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* Fix distr * Duplicate block_fmha_bwd_dq_dk_dv_pipeline_trload_kr_ktr_vr * decode 16x16 o2
199 lines
8.4 KiB
C++
199 lines
8.4 KiB
C++
// 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/ops/gemm/warp/warp_gemm_dispatcher.hpp"
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#include "ck_tile/ops/common/tensor_layout.hpp"
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namespace ck_tile {
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// this epilogue just store out a M*N matrix, row major
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template <typename AccDataType_,
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typename ODataType_,
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bool kPadM_,
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bool kPadN_,
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bool UseRawStore_ = true,
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memory_operation_enum MemoryOperation_ = memory_operation_enum::set>
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struct Default2DEpilogueProblem
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{
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using AccDataType = remove_cvref_t<AccDataType_>;
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using ODataType = remove_cvref_t<ODataType_>;
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static constexpr bool kPadM = kPadM_;
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static constexpr bool kPadN = kPadN_;
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static constexpr bool UseRawStore = UseRawStore_;
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static constexpr memory_operation_enum MemoryOperation = MemoryOperation_;
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};
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template <typename ADataType_,
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typename BDataType_,
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typename AccDataType_,
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typename ODataType_,
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typename CLayout_,
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bool kPadM_,
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bool kPadN_,
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index_t kMPerXdl_,
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index_t kNPerXdl_,
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index_t kKPerXdl_,
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bool isCTransposed_,
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bool UseRawStore_ = true,
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memory_operation_enum MemoryOperation_ = memory_operation_enum::set>
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struct DefaultGemm2DEpilogueProblem : public Default2DEpilogueProblem<AccDataType_,
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ODataType_,
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kPadM_,
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kPadN_,
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UseRawStore_,
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MemoryOperation_>
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{
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using ADataType = remove_cvref_t<ADataType_>;
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using BDataType = remove_cvref_t<BDataType_>;
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using CLayout = remove_cvref_t<CLayout_>;
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static constexpr index_t kMPerXdl = kMPerXdl_;
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static constexpr index_t kNPerXdl = kNPerXdl_;
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static constexpr index_t kKPerXdl = kKPerXdl_;
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static constexpr index_t isCTransposed = isCTransposed_;
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};
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template <typename Problem_, typename Policy_ = void>
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struct Default2DEpilogue
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{
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using Problem = remove_cvref_t<Problem_>;
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using AccDataType = remove_cvref_t<typename Problem::AccDataType>;
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using ODataType = remove_cvref_t<typename Problem::ODataType>;
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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 UseRawStore = Problem::UseRawStore;
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static constexpr memory_operation_enum MemoryOperation = Problem::MemoryOperation;
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CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize() { return 0; }
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// TODO: this function assume store out vector size is the same as OAccTile last dimension size
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// how do we fix this ?
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template <typename ODramWindowTmp, typename OAccTile>
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CK_TILE_DEVICE auto
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operator()(ODramWindowTmp& o_dram_window_tmp, const OAccTile& o_acc_tile, void* = nullptr) const
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{
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// TODO: this is ugly
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if constexpr(UseRawStore && (kPadM || kPadN))
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{
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if constexpr(MemoryOperation == memory_operation_enum::set)
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{
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store_tile_raw(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
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}
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else
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{
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update_tile_raw(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
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}
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buffer_store_fence();
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}
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else
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{
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if constexpr(MemoryOperation == memory_operation_enum::set)
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{
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store_tile(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
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}
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else
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{
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update_tile(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
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}
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}
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}
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template <typename ODramWindowTmp, typename OAccTile, typename DsDramWindows>
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CK_TILE_DEVICE auto operator()(ODramWindowTmp& o_dram_window_tmp,
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const OAccTile& o_acc_tile,
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const DsDramWindows& /* unused */,
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void* = nullptr) const
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{
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return operator()<ODramWindowTmp, OAccTile>(o_dram_window_tmp, o_acc_tile);
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}
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};
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template <typename Problem_, typename Policy_ = void>
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struct DefaultGemm2DEpilogue : public Default2DEpilogue<Problem_, Policy_>
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{
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using Problem = remove_cvref_t<Problem_>;
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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 AccDataType = remove_cvref_t<typename Problem::AccDataType>;
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using ODataType = remove_cvref_t<typename Problem::ODataType>;
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// Used for weight-only quantization kernel, B would be dequantized to the same data type as A
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using BTypeToUse =
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std::conditional_t<std::is_same_v<BDataType, pk_int4_t>, ADataType, BDataType>;
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using DsDataType = ck_tile::tuple<>;
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using DsLayout = ck_tile::tuple<>;
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using CLayout = remove_cvref_t<typename Problem::CLayout>;
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static constexpr index_t kMPerXdl = Problem::kMPerXdl;
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static constexpr index_t kNPerXdl = Problem::kNPerXdl;
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static constexpr index_t kKPerXdl = Problem::kKPerXdl;
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static constexpr index_t isCTransposed = Problem::isCTransposed;
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using WG = WarpGemmMfmaDispatcher<ADataType,
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BTypeToUse,
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AccDataType,
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kMPerXdl,
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kNPerXdl,
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kKPerXdl,
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isCTransposed>;
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using CWarpDstr = typename WG::CWarpDstr;
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CK_TILE_HOST_DEVICE static constexpr auto GetVectorSizeC()
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{
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// N is contiguous dimension
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if constexpr(std::is_same_v<CLayout, tensor_layout::gemm::RowMajor>)
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{
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if constexpr(isCTransposed)
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{
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// In this case each thread has multiple consecutive elements in
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// N dimension, however consecutive threads' elements have stride.
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constexpr index_t NDimY = CWarpDstr::NDimY;
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constexpr auto c_warp_y_lengths =
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CWarpDstr{}.get_ys_to_d_descriptor().get_lengths();
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static_assert(WG::WarpGemmAttribute::Impl::kCM1PerLane ==
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c_warp_y_lengths.get(number<NDimY - 1>{}));
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return c_warp_y_lengths.get(number<NDimY - 1>{});
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}
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else
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{
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// In this case each thread has just a single item in Ndim
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return (WG::WarpGemmAttribute::Impl::kCNLane *
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WG::WarpGemmAttribute::Impl::kBNBlock) /
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WG::kN;
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}
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}
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// M is contiguous dimension
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else if constexpr(std::is_same_v<CLayout, tensor_layout::gemm::ColumnMajor>)
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{
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if constexpr(isCTransposed)
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{
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// In this case each thread has just a single item in Mdim
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return (WG::WarpGemmAttribute::Impl::kCNLane *
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WG::WarpGemmAttribute::Impl::kAMBlock) /
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WG::kN;
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}
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else
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{
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// In this case each thread has multiple consecutive elements in
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// M dimension, however consecutive threads' elements have stride.
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constexpr index_t NDimY = CWarpDstr::NDimY;
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constexpr auto c_warp_y_lengths =
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CWarpDstr{}.get_ys_to_d_descriptor().get_lengths();
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static_assert(WG::WarpGemmAttribute::Impl::kCM1PerLane ==
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c_warp_y_lengths.get(number<NDimY - 1>{}));
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return c_warp_y_lengths.get(number<NDimY - 1>{});
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}
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}
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else
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{
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static_assert(false, "Unsupported CLayout!");
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}
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}
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CK_TILE_HOST_DEVICE static constexpr auto GetVectorSizeD() { return 1; }
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};
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} // namespace ck_tile
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