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[CK_TILE] Blockwise GEMM pipeline v6 - port of v5 from old CK (#2955)
* First checkpoint * Second checkpoint - hot loop scheduler * Third checkpoint - init main operator * Fourth checkpoint - main loop ready * Fifth checkpoint - main loop fix * Sixth checkpoint - ReadWritecompFunc * Seventh checkpoint - Tail finished * [CK_TILE] Blockwise gemm pipeline v5 complete * Working * Working fixes 2 * Rename v5 to v77 temporarily * Data type adjustment * Data type adjustment 2 * [CK_TILE] Blockwise Gemm pipeline v5 add tests * [CK_TILE] Fix calculation error * TEMP: check pipeline * Fix name to V6 * naming and documentation changes * WIP dump * Try fixing v1 * Failing tests v5 * Debugging * Changes v2 * F16 tests working great * Working BlockwiseGemmPipelineV5 as V6 * Cleanup and format * Merging changes part1 * [CK_TILE] Blockwise Gemm Pipeline Comp V5/V6 * Remove commented code * Fix gfx950 build issues * Fix file formatting * Review changes, more concat info, add bf16 bf8 tests * Fix formatting * Add bf16 and bf8 tests --------- Co-authored-by: Adam Osewski <Adam.Osewski@amd.com>
This commit is contained in:
aledudek
@@ -16,8 +16,9 @@
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#define CK_TILE_PIPELINE_MEMORY 2
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#define CK_TILE_PIPELINE_COMPUTE_V4 3
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#define CK_TILE_PIPELINE_COMPUTE_V5 4
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#define CK_TILE_PIPELINE_PRESHUFFLE_V1 5
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#define CK_TILE_PIPELINE_PRESHUFFLE_V2 6
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#define CK_TILE_PIPELINE_COMPUTE_V6 5
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#define CK_TILE_PIPELINE_PRESHUFFLE_V1 6
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#define CK_TILE_PIPELINE_PRESHUFFLE_V2 7
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template <typename PrecType, ck_tile::index_t M_Warp_Tile>
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constexpr ck_tile::index_t get_k_warp_tile()
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@@ -251,9 +252,29 @@ struct GemmConfigComputeV5 : public GemmConfigBase
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static constexpr ck_tile::index_t N_Warp_Tile = 32;
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static constexpr ck_tile::index_t K_Warp_Tile = get_k_warp_tile<PrecType, M_Warp_Tile>();
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static constexpr bool DoubleSmemBuffer = false;
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static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V5;
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static constexpr ck_tile::index_t NumWaNumWaveGroups = 2;
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static constexpr bool DoubleSmemBuffer = false;
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static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V5;
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static constexpr ck_tile::index_t NumWaveGroups = 2;
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};
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template <typename PrecType>
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struct GemmConfigComputeV6 : public GemmConfigBase
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{
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static constexpr ck_tile::index_t M_Tile = 256;
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static constexpr ck_tile::index_t N_Tile = 256;
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static constexpr ck_tile::index_t K_Tile = 32;
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static constexpr ck_tile::index_t M_Warp = 2;
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static constexpr ck_tile::index_t N_Warp = 2;
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static constexpr ck_tile::index_t K_Warp = 1;
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static constexpr ck_tile::index_t M_Warp_Tile = 32;
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static constexpr ck_tile::index_t N_Warp_Tile = 32;
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static constexpr ck_tile::index_t K_Warp_Tile = 16;
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static constexpr bool DoubleSmemBuffer = false;
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static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V6;
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static constexpr ck_tile::index_t NumWaveGroups = 1;
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};
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template <typename PrecType>
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@@ -484,6 +505,15 @@ struct PipelineTypeTraits<CK_TILE_PIPELINE_COMPUTE_V5>
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using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrCompV5<PipelineProblem>;
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};
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template <>
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struct PipelineTypeTraits<CK_TILE_PIPELINE_COMPUTE_V6>
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{
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template <typename PipelineProblem>
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using GemmPipeline = ck_tile::GemmPipelineAgBgCrCompV6<PipelineProblem>;
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template <typename PipelineProblem>
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using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrCompV6<PipelineProblem>;
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};
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template <>
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struct PipelineTypeTraits<CK_TILE_PIPELINE_PRESHUFFLE_V1>
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{
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@@ -44,6 +44,8 @@
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_comp_v4_default_policy.hpp"
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_comp_v5.hpp"
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_comp_v5_default_policy.hpp"
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_comp_v6.hpp"
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_comp_v6_default_policy.hpp"
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_mem.hpp"
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_scheduler.hpp"
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_agmem_bgmem_creg_v1.hpp"
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@@ -0,0 +1,770 @@
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// 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 "ck_tile/core.hpp"
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_scheduler.hpp"
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_base.hpp"
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#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_comp_v6_default_policy.hpp"
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namespace ck_tile {
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// A Tile Window: global memory
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// B Tile Window: global memory
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// C Distributed tensor: register
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template <typename Problem>
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struct BaseGemmPipelineAgBgCrCompV6
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{
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static constexpr index_t PrefetchStages = 3;
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static constexpr index_t PrefillStages = 1;
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static constexpr index_t GlobalBufferNum = 2;
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static constexpr index_t HotloopUnroll = 2;
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CK_TILE_HOST_DEVICE static constexpr auto TransposeC() { return Problem::TransposeC; }
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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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if(num_loop % HotloopUnroll == 1)
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{
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return TailNumber::Odd;
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}
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else
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{
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return TailNumber::Even;
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}
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}
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template <typename RunFunction>
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CK_TILE_HOST_DEVICE static auto
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TailHandler(const RunFunction& run_func, bool has_hot_loop, TailNumber tail_number)
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{
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// Handle all the valid cases.
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if(has_hot_loop)
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{
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if(tail_number == TailNumber::Odd)
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{
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return run_func(bool_constant<true>{},
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integral_constant<TailNumber, TailNumber::Odd>{});
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}
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else if(tail_number == TailNumber::Even)
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{
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return run_func(bool_constant<true>{},
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integral_constant<TailNumber, TailNumber::Even>{});
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}
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}
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else
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{
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if(tail_number == TailNumber::Odd)
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{
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return run_func(bool_constant<false>{},
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integral_constant<TailNumber, TailNumber::Odd>{});
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}
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else if(tail_number == TailNumber::Even)
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{
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return run_func(bool_constant<false>{},
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integral_constant<TailNumber, TailNumber::Even>{});
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}
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}
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// If execution reaches here, it's an invalid tail_number because it wasn't handled above.
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#if defined(__HIP_DEVICE_COMPILE__)
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__builtin_unreachable();
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#else
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throw std::logic_error("Invalid TailNumber: Only TailNumber::Odd and TailNumber::Even are "
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"supported in this pipeline context.");
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#endif
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}
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};
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// Compute optimized pipeline
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// GlobalPrefetchStages: 3
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// LocalPreFillStages: 1
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// LocalPreFetchStages: 1
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// LocalSharedMemoryBuffer: 2
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template <typename Problem, typename Policy = GemmPipelineAgBgCrCompV6DefaultPolicy>
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struct GemmPipelineAgBgCrCompV6 : public BaseGemmPipelineAgBgCrCompV6<Problem>
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{
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using Base = BaseGemmPipelineAgBgCrCompV6<Problem>;
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using BasePImpl = GemmPipelineAgBgCrImplBase<Problem, Policy>;
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using AsDataType = remove_cvref_t<typename Problem::AsDataTypeTuple>;
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using BsDataType = remove_cvref_t<typename Problem::BsDataTypeTuple>;
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using CDataType = remove_cvref_t<typename Problem::CDataType>;
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using BlockGemmShape = remove_cvref_t<typename Problem::BlockGemmShape>;
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using AElementWise = remove_cvref_t<typename Problem::AElementWise>;
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using BElementWise = remove_cvref_t<typename Problem::BElementWise>;
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using AsLayout = remove_cvref_t<typename Problem::AsLayoutTuple>;
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using BsLayout = remove_cvref_t<typename Problem::BsLayoutTuple>;
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using CLayout = remove_cvref_t<typename Problem::CLayout>;
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using ALayout = remove_cvref_t<std::tuple_element_t<0, AsLayout>>;
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using BLayout = remove_cvref_t<std::tuple_element_t<0, BsLayout>>;
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using ADataType = remove_cvref_t<std::tuple_element_t<0, AsDataType>>;
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using BDataType = remove_cvref_t<std::tuple_element_t<0, BsDataType>>;
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static_assert(!std::is_same_v<BDataType, pk_int4_t>, "Not implemented");
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static constexpr index_t APackedSize =
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ck_tile::numeric_traits<remove_cvref_t<ADataType>>::PackedSize;
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static constexpr index_t BPackedSize =
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ck_tile::numeric_traits<remove_cvref_t<BDataType>>::PackedSize;
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static constexpr index_t NumWaveGroups = Problem::NumWaveGroups;
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using BlockGemm = remove_cvref_t<decltype(Policy::template GetBlockGemm<Problem>())>;
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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 index_t BlockSize = Problem::kBlockSize;
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static constexpr index_t MPerBlock = BlockGemmShape::kM;
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static constexpr index_t NPerBlock = BlockGemmShape::kN;
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static constexpr index_t KPerBlock = BlockGemmShape::kK;
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template <bool IsWave32Host = false>
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static constexpr index_t GetVectorSizeA()
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{
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return Policy::template GetVectorSizeA<Problem, IsWave32Host>();
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}
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template <bool IsWave32Host = false>
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static constexpr index_t GetVectorSizeB()
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{
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return Policy::template GetVectorSizeB<Problem, IsWave32Host>();
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}
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static constexpr index_t GetVectorSizeC() { return Policy::template GetVectorSizeC<Problem>(); }
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static constexpr index_t GetSmemPackA() { return Policy::template GetSmemPackA<Problem>(); }
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static constexpr index_t GetSmemPackB() { return Policy::template GetSmemPackB<Problem>(); }
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static constexpr index_t KRepeat = BlockGemm::WarpGemm::kKPerThread / GetSmemPackA();
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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 bool DoubleSmemBuffer = Problem::DoubleSmemBuffer;
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static constexpr index_t Preshuffle = Problem::Preshuffle;
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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 Scheduler = Problem::Scheduler;
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static constexpr auto is_a_load_tr_v = bool_constant<BasePImpl::is_a_load_tr>{};
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static constexpr auto is_b_load_tr_v = bool_constant<BasePImpl::is_b_load_tr>{};
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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_AgBgCrCompV6", BlockSize,
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concat('x', GetVectorSizeA(), GetVectorSizeB(), GetVectorSizeC()),
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concat('x', kPadM, kPadN, kPadK),
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concat('x', TailNum),
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concat('_', KRepeat),
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concat('_', DoubleSmemBuffer),
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concat('_', Preshuffle),
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concat('_', HasHotLoop));
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// clang-format on
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}
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CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
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{
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return Policy::template GetSmemSize<Problem>();
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}
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CK_TILE_HOST_DEVICE static constexpr auto IsTransposeC()
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{
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return Policy::template IsTransposeC<Problem>();
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}
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template <GemmPipelineScheduler Scheduler>
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struct PipelineImpl : public BasePImpl
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{
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};
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template <>
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struct PipelineImpl<GemmPipelineScheduler::Intrawave> : public BasePImpl
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{
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CK_TILE_DEVICE static constexpr auto HotLoopScheduler()
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{
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constexpr index_t MPerXDL = BlockGemmShape::WarpTile::at(I0);
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constexpr index_t NPerXDL = BlockGemmShape::WarpTile::at(I1);
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constexpr index_t KPerXDL = BlockGemmShape::WarpTile::at(I2);
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constexpr index_t WaveSize = 64;
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constexpr index_t WaveNumM = BlockGemmShape::BlockWarps::at(I0);
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constexpr index_t WaveNumN = BlockGemmShape::BlockWarps::at(I1);
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constexpr index_t A_LDS_Read_Width = KPerXDL;
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constexpr index_t B_LDS_Read_Width = KPerXDL;
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constexpr index_t A_Buffer_Load_Inst_Num =
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MPerBlock * KPerBlock / (BlockSize * GetVectorSizeA());
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constexpr index_t B_Buffer_Load_Inst_Num =
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NPerBlock * KPerBlock / (BlockSize * GetVectorSizeB());
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constexpr index_t A_LDS_Write_Inst_Num = MPerBlock * KPerBlock / (BlockSize * KPerXDL);
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constexpr index_t B_LDS_Write_Inst_Num = NPerBlock * KPerBlock / (BlockSize * KPerXDL);
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constexpr index_t A_LDS_Read_Inst_Num =
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WaveNumN * MPerBlock * KPerBlock / (BlockSize * KPerXDL);
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constexpr index_t B_LDS_Read_Inst_Num =
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WaveNumM * NPerBlock * KPerBlock / (BlockSize * KPerXDL);
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constexpr index_t C_MFMA_Inst_Num = MPerBlock * NPerBlock * KPerBlock /
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(BlockSize / WaveSize) /
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(MPerXDL * NPerXDL * KPerXDL);
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constexpr auto num_ds_read_inst_a =
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A_LDS_Read_Width * sizeof(ADataType) / APackedSize == 16 ? A_LDS_Read_Inst_Num
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: A_LDS_Read_Inst_Num / 2;
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constexpr auto num_ds_read_inst_b =
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B_LDS_Read_Width * sizeof(BDataType) / BPackedSize == 16 ? B_LDS_Read_Inst_Num
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: B_LDS_Read_Inst_Num / 2;
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constexpr auto mfma_cycle = NPerXDL == 16 ? 16 : 32;
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constexpr auto ds_read_a_issue_cycle =
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A_LDS_Read_Width * sizeof(ADataType) / APackedSize == 16 ? 8 : 4;
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constexpr auto ds_read_b_issue_cycle =
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B_LDS_Read_Width * sizeof(BDataType) / BPackedSize == 16 ? 8 : 4;
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constexpr auto ds_read_a_mfma_rate =
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(mfma_cycle - 4 + 2 * ds_read_a_issue_cycle - 1) / (2 * ds_read_a_issue_cycle);
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constexpr auto ds_read_b_mfma_rate =
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(mfma_cycle - 4 + 2 * ds_read_b_issue_cycle - 1) / (2 * ds_read_b_issue_cycle);
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constexpr auto num_dsread_stage1_a = num_ds_read_inst_a / KRepeat * (KRepeat - 1);
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constexpr auto num_dsread_stage1_b = num_ds_read_inst_b / KRepeat * (KRepeat - 1);
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constexpr auto num_dsread_stage3_a = num_ds_read_inst_a / KRepeat;
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constexpr auto num_dsread_stage3_b = num_ds_read_inst_b / KRepeat;
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constexpr auto num_dsread_stage1_a_mfma =
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(num_dsread_stage1_a + ds_read_a_mfma_rate - 1) / ds_read_a_mfma_rate;
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constexpr auto num_dsread_stage1_b_mfma =
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(num_dsread_stage1_b + ds_read_b_mfma_rate - 1) / ds_read_b_mfma_rate;
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constexpr auto num_dsread_stage3_a_mfma =
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(num_dsread_stage3_a + ds_read_a_mfma_rate - 1) / ds_read_a_mfma_rate;
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constexpr auto num_dsread_stage3_b_mfma =
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(num_dsread_stage3_b + ds_read_b_mfma_rate - 1) / ds_read_b_mfma_rate;
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constexpr auto num_mfma_stage2 = C_MFMA_Inst_Num -
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num_ds_read_inst_a / ds_read_a_mfma_rate -
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num_ds_read_inst_b / ds_read_b_mfma_rate;
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constexpr auto num_mfma_per_issue =
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num_mfma_stage2 / (A_Buffer_Load_Inst_Num + B_Buffer_Load_Inst_Num);
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constexpr auto num_dswrite_per_issue_a = A_LDS_Write_Inst_Num / A_Buffer_Load_Inst_Num;
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constexpr auto num_dswrite_per_issue_b = B_LDS_Write_Inst_Num / B_Buffer_Load_Inst_Num;
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// stage 1
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static_for<0, num_dsread_stage1_a_mfma, 1>{}([&](auto i) {
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ignore = i;
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if constexpr((num_dsread_stage1_a - (i + 1) * ds_read_a_mfma_rate) >=
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ds_read_a_mfma_rate)
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{
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__builtin_amdgcn_sched_group_barrier(0x100, ds_read_a_mfma_rate, 0); // DS read
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}
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else
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{
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__builtin_amdgcn_sched_group_barrier(
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0x100,
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num_dsread_stage1_a - (num_dsread_stage1_a_mfma - 1) * ds_read_a_mfma_rate,
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0); // DS read
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}
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__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
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});
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static_for<0, num_dsread_stage1_b_mfma, 1>{}([&](auto i) {
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ignore = i;
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if constexpr((num_dsread_stage1_b - (i + 1) * ds_read_b_mfma_rate) >=
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ds_read_b_mfma_rate)
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{
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__builtin_amdgcn_sched_group_barrier(0x100, ds_read_b_mfma_rate, 0); // DS read
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}
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else
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{
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__builtin_amdgcn_sched_group_barrier(
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0x100,
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num_dsread_stage1_b - (num_dsread_stage1_b_mfma - 1) * ds_read_b_mfma_rate,
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||||
0); // DS read
|
||||
}
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
});
|
||||
|
||||
// stage 2
|
||||
static_for<0, A_Buffer_Load_Inst_Num, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
static_for<0, num_dswrite_per_issue_a, 1>{}([&](auto idswrite) {
|
||||
ignore = idswrite;
|
||||
__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, num_mfma_per_issue - num_dswrite_per_issue_a, 0); // MFMA
|
||||
});
|
||||
static_for<0, B_Buffer_Load_Inst_Num, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
static_for<0, num_dswrite_per_issue_b, 1>{}([&](auto idswrite) {
|
||||
ignore = idswrite;
|
||||
__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, num_mfma_per_issue - num_dswrite_per_issue_b, 0); // MFMA
|
||||
});
|
||||
|
||||
// stage 3
|
||||
static_for<0, num_dsread_stage3_a_mfma, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
if constexpr((num_dsread_stage3_a - (i + 1) * ds_read_a_mfma_rate) >=
|
||||
ds_read_a_mfma_rate)
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, ds_read_a_mfma_rate, 0); // DS read
|
||||
}
|
||||
else
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(
|
||||
0x100,
|
||||
num_dsread_stage3_a - (num_dsread_stage3_a_mfma - 1) * ds_read_a_mfma_rate,
|
||||
0); // DS read
|
||||
}
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
});
|
||||
static_for<0, num_dsread_stage3_b_mfma, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
if constexpr((num_dsread_stage3_b - (i + 1) * ds_read_b_mfma_rate) >=
|
||||
ds_read_b_mfma_rate)
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, ds_read_b_mfma_rate, 0); // DS read
|
||||
}
|
||||
else
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(
|
||||
0x100,
|
||||
num_dsread_stage3_b - (num_dsread_stage3_b_mfma - 1) * ds_read_b_mfma_rate,
|
||||
0); // DS read
|
||||
}
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
});
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
}
|
||||
|
||||
template <bool HasHotLoop,
|
||||
TailNumber TailNum,
|
||||
typename AsDramBlockWindowTmp,
|
||||
typename BsDramBlockWindowTmp,
|
||||
typename AElementFunction,
|
||||
typename BElementFunction,
|
||||
typename std::enable_if_t<is_detected<is_tuple, AsDramBlockWindowTmp>::value &&
|
||||
is_detected<is_tuple, BsDramBlockWindowTmp>::value,
|
||||
bool>* = nullptr>
|
||||
CK_TILE_DEVICE auto operator()(const AsDramBlockWindowTmp& a_dram_block_window_tmp,
|
||||
const AElementFunction& a_element_func,
|
||||
const BsDramBlockWindowTmp& b_dram_block_window_tmp,
|
||||
const BElementFunction& b_element_func,
|
||||
index_t num_loop,
|
||||
void* __restrict__ p_smem) const
|
||||
{
|
||||
// TODO: Add Multi A/B support
|
||||
static_assert(std::tuple_size<remove_cvref_t<AsDramBlockWindowTmp>>::value == 1,
|
||||
"Multi A/B is not yet supported for this pipeline.");
|
||||
static_assert(std::tuple_size<remove_cvref_t<BsDramBlockWindowTmp>>::value == 1,
|
||||
"Multi A/B is not yet supported for this pipeline.");
|
||||
|
||||
using ADramBlockWindowTmp =
|
||||
remove_cvref_t<std::tuple_element_t<number<0>{}, AsDramBlockWindowTmp>>;
|
||||
using BDramBlockWindowTmp =
|
||||
remove_cvref_t<std::tuple_element_t<number<0>{}, BsDramBlockWindowTmp>>;
|
||||
static_assert(
|
||||
std::is_same_v<ADataType, remove_cvref_t<typename ADramBlockWindowTmp::DataType>> &&
|
||||
std::is_same_v<BDataType,
|
||||
remove_cvref_t<typename BDramBlockWindowTmp::DataType>>,
|
||||
"Data Type conflict on A and B matrix input data type.");
|
||||
|
||||
constexpr bool is_a_col_major =
|
||||
std::is_same_v<ALayout, tensor_layout::gemm::ColumnMajor>;
|
||||
constexpr bool is_b_row_major = std::is_same_v<BLayout, tensor_layout::gemm::RowMajor>;
|
||||
|
||||
static_assert(is_a_col_major
|
||||
? (KPerBlock == ADramBlockWindowTmp{}.get_window_lengths()[I0] &&
|
||||
MPerBlock == ADramBlockWindowTmp{}.get_window_lengths()[I1])
|
||||
: (MPerBlock == ADramBlockWindowTmp{}.get_window_lengths()[I0] &&
|
||||
KPerBlock == ADramBlockWindowTmp{}.get_window_lengths()[I1]),
|
||||
"A block window has incorrect lengths for defined ALayout!");
|
||||
static_assert(is_b_row_major
|
||||
? (KPerBlock == BDramBlockWindowTmp{}.get_window_lengths()[I0] &&
|
||||
NPerBlock == BDramBlockWindowTmp{}.get_window_lengths()[I1])
|
||||
: (NPerBlock == BDramBlockWindowTmp{}.get_window_lengths()[I0] &&
|
||||
KPerBlock == BDramBlockWindowTmp{}.get_window_lengths()[I1]),
|
||||
"B block window has incorrect lengths for defined BLayout!");
|
||||
|
||||
////////////// LDS desc, window & register /////////////////
|
||||
using ALdsType =
|
||||
remove_cvref_t<decltype(BasePImpl::GetABLdsTensorViews(p_smem).at(I0))>;
|
||||
using BLdsType =
|
||||
remove_cvref_t<decltype(BasePImpl::GetABLdsTensorViews(p_smem).at(I1))>;
|
||||
auto&& ABLdsTensorViews = BasePImpl::GetABLdsTensorViews(p_smem);
|
||||
ALdsType& a_lds_block = ABLdsTensorViews.at(I0);
|
||||
BLdsType& b_lds_block = ABLdsTensorViews.at(I1);
|
||||
|
||||
// Tile distribution for load from lds
|
||||
constexpr auto a_lds_load_tile_distr =
|
||||
make_static_tile_distribution(BlockGemm::MakeABlockDistributionEncode());
|
||||
constexpr auto b_lds_load_tile_distr =
|
||||
make_static_tile_distribution(BlockGemm::MakeBBlockDistributionEncode());
|
||||
|
||||
using acopy_dram_type =
|
||||
remove_cvref_t<decltype(BasePImpl::GetAWindows(a_dram_block_window_tmp,
|
||||
a_lds_block,
|
||||
a_lds_load_tile_distr)
|
||||
.at(I0))>;
|
||||
using bcopy_dram_type =
|
||||
remove_cvref_t<decltype(BasePImpl::GetBWindows(b_dram_block_window_tmp,
|
||||
b_lds_block,
|
||||
b_lds_load_tile_distr)
|
||||
.at(I0))>;
|
||||
|
||||
using a_copy_lds_window_type =
|
||||
remove_cvref_t<decltype(BasePImpl::GetAWindows(a_dram_block_window_tmp,
|
||||
a_lds_block,
|
||||
a_lds_load_tile_distr)
|
||||
.at(I1))>;
|
||||
using b_copy_lds_window_type =
|
||||
remove_cvref_t<decltype(BasePImpl::GetBWindows(b_dram_block_window_tmp,
|
||||
b_lds_block,
|
||||
b_lds_load_tile_distr)
|
||||
.at(I1))>;
|
||||
|
||||
using a_lds_load_tile_distr_type =
|
||||
remove_cvref_t<decltype(BasePImpl::GetAWindows(a_dram_block_window_tmp,
|
||||
a_lds_block,
|
||||
a_lds_load_tile_distr)
|
||||
.at(I2))>;
|
||||
using b_lds_load_tile_distr_type =
|
||||
remove_cvref_t<decltype(BasePImpl::GetBWindows(b_dram_block_window_tmp,
|
||||
b_lds_block,
|
||||
b_lds_load_tile_distr)
|
||||
.at(I2))>;
|
||||
|
||||
auto&& aWindows =
|
||||
BasePImpl::GetAWindows(a_dram_block_window_tmp, a_lds_block, a_lds_load_tile_distr);
|
||||
auto&& bWindows =
|
||||
BasePImpl::GetBWindows(b_dram_block_window_tmp, b_lds_block, b_lds_load_tile_distr);
|
||||
|
||||
// A DRAM tile window for load
|
||||
// A LDS tile window for store
|
||||
// A LDS tile for block GEMM
|
||||
acopy_dram_type& a_copy_dram_window = aWindows.at(I0);
|
||||
a_copy_lds_window_type& a_copy_lds_window = aWindows.at(I1);
|
||||
a_lds_load_tile_distr_type& a_lds_gemm_window = aWindows.at(I2);
|
||||
|
||||
// B DRAM tile window for load
|
||||
// B LDS tile window for store
|
||||
// B LDS tile for block GEMM
|
||||
bcopy_dram_type& b_copy_dram_window = bWindows.at(I0);
|
||||
b_copy_lds_window_type& b_copy_lds_window = bWindows.at(I1);
|
||||
b_lds_load_tile_distr_type& b_lds_gemm_window = bWindows.at(I2);
|
||||
|
||||
// Block GEMM
|
||||
auto block_gemm = BlockGemm();
|
||||
auto c_block_tile = block_gemm.MakeCBlockTile();
|
||||
|
||||
using ABlockTileDistr =
|
||||
decltype(a_copy_dram_window[number<0>{}].get_tile_distribution());
|
||||
using BBlockTileDistr =
|
||||
decltype(b_copy_dram_window[number<0>{}].get_tile_distribution());
|
||||
|
||||
using ABlockTile =
|
||||
decltype(make_static_distributed_tensor<ADataType>(ABlockTileDistr{}));
|
||||
using BBlockTile =
|
||||
decltype(make_static_distributed_tensor<BDataType>(BBlockTileDistr{}));
|
||||
|
||||
ABlockTile a_block_tile[Base::GlobalBufferNum];
|
||||
BBlockTile b_block_tile[Base::GlobalBufferNum];
|
||||
|
||||
using ADramTileWindowStep = typename ADramBlockWindowTmp::BottomTensorIndex;
|
||||
using BDramTileWindowStep = typename BDramBlockWindowTmp::BottomTensorIndex;
|
||||
|
||||
constexpr ADramTileWindowStep a_dram_tile_window_step =
|
||||
is_a_col_major ? make_array(KPerBlock, 0) : make_array(0, KPerBlock);
|
||||
constexpr BDramTileWindowStep b_dram_tile_window_step =
|
||||
is_b_row_major ? make_array(KPerBlock, 0) : make_array(0, KPerBlock);
|
||||
|
||||
constexpr auto ALdsTileDistr = decltype(make_static_tile_distribution(
|
||||
BlockGemm::MakeABlockDistributionEncode())){};
|
||||
constexpr auto BLdsTileDistr = decltype(make_static_tile_distribution(
|
||||
BlockGemm::MakeBBlockDistributionEncode())){};
|
||||
|
||||
using ALdsTile = decltype(make_static_distributed_tensor<ADataType>(ALdsTileDistr));
|
||||
using BLdsTile = decltype(make_static_distributed_tensor<BDataType>(BLdsTileDistr));
|
||||
|
||||
ALdsTile a_lds_tile;
|
||||
BLdsTile b_lds_tile;
|
||||
// -----------------------------------------------------------------------------------------
|
||||
// Gemm pipeline start
|
||||
|
||||
// Global prefetch 1
|
||||
a_block_tile[I0] = load_tile_with_elementwise(a_copy_dram_window, a_element_func);
|
||||
move_tile_window(a_copy_dram_window, a_dram_tile_window_step);
|
||||
b_block_tile[I0] = load_tile_with_elementwise(b_copy_dram_window, b_element_func);
|
||||
move_tile_window(b_copy_dram_window, b_dram_tile_window_step);
|
||||
|
||||
// initialize C
|
||||
tile_elementwise_inout([](auto& c) { c = 0; }, c_block_tile);
|
||||
|
||||
// Local prefill 1
|
||||
if constexpr(is_a_col_major && !is_a_load_tr_v())
|
||||
{
|
||||
auto a_shuffle_tmp = make_static_distributed_tensor<ADataType>(
|
||||
Policy::template MakeShuffledARegTileDistribution<Problem>());
|
||||
transpose_tile2d(a_shuffle_tmp, a_block_tile[I0]);
|
||||
BasePImpl::LocalPrefill(a_copy_lds_window, a_shuffle_tmp);
|
||||
}
|
||||
else
|
||||
{
|
||||
BasePImpl::LocalPrefill(a_copy_lds_window, a_block_tile[I0]);
|
||||
}
|
||||
if constexpr(is_b_row_major && !is_b_load_tr_v())
|
||||
{
|
||||
auto b_shuffle_tmp = make_static_distributed_tensor<BDataType>(
|
||||
Policy::template MakeShuffledBRegTileDistribution<Problem>());
|
||||
transpose_tile2d(b_shuffle_tmp, b_block_tile[I0]);
|
||||
BasePImpl::LocalPrefill(b_copy_lds_window, b_shuffle_tmp);
|
||||
}
|
||||
else
|
||||
{
|
||||
BasePImpl::LocalPrefill(b_copy_lds_window, b_block_tile[I0]);
|
||||
}
|
||||
|
||||
// Global prefetch 2
|
||||
a_block_tile[I0] = load_tile_with_elementwise(a_copy_dram_window, a_element_func);
|
||||
move_tile_window(a_copy_dram_window, a_dram_tile_window_step);
|
||||
b_block_tile[I0] = load_tile_with_elementwise(b_copy_dram_window, b_element_func);
|
||||
move_tile_window(b_copy_dram_window, b_dram_tile_window_step);
|
||||
|
||||
// Global prefetch 3
|
||||
a_block_tile[I1] = load_tile_with_elementwise(a_copy_dram_window, a_element_func);
|
||||
move_tile_window(a_copy_dram_window, a_dram_tile_window_step);
|
||||
b_block_tile[I1] = load_tile_with_elementwise(b_copy_dram_window, b_element_func);
|
||||
move_tile_window(b_copy_dram_window, b_dram_tile_window_step);
|
||||
|
||||
block_sync_lds();
|
||||
|
||||
// Local prefetch 1
|
||||
BasePImpl::LocalPrefetch(a_lds_tile, a_lds_gemm_window, is_a_load_tr_v);
|
||||
BasePImpl::LocalPrefetch(b_lds_tile, b_lds_gemm_window, is_b_load_tr_v);
|
||||
|
||||
if(HasHotLoop)
|
||||
{
|
||||
index_t i = 0;
|
||||
do
|
||||
{
|
||||
auto LoopFunc = [&](auto vmem_buf_idx) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
if constexpr(k0 == (KRepeat - 1))
|
||||
{
|
||||
block_sync_lds();
|
||||
|
||||
// Local prefill 2
|
||||
if constexpr(is_a_col_major && !is_a_load_tr_v())
|
||||
{
|
||||
auto a_shuffle_tmp = make_static_distributed_tensor<ADataType>(
|
||||
Policy::template MakeShuffledARegTileDistribution<
|
||||
Problem>());
|
||||
transpose_tile2d(a_shuffle_tmp, a_block_tile[vmem_buf_idx]);
|
||||
BasePImpl::LocalPrefill(a_copy_lds_window, a_shuffle_tmp);
|
||||
}
|
||||
else
|
||||
{
|
||||
BasePImpl::LocalPrefill(a_copy_lds_window,
|
||||
a_block_tile[vmem_buf_idx]);
|
||||
}
|
||||
if constexpr(is_b_row_major && !is_b_load_tr_v())
|
||||
{
|
||||
auto b_shuffle_tmp = make_static_distributed_tensor<BDataType>(
|
||||
Policy::template MakeShuffledBRegTileDistribution<
|
||||
Problem>());
|
||||
transpose_tile2d(b_shuffle_tmp, b_block_tile[vmem_buf_idx]);
|
||||
BasePImpl::LocalPrefill(b_copy_lds_window, b_shuffle_tmp);
|
||||
}
|
||||
else
|
||||
{
|
||||
BasePImpl::LocalPrefill(b_copy_lds_window,
|
||||
b_block_tile[vmem_buf_idx]);
|
||||
}
|
||||
|
||||
// Global prefetch 4
|
||||
a_block_tile[vmem_buf_idx] =
|
||||
load_tile_with_elementwise(a_copy_dram_window, a_element_func);
|
||||
move_tile_window(a_copy_dram_window, a_dram_tile_window_step);
|
||||
b_block_tile[vmem_buf_idx] =
|
||||
load_tile_with_elementwise(b_copy_dram_window, b_element_func);
|
||||
move_tile_window(b_copy_dram_window, b_dram_tile_window_step);
|
||||
|
||||
block_sync_lds();
|
||||
}
|
||||
block_gemm(c_block_tile, a_lds_tile, b_lds_tile);
|
||||
|
||||
// Local prefetch 2
|
||||
BasePImpl::LocalPrefetch(a_lds_tile, a_lds_gemm_window, is_a_load_tr_v);
|
||||
BasePImpl::LocalPrefetch(b_lds_tile, b_lds_gemm_window, is_b_load_tr_v);
|
||||
});
|
||||
|
||||
HotLoopScheduler();
|
||||
};
|
||||
|
||||
LoopFunc(I0);
|
||||
LoopFunc(I1);
|
||||
|
||||
i += Base::HotloopUnroll;
|
||||
} while(i < (num_loop - Base::PrefetchStages));
|
||||
}
|
||||
|
||||
auto ReadWriteCompFunc = [&](auto vmem_buf_idx) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
if constexpr(k0 == (KRepeat - 1))
|
||||
{
|
||||
block_sync_lds();
|
||||
|
||||
// Local prefill 3
|
||||
if constexpr(is_a_col_major && !is_a_load_tr_v())
|
||||
{
|
||||
auto a_shuffle_tmp = make_static_distributed_tensor<ADataType>(
|
||||
Policy::template MakeShuffledARegTileDistribution<Problem>());
|
||||
transpose_tile2d(a_shuffle_tmp, a_block_tile[vmem_buf_idx]);
|
||||
BasePImpl::LocalPrefill(a_copy_lds_window, a_shuffle_tmp);
|
||||
}
|
||||
else
|
||||
{
|
||||
BasePImpl::LocalPrefill(a_copy_lds_window, a_block_tile[vmem_buf_idx]);
|
||||
}
|
||||
if constexpr(is_b_row_major && !is_b_load_tr_v())
|
||||
{
|
||||
auto b_shuffle_tmp = make_static_distributed_tensor<BDataType>(
|
||||
Policy::template MakeShuffledBRegTileDistribution<Problem>());
|
||||
transpose_tile2d(b_shuffle_tmp, b_block_tile[vmem_buf_idx]);
|
||||
BasePImpl::LocalPrefill(b_copy_lds_window, b_shuffle_tmp);
|
||||
}
|
||||
else
|
||||
{
|
||||
BasePImpl::LocalPrefill(b_copy_lds_window, b_block_tile[vmem_buf_idx]);
|
||||
}
|
||||
|
||||
block_sync_lds();
|
||||
}
|
||||
|
||||
block_gemm(c_block_tile, a_lds_tile, b_lds_tile);
|
||||
|
||||
BasePImpl::LocalPrefetch(a_lds_tile, a_lds_gemm_window, is_a_load_tr_v);
|
||||
BasePImpl::LocalPrefetch(b_lds_tile, b_lds_gemm_window, is_b_load_tr_v);
|
||||
});
|
||||
|
||||
HotLoopScheduler();
|
||||
};
|
||||
|
||||
auto ReadCompFunc = [&]() {
|
||||
static_for<0, KRepeat - 1, 1>{}([&]() {
|
||||
__syncthreads();
|
||||
block_gemm(c_block_tile, a_lds_tile, b_lds_tile);
|
||||
|
||||
// Local prefetch 4
|
||||
BasePImpl::LocalPrefetch(a_lds_tile, a_lds_gemm_window, is_a_load_tr_v);
|
||||
BasePImpl::LocalPrefetch(b_lds_tile, b_lds_gemm_window, is_b_load_tr_v);
|
||||
|
||||
__syncthreads();
|
||||
});
|
||||
|
||||
block_gemm(c_block_tile, a_lds_tile, b_lds_tile);
|
||||
|
||||
HotLoopScheduler();
|
||||
};
|
||||
|
||||
if constexpr(TailNum == TailNumber::Odd)
|
||||
{
|
||||
ReadWriteCompFunc(I0);
|
||||
ReadWriteCompFunc(I1);
|
||||
ReadCompFunc();
|
||||
}
|
||||
else if constexpr(TailNum == TailNumber::Even)
|
||||
{
|
||||
ReadWriteCompFunc(I0);
|
||||
ReadCompFunc();
|
||||
}
|
||||
|
||||
return c_block_tile;
|
||||
}
|
||||
};
|
||||
|
||||
public:
|
||||
template <typename AsDramBlockWindowTmp,
|
||||
typename BsDramBlockWindowTmp,
|
||||
typename AElementFunction,
|
||||
typename BElementFunction,
|
||||
typename std::enable_if_t<is_detected<is_tuple, AsDramBlockWindowTmp>::value &&
|
||||
is_detected<is_tuple, BsDramBlockWindowTmp>::value,
|
||||
bool>* = nullptr>
|
||||
CK_TILE_DEVICE auto operator()(const AsDramBlockWindowTmp& a_dram_block_window_tmp,
|
||||
const AElementFunction& a_element_func,
|
||||
const BsDramBlockWindowTmp& b_dram_block_window_tmp,
|
||||
const BElementFunction& b_element_func,
|
||||
index_t num_loop,
|
||||
void* __restrict__ p_smem) const
|
||||
{
|
||||
return PipelineImpl<Scheduler>{}.template operator()<HasHotLoop, TailNum>(
|
||||
a_dram_block_window_tmp,
|
||||
a_element_func,
|
||||
b_dram_block_window_tmp,
|
||||
b_element_func,
|
||||
num_loop,
|
||||
p_smem);
|
||||
}
|
||||
|
||||
template <typename AsDramBlockWindowTmp,
|
||||
typename BsDramBlockWindowTmp,
|
||||
typename std::enable_if_t<is_detected<is_tuple, AsDramBlockWindowTmp>::value &&
|
||||
is_detected<is_tuple, BsDramBlockWindowTmp>::value,
|
||||
bool>* = nullptr>
|
||||
CK_TILE_DEVICE auto operator()(const AsDramBlockWindowTmp& a_dram_block_window_tmp,
|
||||
const BsDramBlockWindowTmp& b_dram_block_window_tmp,
|
||||
const index_t num_loop,
|
||||
void* __restrict__ p_smem) const
|
||||
{
|
||||
return PipelineImpl<Scheduler>{}.template operator()<HasHotLoop, TailNum>(
|
||||
a_dram_block_window_tmp,
|
||||
[](auto& e, const ADataType& a) { e = a; },
|
||||
b_dram_block_window_tmp,
|
||||
[](auto& e, const BDataType& b) { e = b; },
|
||||
num_loop,
|
||||
p_smem);
|
||||
}
|
||||
|
||||
template <typename ADramBlockWindowTmp,
|
||||
typename BDramBlockWindowTmp,
|
||||
typename AElementFunction,
|
||||
typename BElementFunction,
|
||||
typename std::enable_if_t<!is_detected<is_tuple, ADramBlockWindowTmp>::value &&
|
||||
!is_detected<is_tuple, BDramBlockWindowTmp>::value,
|
||||
bool>* = nullptr>
|
||||
CK_TILE_DEVICE auto operator()(const ADramBlockWindowTmp& a_dram_block_window_tmp,
|
||||
const AElementFunction& a_element_func,
|
||||
const BDramBlockWindowTmp& b_dram_block_window_tmp,
|
||||
const BElementFunction& b_element_func,
|
||||
index_t num_loop,
|
||||
void* __restrict__ p_smem) const
|
||||
{
|
||||
return operator()(ck_tile::make_tuple(a_dram_block_window_tmp),
|
||||
a_element_func,
|
||||
ck_tile::make_tuple(b_dram_block_window_tmp),
|
||||
b_element_func,
|
||||
num_loop,
|
||||
p_smem);
|
||||
}
|
||||
};
|
||||
} // namespace ck_tile
|
||||
@@ -0,0 +1,56 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#pragma once
|
||||
|
||||
#include "ck_tile/core.hpp"
|
||||
#include "ck_tile/ops/gemm/warp/warp_gemm_dispatcher.hpp"
|
||||
#include "ck_tile/ops/common/tensor_layout.hpp"
|
||||
#include "ck_tile/ops/gemm/pipeline/gemm_universal_pipeline_ag_bg_cr_policy.hpp"
|
||||
|
||||
namespace ck_tile {
|
||||
// Default policy for GemmPipelineAGmemBGmemCregComputeV6, except the block gemm method, it shares
|
||||
// the same vector size implementation, SmemSize, Global memory tile distiribution as the
|
||||
// UniversalGemm Pipeline Policy.
|
||||
// Default policy class should not be templated, put template on
|
||||
// member functions instead.
|
||||
struct GemmPipelineAgBgCrCompV6DefaultPolicy
|
||||
: public UniversalGemmBasePolicy<GemmPipelineAgBgCrCompV6DefaultPolicy>
|
||||
{
|
||||
template <typename Problem>
|
||||
CK_TILE_HOST_DEVICE static constexpr auto GetBlockGemm()
|
||||
{
|
||||
using BlockWarps = typename Problem::BlockGemmShape::BlockWarps;
|
||||
using WarpTile = typename Problem::BlockGemmShape::WarpTile;
|
||||
|
||||
constexpr index_t vector_size =
|
||||
DS_READ_TR_SIZE() / sizeof(typename Problem::ComputeDataType);
|
||||
constexpr index_t thread_elements = WarpTile::at(I1) * WarpTile::at(I2) / get_warp_size();
|
||||
constexpr auto wg_attr_num_access =
|
||||
!(is_a_load_tr<Problem> || is_b_load_tr<Problem>) ? WGAttrNumAccessEnum::Single
|
||||
: vector_size == thread_elements ? WGAttrNumAccessEnum::Single
|
||||
: vector_size * 2 == thread_elements ? WGAttrNumAccessEnum::Double
|
||||
: vector_size * 4 == thread_elements ? WGAttrNumAccessEnum::Quad
|
||||
: WGAttrNumAccessEnum::Invalid;
|
||||
|
||||
using WarpGemm = WarpGemmDispatcher<typename Problem::ADataType,
|
||||
typename Problem::BDataType,
|
||||
typename Problem::CDataType,
|
||||
WarpTile::at(I0),
|
||||
WarpTile::at(I1),
|
||||
WarpTile::at(I2),
|
||||
Problem::TransposeC,
|
||||
false,
|
||||
false,
|
||||
wg_attr_num_access>;
|
||||
|
||||
using BlockGemmPolicy = BlockGemmARegBRegCRegV1CustomPolicy<typename Problem::ADataType,
|
||||
typename Problem::BDataType,
|
||||
typename Problem::CDataType,
|
||||
BlockWarps,
|
||||
WarpGemm>;
|
||||
|
||||
return BlockGemmARegBRegCRegV1<Problem, BlockGemmPolicy>{};
|
||||
}
|
||||
};
|
||||
} // namespace ck_tile
|
||||
@@ -24,12 +24,13 @@ endif()
|
||||
|
||||
if(GPU_TARGETS MATCHES "gfx94|gfx95|gfx12")
|
||||
add_test_executable(test_ck_tile_gemm_pipeline_universal_fp8 test_gemm_pipeline_universal_fp8.cpp)
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_universal_fp8 PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
add_test_executable(test_ck_tile_gemm_pipeline_universal_bf8 test_gemm_pipeline_universal_bf8.cpp)
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_universal_bf8 PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
add_test_executable(test_ck_tile_gemm_pipeline_basic_fp8 test_gemm_pipeline_basic_fp8.cpp)
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_basic_fp8 PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
add_test_executable(test_ck_tile_gemm_pipeline_basic_bf8 test_gemm_pipeline_basic_bf8.cpp)
|
||||
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_basic_fp8 PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_universal_bf8 PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_universal_fp8 PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_basic_bf8 PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
else()
|
||||
message(DEBUG "Skipping ck_tile_gemm tests for current target")
|
||||
@@ -55,10 +56,13 @@ if(GPU_TARGETS MATCHES "gfx94|gfx95|gfx90a|gfx11|gfx12")
|
||||
add_gtest_executable(test_ck_tile_gemm_pipeline_compv3 test_gemm_pipeline_compv3.cpp)
|
||||
add_gtest_executable(test_ck_tile_gemm_pipeline_compv4 test_gemm_pipeline_compv4.cpp)
|
||||
add_gtest_executable(test_ck_tile_gemm_pipeline_persistent test_gemm_pipeline_persistent.cpp)
|
||||
add_gtest_executable(test_ck_tile_gemm_pipeline_compv6 test_gemm_pipeline_compv6.cpp)
|
||||
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_mem PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_compv3 PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_compv4 PRIVATE ${EXAMPLE_GEMM_COMPILE_COMPUTE_V4_OPTIONS})
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_persistent PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
target_compile_options(test_ck_tile_gemm_pipeline_compv6 PRIVATE ${EXAMPLE_GEMM_COMPILE_OPTIONS})
|
||||
endif()
|
||||
|
||||
if(GPU_TARGETS MATCHES "gfx95")
|
||||
|
||||
17
test/ck_tile/gemm/test_gemm_pipeline_compv6.cpp
Normal file
17
test/ck_tile/gemm/test_gemm_pipeline_compv6.cpp
Normal file
@@ -0,0 +1,17 @@
|
||||
#include "test_gemm_pipeline_kernel_types.hpp"
|
||||
#include "test_gemm_pipeline_util.hpp"
|
||||
#include "gtest/gtest.h"
|
||||
|
||||
template <typename T>
|
||||
class TestCkTileGemmPipelineCompV6
|
||||
: public TestCkTileGemmPipeline<T, TestCkTileGemmPipelineCompV6<T>>
|
||||
{
|
||||
};
|
||||
|
||||
#define TEST_SUITE_NAME TestCkTileGemmPipelineCompV6
|
||||
|
||||
TYPED_TEST_SUITE(TestCkTileGemmPipelineCompV6, KernelTypesCompV6);
|
||||
|
||||
#include "test_gemm_pipeline_ut_cases.inc"
|
||||
|
||||
#undef TEST_SUITE_NAME
|
||||
@@ -29,6 +29,7 @@ using Interwave = ck_tile::integral_constant<ck_tile::GemmPipelineScheduler,
|
||||
using Mem = ck_tile::integral_constant<GemmPipelineType, GemmPipelineType::Mem>;
|
||||
using CompV3 = ck_tile::integral_constant<GemmPipelineType, GemmPipelineType::CompV3>;
|
||||
using CompV4 = ck_tile::integral_constant<GemmPipelineType, GemmPipelineType::CompV4>;
|
||||
using CompV6 = ck_tile::integral_constant<GemmPipelineType, GemmPipelineType::CompV6>;
|
||||
using CompAsync = ck_tile::integral_constant<GemmPipelineType, GemmPipelineType::CompAsync>;
|
||||
|
||||
using Persistent = std::true_type;
|
||||
@@ -130,6 +131,28 @@ using KernelTypesCompV4 = ::testing::Types<
|
||||
std::tuple< Col, Col, Row, F16, F16, F32, F16, I256, I256, I32, I32, I32, I16, Intrawave, CompV4>
|
||||
>;
|
||||
|
||||
using KernelTypesCompV6 = ::testing::Types<
|
||||
std::tuple< Row, Row, Row, F16, F16, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Col, Row, Row, F16, F16, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Col, Col, Row, F16, F16, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Row, Col, Row, F16, F16, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Row, Row, Row, BF16, BF16, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Col, Row, Row, BF16, BF16, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Col, Col, Row, BF16, BF16, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Row, Col, Row, BF16, BF16, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Row, Row, Row, F8, F8, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Row, Col, Row, F8, F8, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Col, Row, Row, F8, F8, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Col, Col, Row, F8, F8, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Row, Row, Row, BF8, BF8, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Row, Col, Row, BF8, BF8, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Col, Row, Row, BF8, BF8, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Col, Col, Row, BF8, BF8, F32, F16, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Row, Row, Row, INT8, INT8, INT32, INT32, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Row, Col, Row, INT8, INT8, INT32, INT32, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Col, Row, Row, INT8, INT8, INT32, INT32, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>,
|
||||
std::tuple< Col, Col, Row, INT8, INT8, INT32, INT32, I256, I256, I64, I32, I32, I16, Intrawave, CompV6>
|
||||
>;
|
||||
using KernelTypesCompAsync = ::testing::Types<
|
||||
std::tuple< Row, Row, Row, F16, F16, F32, F16, I256, I256, I32, I32, I32, I16, Intrawave, CompAsync>,
|
||||
std::tuple< Row, Col, Row, F16, F16, F32, F16, I256, I256, I32, I32, I32, I16, Intrawave, CompAsync>,
|
||||
|
||||
@@ -38,6 +38,7 @@ enum struct GemmPipelineType
|
||||
Mem,
|
||||
CompV3,
|
||||
CompV4,
|
||||
CompV6,
|
||||
CompAsync
|
||||
};
|
||||
|
||||
@@ -71,6 +72,15 @@ struct GemmPipelineTypeSelector<GemmPipelineType::CompV4, Problem>
|
||||
static constexpr auto GetName() { return "GemmPipelineAgBgCrCompV4"; }
|
||||
};
|
||||
|
||||
template <typename Problem>
|
||||
struct GemmPipelineTypeSelector<GemmPipelineType::CompV6, Problem>
|
||||
{
|
||||
using base_pipeline = ck_tile::BaseGemmPipelineAgBgCrCompV6<Problem>;
|
||||
using pipeline = ck_tile::GemmPipelineAgBgCrCompV6<Problem>;
|
||||
|
||||
static constexpr auto GetName() { return "GemmPipelineAgBgCrCompV6"; }
|
||||
};
|
||||
|
||||
template <typename Problem>
|
||||
struct GemmPipelineTypeSelector<GemmPipelineType::CompAsync, Problem>
|
||||
{
|
||||
@@ -120,11 +130,13 @@ class TestCkTileGemmPipeline : public ::testing::Test
|
||||
constexpr bool kPadK = PadK;
|
||||
constexpr bool preshuffle = Preshuffle;
|
||||
|
||||
constexpr bool DoubleSmemBuffer = (PipelineType == GemmPipelineType::CompV4 ||
|
||||
constexpr bool DoubleSmemBuffer = (PipelineType == GemmPipelineType::CompV4 ||
|
||||
PipelineType == GemmPipelineType::CompAsync);
|
||||
constexpr bool TransposeC = false;
|
||||
static constexpr bool StructuredSparsity = false;
|
||||
static constexpr bool NumWaveGroup = 1;
|
||||
|
||||
// TODO: For now - but this should also be a test parameter
|
||||
constexpr bool TransposeC = false;
|
||||
|
||||
constexpr int kBlockPerCu = 1;
|
||||
constexpr ck_tile::index_t TileParitionerGroupNum = 8;
|
||||
@@ -140,8 +152,6 @@ class TestCkTileGemmPipeline : public ::testing::Test
|
||||
GemmSpatiallyLocalTilePartitioner<GemmShape, TileParitionerGroupNum, TileParitionerM01>;
|
||||
|
||||
using Traits = ck_tile::TileGemmTraits<kPadM, kPadN, kPadK, ALayout, BLayout, CLayout>;
|
||||
static constexpr bool StructuredSparsity = false;
|
||||
static constexpr bool NumWaveGroup = 1;
|
||||
|
||||
using GemmUniversalTraits = ck_tile::TileGemmUniversalTraits<kPadM,
|
||||
kPadN,
|
||||
|
||||
Reference in New Issue
Block a user