;
|
||||
using CWarpTensor = typename WG::CWarpTensor;
|
||||
|
||||
constexpr auto c_warp_y_lengths =
|
||||
to_sequence(CWarpDstr{}.get_ys_to_d_descriptor().get_lengths());
|
||||
constexpr auto c_warp_y_index_zeros = uniform_sequence_gen_t<CWarpDstr::NDimY, 0>{};
|
||||
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
|
||||
// A tile in LDS
|
||||
ADataType* p_a_lds_ping = static_cast<ADataType*>(p_smem_ping);
|
||||
ADataType* p_a_lds_pong = static_cast<ADataType*>(p_smem_pong);
|
||||
|
||||
constexpr auto a_lds_block_desc =
|
||||
PipelinePolicy::template MakeALdsBlockDescriptor<Problem>();
|
||||
|
||||
auto a_lds_block_ping = make_tensor_view<address_space_enum::lds>(p_a_lds_ping, a_lds_block_desc);
|
||||
auto a_lds_block_pong = make_tensor_view<address_space_enum::lds>(p_a_lds_pong, a_lds_block_desc);
|
||||
|
||||
// A DRAM tile window for load
|
||||
auto a_copy_dram_window =
|
||||
make_tile_window(a_dram_block_window_tmp.get_bottom_tensor_view(),
|
||||
make_tuple(number<kMPerBlock>{}, number<kKPerBlock>{}),
|
||||
a_dram_block_window_tmp.get_window_origin(),
|
||||
PipelinePolicy::template MakeADramTileDistribution<Problem>());
|
||||
|
||||
auto a_copy_lds_window_ping =
|
||||
make_tile_window(a_lds_block_ping,
|
||||
make_tuple(number<kMPerBlock>{}, number<kKPerBlock>{}),
|
||||
{0, 0},
|
||||
PipelinePolicy::template MakeADramTileDistribution<Problem>());
|
||||
|
||||
auto a_copy_lds_window_pong =
|
||||
make_tile_window(a_lds_block_pong,
|
||||
make_tuple(number<kMPerBlock>{}, number<kKPerBlock>{}),
|
||||
{0, 0},
|
||||
PipelinePolicy::template MakeADramTileDistribution<Problem>());
|
||||
|
||||
// ping-pong window for A LDS
|
||||
auto a_warp_window_ping_tmp = make_tile_window(
|
||||
a_lds_block_ping,
|
||||
make_tuple(number<WG::kM>{}, number<WG::kK>{}),
|
||||
{iMWarp * WG::kM, 0},
|
||||
make_static_tile_distribution(typename WG::AWarpDstrEncoding{}));
|
||||
|
||||
auto a_warp_window_pong_tmp = make_tile_window(
|
||||
a_lds_block_pong,
|
||||
make_tuple(number<WG::kM>{}, number<WG::kK>{}),
|
||||
{iMWarp * WG::kM, 0},
|
||||
make_static_tile_distribution(typename WG::AWarpDstrEncoding{}));
|
||||
|
||||
statically_indexed_array<
|
||||
statically_indexed_array<decltype(a_warp_window_ping_tmp), KIterPerWarp>,
|
||||
MIterPerWarp>
|
||||
a_warp_windows_ping;
|
||||
|
||||
statically_indexed_array<
|
||||
statically_indexed_array<decltype(a_warp_window_pong_tmp), KIterPerWarp>,
|
||||
MIterPerWarp>
|
||||
a_warp_windows_pong;
|
||||
|
||||
static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
a_warp_windows_ping(mIter)(kIter) = a_warp_window_ping_tmp;
|
||||
|
||||
move_tile_window(a_warp_windows_ping(mIter)(kIter),
|
||||
{mIter * MPerBlockPerIter, kIter * KPerBlockPerIter});
|
||||
});
|
||||
});
|
||||
|
||||
static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
a_warp_windows_pong(mIter)(kIter) = a_warp_window_pong_tmp;
|
||||
|
||||
move_tile_window(a_warp_windows_pong(mIter)(kIter),
|
||||
{mIter * MPerBlockPerIter, kIter * KPerBlockPerIter});
|
||||
});
|
||||
});
|
||||
|
||||
// Block GEMM
|
||||
auto block_flatmm = BlockFlatmm();
|
||||
// Acc register tile
|
||||
auto c_block_tile = block_flatmm.MakeCBlockTile();
|
||||
|
||||
// B flat DRAM window for load
|
||||
auto b_flat_distribution =
|
||||
PipelinePolicy::template MakeBFlatDramTileDistribution<Problem>();
|
||||
auto b_flat_dram_window = // tile_window_with_static_distribution
|
||||
make_tile_window(
|
||||
b_flat_dram_block_window_tmp.get_bottom_tensor_view(), // from kernel gemm_pad_views
|
||||
make_tuple(number<flatNPerWarp>{}, number<flatKPerWarp>{}),
|
||||
b_flat_dram_block_window_tmp.get_window_origin(),
|
||||
b_flat_distribution);
|
||||
|
||||
// pingpong buffer for B
|
||||
statically_indexed_array<
|
||||
statically_indexed_array<decltype(b_flat_dram_window), KIterPerWarp>,
|
||||
NIterPerWarp>
|
||||
b_flat_dram_windows;
|
||||
|
||||
statically_indexed_array<
|
||||
statically_indexed_array<decltype(load_tile(b_flat_dram_window)), KIterPerWarp>,
|
||||
NIterPerWarp>
|
||||
b_warp_tensor_ping;
|
||||
|
||||
statically_indexed_array<
|
||||
statically_indexed_array<decltype(load_tile(b_flat_dram_window)), KIterPerWarp>,
|
||||
NIterPerWarp>
|
||||
b_warp_tensor_pong;
|
||||
|
||||
|
||||
// Prefetch A0
|
||||
auto a_block_tile = load_tile(a_copy_dram_window);
|
||||
// move A window to next k
|
||||
move_tile_window(a_copy_dram_window, {0, kKPerBlock});
|
||||
|
||||
// prefetch B
|
||||
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
b_flat_dram_windows(nIter)(kIter) = b_flat_dram_window;
|
||||
|
||||
move_tile_window(b_flat_dram_windows(nIter)(kIter),
|
||||
{nIter * NFlatPerBlockPerIter, kIter * KFlatPerBlockPerIter});
|
||||
|
||||
b_warp_tensor_ping(nIter)(kIter) = load_tile(b_flat_dram_windows(nIter)(kIter));
|
||||
});
|
||||
});
|
||||
// move B window to next flat K
|
||||
move_tile_window(b_flat_dram_window, {0, BlockGemmShape::flatKPerBlock});
|
||||
|
||||
auto a_block_tile_tmp = tile_elementwise_in(a_element_func, a_block_tile);
|
||||
store_tile(a_copy_lds_window_ping, a_block_tile_tmp);
|
||||
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
|
||||
// Prefetch A1
|
||||
a_block_tile = load_tile(a_copy_dram_window);
|
||||
// move A window to next k
|
||||
move_tile_window(a_copy_dram_window, {0, kKPerBlock});
|
||||
|
||||
// initialize C
|
||||
tile_elementwise_inout([](auto& c) { c = 0; }, c_block_tile);
|
||||
|
||||
block_sync_lds();
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
|
||||
index_t iCounter = (num_loop - 1) / 2;
|
||||
while(iCounter > 0)
|
||||
{
|
||||
// prefetch B(2i+1)
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
|
||||
b_flat_dram_windows(nIter)(kIter) = b_flat_dram_window;
|
||||
|
||||
move_tile_window(b_flat_dram_windows(nIter)(kIter),
|
||||
{nIter * NFlatPerBlockPerIter, kIter * KFlatPerBlockPerIter});
|
||||
|
||||
b_warp_tensor_pong(nIter)(kIter) = load_tile(b_flat_dram_windows(nIter)(kIter));
|
||||
});
|
||||
});
|
||||
|
||||
// Prefill A(2i+1)
|
||||
a_block_tile_tmp = tile_elementwise_in(a_element_func, a_block_tile);
|
||||
store_tile(a_copy_lds_window_pong, a_block_tile_tmp);
|
||||
|
||||
// Prefetch A(2i+2)
|
||||
a_block_tile = load_tile(a_copy_dram_window);
|
||||
// move A window to next k
|
||||
move_tile_window(a_copy_dram_window, {0, kKPerBlock});
|
||||
|
||||
// GEMM 2i
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
|
||||
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
|
||||
// read C warp tensor from C block tensor
|
||||
CWarpTensor c_warp_tensor;
|
||||
|
||||
auto a_warp_tensor_ping = load_tile(a_warp_windows_ping(mIter)(kIter));
|
||||
|
||||
c_warp_tensor.get_thread_buffer() = c_block_tile.get_y_sliced_thread_data(
|
||||
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
|
||||
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths));
|
||||
|
||||
// warp GEMM
|
||||
WG{}(c_warp_tensor, a_warp_tensor_ping, b_warp_tensor_ping(nIter)(kIter));
|
||||
|
||||
// write C warp tensor into C block tensor
|
||||
c_block_tile.set_y_sliced_thread_data(
|
||||
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
|
||||
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths),
|
||||
c_warp_tensor.get_thread_buffer());
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
// move B window to next flat K
|
||||
move_tile_window(b_flat_dram_window, {0, BlockGemmShape::flatKPerBlock});
|
||||
block_sync_lds();
|
||||
|
||||
HotLoopScheduler();
|
||||
|
||||
//Next K
|
||||
// prefetch B(2i+2)
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
|
||||
b_flat_dram_windows(nIter)(kIter) = b_flat_dram_window;
|
||||
|
||||
move_tile_window(b_flat_dram_windows(nIter)(kIter),
|
||||
{nIter * NFlatPerBlockPerIter, kIter * KFlatPerBlockPerIter});
|
||||
|
||||
b_warp_tensor_ping(nIter)(kIter) = load_tile(b_flat_dram_windows(nIter)(kIter));
|
||||
});
|
||||
});
|
||||
|
||||
// Prefill A(2i+2)
|
||||
a_block_tile_tmp = tile_elementwise_in(a_element_func, a_block_tile);
|
||||
store_tile(a_copy_lds_window_ping, a_block_tile_tmp);
|
||||
|
||||
// Prefetch A(2i+3)
|
||||
a_block_tile = load_tile(a_copy_dram_window);
|
||||
// move A window to next k
|
||||
move_tile_window(a_copy_dram_window, {0, kKPerBlock});
|
||||
|
||||
// GEMM 2i+1
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
|
||||
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
|
||||
// read C warp tensor from C block tensor
|
||||
CWarpTensor c_warp_tensor;
|
||||
|
||||
auto a_warp_tensor_pong = load_tile(a_warp_windows_pong(mIter)(kIter));
|
||||
|
||||
c_warp_tensor.get_thread_buffer() = c_block_tile.get_y_sliced_thread_data(
|
||||
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
|
||||
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths));
|
||||
|
||||
// warp GEMM
|
||||
WG{}(c_warp_tensor, a_warp_tensor_pong, b_warp_tensor_pong(nIter)(kIter));
|
||||
|
||||
// write C warp tensor into C block tensor
|
||||
c_block_tile.set_y_sliced_thread_data(
|
||||
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
|
||||
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths),
|
||||
c_warp_tensor.get_thread_buffer());
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
// move B window to next flat K
|
||||
move_tile_window(b_flat_dram_window, {0, BlockGemmShape::flatKPerBlock});
|
||||
block_sync_lds();
|
||||
|
||||
HotLoopScheduler();
|
||||
|
||||
iCounter--;
|
||||
}
|
||||
|
||||
// tail
|
||||
if constexpr(TailNum == TailNumber::Even)
|
||||
{
|
||||
// prefetch B(loopK)
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
|
||||
b_flat_dram_windows(nIter)(kIter) = b_flat_dram_window;
|
||||
|
||||
move_tile_window(b_flat_dram_windows(nIter)(kIter),
|
||||
{nIter * NFlatPerBlockPerIter, kIter * KFlatPerBlockPerIter});
|
||||
|
||||
b_warp_tensor_pong(nIter)(kIter) = load_tile(b_flat_dram_windows(nIter)(kIter));
|
||||
});
|
||||
});
|
||||
|
||||
// Prefill A(loopK)
|
||||
a_block_tile_tmp = tile_elementwise_in(a_element_func, a_block_tile);
|
||||
store_tile(a_copy_lds_window_pong, a_block_tile_tmp);
|
||||
|
||||
// GEMM loopK-1
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
|
||||
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
|
||||
// read C warp tensor from C block tensor
|
||||
CWarpTensor c_warp_tensor;
|
||||
|
||||
auto a_warp_tensor_ping = load_tile(a_warp_windows_ping(mIter)(kIter));
|
||||
|
||||
c_warp_tensor.get_thread_buffer() = c_block_tile.get_y_sliced_thread_data(
|
||||
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
|
||||
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths));
|
||||
|
||||
// warp GEMM
|
||||
WG{}(c_warp_tensor, a_warp_tensor_ping, b_warp_tensor_ping(nIter)(kIter));
|
||||
|
||||
// write C warp tensor into C block tensor
|
||||
c_block_tile.set_y_sliced_thread_data(
|
||||
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
|
||||
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths),
|
||||
c_warp_tensor.get_thread_buffer());
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
block_sync_lds();
|
||||
TailHotLoopScheduler();
|
||||
|
||||
// GEMM loopK
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
|
||||
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
|
||||
// read C warp tensor from C block tensor
|
||||
CWarpTensor c_warp_tensor;
|
||||
|
||||
auto a_warp_tensor_pong = load_tile(a_warp_windows_pong(mIter)(kIter));
|
||||
|
||||
c_warp_tensor.get_thread_buffer() = c_block_tile.get_y_sliced_thread_data(
|
||||
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
|
||||
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths));
|
||||
|
||||
// warp GEMM
|
||||
WG{}(c_warp_tensor, a_warp_tensor_pong, b_warp_tensor_pong(nIter)(kIter));
|
||||
|
||||
// write C warp tensor into C block tensor
|
||||
c_block_tile.set_y_sliced_thread_data(
|
||||
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
|
||||
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths),
|
||||
c_warp_tensor.get_thread_buffer());
|
||||
});
|
||||
});
|
||||
});
|
||||
}
|
||||
else if constexpr(TailNum == TailNumber::Odd)
|
||||
{
|
||||
// GEMM loopK
|
||||
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
|
||||
static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
|
||||
// constexpr auto AwarpIter = (kIter * MIterPerWarp + mIter) % m_preload;
|
||||
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
|
||||
// read C warp tensor from C block tensor
|
||||
CWarpTensor c_warp_tensor;
|
||||
|
||||
auto a_warp_tensor_ping = load_tile(a_warp_windows_ping(mIter)(kIter));
|
||||
|
||||
c_warp_tensor.get_thread_buffer() = c_block_tile.get_y_sliced_thread_data(
|
||||
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
|
||||
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths));
|
||||
|
||||
// warp GEMM
|
||||
WG{}(c_warp_tensor, a_warp_tensor_ping, b_warp_tensor_ping(nIter)(kIter));
|
||||
|
||||
// write C warp tensor into C block tensor
|
||||
c_block_tile.set_y_sliced_thread_data(
|
||||
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
|
||||
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths),
|
||||
c_warp_tensor.get_thread_buffer());
|
||||
});
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
return c_block_tile;
|
||||
}
|
||||
|
||||
template <typename ADramBlockWindowTmp, typename BFlatBlockWindowTmp>
|
||||
CK_TILE_DEVICE auto operator()(const ADramBlockWindowTmp& a_dram_block_window_tmp,
|
||||
const BFlatBlockWindowTmp& b_flat_dram_block_window_tmp,
|
||||
index_t num_loop,
|
||||
void* p_smem_ping,
|
||||
void* p_smem_pong) const
|
||||
{
|
||||
return operator()(
|
||||
a_dram_block_window_tmp,
|
||||
[](const ADataType& a) { return a; },
|
||||
b_flat_dram_block_window_tmp,
|
||||
num_loop,
|
||||
p_smem_ping,
|
||||
p_smem_pong);
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace ck_tile
|
||||
Reference in New Issue
Block a user