mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-02 04:31:25 +00:00
[CK TILE] Fix bugs in AQuant preshuffle (#2700)
* [CK TILE] Fix bugs in AQuant preshuffle
- Make Aquant works with block Mx64x256. `M` could be 16, 32, 64
- Make Aquant works with warp 16x16x32 and 32x32x16.
* [CK TILE] Rename Preshuffle to PreshuffleQuant
The new name, PreshuffleQuant, explicitly states the function's purpose:
to preshuffle the quantization matrix.
* [CK TILE Block Scale] Use GemmConfig to save tile properties
- Remove specialization of GemmQuantTypeConfig
- Pass GemmConfig around which contains tile properties. Stop using hard
coded tile properties in `gemm_calc_aquant()`
* [CK TILE Block Scale] Rename GemmConfig used in block scale
- Remove unused GemmConfig
- Rename GemmConfig used in block scale
---------
Co-authored-by: ThomasNing <thomas.ning@amd.com>
This commit is contained in:
@@ -157,7 +157,7 @@ struct AQuantBlockUniversalGemmAsBsCr : public BlockGemmQuantBase<Problem_>
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static constexpr index_t KPack = WarpGemm::kKPerThread;
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static constexpr index_t KPerThread = KIterPerWarp * WarpGemm::kKPerThread;
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static constexpr bool Preshuffle = Problem::Traits::Preshuffle;
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static constexpr bool PreshuffleQuant = Problem::Traits::PreshuffleQuant;
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};
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public:
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@@ -357,7 +357,7 @@ struct AQuantBlockUniversalGemmAsBsCr : public BlockGemmQuantBase<Problem_>
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}
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});
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if constexpr(Traits::Preshuffle)
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if constexpr(Traits::PreshuffleQuant)
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{
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// A view is created on top of the preshuffled AQ, where each row of the
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// view is composed of a row from a warp tile within an AQ block tile.
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@@ -392,12 +392,27 @@ struct AQuantBlockUniversalGemmAsBsCr : public BlockGemmQuantBase<Problem_>
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// Thread 0 can read AQ_tile[0, 0] from itself, AQ_tile[1, 0]
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// from thread 1, ..., and AQ_tile[3, 0] from thread 3.
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auto pull_from_lane =
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((threadIdx.x & (warp_size - 1)) / Traits::WarpGemm::kN *
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kTileRowsOfCPerThread +
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c_row) *
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Traits::QScalesPerBlockRow +
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kQScale;
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decltype(threadIdx.x) pull_from_lane = 0;
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if constexpr(WarpGemm::kM == 16)
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{
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pull_from_lane = (__lane_id() / Traits::WarpGemm::kN *
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kTileRowsOfCPerThread +
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c_row) *
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Traits::QScalesPerBlockRow +
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kQScale;
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}
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else if constexpr(WarpGemm::kM == 32)
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{
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pull_from_lane = (__lane_id() / Traits::WarpGemm::kN *
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kTileRowsOfCPerThread +
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((c_row >> 2) << 3) + (c_row & 0b11)) *
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Traits::QScalesPerBlockRow +
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kQScale;
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}
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else
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{
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static_assert(false, "WarpGemm::kM is not 16 nor 32.");
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}
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auto& scale_reg = aq_block_tensor.get_thread_buffer()[mIter];
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// cross lane ops
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@@ -99,15 +99,15 @@ struct AQuantGemmKernelArgs
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template <typename TilePartitioner_, typename GemmPipeline_, typename EpiloguePipeline_>
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struct AQuantGemmKernel
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{
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using TilePartitioner = remove_cvref_t<TilePartitioner_>;
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using GemmPipeline = remove_cvref_t<GemmPipeline_>;
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using EpiloguePipeline = remove_cvref_t<EpiloguePipeline_>;
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using ALayout = remove_cvref_t<typename GemmPipeline::ALayout>;
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using AQLayout = remove_cvref_t<typename GemmPipeline::AQLayout>;
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using BLayout = remove_cvref_t<typename GemmPipeline::BLayout>;
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using CLayout = remove_cvref_t<typename GemmPipeline::CLayout>;
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static constexpr index_t kBlockSize = GemmPipeline::BlockSize;
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static constexpr bool Preshuffle = GemmPipeline::Preshuffle;
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using TilePartitioner = remove_cvref_t<TilePartitioner_>;
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using GemmPipeline = remove_cvref_t<GemmPipeline_>;
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using EpiloguePipeline = remove_cvref_t<EpiloguePipeline_>;
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using ALayout = remove_cvref_t<typename GemmPipeline::ALayout>;
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using AQLayout = remove_cvref_t<typename GemmPipeline::AQLayout>;
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using BLayout = remove_cvref_t<typename GemmPipeline::BLayout>;
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using CLayout = remove_cvref_t<typename GemmPipeline::CLayout>;
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static constexpr index_t KernelBlockSize = GemmPipeline::BlockSize;
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static constexpr bool PreshuffleQuant = GemmPipeline::PreshuffleQuant;
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using ADataType = remove_cvref_t<typename GemmPipeline::ADataType>;
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using AQDataType = remove_cvref_t<typename GemmPipeline::AQDataType>;
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@@ -422,9 +422,9 @@ struct AQuantGemmKernel
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ck_tile::integer_least_multiple(wave_tile_size, get_warp_size());
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const auto aq_merge_pad1_desc = transform_tensor_descriptor(
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aq_pad1_desc,
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make_tuple(make_merge_transform(make_tuple(wave_tile_count_x, aq_y)),
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make_tuple(make_merge_transform(make_tuple(aq_y, wave_tile_count_x)),
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make_pass_through_transform(pad_wave_size)),
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make_tuple(sequence<1, 0>{}, sequence<2>{}),
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make_tuple(sequence<0, 1>{}, sequence<2>{}),
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make_tuple(sequence<0>{}, sequence<1>{}));
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return make_tensor_view<address_space_enum::global>(aq_ptr, aq_merge_pad1_desc);
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@@ -432,7 +432,7 @@ struct AQuantGemmKernel
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const auto& aq_tensor_view = [&]() {
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static_assert(std::is_same_v<AQLayout, tensor_layout::gemm::RowMajor>);
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if constexpr(Preshuffle)
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if constexpr(PreshuffleQuant)
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{
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return make_preshuffled_aq_tensor_view();
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}
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@@ -599,10 +599,8 @@ struct AQuantGemmKernel
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}
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template <typename PadView>
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CK_TILE_DEVICE static auto MakeGemmTileWindows(const PadView& views,
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const AQuantGemmKernelArgs& kargs,
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const index_t i_m,
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const index_t i_n)
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CK_TILE_DEVICE static auto
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MakeGemmTileWindows(const PadView& views, const index_t i_m, const index_t i_n)
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{
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const auto& a_pad_view = views.at(I0);
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const auto& aq_pad_view = views.at(I1);
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@@ -628,24 +626,27 @@ struct AQuantGemmKernel
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const auto& aq_block_window = [&]() {
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static_assert(std::is_same_v<AQLayout, tensor_layout::gemm::RowMajor>);
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if constexpr(Preshuffle)
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constexpr auto block_m = TilePartitioner::MPerBlock;
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constexpr auto block_k = TilePartitioner::KPerBlock;
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constexpr auto warp_m = TilePartitioner::BlockGemmShape::WarpTile::at(I0);
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constexpr auto aqk_per_block =
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TilePartitioner::KPerBlock / GemmPipeline::QuantGroupSize;
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if constexpr(PreshuffleQuant)
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{
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constexpr auto tile_window_width = get_warp_size();
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constexpr auto tile_window_height =
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TilePartitioner::MPerBlock / TilePartitioner::BlockGemmShape::WarpTile::at(I0);
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auto block_m_idx = i_m / TilePartitioner::MPerBlock;
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constexpr auto tile_window_width =
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ck_tile::integer_least_multiple(warp_m * aqk_per_block, get_warp_size());
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constexpr auto tile_window_height = block_m / warp_m;
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auto block_m_idx = i_m / block_m;
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return make_tile_window(
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aq_pad_view,
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make_tuple(number<tile_window_height>{}, number<tile_window_width>{}),
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{block_m_idx * kargs.K / TilePartitioner::BlockGemmShape::BlockTile::at(I2),
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0});
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{block_m_idx * tile_window_height, 0});
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}
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else
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{
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return make_tile_window(
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aq_pad_view,
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make_tuple(number<TilePartitioner::MPerBlock>{},
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number<TilePartitioner::KPerBlock / GemmPipeline::QuantGroupSize>{}),
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make_tuple(number<block_m>{}, number<block_k / GemmPipeline::QuantGroupSize>{}),
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{i_m, 0});
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}
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}();
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@@ -706,8 +707,7 @@ struct AQuantGemmKernel
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a_ptr, b_ptr, aq_ptr, c_ptr, kargs, splitk_batch_offset);
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const auto& gemm_pad_views = MakeGemmPadViews(gemm_tensor_views_tuple);
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auto gemm_tile_windows =
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MakeGemmTileWindows(gemm_pad_views, kargs, block_idx_m, block_idx_n);
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auto gemm_tile_windows = MakeGemmTileWindows(gemm_pad_views, block_idx_m, block_idx_n);
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const index_t num_loop = __builtin_amdgcn_readfirstlane(
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TilePartitioner::GetLoopNum(splitk_batch_offset.splitted_k));
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@@ -718,7 +718,7 @@ struct AQuantGemmKernel
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const auto& b_block_window = gemm_tile_windows.at(I2);
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const auto& c_block_tile = GemmPipeline{}.template operator()(
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a_block_window, b_block_window, aq_block_window, num_loop, smem_ptr_0);
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a_block_window, b_block_window, aq_block_window, kargs.M, num_loop, smem_ptr_0);
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// Run Epilogue Pipeline
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auto& c_block_window = gemm_tile_windows.at(I3);
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@@ -37,23 +37,23 @@ struct GemmAQuantPipelineAgBgCrDefaultPolicy : public UniversalGemmPipelineAgBgC
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using AQLayout = remove_cvref_t<typename Problem::AQLayout>;
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using BlockGemmShape = typename Problem::BlockGemmShape;
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constexpr index_t BlockSize = Problem::kBlockSize;
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constexpr index_t MPerBlock = Problem::BlockGemmShape::kM;
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constexpr index_t KPerBlock = Problem::BlockGemmShape::kK;
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constexpr index_t KPerBlockAQ = KPerBlock / Problem::kQuantGroupSize;
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constexpr index_t VecLoadSize = GetVectorSizeAQ<Problem>();
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constexpr bool Preshuffle = Problem::Traits::Preshuffle;
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using WarpTile = typename Problem::BlockGemmShape::WarpTile;
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using WarpGemm = WarpGemmDispatcher<typename Problem::ComputeDataType,
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typename Problem::ComputeDataType,
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typename Problem::CDataType,
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WarpTile::at(I0),
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WarpTile::at(I1),
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WarpTile::at(I2),
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false>;
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constexpr index_t BlockSize = Problem::kBlockSize;
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constexpr index_t MPerBlock = Problem::BlockGemmShape::kM;
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constexpr index_t KPerBlock = Problem::BlockGemmShape::kK;
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constexpr index_t KPerBlockAQ = KPerBlock / Problem::kQuantGroupSize;
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constexpr index_t VecLoadSize = GetVectorSizeAQ<Problem>();
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constexpr bool PreshuffleQuant = Problem::Traits::PreshuffleQuant;
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using WarpTile = typename Problem::BlockGemmShape::WarpTile;
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using WarpGemm = WarpGemmDispatcher<typename Problem::ComputeDataType,
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typename Problem::ComputeDataType,
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typename Problem::CDataType,
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WarpTile::at(I0),
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WarpTile::at(I1),
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WarpTile::at(I2),
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false>;
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static_assert(std::is_same_v<AQLayout, tensor_layout::gemm::RowMajor>);
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if constexpr(Preshuffle)
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if constexpr(PreshuffleQuant)
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{
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using TileEncodingPattern =
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TileDistributionEncodingPatternAQ<BlockGemmShape,
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@@ -64,7 +64,7 @@ struct GemmAQuantPipelineAgBgCrDefaultPolicy : public UniversalGemmPipelineAgBgC
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WarpGemm::kM * KPerBlockAQ, get_warp_size()),
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KPerBlockAQ,
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VecLoadSize,
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Preshuffle>;
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PreshuffleQuant>;
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return TileEncodingPattern::Make2DStaticTileDistribution();
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}
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@@ -77,7 +77,7 @@ struct GemmAQuantPipelineAgBgCrDefaultPolicy : public UniversalGemmPipelineAgBgC
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KPerBlockAQ,
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KPerBlockAQ,
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VecLoadSize,
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Preshuffle>;
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PreshuffleQuant>;
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return TileEncodingPattern::Make2DStaticTileDistribution();
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}
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@@ -7,6 +7,7 @@
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#include <sstream>
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#include "ck_tile/core.hpp"
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#include "ck_tile/core/numeric/math.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_group_quant/pipeline/gemm_aquant_pipeline_ag_bg_cr_base.hpp"
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#include "ck_tile/host/concat.hpp"
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@@ -133,7 +134,7 @@ struct AQuantGemmPipelineAgBgCrCompV3 : public BaseAQuantGemmPipelineAgBgCrCompV
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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 bool Preshuffle = Problem::Traits::Preshuffle;
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static constexpr bool PreshuffleQuant = Problem::Traits::PreshuffleQuant;
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static constexpr bool HasHotLoop = Problem::HasHotLoop;
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static constexpr auto TailNum = Problem::TailNum;
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@@ -235,6 +236,7 @@ struct AQuantGemmPipelineAgBgCrCompV3 : public BaseAQuantGemmPipelineAgBgCrCompV
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const BDramBlockWindowTmp& b_dram_block_window_tmp,
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const BElementFunction& b_element_func,
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const AQDramBlockWindowTmp& aq_dram_block_window_tmp,
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index_t m,
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index_t num_loop,
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void* p_smem) const
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{
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@@ -311,9 +313,11 @@ struct AQuantGemmPipelineAgBgCrCompV3 : public BaseAQuantGemmPipelineAgBgCrCompV
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is_b_row_major ? make_array(KPerBlock, 0) : make_array(0, KPerBlock);
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// only row_major for AQ
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constexpr AQDramTileWindowStep aq_dram_tile_window_step =
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Preshuffle ? make_array(MPerBlock / BlockGemm::WarpGemm::kM, 0)
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: make_array(0, KPerBlockAQ);
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const AQDramTileWindowStep aq_dram_tile_window_step =
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PreshuffleQuant ? make_array(ck_tile::integer_least_multiple(m, MPerBlock) /
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BlockGemm::WarpGemm::kM,
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0)
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: make_array(0, KPerBlockAQ);
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// DRAM prefetch (global read 0)
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Base::GlobalPrefetch(a_block_tile, a_copy_dram_window, a_dram_tile_window_step);
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@@ -458,6 +462,7 @@ struct AQuantGemmPipelineAgBgCrCompV3 : public BaseAQuantGemmPipelineAgBgCrCompV
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CK_TILE_DEVICE auto operator()(const ADramBlockWindowTmp& a_dram_block_window_tmp,
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const BDramBlockWindowTmp& b_dram_block_window_tmp,
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const AQDramBlockWindowTmp& aq_dram_block_window_tmp,
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index_t m,
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index_t num_loop,
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void* p_smem) const
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{
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@@ -467,6 +472,7 @@ struct AQuantGemmPipelineAgBgCrCompV3 : public BaseAQuantGemmPipelineAgBgCrCompV
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b_dram_block_window_tmp,
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[](const BDataType& b) { return b; },
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aq_dram_block_window_tmp,
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m,
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num_loop,
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p_smem);
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}
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@@ -52,7 +52,7 @@ template <typename BlockGemmShape,
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index_t XPerTile,
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index_t KPerBlockAQ,
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index_t VecSize,
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bool Preshuffle>
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bool PreshuffleQuant>
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struct TileDistributionEncodingPatternAQ : public TileDistributionEncodingPattern
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{
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static_assert(XPerTile % VecSize == 0, "XPerTile must be a multiple of VecSize!");
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@@ -72,20 +72,20 @@ struct TileDistributionEncodingPatternAQ : public TileDistributionEncodingPatter
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CK_TILE_HOST_DEVICE static constexpr auto Make2DStaticTileDistribution()
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{
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if constexpr(Preshuffle)
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if constexpr(PreshuffleQuant)
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{
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// # of elements per thread
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constexpr index_t X2 = KPerBlockAQ;
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constexpr index_t X1 = warp_size / X2;
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static_assert(XPerTile >= warp_size && XPerTile % warp_size == 0);
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constexpr index_t X1 = warp_size;
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constexpr index_t X0 = XPerTile / warp_size;
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constexpr index_t Y1 = MWarps;
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constexpr index_t Y0 = YPerTile / Y1;
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return make_static_tile_distribution(
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tile_distribution_encoding<sequence<NWarps>,
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tuple<sequence<Y0, Y1>, sequence<X0, X1, X2>>,
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tuple<sequence<1, 0>, sequence<2, 2>>,
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tuple<sequence<1, 0>, sequence<1, 2>>,
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tuple<sequence<Y0, Y1>, sequence<X0, X1>>,
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tuple<sequence<1, 0>, sequence<2>>,
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tuple<sequence<1, 0>, sequence<1>>,
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sequence<1, 2>,
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sequence<0, 0>>{});
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}
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@@ -10,7 +10,7 @@ namespace ck_tile {
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template <bool kPadM_,
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bool kPadN_,
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bool kPadK_,
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bool Preshuffle_,
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bool PreshuffleQuant_,
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typename ALayout_,
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typename BLayout_,
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typename CLayout_,
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@@ -30,7 +30,7 @@ struct TileGemmAQuantTraits
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static constexpr bool UseStructuredSparsity = false;
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static constexpr index_t NumWaveGroups = 1;
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static constexpr bool Preshuffle = Preshuffle_;
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static constexpr bool PreshuffleQuant = PreshuffleQuant_;
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};
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} // namespace ck_tile
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