Merge branch 'develop' into ck_tile/fa_bwd_v3

include/ck_tile/ops/add_rmsnorm2d_rdquant/pipeline/add_rmsnorm2d_rdquant_fwd_pipeline_default_policy.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core.hpp"
+#include "ck_tile/ops/reduce/block/block_reduce2d_problem.hpp"
+#include "ck_tile/ops/reduce/block/block_reduce2d.hpp"
+
+namespace ck_tile {
+
+struct AddRmsnorm2dRdquantFwdPipelineDefaultPolicy
+{
+    template <typename Problem>
+    CK_TILE_DEVICE static constexpr auto MakeABXBlockTileDistribution()
+    {
+        using S = typename Problem::BlockShape;
+
+        return make_static_tile_distribution(
+            tile_distribution_encoding<
+                sequence<>,
+                tuple<sequence<S::Repeat_M, S::WarpPerBlock_M, S::ThreadPerWarp_M, S::Vector_M>,
+                      sequence<S::Repeat_N, S::WarpPerBlock_N, S::ThreadPerWarp_N, S::Vector_N>>,
+                tuple<sequence<1, 2>, sequence<1, 2>>,
+                tuple<sequence<1, 1>, sequence<2, 2>>,
+                sequence<1, 1, 2, 2>,
+                sequence<0, 3, 0, 3>>{});
+    }
+
+    template <typename Problem>
+    CK_TILE_DEVICE static constexpr auto MakeGammaBlockTileDistribution()
+    {
+        using S = typename Problem::BlockShape;
+
+        return make_static_tile_distribution(
+            tile_distribution_encoding<
+                sequence<S::WarpPerBlock_M, S::ThreadPerWarp_M>,
+                tuple<sequence<S::Repeat_N, S::WarpPerBlock_N, S::ThreadPerWarp_N, S::Vector_N>>,
+                tuple<sequence<0, 1>, sequence<0, 1>>,
+                tuple<sequence<0, 1>, sequence<1, 2>>,
+                sequence<1, 1>,
+                sequence<0, 3>>{});
+    }
+
+    template <typename Problem>
+    CK_TILE_HOST_DEVICE static constexpr auto GetBlockReduce2d()
+    {
+        using P_ = BlockReduce2dProblem<typename Problem::ComputeDataType,
+                                        typename Problem::ComputeDataType,
+                                        typename Problem::BlockShape>;
+        return BlockReduce2d<P_>{};
+    }
+
+    template <typename Problem>
+    CK_TILE_HOST_DEVICE static constexpr auto GetBlockReduce2dSync()
+    {
+        using P_ = BlockReduce2dProblem<typename Problem::ComputeDataType,
+                                        typename Problem::ComputeDataType,
+                                        typename Problem::BlockShape>;
+        return BlockReduce2dSync<P_>{};
+    }
+
+    template <typename Problem>
+    CK_TILE_HOST_DEVICE static constexpr auto GetBlockReduce2dCrossWarpSync()
+    {
+        using P_ = BlockReduce2dProblem<typename Problem::ComputeDataType,
+                                        typename Problem::ComputeDataType,
+                                        typename Problem::BlockShape>;
+        return BlockReduce2dCrossWarpSync<P_>{};
+    }
+
+    template <typename Problem>
+    CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
+    {
+        if constexpr(Problem::kNeedCrossWarpSync)
+        {
+            using P_ = BlockReduce2dProblem<typename Problem::ComputeDataType,
+                                            typename Problem::ComputeDataType,
+                                            typename Problem::BlockShape>;
+
+            using block_reduce2d = BlockReduce2d<P_>;
+            using x_block_tile =
+                decltype(make_static_distributed_tensor<typename Problem::ComputeDataType>(
+                    MakeABXBlockTileDistribution<Problem>()));
+            using y_block_tile = decltype(block_reduce2d::template MakeYBlockTile<x_block_tile>());
+
+            return GetBlockReduce2dCrossWarpSync<Problem>().template GetSmemSize<y_block_tile>();
+        }
+        else
+        {
+            return 1; // zero size arrays are an extension
+        }
+    }
+};
+} // namespace ck_tile

include/ck_tile/ops/add_rmsnorm2d_rdquant/pipeline/add_rmsnorm2d_rdquant_fwd_pipeline_one_pass.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core.hpp"
+#include "ck_tile/ops/rmsnorm2d/pipeline/rmsnorm2d_fwd_pipeline_default_policy.hpp"
+#include <string>
+#include <type_traits>
+
+namespace ck_tile {
+
+template <typename Problem_, typename Policy_ = AddRmsnorm2dRdquantFwdPipelineDefaultPolicy>
+struct AddRmsnorm2dRdquantFwdPipelineOnePass
+{
+    using Problem = ck_tile::remove_cvref_t<Problem_>;
+    using Policy  = ck_tile::remove_cvref_t<Policy_>;
+
+    using ADataType       = ck_tile::remove_cvref_t<typename Problem::ADataType>;
+    using BDataType       = ck_tile::remove_cvref_t<typename Problem::BDataType>;
+    using GammaDataType   = ck_tile::remove_cvref_t<typename Problem::GammaDataType>;
+    using ComputeDataType = ck_tile::remove_cvref_t<typename Problem::ComputeDataType>;
+    using XDataType       = ck_tile::remove_cvref_t<typename Problem::XDataType>;
+    using YScaleDataType  = ck_tile::remove_cvref_t<typename Problem::YScaleDataType>;
+    using QYDataType      = ck_tile::remove_cvref_t<typename Problem::QYDataType>;
+
+    static constexpr bool kHasGamma = !std::is_same_v<GammaDataType, ck_tile::null_type>;
+    static constexpr bool kSaveX    = Problem::kSaveX;
+
+    static constexpr bool kNeedCrossWarpSync = Problem::kNeedCrossWarpSync;
+    static constexpr bool kPadM   = false; // TODO - BlockAddRmsnorm2dRdquantFwdProblem::kPadM
+    static constexpr bool kPadN   = Problem::kPadN;
+    static constexpr bool UseMax3 = true; // TODO - Move to trait
+
+    static constexpr const char* name = []() {
+        if constexpr(kNeedCrossWarpSync)
+            return "bpr_op"; // block per row
+        else
+            return "wpr_op"; // warp per row
+    }();
+
+    CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
+    {
+        return Policy::template GetSmemSize<Problem>();
+    }
+
+    template <typename AWindow,
+              typename BWindow,
+              typename GammaWindow,
+              typename XWindow,
+              typename YScaleWindow,
+              typename QYWindow>
+    CK_TILE_DEVICE auto operator()(const AWindow& a_window_,
+                                   const BWindow& b_window_,
+                                   const GammaWindow& gamma_window_,
+                                   XWindow& x_window,
+                                   YScaleWindow& yscale_window,
+                                   QYWindow& qy_window,
+                                   ComputeDataType epsilon,
+                                   ck_tile::index_t row_size,
+                                   void* smem) const
+    {
+        const auto a_window =
+            make_tile_window(a_window_, Policy::template MakeABXBlockTileDistribution<Problem>());
+        const auto b_window =
+            make_tile_window(b_window_, Policy::template MakeABXBlockTileDistribution<Problem>());
+        const auto gamma_window = make_tile_window(
+            gamma_window_, Policy::template MakeGammaBlockTileDistribution<Problem>());
+
+        auto reduce_square_sum_func = ReduceOp::SquareAdd{};
+        auto reduce_sum_func        = ReduceOp::Add{};
+        auto reduce_absmax_func     = ReduceOp::AbsMax{};
+        auto reduce_absmax3_func    = [](auto acc_, auto v_0_, auto v_1_) {
+            float rtn;
+            asm volatile("v_max3_f32 %0, %1, abs(%2), abs(%3)"
+                         : "=v"(rtn)
+                         : "v"(acc_), "v"(v_0_), "v"(v_1_));
+            return rtn;
+        };
+        auto reduce_max_func     = ReduceOp::Max{};
+        auto block_reduce2d      = Policy::template GetBlockReduce2d<Problem>();
+        auto block_reduce2d_sync = Policy::template GetBlockReduce2dSync<Problem>();
+        auto block_reduce2d_cross_warp_sync =
+            Policy::template GetBlockReduce2dCrossWarpSync<Problem>();
+
+        const auto a     = load_tile(a_window);
+        const auto b     = load_tile(b_window);
+        const auto gamma = load_tile(gamma_window);
+
+        auto x = tile_elementwise_in(
+            [&](const auto& a_, const auto& b_) {
+                return type_convert<ComputeDataType>(a_) + type_convert<ComputeDataType>(b_);
+            },
+            a,
+            b);
+
+        if constexpr(kSaveX)
+            store_tile(x_window, cast_tile<XDataType>(x));
+
+        // compute mean square, each-thread->cross-lane->cross-warp
+        auto square_sum = block_reduce2d(
+            x, reduce_square_sum_func.GetIdentityValue<ComputeDataType>(), reduce_square_sum_func);
+        block_reduce2d_sync(square_sum, reduce_sum_func);
+        block_reduce2d_cross_warp_sync(square_sum, smem, reduce_sum_func);
+
+        auto inv_rms = tile_elementwise_in(
+            [&](const auto& v_) {
+                return type_convert<ComputeDataType>(1.0f) / (sqrt(v_ / row_size + epsilon));
+            },
+            square_sum);
+
+        // rmsnorm computation
+        auto y = make_static_distributed_tensor<ComputeDataType>(x.get_tile_distribution());
+        sweep_tile(y, [&, inv_rms_ = inv_rms](auto idx) {
+            constexpr auto i_idx = make_tuple(idx[number<0>{}]);
+            constexpr auto j_idx = make_tuple(idx[number<1>{}]);
+
+            const auto gamma_ = type_convert<ComputeDataType>(gamma[j_idx]);
+
+            const auto x_ = type_convert<ComputeDataType>(x[idx]);
+            auto y_       = x_ * inv_rms_[i_idx] * gamma_;
+
+            y(idx) = type_convert<ComputeDataType>(y_);
+        });
+
+        // compute absmax, each-thread->cross-lane->cross-warp
+        auto absmax = [&]() {
+            constexpr auto x_size_per_row =
+                x.get_tile_distribution().get_ys_to_d_descriptor().get_lengths().at(number<1>{});
+            if constexpr(UseMax3 && std::is_same_v<ComputeDataType, float> &&
+                         x_size_per_row % 2 == 0)
+            {
+                return block_reduce2d(y,
+                                      reduce_absmax_func.GetIdentityValue<ComputeDataType>(),
+                                      reduce_absmax3_func,
+                                      sequence<1, 2>{});
+            }
+            else
+            {
+                return block_reduce2d(
+                    y, reduce_absmax_func.GetIdentityValue<ComputeDataType>(), reduce_absmax_func);
+            }
+        }();
+        block_reduce2d_sync(absmax, reduce_max_func);
+        block_reduce2d_cross_warp_sync(absmax, smem, reduce_max_func);
+
+        // ex: yscale = absmax / 127 if int8
+        auto yscale = tile_elementwise_in(
+            [&](const auto& v_) {
+                return v_ / type_convert<ComputeDataType>(numeric<QYDataType>::max());
+            },
+            absmax);
+        store_tile(yscale_window, cast_tile<YScaleDataType>(yscale));
+
+        // quantize y to qy
+        auto qy = make_static_distributed_tensor<QYDataType>(y.get_tile_distribution());
+        sweep_tile(qy, [&, yscale_ = yscale](auto idx) {
+            constexpr auto i_idx = make_tuple(idx[number<0>{}]);
+            auto qy_             = y[idx] / yscale_[i_idx];
+            qy(idx)              = saturates<QYDataType>{}(qy_);
+        });
+        store_tile(qy_window, qy);
+    }
+};
+} // namespace ck_tile

include/ck_tile/ops/add_rmsnorm2d_rdquant/pipeline/add_rmsnorm2d_rdquant_fwd_pipeline_problem.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core/utility/type_traits.hpp"
+
+namespace ck_tile {
+
+// X = A + B, Y = Rmsnorm2d(X), QY = RowwiseDynamicQuant(Y) = SaturateCast(Y / YScale)
+template <typename ADataType_,
+          typename BDataType_,
+          typename GammaDataType_,
+          typename ComputeDataType_,
+          typename XDataType_,
+          typename YScaleDataType_,
+          typename QYDataType_,
+          typename BlockShape_,
+          bool kPadN_,
+          bool kSaveX_,
+          bool kThreePass_>
+struct AddRmsnorm2dRdquantFwdPipelineProblem
+{
+    using ADataType       = remove_cvref_t<ADataType_>;
+    using BDataType       = remove_cvref_t<BDataType_>;
+    using GammaDataType   = remove_cvref_t<GammaDataType_>;
+    using ComputeDataType = remove_cvref_t<ComputeDataType_>;
+    using XDataType       = remove_cvref_t<XDataType_>;
+    using YScaleDataType  = remove_cvref_t<YScaleDataType_>;
+    using QYDataType      = remove_cvref_t<QYDataType_>;
+    using BlockShape      = remove_cvref_t<BlockShape_>;
+
+    static constexpr bool kNeedCrossLaneSync = BlockShape::ThreadPerWarp_N > 1;
+    static constexpr bool kNeedCrossWarpSync = BlockShape::WarpPerBlock_N > 1;
+
+    static constexpr bool kPadN      = kPadN_;
+    static constexpr bool kSaveX     = kSaveX_;
+    static constexpr bool kThreePass = kThreePass_;
+};
+
+} // namespace ck_tile

include/ck_tile/ops/add_rmsnorm2d_rdquant/pipeline/add_rmsnorm2d_rdquant_fwd_pipeline_three_pass.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core.hpp"
+#include "ck_tile/ops/rmsnorm2d/pipeline/rmsnorm2d_fwd_pipeline_default_policy.hpp"
+#include <string>
+#include <type_traits>
+
+namespace ck_tile {
+
+template <typename Problem_, typename Policy_ = AddRmsnorm2dRdquantFwdPipelineDefaultPolicy>
+struct AddRmsnorm2dRdquantFwdPipelineThreePass
+{
+    using Problem = ck_tile::remove_cvref_t<Problem_>;
+    using Policy  = ck_tile::remove_cvref_t<Policy_>;
+
+    using ADataType       = ck_tile::remove_cvref_t<typename Problem::ADataType>;
+    using BDataType       = ck_tile::remove_cvref_t<typename Problem::BDataType>;
+    using GammaDataType   = ck_tile::remove_cvref_t<typename Problem::GammaDataType>;
+    using ComputeDataType = ck_tile::remove_cvref_t<typename Problem::ComputeDataType>;
+    using XDataType       = ck_tile::remove_cvref_t<typename Problem::XDataType>;
+    using YScaleDataType  = ck_tile::remove_cvref_t<typename Problem::YScaleDataType>;
+    using QYDataType      = ck_tile::remove_cvref_t<typename Problem::QYDataType>;
+
+    static constexpr bool kHasGamma = !std::is_same_v<GammaDataType, ck_tile::null_type>;
+    static constexpr bool kSaveX    = Problem::kSaveX;
+
+    static constexpr bool kNeedCrossWarpSync = Problem::kNeedCrossWarpSync;
+    static constexpr bool kPadM   = false; // TODO - BlockAddRmsnorm2dRdquantFwdProblem::kPadM
+    static constexpr bool kPadN   = Problem::kPadN;
+    static constexpr bool UseMax3 = true; // TODO - Move to trait
+
+    static constexpr const char* name = []() {
+        if constexpr(kNeedCrossWarpSync)
+            return "bpr_tp"; // block per row
+        else
+            return "wpr_tp"; // warp per row
+    }();
+
+    CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
+    {
+        return Policy::template GetSmemSize<Problem>();
+    }
+
+    template <typename AWindow,
+              typename BWindow,
+              typename GammaWindow,
+              typename XWindow,
+              typename YScaleWindow,
+              typename QYWindow>
+    CK_TILE_DEVICE auto operator()(const AWindow& a_window_,
+                                   const BWindow& b_window_,
+                                   const GammaWindow& gamma_window_,
+                                   XWindow& x_window_,
+                                   YScaleWindow& yscale_window,
+                                   QYWindow& qy_window,
+                                   ComputeDataType epsilon,
+                                   ck_tile::index_t row_size,
+                                   void* smem) const
+    {
+        auto a_window =
+            make_tile_window(a_window_, Policy::template MakeABXBlockTileDistribution<Problem>());
+        auto b_window =
+            make_tile_window(b_window_, Policy::template MakeABXBlockTileDistribution<Problem>());
+        auto x_window = [&]() {
+            if constexpr(kSaveX)
+                return make_tile_window(x_window_,
+                                        Policy::template MakeABXBlockTileDistribution<Problem>());
+            else
+                return x_window_;
+        }();
+        auto gamma_window = make_tile_window(
+            gamma_window_, Policy::template MakeGammaBlockTileDistribution<Problem>());
+
+        auto reduce_square_sum_func = ReduceOp::SquareAdd{};
+        auto reduce_sum_func        = ReduceOp::Add{};
+        auto reduce_absmax_func     = ReduceOp::AbsMax{};
+        auto reduce_absmax3_func    = [](auto acc_, auto v_0_, auto v_1_) {
+            float rtn;
+            asm volatile("v_max3_f32 %0, %1, abs(%2), abs(%3)"
+                         : "=v"(rtn)
+                         : "v"(acc_), "v"(v_0_), "v"(v_1_));
+            return rtn;
+        };
+        auto reduce_max_func     = ReduceOp::Max{};
+        auto block_reduce2d      = Policy::template GetBlockReduce2d<Problem>();
+        auto block_reduce2d_sync = Policy::template GetBlockReduce2dSync<Problem>();
+        auto block_reduce2d_cross_warp_sync =
+            Policy::template GetBlockReduce2dCrossWarpSync<Problem>();
+
+        static constexpr index_t Block_N = Problem::BlockShape::Block_N;
+        index_t num_n_tile_iteration =
+            __builtin_amdgcn_readfirstlane(integer_divide_ceil(row_size, Block_N));
+
+        using XTensorType = decltype(cast_tile<ComputeDataType>(load_tile(a_window)));
+        auto square_sum   = block_reduce2d.template MakeYBlockTile<XTensorType>();
+        set_tile(square_sum, reduce_square_sum_func.GetIdentityValue<ComputeDataType>());
+
+        for(int iN = __builtin_amdgcn_readfirstlane(0); iN < num_n_tile_iteration; ++iN)
+        {
+            const auto a = load_tile(a_window);
+            const auto b = load_tile(b_window);
+
+            auto x = tile_elementwise_in(
+                [&](const auto& a_, const auto& b_) {
+                    return type_convert<ComputeDataType>(a_) + type_convert<ComputeDataType>(b_);
+                },
+                a,
+                b);
+
+            if constexpr(kSaveX)
+                store_tile(x_window, cast_tile<XDataType>(x));
+
+            block_reduce2d(x, square_sum, reduce_square_sum_func);
+            move_tile_window(x_window, {0, Block_N});
+            move_tile_window(a_window, {0, Block_N});
+            move_tile_window(b_window, {0, Block_N});
+        }
+
+        block_reduce2d_sync(square_sum, reduce_sum_func);
+        block_reduce2d_cross_warp_sync(square_sum, smem, reduce_sum_func);
+
+        auto inv_rms = tile_elementwise_in(
+            [&](const auto& v_) {
+                return type_convert<ComputeDataType>(1.0f) / (sqrt(v_ / row_size + epsilon));
+            },
+            square_sum);
+
+        // reverse read x to reuse cache
+        ck_tile::index_t stride_to_right_most_window =
+            row_size % Block_N == 0 ? row_size - Block_N : row_size - row_size % Block_N;
+
+        if constexpr(kSaveX)
+            move_tile_window(x_window, {0, -Block_N});
+        else
+        {
+            move_tile_window(a_window, {0, -Block_N});
+            move_tile_window(b_window, {0, -Block_N});
+        }
+        move_tile_window(gamma_window, {stride_to_right_most_window});
+
+        using YTensorType = XTensorType;
+        auto absmax       = block_reduce2d.template MakeYBlockTile<YTensorType>();
+        set_tile(absmax, reduce_absmax_func.GetIdentityValue<ComputeDataType>());
+
+        // rmsnorm computation + absmax(threadwise reduce)
+        if constexpr(kSaveX)
+            __syncthreads();
+
+        for(int iN = __builtin_amdgcn_readfirstlane(0); iN < num_n_tile_iteration; ++iN)
+        {
+            auto x = [&]() {
+                if constexpr(kSaveX)
+                {
+                    return load_tile(x_window);
+                }
+                else
+                {
+                    const auto a = load_tile(a_window);
+                    const auto b = load_tile(b_window);
+                    return tile_elementwise_in(
+                        [&](const auto& a_, const auto& b_) {
+                            return type_convert<ComputeDataType>(a_) +
+                                   type_convert<ComputeDataType>(b_);
+                        },
+                        a,
+                        b);
+                }
+            }();
+
+            auto gamma = load_tile(gamma_window);
+            auto y     = make_static_distributed_tensor<ComputeDataType>(x.get_tile_distribution());
+
+            sweep_tile(y, [&](auto idx) {
+                constexpr auto i_idx = make_tuple(idx[number<0>{}]);
+                constexpr auto j_idx = make_tuple(idx[number<1>{}]);
+
+                const auto gamma_ = type_convert<ComputeDataType>(gamma[j_idx]);
+
+                const auto x_ = type_convert<ComputeDataType>(x[idx]);
+                auto y_       = x_ * inv_rms[i_idx] * gamma_;
+
+                y(idx) = type_convert<ComputeDataType>(y_);
+            });
+
+            constexpr auto x_size_per_row =
+                x.get_tile_distribution().get_ys_to_d_descriptor().get_lengths().at(number<1>{});
+            if constexpr(UseMax3 && std::is_same_v<ComputeDataType, float> &&
+                         x_size_per_row % 2 == 0)
+                block_reduce2d(y, absmax, reduce_absmax3_func, sequence<1, 2>{});
+            else
+                block_reduce2d(y, absmax, reduce_absmax_func);
+
+            if constexpr(kSaveX)
+                move_tile_window(x_window, {0, -Block_N});
+            else
+            {
+                move_tile_window(a_window, {0, -Block_N});
+                move_tile_window(b_window, {0, -Block_N});
+            }
+            move_tile_window(gamma_window, {-Block_N});
+        }
+
+        // compute absmax, cross-lane->cross-warp
+        block_reduce2d_sync(absmax, reduce_max_func);
+        block_reduce2d_cross_warp_sync(absmax, smem, reduce_max_func);
+
+        // ex: yscale = absmax / 127 if int8
+        auto yscale = tile_elementwise_in(
+            [&](const auto& v_) {
+                return v_ / type_convert<ComputeDataType>(numeric<QYDataType>::max());
+            },
+            absmax);
+        store_tile(yscale_window, cast_tile<YScaleDataType>(yscale));
+
+        // quantize y to qy
+        // recompute rmsnorm, try to save y in the future
+        if constexpr(kSaveX)
+            move_tile_window(x_window, {0, Block_N});
+        else
+        {
+            move_tile_window(a_window, {0, Block_N});
+            move_tile_window(b_window, {0, Block_N});
+        }
+        move_tile_window(gamma_window, {Block_N});
+
+        for(int iN = __builtin_amdgcn_readfirstlane(0); iN < num_n_tile_iteration; ++iN)
+        {
+            auto x = [&]() {
+                if constexpr(kSaveX)
+                {
+                    return load_tile(x_window);
+                }
+                else
+                {
+                    const auto a = load_tile(a_window);
+                    const auto b = load_tile(b_window);
+                    return tile_elementwise_in(
+                        [&](const auto& a_, const auto& b_) {
+                            return type_convert<ComputeDataType>(a_) +
+                                   type_convert<ComputeDataType>(b_);
+                        },
+                        a,
+                        b);
+                }
+            }();
+
+            auto gamma = load_tile(gamma_window);
+            auto y     = make_static_distributed_tensor<ComputeDataType>(x.get_tile_distribution());
+            auto qy    = make_static_distributed_tensor<QYDataType>(y.get_tile_distribution());
+
+            sweep_tile(y, [&](auto idx) {
+                constexpr auto i_idx = make_tuple(idx[number<0>{}]);
+                constexpr auto j_idx = make_tuple(idx[number<1>{}]);
+
+                const auto gamma_ = type_convert<ComputeDataType>(gamma[j_idx]);
+
+                const auto x_ = type_convert<ComputeDataType>(x[idx]);
+                auto y_       = x_ * inv_rms[i_idx] * gamma_;
+                auto qy_      = y_ / yscale[i_idx];
+                qy(idx)       = saturates<QYDataType>{}(qy_);
+            });
+
+            store_tile(qy_window, qy);
+
+            if constexpr(kSaveX)
+                move_tile_window(x_window, {0, Block_N});
+            else
+            {
+                move_tile_window(a_window, {0, Block_N});
+                move_tile_window(b_window, {0, Block_N});
+            }
+            move_tile_window(gamma_window, {Block_N});
+            move_tile_window(qy_window, {0, Block_N});
+        }
+    }
+};
+} // namespace ck_tile

include/ck_tile/ops/common.hpp

@@ -3,4 +3,5 @@
 
 #pragma once
 
+#include "ck_tile/ops/common/generic_2d_block_shape.hpp"
 #include "ck_tile/ops/common/tensor_layout.hpp"

include/ck_tile/ops/common/generic_2d_block_shape.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+namespace ck_tile {
+
+/*
+// clang-format off
+
+4-level descriptor: BlockTile-> WarpPerBlock-> WarpTile-> Vector
+
+                         Block_N (Warp_N * WarpPerBlock_N * Repeat_N )
+        +<----------------------< Repeat_N(2)>--------------------->+
+        |                                                           |
+        +<--    <WarpPerBlock_N(2)>  -->+
+            Warp_N
+        +--------------+--------------+--------------+--------------+----+----------------+
+ Warp_M | wrap_0       | wrap_1       |                             |    ^                ^
+        +--------------+--------------+                             |   <WarpPerBlock_M(2)> |
+        | wrap_2       | wrap_3       |                             |    v
+        +--------------+--------------+--------------+--------------+----+           Block_M
+        |                             |                             |
+        +                             +                             |
+        |                             |                             |                     v
+        +--------------+--------------+--------------+--------------+                     +
+
+        each Warp-tile (e.g 16 thrd per row)
+
+         Vector_N (contiguous pixels each thrd holds along N, or vector size)
+        +-----------+-----------+-----------+-----------+-----------+
+        | thrd_0    | thrd_1    | thrd_2    | thrd_3    | ...         Vector_M
+        +-----------+-----------+-----------+-----------+-----------+
+        | thrd_16   | thrd_17   | thrd_18   | thrd_19   | ...
+        +-----------+-----------+-----------+-----------+-----------+
+// clang-format on
+*/
+template <typename BlockTile_,    // block size, seq<M, N>
+          typename WarpPerBlock_, // num warps along seq<M, N>
+          typename WarpTile_,     // warp size, seq<M, N>
+          typename Vector_>       // contiguous pixels(vector size) along seq<M, N>)>
+struct Generic2dBlockShape
+{
+    // block size
+    static constexpr index_t Block_M = BlockTile_::at(number<0>{});
+    static constexpr index_t Block_N = BlockTile_::at(number<1>{});
+
+    // num warps along seq<M, N>, within each block
+    static constexpr index_t WarpPerBlock_M = WarpPerBlock_::at(number<0>{});
+    static constexpr index_t WarpPerBlock_N = WarpPerBlock_::at(number<1>{});
+
+    // warp size
+    static constexpr index_t Warp_M = WarpTile_::at(number<0>{});
+    static constexpr index_t Warp_N = WarpTile_::at(number<1>{});
+
+    static_assert(Block_M % (WarpPerBlock_M * Warp_M) == 0);
+    static_assert(Block_N % (WarpPerBlock_N * Warp_N) == 0);
+    // repeat of each thread along seq<M, N>
+    static constexpr index_t Repeat_M = Block_M / (WarpPerBlock_M * Warp_M);
+    static constexpr index_t Repeat_N = Block_N / (WarpPerBlock_N * Warp_N);
+
+    // vector size along seq<M, N>
+    static constexpr index_t Vector_M = Vector_::at(number<0>{});
+    static constexpr index_t Vector_N = Vector_::at(number<1>{});
+
+    static_assert(Warp_M % Vector_M == 0);
+    static_assert(Warp_N % Vector_N == 0);
+    // num of threads along seq<M, N>, within each warp
+    static constexpr index_t ThreadPerWarp_M  = Warp_M / Vector_M;
+    static constexpr index_t ThreadPerWarp_N  = Warp_N / Vector_N;
+    static constexpr index_t ThreadPerBlock_M = Block_M / Repeat_M / Vector_M;
+    static constexpr index_t ThreadPerBlock_N = Block_N / Repeat_N / Vector_N;
+
+    static constexpr index_t BlockSize = ThreadPerBlock_M * ThreadPerBlock_N;
+};
+
+} // namespace ck_tile

include/ck_tile/ops/welford.hpp → include/ck_tile/ops/elementwise.hpp

@@ -3,6 +3,6 @@
 
 #pragma once
 
-#include "ck_tile/ops/welford/thread/thread_welford.hpp"
-#include "ck_tile/ops/welford/warp/warp_welford.hpp"
+#include "ck_tile/ops/elementwise/unary_element_wise_operation.hpp"
+#include "ck_tile/ops/common/generic_2d_block_shape.hpp"
 #include "ck_tile/ops/common/tensor_layout.hpp"

include/ck_tile/ops/elementwise/unary_element_wise_operation.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core.hpp"
+#include <type_traits>
+
+namespace ck_tile {
+namespace element_wise {
+
+#if 0
+struct PassThroughPack2
+{
+    template <typename Y, typename X>
+    CK_TILE_HOST_DEVICE void operator()(Y& y, const X& x) const;
+
+    CK_TILE_HOST_DEVICE constexpr void operator()(ck_tile::half2_t& y, const ck_tile::f8x2_t& x) const
+    {
+        auto t = type_convert<float2_t>(x);
+        y      = type_convert<half2_t>(t);
+    }
+    constexpr const static bool is_pack2_invocable = true;
+};
+#endif
+
+struct PassThrough
+{
+    template <typename Y, typename X>
+    CK_TILE_HOST_DEVICE void operator()(Y& y, const X& x) const;
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<double, double>(double& y, const double& x) const
+    {
+        y = x;
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<float, double>(float& y, const double& x) const
+    {
+        y = type_convert<float>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<double, float>(double& y, const float& x) const
+    {
+        y = type_convert<double>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<float, float>(float& y, const float& x) const
+    {
+        y = x;
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::fp16_t, ck_tile::fp16_t>(ck_tile::fp16_t& y, const ck_tile::fp16_t& x) const
+    {
+        y = x;
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<ck_tile::fp16_t, float>(ck_tile::fp16_t& y,
+                                                                const float& x) const
+    {
+        y = type_convert<ck_tile::fp16_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::bf16_t, ck_tile::bf16_t>(ck_tile::bf16_t& y, const ck_tile::bf16_t& x) const
+    {
+        y = x;
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<int32_t, int32_t>(int32_t& y, const int32_t& x) const
+    {
+        y = x;
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<ck_tile::bf16_t, float>(ck_tile::bf16_t& y,
+                                                                const float& x) const
+    {
+        y = type_convert<ck_tile::bf16_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<float, ck_tile::bf16_t>(float& y,
+                                                                const ck_tile::bf16_t& x) const
+    {
+        y = type_convert<float>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::bf16_t, ck_tile::fp16_t>(ck_tile::bf16_t& y, const ck_tile::fp16_t& x) const
+    {
+        y = type_convert<ck_tile::bf16_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<float, ck_tile::fp16_t>(float& y,
+                                                                const ck_tile::fp16_t& x) const
+    {
+        y = type_convert<float>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<int8_t, int8_t>(int8_t& y, const int8_t& x) const
+    {
+        y = x;
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<ck_tile::fp16_t, int8_t>(ck_tile::fp16_t& y,
+                                                                 const int8_t& x) const
+    {
+        y = type_convert<ck_tile::fp16_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<ck_tile::bf16_t, int8_t>(ck_tile::bf16_t& y,
+                                                                 const int8_t& x) const
+    {
+        y = type_convert<ck_tile::bf16_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<uint8_t, uint8_t>(uint8_t& y, const uint8_t& x) const
+    {
+        y = x;
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<int8_t, int32_t>(int8_t& y, const int32_t& x) const
+    {
+        y = type_convert<int8_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<int32_t, int8_t>(int32_t& y, const int8_t& x) const
+    {
+        y = type_convert<int32_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<int8_t, float>(int8_t& y, const float& x) const
+    {
+        y = type_convert<int8_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<float, int8_t>(float& y, const int8_t& x) const
+    {
+        y = type_convert<float>(x);
+    }
+
+#ifdef CK_TILE_EXPERIMENTAL_BIT_INT_EXTENSION_INT4
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<int4_t, int4_t>(int4_t& y, const int4_t& x) const
+    {
+        y = x;
+    }
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<int4_t, int>(int4_t& y, const int& x) const
+    {
+        y = type_convert<int4_t>(x);
+    }
+#endif
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::fp8_t, ck_tile::fp8_t>(ck_tile::fp8_t& y, const ck_tile::fp8_t& x) const
+    {
+        y = x;
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<float, ck_tile::fp8_t>(float& y,
+                                                               const ck_tile::fp8_t& x) const
+    {
+        y = type_convert<float>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<ck_tile::fp8_t, float>(ck_tile::fp8_t& y,
+                                                               const float& x) const
+    {
+        y = type_convert<ck_tile::fp8_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::fp16_t, ck_tile::fp8_t>(ck_tile::fp16_t& y, const ck_tile::fp8_t& x) const
+    {
+        y = type_convert<ck_tile::fp16_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::fp8_t, ck_tile::fp16_t>(ck_tile::fp8_t& y, const ck_tile::fp16_t& x) const
+    {
+        y = type_convert<ck_tile::fp8_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::bf8_t, ck_tile::bf8_t>(ck_tile::bf8_t& y, const ck_tile::bf8_t& x) const
+    {
+        y = x;
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<float, ck_tile::bf8_t>(float& y,
+                                                               const ck_tile::bf8_t& x) const
+    {
+        y = type_convert<float>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<ck_tile::bf8_t, float>(ck_tile::bf8_t& y,
+                                                               const float& x) const
+    {
+        y = type_convert<ck_tile::bf8_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::fp16_t, ck_tile::bf8_t>(ck_tile::fp16_t& y, const ck_tile::bf8_t& x) const
+    {
+        y = type_convert<ck_tile::fp16_t>(x);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::bf8_t, ck_tile::fp16_t>(ck_tile::bf8_t& y, const ck_tile::fp16_t& x) const
+    {
+        y = ck_tile::type_convert<ck_tile::bf8_t>(x);
+    }
+};
+
+#if 0
+struct UnaryConvert
+{
+    template <typename Y, typename X>
+    CK_TILE_HOST_DEVICE void operator()(Y& y, const X& x) const
+    {
+        y = type_convert<Y>(x);
+    }
+};
+
+struct ConvertBF16RTN
+{
+    // convert to bf16 using round to nearest (rtn)
+    template <typename Y, typename X>
+    CK_TILE_HOST_DEVICE void operator()(Y& y, const X& x) const
+    {
+        // check Y datatype
+        static_assert(std::is_same_v<Y, ck_tile::bf16_t>, "Data type is not supported by this operation!");
+
+        // check X datatype
+        static_assert(std::is_same_v<X, float> || std::is_same_v<X, ck_tile::fp16_t>,
+                      "Data type is not supported by this operation!");
+
+        y = bf16_convert_rtn<Y>(x);
+    }
+};
+
+struct ConvertF8SR
+{
+    // convert to fp8 using stochastic rounding (SR)
+    template <typename Y, typename X>
+    CK_TILE_HOST_DEVICE void operator()(Y& y, const X& x) const
+    {
+        // check Y datatype
+        static_assert(std::is_same_v<Y, ck_tile::fp8_t> || std::is_same_v<Y, ck_tile::bf8_t>,
+                      "Data type is not supported by this operation!");
+
+        // check X datatype
+        static_assert(std::is_same_v<X, float> || std::is_same_v<X, ck_tile::fp16_t>,
+                      "Data type is not supported by this operation!");
+
+        y = f8_convert_sr<Y>(x);
+    }
+};
+
+struct ConvertF8RNE
+{
+    // convert to fp8 using rounding to nearest even
+    template <typename Y, typename X>
+    CK_TILE_HOST_DEVICE void operator()(Y& y, const X& x) const
+    {
+        // check Y datatype
+        static_assert(std::is_same_v<Y, ck_tile::fp8_t> || std::is_same_v<Y, ck_tile::bf8_t>,
+                      "Data type is not supported by this operation!");
+
+        // check X datatype
+        static_assert(std::is_same_v<X, float> || std::is_same_v<X, ck_tile::fp16_t>,
+                      "Data type is not supported by this operation!");
+
+        y = f8_convert_rne<Y>(x);
+    }
+};
+#endif
+
+struct Scale
+{
+    CK_TILE_HOST_DEVICE Scale(float scale = 1.f) : scale_(scale) {}
+
+    template <typename Y, typename X>
+    CK_TILE_HOST_DEVICE void operator()(Y& y, const X& x) const
+    {
+        y = ck_tile::type_convert<Y>(ck_tile::type_convert<float>(x) * scale_);
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::fp16_t, ck_tile::fp16_t>(ck_tile::fp16_t& y, const ck_tile::fp16_t& x) const
+    {
+        y = ck_tile::type_convert<ck_tile::fp16_t>(scale_) * x;
+    };
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::bf16_t, ck_tile::bf16_t>(ck_tile::bf16_t& y, const ck_tile::bf16_t& x) const
+    {
+        const float x_tmp = ck_tile::type_convert<float>(x);
+        const float y_tmp = scale_ * x_tmp;
+        y                 = ck_tile::type_convert<ck_tile::bf16_t>(y_tmp);
+    };
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<float, float>(float& y, const float& x) const
+    {
+        y = scale_ * x;
+    };
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<double, double>(double& y, const double& x) const
+    {
+        y = scale_ * x;
+    };
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<int8_t, int8_t>(int8_t& y, const int8_t& x) const
+    {
+        y = ck_tile::type_convert<int8_t>(scale_ * ck_tile::type_convert<float>(x));
+    };
+
+    float scale_;
+};
+
+struct ScaleAndResetNaNToMinusInfinity
+{
+    CK_TILE_HOST_DEVICE ScaleAndResetNaNToMinusInfinity(float scale) : scale_(scale) {}
+
+    template <typename Y, typename X>
+    CK_TILE_HOST_DEVICE void operator()(Y& y, const X& x) const;
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<float, float>(float& y, const float& x) const
+    {
+        y = ck_tile::isnan(x) ? -numeric<float>::infinity() : scale_ * x;
+    };
+
+    float scale_;
+};
+
+struct UnaryDivide
+{
+    CK_TILE_HOST_DEVICE UnaryDivide(const int32_t divider = 1) : divider_(divider) {}
+
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = x / type_convert<T>(divider_);
+    };
+
+    int32_t divider_ = 1;
+};
+
+struct UnarySquare
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, ck_tile::fp16_t> ||
+                          std::is_same_v<T, double> || std::is_same_v<T, int32_t> ||
+                          std::is_same_v<T, int8_t>
+#ifdef CK_TILE_EXPERIMENTAL_BIT_INT_EXTENSION_INT4
+                          || std::is_same_v<T, int4_t>
+#endif
+                      ,
+                      "Data type is not supported by this operation!");
+        y = x * x;
+    };
+};
+
+struct UnaryAbs
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int32_t> ||
+                          std::is_same_v<T, int8_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::abs(x);
+    };
+};
+
+struct UnarySqrt
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::sqrt(x);
+    };
+};
+
+struct Relu
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int32_t> ||
+                          std::is_same_v<T, int8_t>,
+                      "Data type is not supported by this operation!");
+        y = x > 0 ? x : 0;
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()(ck_tile::bf16_t& y, const ck_tile::bf16_t& x) const
+    {
+        float x_f32 = ck_tile::type_convert<float>(x);
+        float y_f32 = x_f32 > 0 ? x_f32 : 0;
+        y           = ck_tile::type_convert<ck_tile::bf16_t>(y_f32);
+    }
+};
+
+// Fast GeLU
+// https://paperswithcode.com/method/gelu
+// y = 0.5*x*(1+tanh(sqrt(2/pi)*(x+0.044715*x^3)))
+// host code use higher accuracy "exp" and "div"
+// gpu code use lower accuracy "_ocml_exp_f32" and "rcp" function
+struct FastGelu
+{
+    template <typename Y, typename X>
+    CK_TILE_HOST void operator()(Y& y, const X& x) const;
+
+    template <typename Y, typename X>
+    CK_TILE_DEVICE void operator()(Y& y, const X& x) const;
+
+    template <>
+    CK_TILE_HOST void operator()<float, float>(float& y, const float& x) const
+    {
+        // const float u   = -2.f * x * (0.035677f * x * x + 0.797885f);
+        const float c1  = -2.0 * 0.035677f;
+        const float c2  = -2.0 * 0.797885f;
+        const float u   = x * (c1 * x * x + c2);
+        const float emu = exp(u);
+        y               = x / (1.f + emu);
+    }
+
+    // device code, use lower precision "__ocml_exp_f32" and "rcp"
+    template <>
+    CK_TILE_DEVICE void operator()<float, float>(float& y, const float& x) const
+    {
+        // const float u   = 2.f * x * (0.035677f * x * x + 0.797885f);
+        const float c1  = -2.0 * 0.035677f;
+        const float c2  = -2.0 * 0.797885f;
+        const float u   = x * (c1 * x * x + c2);
+        const float emu = __ocml_exp_f32(u);
+
+        y = x * ck_tile::rcp(1.f + emu);
+    }
+
+    template <>
+    CK_TILE_HOST void operator()<ck_tile::fp16_t, ck_tile::fp16_t>(ck_tile::fp16_t& y,
+                                                                   const ck_tile::fp16_t& x) const
+    {
+        float y_f;
+
+        this->operator()<float, float>(y_f, type_convert<float>(x));
+
+        y = type_convert<ck_tile::fp16_t>(y_f);
+    }
+
+    template <>
+    CK_TILE_DEVICE void operator()<ck_tile::fp16_t, ck_tile::fp16_t>(ck_tile::fp16_t& y,
+                                                                     const ck_tile::fp16_t& x) const
+    {
+        float y_f;
+
+        this->operator()<float, float>(y_f, type_convert<float>(x));
+
+        y = type_convert<ck_tile::fp16_t>(y_f);
+    }
+
+    template <>
+    CK_TILE_HOST void operator()<ck_tile::fp16_t, float>(ck_tile::fp16_t& y, const float& x) const
+    {
+        float y_f;
+
+        this->operator()<float, float>(y_f, x);
+
+        y = type_convert<ck_tile::fp16_t>(y_f);
+    }
+
+    template <>
+    CK_TILE_DEVICE void operator()<ck_tile::fp16_t, float>(ck_tile::fp16_t& y, const float& x) const
+    {
+        float y_f;
+
+        this->operator()<float, float>(y_f, x);
+
+        y = type_convert<ck_tile::fp16_t>(y_f);
+    }
+
+    template <>
+    CK_TILE_HOST void operator()<ck_tile::bf16_t, float>(ck_tile::bf16_t& y, const float& x) const
+    {
+        float y_f;
+
+        this->operator()<float, float>(y_f, x);
+
+        y = type_convert<ck_tile::bf16_t>(y_f);
+    }
+
+    template <>
+    CK_TILE_DEVICE void operator()<ck_tile::bf16_t, float>(ck_tile::bf16_t& y, const float& x) const
+    {
+        float y_f;
+
+        this->operator()<float, float>(y_f, x);
+
+        y = type_convert<ck_tile::bf16_t>(y_f);
+    }
+
+    template <>
+    CK_TILE_DEVICE void operator()<ck_tile::bf16_t, ck_tile::bf16_t>(ck_tile::bf16_t& y,
+                                                                     const ck_tile::bf16_t& x) const
+    {
+        float y_f;
+
+        this->operator()<float, float>(y_f, type_convert<float>(x));
+
+        y = type_convert<ck_tile::bf16_t>(y_f);
+    }
+
+    template <>
+    CK_TILE_HOST void operator()<ck_tile::bf16_t, ck_tile::bf16_t>(ck_tile::bf16_t& y,
+                                                                   const ck_tile::bf16_t& x) const
+    {
+        float y_f;
+
+        this->operator()<float, float>(y_f, type_convert<float>(x));
+
+        y = type_convert<ck_tile::bf16_t>(y_f);
+    }
+};
+
+struct FastGeluAsm
+{
+    template <typename Y, typename X>
+    CK_TILE_HOST void operator()(Y& y, const X& x) const;
+
+    template <typename Y, typename X>
+    CK_TILE_DEVICE void operator()(Y& y, const X& x) const;
+
+    template <>
+    CK_TILE_HOST void operator()<float, float>(float& y, const float& x) const
+    {
+        // const float u   = -2.f * x * (0.035677f * x * x + 0.797885f);
+        const float c1  = -2.0 * 0.035677f;
+        const float c2  = -2.0 * 0.797885f;
+        const float u   = x * (c1 * x * x + c2);
+        const float emu = exp(u);
+        y               = x / (1.f + emu);
+    }
+
+    // device code, use lower precision "__ocml_exp_f32" and "rcp"
+    template <>
+    CK_TILE_DEVICE void operator()<float, float>(float& y, const float& x) const
+    {
+        const uint32_t c1     = 0xbd92220c; // -2.0 * 0.035677f;
+        const float c2        = -2.0 * 0.797885f;
+        const uint32_t log2e_ = 0x3fb8aa3b; // log2e_v<float>;
+        float tmp;
+
+        asm volatile("v_mul_f32 %[v_tmp], %[v_x], %[v_x]        ; x*x\n"
+                     "v_fma_f32 %[v_tmp], %[v_tmp], %[s_c1], %[v_c2]  ; c1*x*x+c2\n"
+                     "v_mul_f32 %[v_tmp], %[v_tmp], %[v_x]      ; x*(c1*x*x+c2)\n"
+                     "v_mul_f32 %[v_tmp], %[v_tmp], %[s_log2e]  ; log2e*x*(c1*x*x+c2)\n"
+                     "v_exp_f32 %[v_tmp], %[v_tmp]              ; emu = exp2(log2e*x*(c1*x*x+c2))\n"
+                     "s_nop 0                                   ; hazard for exp\n"
+                     "v_add_f32 %[v_tmp], %[v_tmp], 1.0         ; emu+1.0f\n"
+                     "v_rcp_f32 %[v_tmp], %[v_tmp]              ; 1/(emu+1.0f)\n"
+                     "s_nop 0                                   ; hazard for rcp \n"
+                     "v_mul_f32 %[v_y], %[v_tmp], %[v_x]        ; x * 1/(emu+1f)\n"
+                     : [v_y] "=v"(y), [v_tmp] "+v"(tmp)
+                     : [v_x] "v"(x), [s_c1] "s"(c1), [v_c2] "v"(c2), [s_log2e] "s"(log2e_)
+                     :);
+    }
+
+    template <>
+    CK_TILE_HOST void operator()<fp32x2_t, fp32x2_t>(fp32x2_t& y, const fp32x2_t& x) const
+    {
+        const float c1   = -2.0 * 0.035677f;
+        const float c2   = -2.0 * 0.797885f;
+        const float u0   = x.x * (c1 * x.x * x.x + c2);
+        const float emu0 = exp(u0);
+        y.x              = x.x / (1.f + emu0);
+        const float u1   = x.y * (c1 * x.y * x.y + c2);
+        const float emu1 = exp(u1);
+        y.y              = x.y / (1.f + emu1);
+    }
+
+    // this is packed verion to remove data hazard for trans
+    template <>
+    CK_TILE_DEVICE void operator()<fp32x2_t, fp32x2_t>(fp32x2_t& y, const fp32x2_t& x) const
+    {
+        const uint32_t c1     = 0xbd92220c; // -2.0 * 0.035677f;
+        float c2              = -2.0 * 0.797885f;
+        const uint32_t log2e_ = 0x3fb8aa3b; // log2e_v<float>;
+        float tmp0, tmp1;
+        float y0 = x.x, y1 = x.y;
+
+        asm volatile(
+            "v_mul_f32 %[v_tmp0], %[v_y0], %[v_y0]        ; x*x\n"
+            "v_mul_f32 %[v_tmp1], %[v_y1], %[v_y1]        ; x*x\n"
+            "v_fma_f32 %[v_tmp0], %[v_tmp0], %[s_c1], %[v_c2]  ; c1*x*x+c2\n"
+            "v_fma_f32 %[v_tmp1], %[v_tmp1], %[s_c1], %[v_c2]  ; c1*x*x+c2\n"
+            "v_mul_f32 %[v_tmp0], %[v_tmp0], %[v_y0]      ; x*(c1*x*x+c2)\n"
+            "v_mul_f32 %[v_tmp1], %[v_tmp1], %[v_y1]      ; x*(c1*x*x+c2)\n"
+            "v_mul_f32 %[v_tmp0], %[v_tmp0], %[s_log2e]  ; log2e*x*(c1*x*x+c2)\n"
+            "v_mul_f32 %[v_tmp1], %[v_tmp1], %[s_log2e]  ; log2e*x*(c1*x*x+c2)\n"
+            "v_exp_f32 %[v_tmp0], %[v_tmp0]              ; emu = exp2(log2e*x*(c1*x*x+c2))\n"
+            "v_exp_f32 %[v_tmp1], %[v_tmp1]              ; emu = exp2(log2e*x*(c1*x*x+c2))\n"
+            "v_add_f32 %[v_tmp0], %[v_tmp0], 1.0         ; emu+1.0f\n"
+            "v_add_f32 %[v_tmp1], %[v_tmp1], 1.0         ; emu+1.0f\n"
+            "v_rcp_f32 %[v_tmp0], %[v_tmp0]              ; 1/(emu+1.0f)\n"
+            "v_rcp_f32 %[v_tmp1], %[v_tmp1]              ; 1/(emu+1.0f)\n"
+            "v_mul_f32 %[v_y0], %[v_tmp0], %[v_y0]        ; x * 1/(emu+1f)\n"
+            "v_mul_f32 %[v_y1], %[v_tmp1], %[v_y1]        ; x * 1/(emu+1f)\n"
+            : [v_y0] "+v"(y0),
+              [v_y1] "+v"(y1),
+              [v_c2] "+v"(c2),
+              // NOTE! it is totally possible that c2/y0/y1 share same register, they are all local
+              // tmp variables we need to expicitly hint compiler they may read+write, to allow
+              // allocate different register , the side effect is c2=** may issue for every such
+              // inline asm block
+              [v_tmp0] "+v"(tmp0),
+              [v_tmp1] "+v"(tmp1)
+            : [s_c1] "s"(c1), [s_log2e] "s"(log2e_)
+            :);
+        y.x = y0;
+        y.y = y1;
+    }
+};
+
+// https://paperswithcode.com/method/gelu
+// y = 0.5*x*(1+erf(x/sqrt(2)))
+struct Gelu
+{
+    template <typename Y, typename X>
+    CK_TILE_HOST_DEVICE void operator()(Y& y, const X& x) const;
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<float, float>(float& y, const float& x) const
+    {
+        y = 0.5f * x * (1.f + erf(float(0.70710678118f * x)));
+    }
+
+    template <>
+    CK_TILE_HOST_DEVICE void
+    operator()<ck_tile::fp16_t, ck_tile::fp16_t>(ck_tile::fp16_t& y, const ck_tile::fp16_t& x) const
+    {
+        y = ck_tile::fp16_t(0.5) * x *
+            (ck_tile::fp16_t(1) + ck_tile::fp16_t(erf(float(0.70710678118f * x))));
+    }
+};
+
+struct Sigmoid
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+        constexpr T one = type_convert<T>(1);
+        y               = one / (one + ck_tile::exp(-x));
+    };
+};
+
+struct Silu
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+        constexpr T one = type_convert<T>(1);
+        y               = x * (one / (one + ck_tile::exp(-x)));
+    };
+};
+
+struct TanH
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::tanh(x);
+    };
+};
+
+struct ACos
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::acos(x);
+    };
+};
+
+struct Neg
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::neg(x);
+    };
+};
+
+struct ATan
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::atan(x);
+    };
+};
+
+struct Sin
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::sin(x);
+    };
+};
+
+struct ASinH
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::asinh(x);
+    };
+};
+
+struct Cos
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::cos(x);
+    };
+};
+
+struct ACosH
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::acosh(x);
+    };
+};
+
+struct Tan
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::tan(x);
+    };
+};
+
+struct ATanH
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::atanh(x);
+    };
+};
+
+struct SinH
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::sinh(x);
+    };
+};
+
+struct Ceil
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::ceil(x);
+    };
+};
+
+struct Exp
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::exp(x);
+    };
+};
+
+struct CosH
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::cosh(x);
+    };
+};
+
+struct Floor
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::floor(x);
+    };
+};
+
+struct Log
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::log(x);
+    };
+};
+
+struct ASin
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::asin(x);
+    };
+};
+
+struct Rcp
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int8_t> ||
+                          std::is_same_v<T, int32_t>,
+                      "Data type is not supported by this operation!");
+
+        y = ck_tile::rcp(x);
+    };
+};
+
+struct Swish
+{
+    Swish(float beta = 1.0f) : beta_(beta) {}
+
+    template <typename Y, typename X>
+    CK_TILE_HOST_DEVICE void operator()(Y& y, const X& x) const
+    {
+        static_assert(std::is_same_v<X, float> || std::is_same_v<X, double> ||
+                          std::is_same_v<X, ck_tile::fp16_t>,
+                      "Data type is not supported by this operation!");
+
+        static_assert(std::is_same_v<Y, float> || std::is_same_v<Y, double> ||
+                          std::is_same_v<Y, ck_tile::fp16_t>,
+                      "Data type is not supported by this operation!");
+
+        float bx = -beta_ * type_convert<float>(x);
+        y        = type_convert<Y>(x / (1.f + ck_tile::exp(bx)));
+    };
+
+    const float beta_;
+};
+
+struct SoftRelu
+{
+    SoftRelu(float alpha = 1.f) : alpha_(alpha){};
+
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int32_t> ||
+                          std::is_same_v<T, int8_t>,
+                      "Data type is not supported by this operation!");
+        T casted_alpha  = type_convert<T>(alpha_);
+        constexpr T one = type_convert<T>(1);
+        y               = ck_tile::log(one + ck_tile::exp(x * casted_alpha)) / casted_alpha;
+    }
+    const float alpha_;
+};
+
+struct Power
+{
+    Power(float alpha = 0.f, float beta = 1.f, float gamma = 2.f)
+        : alpha_(alpha), beta_(beta), gamma_(gamma){};
+
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int32_t> ||
+                          std::is_same_v<T, int8_t>,
+                      "Data type is not supported by this operation!");
+        T casted_alpha     = type_convert<T>(alpha_);
+        T casted_beta      = type_convert<T>(beta_);
+        T casted_gamma     = type_convert<T>(gamma_);
+        T shifted_scaled_x = casted_alpha + casted_beta * x;
+        y                  = ck_tile::pow(shifted_scaled_x, casted_gamma);
+    }
+    const float alpha_;
+    const float beta_;
+    const float gamma_;
+};
+
+struct ClippedRelu
+{
+    ClippedRelu(float alpha = 0.f, float beta = 1.f) : alpha_(alpha), beta_(beta){};
+
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int32_t> ||
+                          std::is_same_v<T, int8_t>,
+                      "Data type is not supported by this operation!");
+        T casted_alpha = type_convert<T>(alpha_);
+        T casted_beta  = type_convert<T>(beta_);
+        y              = ck_tile::min(casted_beta, ck_tile::max(casted_alpha, x));
+    }
+    const float alpha_;
+    const float beta_;
+};
+
+struct LeakyRelu
+{
+    LeakyRelu(float alpha = 0.01f) : alpha_(alpha){};
+
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int32_t> ||
+                          std::is_same_v<T, int8_t>,
+                      "Data type is not supported by this operation!");
+        T casted_alpha = type_convert<T>(alpha_);
+        y              = x >= 0 ? x : x * casted_alpha;
+    }
+    const float alpha_;
+};
+
+struct Elu
+{
+    Elu(float alpha = 1.f) : alpha_(alpha){};
+
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int32_t> ||
+                          std::is_same_v<T, int8_t>,
+                      "Data type is not supported by this operation!");
+        T casted_alpha = type_convert<T>(alpha_);
+        y              = x > 0 ? x : casted_alpha * ck_tile::expm1(x);
+    }
+    const float alpha_;
+};
+
+struct Logistic
+{
+    Logistic(float alpha = 1.f) : alpha_(alpha){};
+
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(T& y, const T& x) const
+    {
+        static_assert(std::is_same_v<T, float> || std::is_same_v<T, double> ||
+                          std::is_same_v<T, ck_tile::fp16_t> || std::is_same_v<T, int32_t> ||
+                          std::is_same_v<T, int8_t>,
+                      "Data type is not supported by this operation!");
+        T casted_alpha  = type_convert<T>(alpha_);
+        constexpr T one = type_convert<T>(1);
+        y               = casted_alpha / (one + ck_tile::exp(-x) * casted_alpha);
+    }
+    const float alpha_;
+};
+
+struct ConvInvscale
+{
+    CK_TILE_HOST_DEVICE
+    ConvInvscale(float scale_in = 1.f, float scale_wei = 1.f, float scale_out = 1.f)
+        : scale_in_(scale_in), scale_wei_(scale_wei), scale_out_(scale_out)
+    {
+    }
+
+    template <typename E, typename C>
+    CK_TILE_HOST_DEVICE void operator()(E& e, const C& c) const;
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<ck_tile::fp8_t, float>(ck_tile::fp8_t& e,
+                                                               const float& c) const
+    {
+        e = type_convert<ck_tile::fp8_t>(c / scale_in_ / scale_wei_ / scale_out_);
+    };
+
+    float scale_in_;
+    float scale_wei_;
+    float scale_out_;
+};
+
+struct ConvScale
+{
+    CK_TILE_HOST_DEVICE
+    ConvScale(float scale_in = 1.f, float scale_wei = 1.f, float scale_out = 1.f)
+        : scale_in_(scale_in), scale_wei_(scale_wei), scale_out_(scale_out)
+    {
+    }
+
+    template <typename E, typename C>
+    CK_TILE_HOST_DEVICE void operator()(E& e, const C& c) const;
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<ck_tile::fp8_t, float>(ck_tile::fp8_t& e,
+                                                               const float& c) const
+    {
+        e = type_convert<ck_tile::fp8_t>(c * scale_in_ * scale_wei_ * scale_out_);
+    };
+
+    float scale_in_;
+    float scale_wei_;
+    float scale_out_;
+};
+
+struct ConvScaleRelu
+{
+    CK_TILE_HOST_DEVICE
+    ConvScaleRelu(float scale_in = 1.f, float scale_wei = 1.f, float scale_out = 1.f)
+        : scale_in_(scale_in), scale_wei_(scale_wei), scale_out_(scale_out)
+    {
+    }
+
+    template <typename E, typename C>
+    CK_TILE_HOST_DEVICE void operator()(E& e, const C& c) const;
+
+    template <>
+    CK_TILE_HOST_DEVICE void operator()<ck_tile::fp8_t, float>(ck_tile::fp8_t& e,
+                                                               const float& c) const
+    {
+        float x;
+        Relu{}.template operator()<float>(x, c * scale_in_ * scale_wei_);
+        e = type_convert<ck_tile::fp8_t>(x * scale_out_);
+    };
+
+    float scale_in_;
+    float scale_wei_;
+    float scale_out_;
+};
+
+template <typename DstType, typename SrcType>
+struct Cast
+{
+    template <typename T>
+    CK_TILE_HOST_DEVICE void operator()(DstType& y, const SrcType& x) const
+    {
+        y = ck_tile::type_convert<DstType>(x);
+    };
+};
+
+// support fastconvert of int8 to fp16
+#if 0
+template <typename InputDataType, typename OutputDataType, index_t RegPackNumber>
+struct FastNumericArrayConverter
+{
+};
+
+template <>
+struct FastNumericArrayConverter<uint8_t, ck_tile::fp16_t, 4>
+{
+    using InputArray  = vector_type<uint8_t, 4>;
+    using OutputArray = vector_type<ck_tile::fp16_t, 4>;
+
+    CK_TILE_DEVICE static OutputArray convert(InputArray const& Input)
+    {
+        OutputArray Output;
+
+        uint32_t* half_2       = reinterpret_cast<uint32_t*>(&Output);
+        uint32_t const uint8_4 = reinterpret_cast<uint32_t const&>(Input);
+
+        static constexpr uint32_t byte_selector_01 = 0x05010500;
+        static constexpr uint32_t byte_selector_23 = 0x05030502;
+        static constexpr uint32_t fp16_adder       = 0x64646464;
+        half_2[0] = __builtin_amdgcn_perm(fp16_adder, uint8_4, byte_selector_01);
+        half_2[1] = __builtin_amdgcn_perm(fp16_adder, uint8_4, byte_selector_23);
+
+        static constexpr uint32_t I8s_TO_F16s_MAGIC_NUM = 0x64806480;
+        asm volatile("v_pk_add_f16 %0, %1, %2 neg_lo:[0,1] neg_hi:[0,1]"
+                     : "=v"(half_2[0])
+                     : "v"(half_2[0]), "s"(I8s_TO_F16s_MAGIC_NUM));
+        asm volatile("v_pk_add_f16 %0, %1, %2 neg_lo:[0,1] neg_hi:[0,1]"
+                     : "=v"(half_2[1])
+                     : "v"(half_2[1]), "s"(I8s_TO_F16s_MAGIC_NUM));
+
+        return Output;
+    }
+
+    CK_TILE_DEVICE OutputArray operator()(InputArray const& Input) { return convert(Input); }
+};
+
+template <index_t N>
+struct FastNumericArrayConverter<uint8_t, ck_tile::fp16_t, N>
+{
+    static constexpr int VEC_WIDTH = 4;
+    static_assert(!(N % VEC_WIDTH), "N must be multiple of 4.");
+
+    using InputArray  = vector_type<uint8_t, N>;
+    using OutputArray = vector_type<ck_tile::fp16_t, N>;
+
+    CK_TILE_DEVICE static OutputArray convert(InputArray const& Input)
+    {
+        FastNumericArrayConverter<uint8_t, ck_tile::fp16_t, 4> converter;
+
+        OutputArray Output;
+
+        using Vec_InputArray  = vector_type<uint8_t, 4>;
+        using Vec_OutputArray = vector_type<ck_tile::fp16_t, 4>;
+
+        Vec_OutputArray* half_4_ptr       = reinterpret_cast<Vec_OutputArray*>(&Output);
+        Vec_InputArray const* uint8_4_ptr = reinterpret_cast<Vec_InputArray const*>(&Input);
+
+        static_for<0, N / VEC_WIDTH, 1>{}(
+            [&](auto i) { half_4_ptr[i] = converter(uint8_4_ptr[i]); });
+
+        return Output;
+    }
+
+    CK_TILE_DEVICE OutputArray operator()(InputArray const& Input) { return convert(Input); }
+};
+#endif
+} // namespace element_wise
+} // namespace ck_tile

include/ck_tile/ops/epilogue.hpp

@@ -5,4 +5,6 @@
 
 #include "ck_tile/ops/epilogue/cshuffle_epilogue.hpp"
 #include "ck_tile/ops/epilogue/default_2d_epilogue.hpp"
+#include "ck_tile/ops/epilogue/dynamic_quant_epilogue.hpp"
+#include "ck_tile/ops/common/generic_2d_block_shape.hpp"
 #include "ck_tile/ops/common/tensor_layout.hpp"

include/ck_tile/ops/epilogue/cshuffle_epilogue.hpp

 // SPDX-License-Identifier: MIT
-// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
 
 #pragma once
 
@@ -56,6 +56,13 @@ struct CShuffleEpilogue
     // No additional shared memory needed
     CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize() { return 0; }
 
+    CK_TILE_HOST_DEVICE static constexpr bool IsOutputTransposed()
+    {
+        // TODO: At now CShuffle doesn't allow to vector store after permute.
+        //       It should be fixed and this function should return true.
+        return false;
+    }
+
     template <typename OAccTile>
     CK_TILE_DEVICE void permute_tile_data(OAccTile& o_acc_tile)
     {
@@ -111,7 +118,9 @@ struct CShuffleEpilogue
         }
     }
 
-    template <typename ODramWindowTmp, typename OAccTile>
+    template <typename ODramWindowTmp,
+              typename OAccTile,
+              memory_operation_enum out_memory_data_op = memory_operation_enum::set>
     CK_TILE_DEVICE auto operator()(ODramWindowTmp& o_dram_window_tmp, OAccTile& o_acc_tile)
     {
         const auto& current_window_origin = o_dram_window_tmp.get_window_origin();
@@ -158,12 +167,26 @@ struct CShuffleEpilogue
         // Store the tile data to the permuted location
         if constexpr(kPadM || kPadN)
         {
-            store_tile_raw(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            if constexpr(out_memory_data_op == memory_operation_enum::set)
+            {
+                store_tile_raw(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            }
+            else
+            {
+                update_tile_raw(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            }
             buffer_store_fence();
         }
         else
         {
-            store_tile(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            if constexpr(out_memory_data_op == memory_operation_enum::set)
+            {
+                store_tile(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            }
+            else
+            {
+                update_tile(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            }
         }
     }
 };

include/ck_tile/ops/epilogue/default_2d_epilogue.hpp

 // SPDX-License-Identifier: MIT
-// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
 
 #pragma once
 
@@ -9,41 +9,65 @@ namespace ck_tile {
 
 // this epilogue just store out a M*N matrix, row major
 
-template <typename AccDataType_, typename ODataType_, bool kPadM_, bool kPadN_>
+template <typename AccDataType_,
+          typename ODataType_,
+          bool kPadM_,
+          bool kPadN_,
+          bool UseRawStore_ = true>
 struct Default2DEpilogueProblem
 {
-    using AccDataType           = remove_cvref_t<AccDataType_>;
-    using ODataType             = remove_cvref_t<ODataType_>;
-    static constexpr bool kPadM = kPadM_;
-    static constexpr bool kPadN = kPadN_;
+    using AccDataType                 = remove_cvref_t<AccDataType_>;
+    using ODataType                   = remove_cvref_t<ODataType_>;
+    static constexpr bool kPadM       = kPadM_;
+    static constexpr bool kPadN       = kPadN_;
+    static constexpr bool UseRawStore = UseRawStore_;
 };
 
 template <typename Problem_, typename Policy_ = void>
 struct Default2DEpilogue
 {
-    using Problem               = remove_cvref_t<Problem_>;
-    using AccDataType           = remove_cvref_t<typename Problem::AccDataType>;
-    using ODataType             = remove_cvref_t<typename Problem::ODataType>;
-    static constexpr bool kPadM = Problem::kPadM;
-    static constexpr bool kPadN = Problem::kPadN;
+    using Problem                     = remove_cvref_t<Problem_>;
+    using AccDataType                 = remove_cvref_t<typename Problem::AccDataType>;
+    using ODataType                   = remove_cvref_t<typename Problem::ODataType>;
+    static constexpr bool kPadM       = Problem::kPadM;
+    static constexpr bool kPadN       = Problem::kPadN;
+    static constexpr bool UseRawStore = Problem::UseRawStore;
 
     CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize() { return 0; }
 
+    CK_TILE_HOST_DEVICE static constexpr bool IsOutputTransposed() { return false; }
+
     // TODO: this function assume store out vector size is the same as OAccTile last dimension size
     //       how do we fix this ?
-    template <typename ODramWindowTmp, typename OAccTile>
+    template <typename ODramWindowTmp,
+              typename OAccTile,
+              memory_operation_enum out_memory_data_op = memory_operation_enum::set>
     CK_TILE_DEVICE auto operator()(ODramWindowTmp& o_dram_window_tmp, const OAccTile& o_acc_tile)
     {
 
         // TODO: this is ugly
-        if constexpr(kPadM || kPadN)
+        if constexpr(UseRawStore && (kPadM || kPadN))
         {
-            store_tile_raw(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            if constexpr(out_memory_data_op == memory_operation_enum::set)
+            {
+                store_tile_raw(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            }
+            else
+            {
+                update_tile_raw(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            }
             buffer_store_fence();
         }
         else
         {
-            store_tile(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            if constexpr(out_memory_data_op == memory_operation_enum::set)
+            {
+                store_tile(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            }
+            else
+            {
+                update_tile(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tile));
+            }
         }
     }
 };

include/ck_tile/ops/epilogue/dynamic_quant_epilogue.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core.hpp"
+#include "ck_tile/ops/reduce.hpp"
+
+namespace ck_tile {
+
+template <bool kPadM_,
+          bool kPadN_,
+          bool UseSmoothInputScale_,
+          bool UseRawStore_ = true,
+          bool UseMax3_     = false>
+struct DynamicQuantEpilogueTraits
+{
+    static constexpr bool kPadM               = kPadM_;
+    static constexpr bool kPadN               = kPadN_;
+    static constexpr bool UseSmoothInputScale = UseSmoothInputScale_;
+    static constexpr bool UseRawStore         = UseRawStore_;
+    static constexpr bool UseMax3             = UseMax3_;
+};
+
+// this epilogue just store out a M*N matrix, row major
+template <typename AccDataType_,
+          typename XScaleDataType_,
+          typename YScaleDataType_,
+          typename ODataType_,
+          typename BlockShape_,
+          typename Traits_>
+struct DynamicQuantEpilogueProblem
+{
+    using AccDataType    = remove_cvref_t<AccDataType_>;
+    using XScaleDataType = remove_cvref_t<XScaleDataType_>;
+    using YScaleDataType = remove_cvref_t<YScaleDataType_>;
+    using ODataType      = remove_cvref_t<ODataType_>;
+    using BlockShape     = remove_cvref_t<BlockShape_>; // can consum generic 2d shape
+    using Traits         = remove_cvref_t<Traits_>;
+};
+
+// TODO: we should put descriptor creation function into policy
+template <typename Problem_, typename Policy_ = void>
+struct DynamicQuantEpilogue
+{
+    using Problem                     = remove_cvref_t<Problem_>;
+    using AccDataType                 = remove_cvref_t<typename Problem::AccDataType>;
+    using XScaleDataType              = remove_cvref_t<typename Problem::XScaleDataType>;
+    using YScaleDataType              = remove_cvref_t<typename Problem::YScaleDataType>;
+    using ODataType                   = remove_cvref_t<typename Problem::ODataType>;
+    using BlockShape                  = remove_cvref_t<typename Problem::BlockShape>;
+    static constexpr bool kPadM       = Problem::Traits::kPadM;
+    static constexpr bool kPadN       = Problem::Traits::kPadN;
+    static constexpr bool UseRawStore = Problem::Traits::UseRawStore;
+    static constexpr bool UseMax3     = Problem::Traits::UseMax3;
+
+    CK_TILE_HOST_DEVICE static constexpr auto GetBlockReduce2d()
+    {
+        using P_ = BlockReduce2dProblem<AccDataType, AccDataType, BlockShape>;
+        return BlockReduce2d<P_>{};
+    }
+
+    CK_TILE_HOST_DEVICE static constexpr auto GetBlockReduce2dSync()
+    {
+        using P_ = BlockReduce2dProblem<AccDataType, AccDataType, BlockShape>;
+        return BlockReduce2dSync<P_>{};
+    }
+
+    CK_TILE_HOST_DEVICE static constexpr auto GetBlockReduce2dCrossWarpSync()
+    {
+        using P_ = BlockReduce2dProblem<AccDataType, AccDataType, BlockShape>;
+        return BlockReduce2dCrossWarpSync<P_>{};
+    }
+
+    CK_TILE_DEVICE static constexpr auto MakeSmoothInputScaleTileDistribution()
+    {
+        using S = BlockShape;
+#if 0
+        // don't remove this
+        // Note that if we set encoding purposely like this, you will result in compile fail
+        // TODO: x_scale create local-scratch to accept arbitrary acc input (with same length)
+        return make_static_tile_distribution(
+            tile_distribution_encoding<
+                sequence<S::Repeat_M, S::WarpPerBlock_M, S::ThreadPerWarp_M>,
+                tuple<sequence<S::Repeat_N, S::WarpPerBlock_N, S::ThreadPerWarp_N, S::Vector_N>>,
+                tuple<sequence<0, 1>, sequence<0, 1>>,
+                tuple<sequence<1, 1>, sequence<2, 2>>,
+                sequence<0, 1, 1>,
+                sequence<0, 0, 3>>{});
+#else
+        return make_static_tile_distribution(
+            tile_distribution_encoding<
+                sequence<S::WarpPerBlock_M, S::ThreadPerWarp_M>,
+                tuple<sequence<S::Repeat_N, S::WarpPerBlock_N, S::ThreadPerWarp_N, S::Vector_N>>,
+                tuple<sequence<0, 1>, sequence<0, 1>>,
+                tuple<sequence<0, 1>, sequence<1, 2>>,
+                sequence<1, 1>,
+                sequence<0, 3>>{});
+#endif
+    }
+
+    CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
+    {
+        auto reduce_crosswarp_sync = GetBlockReduce2dCrossWarpSync();
+        return reduce_crosswarp_sync.GetSmemSize();
+    }
+
+    // TODO: this function assume store out vector size is the same as OAccTile last dimension size
+    //       how do we fix this ?
+    template <typename ODramWindowTmp,
+              typename XScaleWindow,
+              typename YScaleWindow,
+              typename OAccTile>
+    CK_TILE_DEVICE auto operator()(ODramWindowTmp& o_dram_window_tmp,
+                                   const XScaleWindow& x_scale_window_,
+                                   YScaleWindow& y_scale_window,
+                                   const OAccTile& o_acc_tile,
+                                   void* smem)
+    {
+        auto reduce                = GetBlockReduce2d();
+        auto reduce_sync           = GetBlockReduce2dSync();
+        auto reduce_crosswarp_sync = GetBlockReduce2dCrossWarpSync();
+        const auto x_scale_window =
+            make_tile_window(x_scale_window_, MakeSmoothInputScaleTileDistribution());
+
+        auto x_scale = load_tile(x_scale_window);
+
+        auto o_acc_tmp = o_acc_tile;
+
+        sweep_tile(o_acc_tmp, [&](auto idx) {
+            constexpr auto j_idx = make_tuple(idx[number<1>{}]);
+            const auto xs_       = type_convert<AccDataType>(x_scale[j_idx]);
+            o_acc_tmp(idx)       = o_acc_tmp(idx) * xs_;
+        });
+
+        const auto f_absmax = [](auto acc_, auto v_0_) { return max(acc_, abs(v_0_)); };
+
+        auto row_absmax = [&]() {
+            constexpr auto y_size_per_row =
+                OAccTile{}.get_tile_distribution().get_ys_to_d_descriptor().get_lengths().at(
+                    number<1>{});
+            if constexpr(UseMax3 && std::is_same_v<AccDataType, float> && y_size_per_row % 2 == 0)
+            {
+                // fast max3+abs implementation
+                const auto f_max3 = [](auto acc_, auto v_0_, auto v_1_) {
+                    float rtn;
+                    asm volatile("v_max3_f32 %0, %1, abs(%2), abs(%3)"
+                                 : "=v"(rtn)
+                                 : "v"(acc_), "v"(v_0_), "v"(v_1_));
+                    return rtn;
+                };
+                return reduce(o_acc_tmp, type_convert<AccDataType>(0), f_max3, sequence<1, 2>{});
+            }
+            else
+            {
+                return reduce(o_acc_tmp, type_convert<AccDataType>(0), f_absmax);
+            }
+        }();
+        reduce_sync(row_absmax, f_absmax);
+        reduce_crosswarp_sync(row_absmax, smem, f_absmax);
+
+        // here y_scale is Acc TYpe, need convert to YScale type later
+        auto y_scale = tile_elementwise_in(
+            [&](const auto& v_) {
+                return v_ / type_convert<AccDataType>(numeric<ODataType>::max());
+            },
+            row_absmax);
+
+        store_tile(y_scale_window, cast_tile<YScaleDataType>(y_scale));
+
+        sweep_tile(o_acc_tmp, [&](auto idx) {
+            constexpr auto row_id = make_tuple(idx[number<0>{}]);
+            o_acc_tmp(idx)        = o_acc_tmp[idx] / y_scale(row_id);
+        });
+
+        // TODO: this is ugly
+        if constexpr(UseRawStore && (kPadM || kPadN))
+        {
+            store_tile_raw(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tmp));
+            buffer_store_fence();
+        }
+        else
+        {
+            store_tile(o_dram_window_tmp, cast_tile<ODataType>(o_acc_tmp));
+        }
+    }
+};
+} // namespace ck_tile

include/ck_tile/ops/flatmm.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/ops/flatmm/block/flatmm_32x512x128_1x4x1_16x16x32.hpp"
+#include "ck_tile/ops/flatmm/block/flatmm_sn_32x128x512_1x4x1_16x16x32.hpp"
+#include "ck_tile/ops/flatmm/block/flatmm_sn_32x128x512_1x4x1_16x16x32_itl.hpp"
+#include "ck_tile/ops/flatmm/block/flatmm_uk_config.hpp"
+#include "ck_tile/ops/common/generic_2d_block_shape.hpp"
+#include "ck_tile/ops/common/tensor_layout.hpp"

include/ck_tile/ops/flatmm/block/flatmm_32x512x128_1x4x1_16x16x32.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core.hpp"
+#include "ck_tile/ops/gemm/warp/warp_gemm.hpp"
+#include "ck_tile/ops/flatmm/block/flatmm_uk_config.hpp"
+
+namespace ck_tile {
+
+// A async load to LDS, B direct to AGPR
+// B matrix preshuffled in br*kr*w
+// require 4 wave, occupancy=1c
+// agpr useage:256
+// vgpr usage:64(A local) + 64(acc) + 8(os_a) + 8(os_b) = 144 (rem:112)
+//
+// for this gemm, 4 16x16x16 transposed layout
+//  input A vpgpr layout
+//   v0-v15: [ 0:15](gemm_m)x128(gemm_k)
+//  v16-v31: [16:31](gemm_m)x128(gemm_k)
+
+//  input B vpgpr layout
+//   v0-v15: [  0: 15](gemm_n)x128(gemm_k)
+//  v16-v31: [ 64: 79](gemm_n)x128(gemm_k)
+//  ......................
+//  v111-v127: [448:463](gemm_n)x128(gemm_k)
+
+//  output C vpgpr layout
+//   v0-v3 : [ 0:15](gemm_m)x[ 0: 15](gemm_n)
+//   v4-v7 : [16:31](gemm_m)x[ 0: 15](gemm_n)
+//   v8-v11: [ 0:15](gemm_m)x[64: 79](gemm_n)
+//  v12-v15: [16:31](gemm_m)x[64: 79](gemm_n)
+//  ......................
+//  v56-v59: [ 0:15](gemm_m)x[448:463](gemm_n)
+//  v60-v63: [16:31](gemm_m)x[448:463](gemm_n)
+struct Flatmm_32x512x128_1x4x1_16x16x32_Base // for f16/bf16
+{
+    static constexpr index_t Block_M = 32;
+    static constexpr index_t Block_N = 512;
+    static constexpr index_t Block_K = 128;
+
+    static constexpr index_t WarpPerBlock_M = 1;
+    static constexpr index_t WarpPerBlock_N = 4;
+    static constexpr index_t WarpPerBlock_K = 1;
+
+    static constexpr index_t NumWarps = 4;
+
+    static constexpr index_t Warp_M = 16;
+    static constexpr index_t Warp_N = 16;
+    static constexpr index_t Warp_K = 32; // 16 * SubKPacks
+
+    static constexpr index_t BlockSize = 256;
+
+    static constexpr index_t SubKPacks = 2; // this is used to gurantee every threads can do dwordx4
+
+    // TODO: note Nr/Kr/W need consider SubKPacks
+    static constexpr index_t Block_W  = Warp_N * Warp_K;  // 512 element
+    static constexpr index_t Block_Nr = Block_N / Warp_N; // 32 element, 4 per wave
+    static constexpr index_t Block_Kr = Block_K / Warp_K; // 4
+
+    static constexpr index_t Repeat_M = Block_M / (Warp_M * WarpPerBlock_M); // 2
+    static constexpr index_t Repeat_N = Block_N / (Warp_N * WarpPerBlock_N); // 8
+    static constexpr index_t Repeat_K = Block_K / (Warp_K * WarpPerBlock_K); // 8/2=4
+
+    static CK_TILE_DEVICE constexpr auto MakeCBlockDist()
+    {
+        constexpr auto c_block_outer_dstr_encoding = tile_distribution_encoding<
+            sequence<>,
+            tuple<sequence<Repeat_M, WarpPerBlock_M>, sequence<Repeat_N, WarpPerBlock_N>>,
+            tuple<sequence<1, 2>>,
+            tuple<sequence<1, 1>>,
+            sequence<2, 1>, // !! note here is different
+            sequence<0, 0>>{};
+
+        using WG = WarpGemmMfmaF16F16F32M16N16K32TransposedCDistribution;
+
+        constexpr auto c_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
+            c_block_outer_dstr_encoding, typename WG::CWarpDstrEncoding{});
+        constexpr auto c_block_dstr = make_static_tile_distribution(c_block_dstr_encode);
+        return c_block_dstr;
+    }
+
+    static CK_TILE_DEVICE constexpr auto MakeCBlockTile()
+    {
+        using CDataType             = float;
+        constexpr auto c_block_dstr = MakeCBlockDist();
+        auto c_block_tensor         = make_static_distributed_tensor<CDataType>(c_block_dstr);
+        return c_block_tensor;
+    }
+
+    CK_TILE_HOST_DEVICE static constexpr auto MakeLdsStoreDesc_A()
+    {
+        // A async->LDS
+        // constexpr index_t Block_M = Problem::BlockShape::Block_M0;
+        // constexpr index_t Block_K = Problem::BlockShape::Block_K0;
+        // constexpr index_t BlockSize = Problem::BlockShape::BlockSize;
+        constexpr index_t warpSize = ck_tile::get_warp_size();
+        // constexpr index_t NumWarps = Problem::BlockShape::NumWarps;
+
+        constexpr index_t KPack_  = 8;      // GetSmemKPack_A<Problem>(); // LDS
+        constexpr index_t KVector = 2;      // GetAlignment_A<Problem>(); // async copy 1 dword
+        constexpr index_t KPad    = KPack_; // pad between warps
+
+        static_assert(Block_K % KVector == 0);
+        constexpr index_t LanesPerK = Block_K / KVector; // how many thread loading K
+        if constexpr(LanesPerK >= warpSize)
+        {
+            // need multiple waves to load K
+            static_assert(LanesPerK % warpSize == 0);
+            constexpr index_t wavesPerK = LanesPerK / warpSize;
+            if constexpr(wavesPerK > NumWarps)
+            {
+                // TODO: need multiple issues along K to load all data
+            }
+            else
+            {
+                constexpr index_t wavesPerM     = NumWarps / wavesPerK;
+                constexpr index_t NumIssues     = Block_M / wavesPerM;
+                constexpr auto lds_block_desc_0 = make_naive_tensor_descriptor(
+                    make_tuple(number<NumIssues>{},                             // m0
+                               number<wavesPerM>{},                             // m1
+                               number<wavesPerK>{},                             // k0
+                               number<warpSize>{},                              // k1
+                               number<KVector>{}),                              // k2
+                    make_tuple(number<NumWarps*(warpSize * KVector + KPad)>{},  // m0
+                               number<wavesPerK*(warpSize * KVector + KPad)>{}, // m1
+                               number<warpSize * KVector + KPad>{},             // k0
+                               number<KVector>{},                               // k1
+                               number<1>{}),                                    // k2
+                    number<KVector>{}, // lds store vector(actually no explicit store)
+                    number<1>{});
+
+                constexpr auto lds_block_desc_issues_warps_lanes = transform_tensor_descriptor(
+                    lds_block_desc_0,
+                    make_tuple(
+                        make_pass_through_transform(number<NumIssues>{}),
+                        make_merge_transform(make_tuple(number<wavesPerM>{}, number<wavesPerK>{})),
+                        make_merge_transform(make_tuple(number<warpSize>{}, number<KVector>{}))),
+                    make_tuple(sequence<0>{}, sequence<1, 2>{}, sequence<3, 4>{}),
+                    make_tuple(sequence<0>{}, sequence<1>{}, sequence<2>{}));
+
+                return lds_block_desc_issues_warps_lanes;
+            }
+        }
+        else
+        {
+            // lanes within a wave load different M but same K
+            static_assert(warpSize % LanesPerK == 0);
+            constexpr index_t LaneGroups = warpSize / LanesPerK; // along m
+            constexpr index_t NumIssues  = Block_M / (LaneGroups * NumWarps);
+
+            constexpr auto lds_block_desc_0 = make_naive_tensor_descriptor(
+                make_tuple(number<NumIssues>{},                            // m0
+                           number<LaneGroups>{},                           // m1
+                           number<NumWarps>{},                             // m2
+                           number<LanesPerK>{},                            // k0
+                           number<KVector>{}),                             // k1
+                make_tuple(number<NumWarps*(warpSize * KVector + KPad)>{}, // m0
+                           number<Block_K>{},                              // m1
+                           number<warpSize * KVector + KPad>{},            // m2
+                           number<KVector>{},                              // k0
+                           number<1>{}),                                   // k1
+                number<KVector>{}, // lds store vector(actually no explicit store)
+                number<1>{});
+
+            constexpr auto lds_block_desc_issues_warps_lanes = transform_tensor_descriptor(
+                lds_block_desc_0,
+                make_tuple(make_pass_through_transform(number<NumIssues>{}),
+                           make_pass_through_transform(number<NumWarps>{}),
+                           make_merge_transform(make_tuple(
+                               number<LaneGroups>{}, number<LanesPerK>{}, number<KVector>{}))),
+                make_tuple(sequence<0>{}, sequence<2>{}, sequence<1, 3, 4>{}),
+                make_tuple(sequence<0>{}, sequence<1>{}, sequence<2>{}));
+
+            return lds_block_desc_issues_warps_lanes;
+        }
+    }
+
+    // template <typename Problem>
+    CK_TILE_HOST_DEVICE static constexpr auto MakeLdsLoadDesc_A()
+    {
+        // load from LDS to register, every wave has same layout
+        constexpr index_t KPack_ = 8;      // GetSmemKPack_A<Problem>(); // LDS
+        constexpr index_t KPad   = KPack_; // pad between warps
+
+        constexpr index_t kAMLane     = 16;
+        constexpr index_t kABKLane    = 4;
+        constexpr index_t kABKPerLane = 4;
+        constexpr index_t kKIter      = 2;
+        static_assert(KPack_ == (kABKPerLane * kKIter));
+
+        constexpr auto lds_block_desc_0 =
+            make_naive_tensor_descriptor(make_tuple(number<Repeat_M>{}, // m0 y
+                                                    number<kAMLane>{},  // m1 p
+                                                    number<Repeat_K>{}, // k0 y
+                                                    number<kABKLane>{}, // k1 p
+                                                    number<KPack_>{}),  // k2 y-vector
+                                         make_tuple(number<kAMLane*(Block_K + KPad)>{}, // m0
+                                                    number<Block_K + KPad>{},           // m1
+                                                    number<kABKLane * KPack_>{},        // k0
+                                                    number<KPack_>{},                   // k1
+                                                    number<1>{}),                       // k2
+                                         number<KPack_>{}, // lds load vector
+                                         number<1>{});
+
+        constexpr auto lds_desc_m_k = transform_tensor_descriptor(
+            lds_block_desc_0,
+            make_tuple(make_merge_transform(make_tuple(number<Repeat_M>{}, number<kAMLane>{})),
+                       make_merge_transform(
+                           make_tuple(number<Repeat_K>{}, number<kABKLane>{}, number<KPack_>{}))),
+            make_tuple(sequence<0, 1>{}, sequence<2, 3, 4>{}),
+            make_tuple(sequence<0>{}, sequence<1>{}));
+
+        return lds_desc_m_k;
+    }
+
+    static constexpr auto GetGemm_AWarpEnc()
+    {
+        constexpr index_t kAMLane     = 16;
+        constexpr index_t kABKLane    = 4;
+        constexpr index_t kABKPerLane = 4;
+        constexpr index_t kKIter      = 2;
+
+        using enc_ = tile_distribution_encoding<
+            sequence<>,
+            tuple<sequence<kAMLane>, sequence<kABKLane, kABKPerLane * kKIter>>,
+            tuple<sequence<2, 1>>,
+            tuple<sequence<0, 0>>,
+            sequence<2>,
+            sequence<1>>;
+        return enc_{};
+    }
+
+    CK_TILE_HOST_DEVICE static constexpr ck_tile::index_t GetSmemSize()
+    {
+        return 32 * (128 + 8) * sizeof(bf16_t);
+    }
+};
+
+struct Flatmm_32x512x128_1x4x1_16x16x32_BF16 : public Flatmm_32x512x128_1x4x1_16x16x32_Base
+{
+    using ADataType = bf16_t;
+    using BDataType = bf16_t;
+
+    // TODO: need paired with tile_window_linear!
+    // TODO: need call init_raw() before call this function!
+    template <typename ARes, typename ACoords, typename BRes, typename BCoords>
+    CK_TILE_DEVICE auto
+    operator()(const ARes& res_a,
+               const ACoords& cached_coords_a,
+               const BRes& res_b,
+               const BCoords& cached_coords_b,
+               CK_TILE_LDS_ADDR void* smem,
+               index_t k,
+               index_t tile_offset_a, // for each tile, the offset to move for each unroll
+               index_t tile_offset_b) // for each tile, the offset to move for each unroll
+    {
+        static_assert(ACoords::size() == Block_M * Block_K / BlockSize / 2 /*2x per dword*/); // 8
+        static_assert(BCoords::size() == Repeat_N);
+
+        auto a_sst = make_tile_window(
+            make_tensor_view<address_space_enum::lds>(
+                reinterpret_cast<CK_TILE_LDS_ADDR ADataType*>(smem), MakeLdsStoreDesc_A()),
+            MakeLdsStoreDesc_A().get_lengths(),
+            {0, 0, 0});
+
+        auto a_sld = [&]() {
+            constexpr auto a_warp_enc_      = GetGemm_AWarpEnc();
+            constexpr auto a_outer_dstr_enc = tile_distribution_encoding<
+                sequence<WarpPerBlock_N>,
+                tuple<sequence<Repeat_M, WarpPerBlock_M>, sequence<Repeat_K>>,
+                tuple<sequence<1, 0>>,
+                tuple<sequence<1, 0>>,
+                sequence<1, 2>,
+                sequence<0, 0>>{};
+            constexpr auto a_block_dstr_encode =
+                detail::make_embed_tile_distribution_encoding(a_outer_dstr_enc, a_warp_enc_);
+            return make_tile_window_linear(
+                make_tensor_view<address_space_enum::lds>(
+                    reinterpret_cast<CK_TILE_LDS_ADDR ADataType*>(smem), MakeLdsLoadDesc_A()),
+                MakeLdsLoadDesc_A().get_lengths(),
+                {0, 0},
+                make_static_tile_distribution(a_block_dstr_encode));
+        }();
+
+        const index_t tile_offset_a_bytes = tile_offset_a * sizeof(ADataType);
+        const index_t tile_offset_b_bytes = tile_offset_b * sizeof(BDataType);
+
+        const auto [m0_init_value, size_per_issue] = get_async_store_smem_info(a_sst);
+        constexpr auto smem_buf_size =
+            MakeLdsLoadDesc_A().get_element_space_size() * sizeof(ADataType);
+        static_assert(a_sld.get_num_of_access() == 8);
+        constexpr auto sld_os = generate_tuple(
+            [&](auto i_access) {
+                return number<a_sld.get_bottom_linear_offset(i_access) * sizeof(ADataType)>{};
+            },
+            number<a_sld.get_num_of_access()>{});
+
+        index_t loop_cnt = k / Block_K;
+
+        // this is the acc thread buffer
+        fp32x4_t v_acc[16]{.0f};
+
+        // B nr->kr
+#pragma clang diagnostic push
+#pragma clang diagnostic ignored "-Winline-asm"
+        // clang-format off
+        asm volatile(
+#define CK_TILE_FLATMM_UK_MFMA CK_TILE_FLATMM_UK_MFMA_BF16
+#include "uk/flatmm_uk_gfx9_32x512x128_1x1x1_16x16x16.inc"
+#undef CK_TILE_FLATMM_UK_MFMA
+            :   [s_loop_cnt]"+s"(loop_cnt),
+                [v_acc_0]"+v"(v_acc[0]),
+                [v_acc_1]"+v"(v_acc[1]),
+                [v_acc_2]"+v"(v_acc[2]),
+                [v_acc_3]"+v"(v_acc[3]),
+                [v_acc_4]"+v"(v_acc[4]),
+                [v_acc_5]"+v"(v_acc[5]),
+                [v_acc_6]"+v"(v_acc[6]),
+                [v_acc_7]"+v"(v_acc[7]),
+                [v_acc_8]"+v"(v_acc[8]),
+                [v_acc_9]"+v"(v_acc[9]),
+                [v_acc_10]"+v"(v_acc[10]),
+                [v_acc_11]"+v"(v_acc[11]),
+                [v_acc_12]"+v"(v_acc[12]),
+                [v_acc_13]"+v"(v_acc[13]),
+                [v_acc_14]"+v"(v_acc[14]),
+                [v_acc_15]"+v"(v_acc[15]),
+                [s_mem_]"+r"(smem)
+            : [s_res_a0]"s"(res_a[0]),
+                [s_res_a1]"s"(res_a[1]),
+                [s_res_a2]"s"(res_a[2]),
+                [s_res_a3]"s"(res_a[3]),
+                [s_res_b0]"s"(res_b[0]),
+                [s_res_b1]"s"(res_b[1]),
+                [s_res_b2]"s"(res_b[2]),
+                [s_res_b3]"s"(res_b[3]),
+                [v_os_a0]"v"(static_cast<index_t>(cached_coords_a[number<0>{}] * sizeof(ADataType))),
+                [v_os_a1]"v"(static_cast<index_t>(cached_coords_a[number<1>{}] * sizeof(ADataType))),
+                [v_os_a2]"v"(static_cast<index_t>(cached_coords_a[number<2>{}] * sizeof(ADataType))),
+                [v_os_a3]"v"(static_cast<index_t>(cached_coords_a[number<3>{}] * sizeof(ADataType))),
+                [v_os_a4]"v"(static_cast<index_t>(cached_coords_a[number<4>{}] * sizeof(ADataType))),
+                [v_os_a5]"v"(static_cast<index_t>(cached_coords_a[number<5>{}] * sizeof(ADataType))),
+                [v_os_a6]"v"(static_cast<index_t>(cached_coords_a[number<6>{}] * sizeof(ADataType))),
+                [v_os_a7]"v"(static_cast<index_t>(cached_coords_a[number<7>{}] * sizeof(ADataType))),
+
+                [v_os_b0]"v"(static_cast<index_t>(cached_coords_b[number<0>{}] * sizeof(BDataType))),
+                [v_os_b1]"v"(static_cast<index_t>(cached_coords_b[number<1>{}] * sizeof(BDataType))),
+                [v_os_b2]"v"(static_cast<index_t>(cached_coords_b[number<2>{}] * sizeof(BDataType))),
+                [v_os_b3]"v"(static_cast<index_t>(cached_coords_b[number<3>{}] * sizeof(BDataType))),
+                [v_os_b4]"v"(static_cast<index_t>(cached_coords_b[number<4>{}] * sizeof(BDataType))),
+                [v_os_b5]"v"(static_cast<index_t>(cached_coords_b[number<5>{}] * sizeof(BDataType))),
+                [v_os_b6]"v"(static_cast<index_t>(cached_coords_b[number<6>{}] * sizeof(BDataType))),
+                [v_os_b7]"v"(static_cast<index_t>(cached_coords_b[number<7>{}] * sizeof(BDataType))),
+
+                [v_os_slda]"v"(static_cast<index_t>(a_sld.cached_coords_[number<0>{}].get_offset() * sizeof(ADataType))),
+                [s_m0_init]"s"(m0_init_value),
+                [s_size_per_issue]"s"(size_per_issue),
+                [smem_sz]"n"(smem_buf_size),  //(smem_buf_size),
+                [sld_os_0]"n"(sld_os[number<0>{}].value),
+                [sld_os_1]"n"(sld_os[number<1>{}].value),
+                [sld_os_2]"n"(sld_os[number<2>{}].value),
+                [sld_os_3]"n"(sld_os[number<3>{}].value),
+                [sld_os_4]"n"(sld_os[number<4>{}].value),
+                [sld_os_5]"n"(sld_os[number<5>{}].value),
+                [sld_os_6]"n"(sld_os[number<6>{}].value),
+                [sld_os_7]"n"(sld_os[number<7>{}].value),
+                [s_tile_os_a]"s"(tile_offset_a_bytes),
+                [s_tile_os_b]"s"(tile_offset_b_bytes)
+            : "memory", "a0", "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9",
+          "a10", "a11", "a12", "a13", "a14", "a15", "a16", "a17", "a18", "a19",
+          "a20", "a21", "a22", "a23", "a24", "a25", "a26", "a27", "a28", "a29",
+          "a30", "a31", "a32", "a33", "a34", "a35", "a36", "a37", "a38", "a39",
+          "a40", "a41", "a42", "a43", "a44", "a45", "a46", "a47", "a48", "a49",
+          "a50", "a51", "a52", "a53", "a54", "a55", "a56", "a57", "a58", "a59",
+          "a60", "a61", "a62", "a63", "a64", "a65", "a66", "a67", "a68", "a69",
+          "a70", "a71", "a72", "a73", "a74", "a75", "a76", "a77", "a78", "a79",
+          "a80", "a81", "a82", "a83", "a84", "a85", "a86", "a87", "a88", "a89",
+          "a90", "a91", "a92", "a93", "a94", "a95", "a96", "a97", "a98", "a99",
+          "a100", "a101", "a102", "a103", "a104", "a105", "a106", "a107",
+          "a108", "a109", "a110", "a111", "a112", "a113", "a114", "a115",
+          "a116", "a117", "a118", "a119", "a120", "a121", "a122", "a123",
+          "a124", "a125", "a126", "a127", "a128", "a129", "a130", "a131",
+          "a132", "a133", "a134", "a135", "a136", "a137", "a138", "a139",
+          "a140", "a141", "a142", "a143", "a144", "a145", "a146", "a147",
+          "a148", "a149", "a150", "a151", "a152", "a153", "a154", "a155",
+          "a156", "a157", "a158", "a159", "a160", "a161", "a162", "a163",
+          "a164", "a165", "a166", "a167", "a168", "a169", "a170", "a171",
+          "a172", "a173", "a174", "a175", "a176", "a177", "a178", "a179",
+          "a180", "a181", "a182", "a183", "a184", "a185", "a186", "a187",
+          "a188", "a189", "a190", "a191", "a192", "a193", "a194", "a195",
+          "a196", "a197", "a198", "a199", "a200", "a201", "a202", "a203",
+          "a204", "a205", "a206", "a207", "a208", "a209", "a210", "a211",
+          "a212", "a213", "a214", "a215", "a216", "a217", "a218", "a219",
+          "a220", "a221", "a222", "a223", "a224", "a225", "a226", "a227",
+          "a228", "a229", "a230", "a231", "a232", "a233", "a234", "a235",
+          "a236", "a237", "a238", "a239", "a240", "a241", "a242", "a243",
+          "a244", "a245", "a246", "a247", "a248", "a249", "a250", "a251",
+          "a252", "a253", "a254", "a255", 
+          "s16", "s17", "s18", "s19", "s20", "s21", "s22", "s23",
+          "s86",    // s86 as tmp
+          "v64", "v65", "v66", "v67", "v68", "v69",
+          "v70", "v71", "v72", "v73", "v74", "v75", "v76", "v77", "v78", "v79",
+          "v80", "v81", "v82", "v83", "v84", "v85", "v86", "v87", "v88", "v89",
+          "v90", "v91", "v92", "v93", "v94", "v95", "v96", "v97", "v98", "v99",
+          "v100", "v101", "v102", "v103", "v104", "v105", "v106", "v107",
+          "v108", "v109", "v110", "v111", "v112", "v113", "v114", "v115",
+          "v116", "v117", "v118", "v119", "v120", "v121", "v122", "v123",
+          "v124", "v125", "v126", "v127"
+        );
+        // clang-format on
+#pragma clang diagnostic pop
+
+        // return local scratch
+        auto c = MakeCBlockTile();
+        for(auto i = 0; i < 16; i++)
+        {
+            c.get_thread_buffer()[4 * i + 0] = v_acc[i].x;
+            c.get_thread_buffer()[4 * i + 1] = v_acc[i].y;
+            c.get_thread_buffer()[4 * i + 2] = v_acc[i].z;
+            c.get_thread_buffer()[4 * i + 3] = v_acc[i].w;
+        }
+        return c;
+    }
+};
+
+struct Flatmm_32x512x128_1x4x1_16x16x32_FP16 : public Flatmm_32x512x128_1x4x1_16x16x32_Base
+{
+    using ADataType = fp16_t;
+    using BDataType = fp16_t;
+
+    // TODO: need paired with tile_window_linear!
+    // TODO: need call init_raw() before call this function!
+    template <typename ARes, typename ACoords, typename BRes, typename BCoords>
+    CK_TILE_DEVICE auto
+    operator()(const ARes& res_a,
+               const ACoords& cached_coords_a,
+               const BRes& res_b,
+               const BCoords& cached_coords_b,
+               CK_TILE_LDS_ADDR void* smem,
+               index_t k,
+               index_t tile_offset_a, // for each tile, the offset to move for each unroll
+               index_t tile_offset_b) // for each tile, the offset to move for each unroll
+    {
+        static_assert(ACoords::size() == Block_M * Block_K / BlockSize / 2 /*2x per dword*/); // 8
+        static_assert(BCoords::size() == Repeat_N);
+
+        auto a_sst = make_tile_window(
+            make_tensor_view<address_space_enum::lds>(
+                reinterpret_cast<CK_TILE_LDS_ADDR ADataType*>(smem), MakeLdsStoreDesc_A()),
+            MakeLdsStoreDesc_A().get_lengths(),
+            {0, 0, 0});
+
+        auto a_sld = [&]() {
+            constexpr auto a_warp_enc_      = GetGemm_AWarpEnc();
+            constexpr auto a_outer_dstr_enc = tile_distribution_encoding<
+                sequence<WarpPerBlock_N>,
+                tuple<sequence<Repeat_M, WarpPerBlock_M>, sequence<Repeat_K>>,
+                tuple<sequence<1, 0>>,
+                tuple<sequence<1, 0>>,
+                sequence<1, 2>,
+                sequence<0, 0>>{};
+            constexpr auto a_block_dstr_encode =
+                detail::make_embed_tile_distribution_encoding(a_outer_dstr_enc, a_warp_enc_);
+            return make_tile_window_linear(
+                make_tensor_view<address_space_enum::lds>(
+                    reinterpret_cast<CK_TILE_LDS_ADDR ADataType*>(smem), MakeLdsLoadDesc_A()),
+                MakeLdsLoadDesc_A().get_lengths(),
+                {0, 0},
+                make_static_tile_distribution(a_block_dstr_encode));
+        }();
+
+        const index_t tile_offset_a_bytes = tile_offset_a * sizeof(ADataType);
+        const index_t tile_offset_b_bytes = tile_offset_b * sizeof(BDataType);
+
+        const auto [m0_init_value, size_per_issue] = get_async_store_smem_info(a_sst);
+        constexpr auto smem_buf_size =
+            MakeLdsLoadDesc_A().get_element_space_size() * sizeof(ADataType);
+        static_assert(a_sld.get_num_of_access() == 8);
+        constexpr auto sld_os = generate_tuple(
+            [&](auto i_access) {
+                return number<a_sld.get_bottom_linear_offset(i_access) * sizeof(ADataType)>{};
+            },
+            number<a_sld.get_num_of_access()>{});
+
+        index_t loop_cnt = k / Block_K;
+
+        // this is the acc thread buffer
+        fp32x4_t v_acc[16]{.0f};
+
+        // B nr->kr
+#pragma clang diagnostic push
+#pragma clang diagnostic ignored "-Winline-asm"
+        // clang-format off
+        asm volatile(
+#define CK_TILE_FLATMM_UK_MFMA CK_TILE_FLATMM_UK_MFMA_FP16
+#include "uk/flatmm_uk_gfx9_32x512x128_1x1x1_16x16x16.inc"
+#undef CK_TILE_FLATMM_UK_MFMA
+            :   [s_loop_cnt]"+s"(loop_cnt),
+                [v_acc_0]"+v"(v_acc[0]),
+                [v_acc_1]"+v"(v_acc[1]),
+                [v_acc_2]"+v"(v_acc[2]),
+                [v_acc_3]"+v"(v_acc[3]),
+                [v_acc_4]"+v"(v_acc[4]),
+                [v_acc_5]"+v"(v_acc[5]),
+                [v_acc_6]"+v"(v_acc[6]),
+                [v_acc_7]"+v"(v_acc[7]),
+                [v_acc_8]"+v"(v_acc[8]),
+                [v_acc_9]"+v"(v_acc[9]),
+                [v_acc_10]"+v"(v_acc[10]),
+                [v_acc_11]"+v"(v_acc[11]),
+                [v_acc_12]"+v"(v_acc[12]),
+                [v_acc_13]"+v"(v_acc[13]),
+                [v_acc_14]"+v"(v_acc[14]),
+                [v_acc_15]"+v"(v_acc[15]),
+                [s_mem_]"+r"(smem)
+            : [s_res_a0]"s"(res_a[0]),
+                [s_res_a1]"s"(res_a[1]),
+                [s_res_a2]"s"(res_a[2]),
+                [s_res_a3]"s"(res_a[3]),
+                [s_res_b0]"s"(res_b[0]),
+                [s_res_b1]"s"(res_b[1]),
+                [s_res_b2]"s"(res_b[2]),
+                [s_res_b3]"s"(res_b[3]),
+                [v_os_a0]"v"(static_cast<index_t>(cached_coords_a[number<0>{}] * sizeof(ADataType))),
+                [v_os_a1]"v"(static_cast<index_t>(cached_coords_a[number<1>{}] * sizeof(ADataType))),
+                [v_os_a2]"v"(static_cast<index_t>(cached_coords_a[number<2>{}] * sizeof(ADataType))),
+                [v_os_a3]"v"(static_cast<index_t>(cached_coords_a[number<3>{}] * sizeof(ADataType))),
+                [v_os_a4]"v"(static_cast<index_t>(cached_coords_a[number<4>{}] * sizeof(ADataType))),
+                [v_os_a5]"v"(static_cast<index_t>(cached_coords_a[number<5>{}] * sizeof(ADataType))),
+                [v_os_a6]"v"(static_cast<index_t>(cached_coords_a[number<6>{}] * sizeof(ADataType))),
+                [v_os_a7]"v"(static_cast<index_t>(cached_coords_a[number<7>{}] * sizeof(ADataType))),
+
+                [v_os_b0]"v"(static_cast<index_t>(cached_coords_b[number<0>{}] * sizeof(BDataType))),
+                [v_os_b1]"v"(static_cast<index_t>(cached_coords_b[number<1>{}] * sizeof(BDataType))),
+                [v_os_b2]"v"(static_cast<index_t>(cached_coords_b[number<2>{}] * sizeof(BDataType))),
+                [v_os_b3]"v"(static_cast<index_t>(cached_coords_b[number<3>{}] * sizeof(BDataType))),
+                [v_os_b4]"v"(static_cast<index_t>(cached_coords_b[number<4>{}] * sizeof(BDataType))),
+                [v_os_b5]"v"(static_cast<index_t>(cached_coords_b[number<5>{}] * sizeof(BDataType))),
+                [v_os_b6]"v"(static_cast<index_t>(cached_coords_b[number<6>{}] * sizeof(BDataType))),
+                [v_os_b7]"v"(static_cast<index_t>(cached_coords_b[number<7>{}] * sizeof(BDataType))),
+
+                [v_os_slda]"v"(static_cast<index_t>(a_sld.cached_coords_[number<0>{}].get_offset() * sizeof(ADataType))),
+                [s_m0_init]"s"(m0_init_value),
+                [s_size_per_issue]"s"(size_per_issue),
+                [smem_sz]"n"(smem_buf_size),  //(smem_buf_size),
+                [sld_os_0]"n"(sld_os[number<0>{}].value),
+                [sld_os_1]"n"(sld_os[number<1>{}].value),
+                [sld_os_2]"n"(sld_os[number<2>{}].value),
+                [sld_os_3]"n"(sld_os[number<3>{}].value),
+                [sld_os_4]"n"(sld_os[number<4>{}].value),
+                [sld_os_5]"n"(sld_os[number<5>{}].value),
+                [sld_os_6]"n"(sld_os[number<6>{}].value),
+                [sld_os_7]"n"(sld_os[number<7>{}].value),
+                [s_tile_os_a]"s"(tile_offset_a_bytes),
+                [s_tile_os_b]"s"(tile_offset_b_bytes)
+            : "memory", "a0", "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9",
+          "a10", "a11", "a12", "a13", "a14", "a15", "a16", "a17", "a18", "a19",
+          "a20", "a21", "a22", "a23", "a24", "a25", "a26", "a27", "a28", "a29",
+          "a30", "a31", "a32", "a33", "a34", "a35", "a36", "a37", "a38", "a39",
+          "a40", "a41", "a42", "a43", "a44", "a45", "a46", "a47", "a48", "a49",
+          "a50", "a51", "a52", "a53", "a54", "a55", "a56", "a57", "a58", "a59",
+          "a60", "a61", "a62", "a63", "a64", "a65", "a66", "a67", "a68", "a69",
+          "a70", "a71", "a72", "a73", "a74", "a75", "a76", "a77", "a78", "a79",
+          "a80", "a81", "a82", "a83", "a84", "a85", "a86", "a87", "a88", "a89",
+          "a90", "a91", "a92", "a93", "a94", "a95", "a96", "a97", "a98", "a99",
+          "a100", "a101", "a102", "a103", "a104", "a105", "a106", "a107",
+          "a108", "a109", "a110", "a111", "a112", "a113", "a114", "a115",
+          "a116", "a117", "a118", "a119", "a120", "a121", "a122", "a123",
+          "a124", "a125", "a126", "a127", "a128", "a129", "a130", "a131",
+          "a132", "a133", "a134", "a135", "a136", "a137", "a138", "a139",
+          "a140", "a141", "a142", "a143", "a144", "a145", "a146", "a147",
+          "a148", "a149", "a150", "a151", "a152", "a153", "a154", "a155",
+          "a156", "a157", "a158", "a159", "a160", "a161", "a162", "a163",
+          "a164", "a165", "a166", "a167", "a168", "a169", "a170", "a171",
+          "a172", "a173", "a174", "a175", "a176", "a177", "a178", "a179",
+          "a180", "a181", "a182", "a183", "a184", "a185", "a186", "a187",
+          "a188", "a189", "a190", "a191", "a192", "a193", "a194", "a195",
+          "a196", "a197", "a198", "a199", "a200", "a201", "a202", "a203",
+          "a204", "a205", "a206", "a207", "a208", "a209", "a210", "a211",
+          "a212", "a213", "a214", "a215", "a216", "a217", "a218", "a219",
+          "a220", "a221", "a222", "a223", "a224", "a225", "a226", "a227",
+          "a228", "a229", "a230", "a231", "a232", "a233", "a234", "a235",
+          "a236", "a237", "a238", "a239", "a240", "a241", "a242", "a243",
+          "a244", "a245", "a246", "a247", "a248", "a249", "a250", "a251",
+          "a252", "a253", "a254", "a255", 
+          "s16", "s17", "s18", "s19", "s20", "s21", "s22", "s23",
+          "s86",    // s86 as tmp
+          "v64", "v65", "v66", "v67", "v68", "v69",
+          "v70", "v71", "v72", "v73", "v74", "v75", "v76", "v77", "v78", "v79",
+          "v80", "v81", "v82", "v83", "v84", "v85", "v86", "v87", "v88", "v89",
+          "v90", "v91", "v92", "v93", "v94", "v95", "v96", "v97", "v98", "v99",
+          "v100", "v101", "v102", "v103", "v104", "v105", "v106", "v107",
+          "v108", "v109", "v110", "v111", "v112", "v113", "v114", "v115",
+          "v116", "v117", "v118", "v119", "v120", "v121", "v122", "v123",
+          "v124", "v125", "v126", "v127"
+        );
+        // clang-format on
+#pragma clang diagnostic pop
+
+        // return local scratch
+        auto c = MakeCBlockTile();
+        for(auto i = 0; i < 16; i++)
+        {
+            c.get_thread_buffer()[4 * i + 0] = v_acc[i].x;
+            c.get_thread_buffer()[4 * i + 1] = v_acc[i].y;
+            c.get_thread_buffer()[4 * i + 2] = v_acc[i].z;
+            c.get_thread_buffer()[4 * i + 3] = v_acc[i].w;
+        }
+        return c;
+    }
+};
+
+} // namespace ck_tile

include/ck_tile/ops/flatmm/block/flatmm_sn_32x128x512_1x4x1_16x16x32.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core.hpp"
+#include "ck_tile/ops/gemm/warp/warp_gemm.hpp"
+#include "ck_tile/ops/flatmm/block/flatmm_uk_config.hpp"
+
+namespace ck_tile {
+
+// "S"tream update output along "N"
+// A in smem, B load from global
+// require 4 wave, occupancy=1c
+struct FlatmmSn_32x128x512_1x4x1_16x16x32_Base
+{
+    static constexpr index_t Block_M = 32;
+    static constexpr index_t Block_N = 128;
+    static constexpr index_t Block_K = 512;
+
+    static constexpr index_t WarpPerBlock_M = 1;
+    static constexpr index_t WarpPerBlock_N = 4;
+    static constexpr index_t WarpPerBlock_K = 1;
+
+    static constexpr index_t Warp_M = 16;
+    static constexpr index_t Warp_N = 16;
+    static constexpr index_t Warp_K = 32;
+
+    static constexpr index_t BlockSize = 256;
+
+    // static constexpr index_t KPack = 2; // this is used to gurantee every threads can do dwordx4
+
+    // TODO: note Nr/Kr/W need consider KPack
+    static constexpr index_t Block_W  = Warp_N * Warp_K;  // 512 element
+    static constexpr index_t Block_Nr = Block_N / Warp_N; // 32 element, 4 per wave
+    static constexpr index_t Block_Kr = Block_K / Warp_K; // 4
+
+    static constexpr index_t Repeat_M = Block_M / (Warp_M * WarpPerBlock_M); // 2
+    static constexpr index_t Repeat_N = Block_N / (Warp_N * WarpPerBlock_N); // 2
+    static constexpr index_t Repeat_K = Block_K / (Warp_K * WarpPerBlock_K); // 16
+
+    static CK_TILE_DEVICE constexpr auto MakeCBlockDist()
+    {
+        constexpr auto c_block_outer_dstr_encoding = tile_distribution_encoding<
+            sequence<>,
+            tuple<sequence<Repeat_M, WarpPerBlock_M>, sequence<Repeat_N, WarpPerBlock_N>>,
+            tuple<sequence<1, 2>>,
+            tuple<sequence<1, 1>>,
+            sequence<2, 1>, // !! note here is different
+            sequence<0, 0>>{};
+
+        using WG = WarpGemmMfmaF16F16F32M16N16K32TransposedCDistribution;
+
+        constexpr auto c_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
+            c_block_outer_dstr_encoding, typename WG::CWarpDstrEncoding{});
+        constexpr auto c_block_dstr = make_static_tile_distribution(c_block_dstr_encode);
+        return c_block_dstr;
+    }
+
+    CK_TILE_HOST_DEVICE static constexpr ck_tile::index_t GetSmemSize()
+    {
+        //                    y     y     p     p      p      y
+        // reg before shfl  M0(2)*N0(2)*Nl(4)*Nw(4)*Mw(16)*Nv(4)
+        // but order is N0*M0*Nv
+        // in LDS we need store as
+        //          M0(2)* N0(2) *  Nl(4) * Nw(4) * (Mw(16)*Nv(4) + 4)
+        //             y    y       wave-id  lid/16  lid%16   v
+        return 2 * 2 * 4 * 4 * (16 * 4 + 4) * sizeof(bf16_t);
+    }
+};
+
+struct FlatmmSn_32x128x512_1x4x1_16x16x32_BF16 : public FlatmmSn_32x128x512_1x4x1_16x16x32_Base
+{
+    using BDataType = bf16_t;
+    using ODataType = bf16_t;
+
+    // TODO: need paired with tile_window_linear!
+    // TODO: need call init_raw() before call this function!
+    // template <typename AWindow, typename BWindow, typename OWindow, typename ScaleTensor>
+    template <typename BRes,
+              typename BCoords,
+              typename ORes,
+              typename OCoords,
+              typename OFlags,
+              typename ScaleTensor>
+    CK_TILE_DEVICE auto
+    operator()(const BRes& res_b,
+               const BCoords& cached_coords_b,
+               const ORes& res_o,
+               const OCoords& cached_coords_o,
+               const OFlags& o_flags, // this should be in sgpr
+               CK_TILE_LDS_ADDR void* smem,
+               index_t n, // loop along n dim
+               const ScaleTensor& scale_,
+               index_t tile_offset_b, // stride b is fixed to blockKr * blockW, but still can adjust
+               index_t tile_offset_o)
+    {
+        static_assert(BCoords::size() == 8); // 8
+        static_assert(OCoords::size() == 8);
+
+        const index_t tile_stride_b_bytes = tile_offset_b * sizeof(BDataType);
+        const index_t tile_stride_o_bytes = tile_offset_o * sizeof(ODataType);
+
+        static_assert(ScaleTensor::size() == 2);
+        float s0 = scale_[number<0>{}];
+        float s1 = scale_[number<1>{}];
+
+        index_t loop_cnt = n / Block_N;
+
+        register float v_c0 asm("v64");
+        register float v_c1 asm("v65");
+        register float v_c2 asm("v66");
+        register float v_c3 asm("v67");
+        register float v_c4 asm("v68");
+        register float v_c5 asm("v69");
+        register float v_c6 asm("v70");
+        register float v_c7 asm("v71");
+        register float v_c8 asm("v72");
+        register float v_c9 asm("v73");
+        register float v_c10 asm("v74");
+        register float v_c11 asm("v75");
+        register float v_c12 asm("v76");
+        register float v_c13 asm("v77");
+        register float v_c14 asm("v78");
+        register float v_c15 asm("v79");
+        register float v_c16 asm("v80");
+        register float v_c17 asm("v81");
+        register float v_c18 asm("v82");
+        register float v_c19 asm("v83");
+        register float v_c20 asm("v84");
+        register float v_c21 asm("v85");
+        register float v_c22 asm("v86");
+        register float v_c23 asm("v87");
+        register float v_c24 asm("v88");
+        register float v_c25 asm("v89");
+        register float v_c26 asm("v90");
+        register float v_c27 asm("v91");
+        register float v_c28 asm("v92");
+        register float v_c29 asm("v93");
+        register float v_c30 asm("v94");
+        register float v_c31 asm("v95");
+        int32_t nan_hi = 0x7fff0000;
+        int32_t nan_lo = 0x00007fff;
+
+        // in smem, the layout is  M0(2)*K0(128)*M1(16)*K1(4)
+        // every threads need 8xK in contiguous register
+        // ... and every wave need the same data
+        int lane_id  = threadIdx.x % 64;
+        int sld_y_os = (lane_id % 16) * 4 + (lane_id / 16) * 128;
+        sld_y_os *= 2;
+
+        //                    y     y     p     p      p      y
+        // reg before shfl  M0(2)*N0(2)*Nl(4)*Nw(4)*Mw(16)*Nv(4)
+        // but order is N0*M0*Nv
+        // in LDS we need store as
+        //          M0(2)* N0(2) *  Nl(4) * Nw(4) * (Mw(16)*Nv(4) + 4)
+        //             y    y       wave-id  lid/16  lid%16   v
+        // sst(v3) = (v0/16*34 + v0%16 * 2 + wid*136) * 4
+        int sfl_sst = (threadIdx.x % 16 * 4) + (threadIdx.x / 16) * (64 + 4);
+        sfl_sst *= 2;
+
+        // from LDS we need load as
+        //          M0(2)*    N0(2) *  Nl(4) * Nw(4) * (Mw(16)         *  Nv(4) + 4)
+        //        ( 2 issue)    (rem 32-lane)        (4 wave*4issue)   2lane*1ussue(pk2)
+        // sld(v4) = v0/2 *34*4  + v0 % 2 *4 + wid*2 *4
+        int sfl_sld = (lane_id % 2) * 2 + (lane_id / 2) * (64 + 4) + (threadIdx.x / 64) * 4;
+        sfl_sld *= 2;
+
+        // B nr->kr
+        // clang-format off
+#pragma clang diagnostic push
+#pragma clang diagnostic ignored "-Winline-asm"
+        asm volatile(
+#define CK_TILE_FLATMM_UK_MFMA CK_TILE_FLATMM_UK_MFMA_BF16
+#include "uk/flatmm_sn_uk_gfx9_32x128x512_1x4x1_16x16x16.inc"
+#undef CK_TILE_FLATMM_UK_MFMA
+            :[smem_]"+r"(smem),
+            [s_loop_cnt]"+s"(loop_cnt),
+                [c0]"+v" (v_c0),
+                [c1]"+v" (v_c1),
+                [c2]"+v" (v_c2),
+                [c3]"+v" (v_c3),
+                [c4]"+v" (v_c4),
+                [c5]"+v" (v_c5),
+                [c6]"+v" (v_c6),
+                [c7]"+v" (v_c7),
+                [c8]"+v" (v_c8),
+                [c9]"+v" (v_c9),
+                [c10]"+v"(v_c10),
+                [c11]"+v"(v_c11),
+                [c12]"+v"(v_c12),
+                [c13]"+v"(v_c13),
+                [c14]"+v"(v_c14),
+                [c15]"+v"(v_c15),
+                [c16]"+v"(v_c16),
+                [c17]"+v"(v_c17),
+                [c18]"+v"(v_c18),
+                [c19]"+v"(v_c19),
+                [c20]"+v"(v_c20),
+                [c21]"+v"(v_c21),
+                [c22]"+v"(v_c22),
+                [c23]"+v"(v_c23),
+                [c24]"+v"(v_c24),
+                [c25]"+v"(v_c25),
+                [c26]"+v"(v_c26),
+                [c27]"+v"(v_c27),
+                [c28]"+v"(v_c28),
+                [c29]"+v"(v_c29),
+                [c30]"+v"(v_c30),
+                [c31]"+v"(v_c31)
+            :
+            [sld_a_base]"n"(0),
+            [shfl_base]"n"(0),
+            [v_sld_y_os]"v"(sld_y_os),
+            [v_sfl_sld]"v"(sfl_sld),
+            [v_sfl_sst]"v"(sfl_sst),
+            [s_res_o0]"s"(res_o[0]),
+                [s_res_o1]"s"(res_o[1]),
+                //[s_res_o2]"s"(res_o[2]),
+                //[s_res_o3]"s"(res_o[3]),
+                [s_res_b0]"s"(res_b[0]),
+                [s_res_b1]"s"(res_b[1]),
+                [s_res_b2]"s"(res_b[2]),
+                [s_res_b3]"s"(res_b[3]),
+                [v_os_o0]"v"(static_cast<index_t>(cached_coords_o[number<0>{}] * sizeof(ODataType))),
+                [v_os_o1]"v"(static_cast<index_t>(cached_coords_o[number<1>{}] * sizeof(ODataType))),
+                [v_os_o2]"v"(static_cast<index_t>(cached_coords_o[number<2>{}] * sizeof(ODataType))),
+                [v_os_o3]"v"(static_cast<index_t>(cached_coords_o[number<3>{}] * sizeof(ODataType))),
+                [v_os_o4]"v"(static_cast<index_t>(cached_coords_o[number<4>{}] * sizeof(ODataType))),
+                [v_os_o5]"v"(static_cast<index_t>(cached_coords_o[number<5>{}] * sizeof(ODataType))),
+                [v_os_o6]"v"(static_cast<index_t>(cached_coords_o[number<6>{}] * sizeof(ODataType))),
+                [v_os_o7]"v"(static_cast<index_t>(cached_coords_o[number<7>{}] * sizeof(ODataType))),
+                [v_os_b0]"v"(static_cast<index_t>(cached_coords_b[number<0>{}] * sizeof(BDataType))),
+                [v_os_b1]"v"(static_cast<index_t>(cached_coords_b[number<1>{}] * sizeof(BDataType))),
+                [v_os_b2]"v"(static_cast<index_t>(cached_coords_b[number<2>{}] * sizeof(BDataType))),
+                [v_os_b3]"v"(static_cast<index_t>(cached_coords_b[number<3>{}] * sizeof(BDataType))),
+                [v_os_b4]"v"(static_cast<index_t>(cached_coords_b[number<4>{}] * sizeof(BDataType))),
+                [v_os_b5]"v"(static_cast<index_t>(cached_coords_b[number<5>{}] * sizeof(BDataType))),
+                [v_os_b6]"v"(static_cast<index_t>(cached_coords_b[number<6>{}] * sizeof(BDataType))),
+                [v_os_b7]"v"(static_cast<index_t>(cached_coords_b[number<7>{}] * sizeof(BDataType))),
+
+                [s_tile_os_o]"s"(tile_stride_o_bytes),
+                [s_tile_os_b]"s"(tile_stride_b_bytes),
+                [scale_0]"v"(s0),
+                [scale_1]"v"(s1),
+                [v_nan_lo]"v"(nan_lo),
+                [v_nan_hi]"v"(nan_hi),
+                [s_execflag_0]"s"(o_flags[number<0>{}]),
+                [s_execflag_1]"s"(o_flags[number<1>{}]),
+                [s_execflag_2]"s"(o_flags[number<2>{}]),
+                [s_execflag_3]"s"(o_flags[number<3>{}]),
+                [s_execflag_4]"s"(o_flags[number<4>{}]),
+                [s_execflag_5]"s"(o_flags[number<5>{}]),
+                [s_execflag_6]"s"(o_flags[number<6>{}]),
+                [s_execflag_7]"s"(o_flags[number<7>{}])
+            :
+          "memory", "a0", "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9",
+          "a10", "a11", "a12", "a13", "a14", "a15", "a16", "a17", "a18", "a19",
+          "a20", "a21", "a22", "a23", "a24", "a25", "a26", "a27", "a28", "a29",
+          "a30", "a31", "a32", "a33", "a34", "a35", "a36", "a37", "a38", "a39",
+          "a40", "a41", "a42", "a43", "a44", "a45", "a46", "a47", "a48", "a49",
+          "a50", "a51", "a52", "a53", "a54", "a55", "a56", "a57", "a58", "a59",
+          "a60", "a61", "a62", "a63", "a64", "a65", "a66", "a67", "a68", "a69",
+          "a70", "a71", "a72", "a73", "a74", "a75", "a76", "a77", "a78", "a79",
+          "a80", "a81", "a82", "a83", "a84", "a85", "a86", "a87", "a88", "a89",
+          "a90", "a91", "a92", "a93", "a94", "a95", "a96", "a97", "a98", "a99",
+          "a100", "a101", "a102", "a103", "a104", "a105", "a106", "a107",
+          "a108", "a109", "a110", "a111", "a112", "a113", "a114", "a115",
+          "a116", "a117", "a118", "a119", "a120", "a121", "a122", "a123",
+          "a124", "a125", "a126", "a127", "a128", "a129", "a130", "a131",
+          "a132", "a133", "a134", "a135", "a136", "a137", "a138", "a139",
+          "a140", "a141", "a142", "a143", "a144", "a145", "a146", "a147",
+          "a148", "a149", "a150", "a151", "a152", "a153", "a154", "a155",
+          "a156", "a157", "a158", "a159", "a160", "a161", "a162", "a163",
+          "a164", "a165", "a166", "a167", "a168", "a169", "a170", "a171",
+          "a172", "a173", "a174", "a175", "a176", "a177", "a178", "a179",
+          "a180", "a181", "a182", "a183", "a184", "a185", "a186", "a187",
+          "a188", "a189", "a190", "a191", "a192", "a193", "a194", "a195",
+          "a196", "a197", "a198", "a199", "a200", "a201", "a202", "a203",
+          "a204", "a205", "a206", "a207", "a208", "a209", "a210", "a211",
+          "a212", "a213", "a214", "a215", "a216", "a217", "a218", "a219",
+          "a220", "a221", "a222", "a223", "a224", "a225", "a226", "a227",
+          "a228", "a229", "a230", "a231", "a232", "a233", "a234", "a235",
+          "a236", "a237", "a238", "a239", "a240", "a241", "a242", "a243",
+          "a244", "a245", "a246", "a247", "a248", "a249", "a250", "a251",
+          "a252", "a253", "a254", "a255", 
+          "s8", "s9", "s12", "s13", "s14", "s15", "s38", "s39", "s52", "s86",
+           "s36", "s37",
+          "v50", "v54", "v55",
+          "v64","v65","v66","v67","v68","v69","v70","v71",
+          "v72","v73","v74","v75","v76","v77","v78","v79",
+          "v80","v81","v82","v83","v84","v85","v86","v87",
+          "v88","v89","v90","v91","v92","v93","v94","v95",
+          "v128", "v129", "v130", "v131",
+          "v132", "v133", "v134", "v135", "v136", "v137", "v138", "v139",
+          "v140", "v141", "v142", "v143", "v144", "v145", "v146", "v147",
+          "v148", "v149", "v150", "v151", "v152", "v153", "v154", "v155",
+          "v156", "v157", "v158", "v159", "v160", "v161", "v162", "v163",
+          "v164", "v165", "v166", "v167", "v168", "v169", "v170", "v171",
+          "v172", "v173", "v174", "v175", "v176", "v177", "v178", "v179",
+          "v180", "v181", "v182", "v183", "v184", "v185", "v186", "v187",
+          "v188", "v189", "v190", "v191", "v192", "v193", "v194", "v195",
+          "v196", "v197", "v198", "v199", "v200", "v201", "v202", "v203",
+          "v204", "v205", "v206", "v207", "v208", "v209", "v210", "v211",
+          "v212", "v213", "v214", "v215", "v216", "v217", "v218", "v219",
+          "v220", "v221", "v222", "v223", "v224", "v225", "v226", "v227",
+          "v228", "v229", "v230", "v231", "v232", "v233", "v234", "v235",
+          "v236", "v237", "v238", "v239", "v240", "v241", "v242", "v243",
+          "v244", "v245", "v246", "v247", "v248", "v249", "v250", "v251",
+          "v252", "v253", "v254", "v255"
+        );
+#pragma clang diagnostic pop
+        // clang-format on
+    }
+};
+
+struct FlatmmSn_32x128x512_1x4x1_16x16x32_FP16 : public FlatmmSn_32x128x512_1x4x1_16x16x32_Base
+{
+    using BDataType = bf16_t;
+    using ODataType = bf16_t;
+
+    // TODO: need paired with tile_window_linear!
+    // TODO: need call init_raw() before call this function!
+    // template <typename AWindow, typename BWindow, typename OWindow, typename ScaleTensor>
+    template <typename BRes,
+              typename BCoords,
+              typename ORes,
+              typename OCoords,
+              typename OFlags,
+              typename ScaleTensor>
+    CK_TILE_DEVICE auto
+    operator()(const BRes& res_b,
+               const BCoords& cached_coords_b,
+               const ORes& res_o,
+               const OCoords& cached_coords_o,
+               const OFlags& o_flags, // this should be in sgpr
+               CK_TILE_LDS_ADDR void* smem,
+               index_t n, // loop along n dim
+               const ScaleTensor& scale_,
+               index_t tile_offset_b, // stride b is fixed to blockKr * blockW, but still can adjust
+               index_t tile_offset_o)
+    {
+        static_assert(BCoords::size() == 8); // 8
+        static_assert(OCoords::size() == 8);
+
+        const index_t tile_stride_b_bytes = tile_offset_b * sizeof(BDataType);
+        const index_t tile_stride_o_bytes = tile_offset_o * sizeof(ODataType);
+
+        static_assert(ScaleTensor::size() == 2);
+        float s0 = scale_[number<0>{}];
+        float s1 = scale_[number<1>{}];
+
+        index_t loop_cnt = n / Block_N;
+
+        register float v_c0 asm("v64");
+        register float v_c1 asm("v65");
+        register float v_c2 asm("v66");
+        register float v_c3 asm("v67");
+        register float v_c4 asm("v68");
+        register float v_c5 asm("v69");
+        register float v_c6 asm("v70");
+        register float v_c7 asm("v71");
+        register float v_c8 asm("v72");
+        register float v_c9 asm("v73");
+        register float v_c10 asm("v74");
+        register float v_c11 asm("v75");
+        register float v_c12 asm("v76");
+        register float v_c13 asm("v77");
+        register float v_c14 asm("v78");
+        register float v_c15 asm("v79");
+        register float v_c16 asm("v80");
+        register float v_c17 asm("v81");
+        register float v_c18 asm("v82");
+        register float v_c19 asm("v83");
+        register float v_c20 asm("v84");
+        register float v_c21 asm("v85");
+        register float v_c22 asm("v86");
+        register float v_c23 asm("v87");
+        register float v_c24 asm("v88");
+        register float v_c25 asm("v89");
+        register float v_c26 asm("v90");
+        register float v_c27 asm("v91");
+        register float v_c28 asm("v92");
+        register float v_c29 asm("v93");
+        register float v_c30 asm("v94");
+        register float v_c31 asm("v95");
+        int32_t nan_hi = 0x7fff0000;
+        int32_t nan_lo = 0x00007fff;
+
+        // in smem, the layout is  M0(2)*K0(128)*M1(16)*K1(4)
+        // every threads need 8xK in contiguous register
+        // ... and every wave need the same data
+        int lane_id  = threadIdx.x % 64;
+        int sld_y_os = (lane_id % 16) * 4 + (lane_id / 16) * 128;
+        sld_y_os *= 2;
+
+        //                    y     y     p     p      p      y
+        // reg before shfl  M0(2)*N0(2)*Nl(4)*Nw(4)*Mw(16)*Nv(4)
+        // but order is N0*M0*Nv
+        // in LDS we need store as
+        //          M0(2)* N0(2) *  Nl(4) * Nw(4) * (Mw(16)*Nv(4) + 4)
+        //             y    y       wave-id  lid/16  lid%16   v
+        // sst(v3) = (v0/16*34 + v0%16 * 2 + wid*136) * 4
+        int sfl_sst = (threadIdx.x % 16 * 4) + (threadIdx.x / 16) * (64 + 4);
+        sfl_sst *= 2;
+
+        // from LDS we need load as
+        //          M0(2)*    N0(2) *  Nl(4) * Nw(4) * (Mw(16)         *  Nv(4) + 4)
+        //        ( 2 issue)    (rem 32-lane)        (4 wave*4issue)   2lane*1ussue(pk2)
+        // sld(v4) = v0/2 *34*4  + v0 % 2 *4 + wid*2 *4
+        int sfl_sld = (lane_id % 2) * 2 + (lane_id / 2) * (64 + 4) + (threadIdx.x / 64) * 4;
+        sfl_sld *= 2;
+
+        // B nr->kr
+        // clang-format off
+#pragma clang diagnostic push
+#pragma clang diagnostic ignored "-Winline-asm"
+        asm volatile(
+#define CK_TILE_FLATMM_UK_MFMA CK_TILE_FLATMM_UK_MFMA_FP16
+#include "uk/flatmm_sn_uk_gfx9_32x128x512_1x4x1_16x16x16.inc"
+#undef CK_TILE_FLATMM_UK_MFMA
+            :[smem_]"+r"(smem),
+            [s_loop_cnt]"+s"(loop_cnt),
+                [c0]"+v" (v_c0),
+                [c1]"+v" (v_c1),
+                [c2]"+v" (v_c2),
+                [c3]"+v" (v_c3),
+                [c4]"+v" (v_c4),
+                [c5]"+v" (v_c5),
+                [c6]"+v" (v_c6),
+                [c7]"+v" (v_c7),
+                [c8]"+v" (v_c8),
+                [c9]"+v" (v_c9),
+                [c10]"+v"(v_c10),
+                [c11]"+v"(v_c11),
+                [c12]"+v"(v_c12),
+                [c13]"+v"(v_c13),
+                [c14]"+v"(v_c14),
+                [c15]"+v"(v_c15),
+                [c16]"+v"(v_c16),
+                [c17]"+v"(v_c17),
+                [c18]"+v"(v_c18),
+                [c19]"+v"(v_c19),
+                [c20]"+v"(v_c20),
+                [c21]"+v"(v_c21),
+                [c22]"+v"(v_c22),
+                [c23]"+v"(v_c23),
+                [c24]"+v"(v_c24),
+                [c25]"+v"(v_c25),
+                [c26]"+v"(v_c26),
+                [c27]"+v"(v_c27),
+                [c28]"+v"(v_c28),
+                [c29]"+v"(v_c29),
+                [c30]"+v"(v_c30),
+                [c31]"+v"(v_c31)
+            :
+            [sld_a_base]"n"(0),
+            [shfl_base]"n"(0),
+            [v_sld_y_os]"v"(sld_y_os),
+            [v_sfl_sld]"v"(sfl_sld),
+            [v_sfl_sst]"v"(sfl_sst),
+            [s_res_o0]"s"(res_o[0]),
+                [s_res_o1]"s"(res_o[1]),
+                //[s_res_o2]"s"(res_o[2]),
+                //[s_res_o3]"s"(res_o[3]),
+                [s_res_b0]"s"(res_b[0]),
+                [s_res_b1]"s"(res_b[1]),
+                [s_res_b2]"s"(res_b[2]),
+                [s_res_b3]"s"(res_b[3]),
+                [v_os_o0]"v"(static_cast<index_t>(cached_coords_o[number<0>{}] * sizeof(ODataType))),
+                [v_os_o1]"v"(static_cast<index_t>(cached_coords_o[number<1>{}] * sizeof(ODataType))),
+                [v_os_o2]"v"(static_cast<index_t>(cached_coords_o[number<2>{}] * sizeof(ODataType))),
+                [v_os_o3]"v"(static_cast<index_t>(cached_coords_o[number<3>{}] * sizeof(ODataType))),
+                [v_os_o4]"v"(static_cast<index_t>(cached_coords_o[number<4>{}] * sizeof(ODataType))),
+                [v_os_o5]"v"(static_cast<index_t>(cached_coords_o[number<5>{}] * sizeof(ODataType))),
+                [v_os_o6]"v"(static_cast<index_t>(cached_coords_o[number<6>{}] * sizeof(ODataType))),
+                [v_os_o7]"v"(static_cast<index_t>(cached_coords_o[number<7>{}] * sizeof(ODataType))),
+                [v_os_b0]"v"(static_cast<index_t>(cached_coords_b[number<0>{}] * sizeof(BDataType))),
+                [v_os_b1]"v"(static_cast<index_t>(cached_coords_b[number<1>{}] * sizeof(BDataType))),
+                [v_os_b2]"v"(static_cast<index_t>(cached_coords_b[number<2>{}] * sizeof(BDataType))),
+                [v_os_b3]"v"(static_cast<index_t>(cached_coords_b[number<3>{}] * sizeof(BDataType))),
+                [v_os_b4]"v"(static_cast<index_t>(cached_coords_b[number<4>{}] * sizeof(BDataType))),
+                [v_os_b5]"v"(static_cast<index_t>(cached_coords_b[number<5>{}] * sizeof(BDataType))),
+                [v_os_b6]"v"(static_cast<index_t>(cached_coords_b[number<6>{}] * sizeof(BDataType))),
+                [v_os_b7]"v"(static_cast<index_t>(cached_coords_b[number<7>{}] * sizeof(BDataType))),
+
+                [s_tile_os_o]"s"(tile_stride_o_bytes),
+                [s_tile_os_b]"s"(tile_stride_b_bytes),
+                [scale_0]"v"(s0),
+                [scale_1]"v"(s1),
+                [v_nan_lo]"v"(nan_lo),
+                [v_nan_hi]"v"(nan_hi),
+                [s_execflag_0]"s"(o_flags[number<0>{}]),
+                [s_execflag_1]"s"(o_flags[number<1>{}]),
+                [s_execflag_2]"s"(o_flags[number<2>{}]),
+                [s_execflag_3]"s"(o_flags[number<3>{}]),
+                [s_execflag_4]"s"(o_flags[number<4>{}]),
+                [s_execflag_5]"s"(o_flags[number<5>{}]),
+                [s_execflag_6]"s"(o_flags[number<6>{}]),
+                [s_execflag_7]"s"(o_flags[number<7>{}])
+            :
+          "memory", "a0", "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9",
+          "a10", "a11", "a12", "a13", "a14", "a15", "a16", "a17", "a18", "a19",
+          "a20", "a21", "a22", "a23", "a24", "a25", "a26", "a27", "a28", "a29",
+          "a30", "a31", "a32", "a33", "a34", "a35", "a36", "a37", "a38", "a39",
+          "a40", "a41", "a42", "a43", "a44", "a45", "a46", "a47", "a48", "a49",
+          "a50", "a51", "a52", "a53", "a54", "a55", "a56", "a57", "a58", "a59",
+          "a60", "a61", "a62", "a63", "a64", "a65", "a66", "a67", "a68", "a69",
+          "a70", "a71", "a72", "a73", "a74", "a75", "a76", "a77", "a78", "a79",
+          "a80", "a81", "a82", "a83", "a84", "a85", "a86", "a87", "a88", "a89",
+          "a90", "a91", "a92", "a93", "a94", "a95", "a96", "a97", "a98", "a99",
+          "a100", "a101", "a102", "a103", "a104", "a105", "a106", "a107",
+          "a108", "a109", "a110", "a111", "a112", "a113", "a114", "a115",
+          "a116", "a117", "a118", "a119", "a120", "a121", "a122", "a123",
+          "a124", "a125", "a126", "a127", "a128", "a129", "a130", "a131",
+          "a132", "a133", "a134", "a135", "a136", "a137", "a138", "a139",
+          "a140", "a141", "a142", "a143", "a144", "a145", "a146", "a147",
+          "a148", "a149", "a150", "a151", "a152", "a153", "a154", "a155",
+          "a156", "a157", "a158", "a159", "a160", "a161", "a162", "a163",
+          "a164", "a165", "a166", "a167", "a168", "a169", "a170", "a171",
+          "a172", "a173", "a174", "a175", "a176", "a177", "a178", "a179",
+          "a180", "a181", "a182", "a183", "a184", "a185", "a186", "a187",
+          "a188", "a189", "a190", "a191", "a192", "a193", "a194", "a195",
+          "a196", "a197", "a198", "a199", "a200", "a201", "a202", "a203",
+          "a204", "a205", "a206", "a207", "a208", "a209", "a210", "a211",
+          "a212", "a213", "a214", "a215", "a216", "a217", "a218", "a219",
+          "a220", "a221", "a222", "a223", "a224", "a225", "a226", "a227",
+          "a228", "a229", "a230", "a231", "a232", "a233", "a234", "a235",
+          "a236", "a237", "a238", "a239", "a240", "a241", "a242", "a243",
+          "a244", "a245", "a246", "a247", "a248", "a249", "a250", "a251",
+          "a252", "a253", "a254", "a255", 
+          "s8", "s9", "s12", "s13", "s14", "s15", "s38", "s39", "s52", "s86",
+           "s36", "s37",
+          "v50", "v54", "v55",
+          "v64","v65","v66","v67","v68","v69","v70","v71",
+          "v72","v73","v74","v75","v76","v77","v78","v79",
+          "v80","v81","v82","v83","v84","v85","v86","v87",
+          "v88","v89","v90","v91","v92","v93","v94","v95",
+          "v128", "v129", "v130", "v131",
+          "v132", "v133", "v134", "v135", "v136", "v137", "v138", "v139",
+          "v140", "v141", "v142", "v143", "v144", "v145", "v146", "v147",
+          "v148", "v149", "v150", "v151", "v152", "v153", "v154", "v155",
+          "v156", "v157", "v158", "v159", "v160", "v161", "v162", "v163",
+          "v164", "v165", "v166", "v167", "v168", "v169", "v170", "v171",
+          "v172", "v173", "v174", "v175", "v176", "v177", "v178", "v179",
+          "v180", "v181", "v182", "v183", "v184", "v185", "v186", "v187",
+          "v188", "v189", "v190", "v191", "v192", "v193", "v194", "v195",
+          "v196", "v197", "v198", "v199", "v200", "v201", "v202", "v203",
+          "v204", "v205", "v206", "v207", "v208", "v209", "v210", "v211",
+          "v212", "v213", "v214", "v215", "v216", "v217", "v218", "v219",
+          "v220", "v221", "v222", "v223", "v224", "v225", "v226", "v227",
+          "v228", "v229", "v230", "v231", "v232", "v233", "v234", "v235",
+          "v236", "v237", "v238", "v239", "v240", "v241", "v242", "v243",
+          "v244", "v245", "v246", "v247", "v248", "v249", "v250", "v251",
+          "v252", "v253", "v254", "v255"
+        );
+#pragma clang diagnostic pop
+        // clang-format on
+    }
+};
+
+} // namespace ck_tile

include/ck_tile/ops/flatmm/block/flatmm_sn_32x128x512_1x4x1_16x16x32_itl.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core.hpp"
+#include "ck_tile/ops/gemm/warp/warp_gemm.hpp"
+#include "ck_tile/ops/flatmm/block/flatmm_uk_config.hpp"
+#include "ck_tile/ops/flatmm/block/flatmm_sn_32x128x512_1x4x1_16x16x32.hpp"
+
+namespace ck_tile {
+
+// "S"tream update output along "N"
+// A in smem, B load from global
+// require 4 wave, occupancy=1c
+
+struct FlatmmSn_32x128x512_1x4x1_16x16x32_BF16_itl : public FlatmmSn_32x128x512_1x4x1_16x16x32_Base
+{
+    using BDataType = bf16_t;
+    using ODataType = bf16_t;
+
+    // TODO: need paired with tile_window_linear!
+    // TODO: need call init_raw() before call this function!
+    // template <typename AWindow, typename BWindow, typename OWindow, typename ScaleTensor>
+    template <typename BRes,
+              typename BCoords,
+              typename ORes,
+              typename OCoords,
+              typename OFlags,
+              typename ScaleTensor>
+    CK_TILE_DEVICE auto
+    operator()(const BRes& res_b,
+               const BCoords& cached_coords_b,
+               const ORes& res_o,
+               const OCoords& cached_coords_o,
+               const OFlags& o_flags, // this should be in sgpr
+               CK_TILE_LDS_ADDR void* smem,
+               index_t n, // loop along n dim
+               const ScaleTensor& scale_,
+               index_t tile_offset_b, // stride b is fixed to blockKr * blockW, but still can adjust
+               index_t tile_offset_o)
+    {
+        static_assert(BCoords::size() == 8); // 8
+        static_assert(OCoords::size() == 8);
+
+        const index_t tile_stride_b_bytes = tile_offset_b * sizeof(BDataType);
+        const index_t tile_stride_o_bytes = tile_offset_o * sizeof(ODataType);
+
+        static_assert(ScaleTensor::size() == 2);
+        float s0 = scale_[number<0>{}];
+        float s1 = scale_[number<1>{}];
+
+        // index_t loop_cnt = n / Block_N;
+
+        register float v_c0 asm("v64");
+        register float v_c1 asm("v65");
+        register float v_c2 asm("v66");
+        register float v_c3 asm("v67");
+        register float v_c4 asm("v68");
+        register float v_c5 asm("v69");
+        register float v_c6 asm("v70");
+        register float v_c7 asm("v71");
+        register float v_c8 asm("v72");
+        register float v_c9 asm("v73");
+        register float v_c10 asm("v74");
+        register float v_c11 asm("v75");
+        register float v_c12 asm("v76");
+        register float v_c13 asm("v77");
+        register float v_c14 asm("v78");
+        register float v_c15 asm("v79");
+        register float v_c16 asm("v80");
+        register float v_c17 asm("v81");
+        register float v_c18 asm("v82");
+        register float v_c19 asm("v83");
+        register float v_c20 asm("v84");
+        register float v_c21 asm("v85");
+        register float v_c22 asm("v86");
+        register float v_c23 asm("v87");
+        register float v_c24 asm("v88");
+        register float v_c25 asm("v89");
+        register float v_c26 asm("v90");
+        register float v_c27 asm("v91");
+        register float v_c28 asm("v92");
+        register float v_c29 asm("v93");
+        register float v_c30 asm("v94");
+        register float v_c31 asm("v95");
+        int32_t nan_hi = 0x7fff0000;
+        int32_t nan_lo = 0x00007fff;
+
+        // in smem, the layout is  M0(2)*K0(128)*M1(16)*K1(4)
+        // every threads need 8xK in contiguous register
+        // ... and every wave need the same data
+        int lane_id  = threadIdx.x % 64;
+        int sld_y_os = (lane_id % 16) * 4 + (lane_id / 16) * 128;
+        sld_y_os *= 2;
+
+        //                    y     y     p     p      p      y
+        // reg before shfl  M0(2)*N0(2)*Nl(4)*Nw(4)*Mw(16)*Nv(4)
+        // but order is N0*M0*Nv
+        // in LDS we need store as
+        //          M0(2)* N0(2) *  Nl(4) * Nw(4) * (Mw(16)*Nv(4) + 4)
+        //             y    y       wave-id  lid/16  lid%16   v
+        // sst(v3) = (v0/16*34 + v0%16 * 2 + wid*136) * 4
+        int sfl_sst = (threadIdx.x % 16 * 4) + (threadIdx.x / 16) * (64 + 4);
+        sfl_sst *= 2;
+
+        // from LDS we need load as
+        //          M0(2)*    N0(2) *  Nl(4) * Nw(4) * (Mw(16)         *  Nv(4) + 4)
+        //        ( 2 issue)    (rem 32-lane)        (4 wave*4issue)   2lane*1ussue(pk2)
+        // sld(v4) = v0/2 *34*4  + v0 % 2 *4 + wid*2 *4
+        int sfl_sld = (lane_id % 2) * 2 + (lane_id / 2) * (64 + 4) + (threadIdx.x / 64) * 4;
+        sfl_sld *= 2;
+
+        // B nr->kr
+        // clang-format off
+#pragma clang diagnostic push
+#pragma clang diagnostic ignored "-Winline-asm"
+        asm volatile(
+#define CK_TILE_FLATMM_UK_MFMA CK_TILE_FLATMM_UK_MFMA_BF16
+#include "uk/flatmm_sn_uk_gfx9_32x128x512_1x4x1_16x16x16_itl.inc"
+#undef CK_TILE_FLATMM_UK_MFMA
+            :[smem_]"+r"(smem),
+            // [s_loop_cnt]"+s"(loop_cnt),
+            [s_loop_cnt]"+s"(n),
+                [c0]"+v" (v_c0),
+                [c1]"+v" (v_c1),
+                [c2]"+v" (v_c2),
+                [c3]"+v" (v_c3),
+                [c4]"+v" (v_c4),
+                [c5]"+v" (v_c5),
+                [c6]"+v" (v_c6),
+                [c7]"+v" (v_c7),
+                [c8]"+v" (v_c8),
+                [c9]"+v" (v_c9),
+                [c10]"+v"(v_c10),
+                [c11]"+v"(v_c11),
+                [c12]"+v"(v_c12),
+                [c13]"+v"(v_c13),
+                [c14]"+v"(v_c14),
+                [c15]"+v"(v_c15),
+                [c16]"+v"(v_c16),
+                [c17]"+v"(v_c17),
+                [c18]"+v"(v_c18),
+                [c19]"+v"(v_c19),
+                [c20]"+v"(v_c20),
+                [c21]"+v"(v_c21),
+                [c22]"+v"(v_c22),
+                [c23]"+v"(v_c23),
+                [c24]"+v"(v_c24),
+                [c25]"+v"(v_c25),
+                [c26]"+v"(v_c26),
+                [c27]"+v"(v_c27),
+                [c28]"+v"(v_c28),
+                [c29]"+v"(v_c29),
+                [c30]"+v"(v_c30),
+                [c31]"+v"(v_c31)
+            :
+            [sld_a_base]"n"(0),
+            [shfl_base]"n"(0),
+            [v_sld_y_os]"v"(sld_y_os),
+            [v_sfl_sld]"v"(sfl_sld),
+            [v_sfl_sst]"v"(sfl_sst),
+            [s_res_o0]"s"(res_o[0]),
+                [s_res_o1]"s"(res_o[1]),
+                //[s_res_o2]"s"(res_o[2]),
+                //[s_res_o3]"s"(res_o[3]),
+                [s_res_b0]"s"(res_b[0]),
+                [s_res_b1]"s"(res_b[1]),
+                [s_res_b2]"s"(res_b[2]),
+                [s_res_b3]"s"(res_b[3]),
+                [v_os_o0]"v"(static_cast<index_t>(cached_coords_o[number<0>{}] * sizeof(ODataType))),
+                [v_os_o1]"v"(static_cast<index_t>(cached_coords_o[number<1>{}] * sizeof(ODataType))),
+                [v_os_o2]"v"(static_cast<index_t>(cached_coords_o[number<2>{}] * sizeof(ODataType))),
+                [v_os_o3]"v"(static_cast<index_t>(cached_coords_o[number<3>{}] * sizeof(ODataType))),
+                [v_os_o4]"v"(static_cast<index_t>(cached_coords_o[number<4>{}] * sizeof(ODataType))),
+                [v_os_o5]"v"(static_cast<index_t>(cached_coords_o[number<5>{}] * sizeof(ODataType))),
+                [v_os_o6]"v"(static_cast<index_t>(cached_coords_o[number<6>{}] * sizeof(ODataType))),
+                [v_os_o7]"v"(static_cast<index_t>(cached_coords_o[number<7>{}] * sizeof(ODataType))),
+                [v_os_b0]"v"(static_cast<index_t>(cached_coords_b[number<0>{}] * sizeof(BDataType))),
+                [v_os_b1]"v"(static_cast<index_t>(cached_coords_b[number<1>{}] * sizeof(BDataType))),
+                [v_os_b2]"v"(static_cast<index_t>(cached_coords_b[number<2>{}] * sizeof(BDataType))),
+                [v_os_b3]"v"(static_cast<index_t>(cached_coords_b[number<3>{}] * sizeof(BDataType))),
+                [v_os_b4]"v"(static_cast<index_t>(cached_coords_b[number<4>{}] * sizeof(BDataType))),
+                [v_os_b5]"v"(static_cast<index_t>(cached_coords_b[number<5>{}] * sizeof(BDataType))),
+                [v_os_b6]"v"(static_cast<index_t>(cached_coords_b[number<6>{}] * sizeof(BDataType))),
+                [v_os_b7]"v"(static_cast<index_t>(cached_coords_b[number<7>{}] * sizeof(BDataType))),
+
+                [s_tile_os_o]"s"(tile_stride_o_bytes),
+                [s_tile_os_b]"s"(tile_stride_b_bytes),
+                [scale_0]"v"(s0),
+                [scale_1]"v"(s1),
+                [v_nan_lo]"v"(nan_lo),
+                [v_nan_hi]"v"(nan_hi),
+                [s_execflag_0]"s"(o_flags[number<0>{}]),
+                [s_execflag_1]"s"(o_flags[number<1>{}]),
+                [s_execflag_2]"s"(o_flags[number<2>{}]),
+                [s_execflag_3]"s"(o_flags[number<3>{}]),
+                [s_execflag_4]"s"(o_flags[number<4>{}]),
+                [s_execflag_5]"s"(o_flags[number<5>{}]),
+                [s_execflag_6]"s"(o_flags[number<6>{}]),
+                [s_execflag_7]"s"(o_flags[number<7>{}])
+            :
+          "memory", "a0", "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9",
+          "a10", "a11", "a12", "a13", "a14", "a15", "a16", "a17", "a18", "a19",
+          "a20", "a21", "a22", "a23", "a24", "a25", "a26", "a27", "a28", "a29",
+          "a30", "a31", "a32", "a33", "a34", "a35", "a36", "a37", "a38", "a39",
+          "a40", "a41", "a42", "a43", "a44", "a45", "a46", "a47", "a48", "a49",
+          "a50", "a51", "a52", "a53", "a54", "a55", "a56", "a57", "a58", "a59",
+          "a60", "a61", "a62", "a63", "a64", "a65", "a66", "a67", "a68", "a69",
+          "a70", "a71", "a72", "a73", "a74", "a75", "a76", "a77", "a78", "a79",
+          "a80", "a81", "a82", "a83", "a84", "a85", "a86", "a87", "a88", "a89",
+          "a90", "a91", "a92", "a93", "a94", "a95", "a96", "a97", "a98", "a99",
+          "a100", "a101", "a102", "a103", "a104", "a105", "a106", "a107",
+          "a108", "a109", "a110", "a111", "a112", "a113", "a114", "a115",
+          "a116", "a117", "a118", "a119", "a120", "a121", "a122", "a123",
+          "a124", "a125", "a126", "a127", "a128", "a129", "a130", "a131",
+          "a132", "a133", "a134", "a135", "a136", "a137", "a138", "a139",
+          "a140", "a141", "a142", "a143", "a144", "a145", "a146", "a147",
+          "a148", "a149", "a150", "a151", "a152", "a153", "a154", "a155",
+          "a156", "a157", "a158", "a159", "a160", "a161", "a162", "a163",
+          "a164", "a165", "a166", "a167", "a168", "a169", "a170", "a171",
+          "a172", "a173", "a174", "a175", "a176", "a177", "a178", "a179",
+          "a180", "a181", "a182", "a183", "a184", "a185", "a186", "a187",
+          "a188", "a189", "a190", "a191", "a192", "a193", "a194", "a195",
+          "a196", "a197", "a198", "a199", "a200", "a201", "a202", "a203",
+          "a204", "a205", "a206", "a207", "a208", "a209", "a210", "a211",
+          "a212", "a213", "a214", "a215", "a216", "a217", "a218", "a219",
+          "a220", "a221", "a222", "a223", "a224", "a225", "a226", "a227",
+          "a228", "a229", "a230", "a231", "a232", "a233", "a234", "a235",
+          "a236", "a237", "a238", "a239", "a240", "a241", "a242", "a243",
+          "a244", "a245", "a246", "a247", "a248", "a249", "a250", "a251",
+          "a252", "a253", "a254", "a255", 
+          "s8", "s9", "s12", "s13", "s14", "s15", "s38", "s39", "s52", "s86",
+          "s36", "s37","s59","s80",
+          "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17",
+          "v50", "v54", "v55",
+          "v64","v65","v66","v67","v68","v69","v70","v71",
+          "v72","v73","v74","v75","v76","v77","v78","v79",
+          "v80","v81","v82","v83","v84","v85","v86","v87",
+          "v88","v89","v90","v91","v92","v93","v94","v95",
+          "v128", "v129", "v130", "v131",
+          "v132", "v133", "v134", "v135", "v136", "v137", "v138", "v139",
+          "v140", "v141", "v142", "v143", "v144", "v145", "v146", "v147",
+          "v148", "v149", "v150", "v151", "v152", "v153", "v154", "v155",
+          "v156", "v157", "v158", "v159", "v160", "v161", "v162", "v163",
+          "v164", "v165", "v166", "v167", "v168", "v169", "v170", "v171",
+          "v172", "v173", "v174", "v175", "v176", "v177", "v178", "v179",
+          "v180", "v181", "v182", "v183", "v184", "v185", "v186", "v187",
+          "v188", "v189", "v190", "v191", "v192", "v193", "v194", "v195",
+          "v196", "v197", "v198", "v199", "v200", "v201", "v202", "v203",
+          "v204", "v205", "v206", "v207", "v208", "v209", "v210", "v211",
+          "v212", "v213", "v214", "v215", "v216", "v217", "v218", "v219",
+          "v220", "v221", "v222", "v223", "v224", "v225", "v226", "v227",
+          "v228", "v229", "v230", "v231", "v232", "v233", "v234", "v235",
+          "v236", "v237", "v238", "v239", "v240", "v241", "v242", "v243",
+          "v244", "v245", "v246", "v247", "v248", "v249", "v250", "v251",
+          "v252", "v253", "v254", "v255"
+        );
+#pragma clang diagnostic pop
+        // clang-format on
+    }
+};
+
+struct FlatmmSn_32x128x512_1x4x1_16x16x32_FP16_itl : public FlatmmSn_32x128x512_1x4x1_16x16x32_Base
+{
+    using BDataType = bf16_t;
+    using ODataType = bf16_t;
+
+    // TODO: need paired with tile_window_linear!
+    // TODO: need call init_raw() before call this function!
+    // template <typename AWindow, typename BWindow, typename OWindow, typename ScaleTensor>
+    template <typename BRes,
+              typename BCoords,
+              typename ORes,
+              typename OCoords,
+              typename OFlags,
+              typename ScaleTensor>
+    CK_TILE_DEVICE auto
+    operator()(const BRes& res_b,
+               const BCoords& cached_coords_b,
+               const ORes& res_o,
+               const OCoords& cached_coords_o,
+               const OFlags& o_flags, // this should be in sgpr
+               CK_TILE_LDS_ADDR void* smem,
+               index_t n, // loop along n dim
+               const ScaleTensor& scale_,
+               index_t tile_offset_b, // stride b is fixed to blockKr * blockW, but still can adjust
+               index_t tile_offset_o)
+    {
+        static_assert(BCoords::size() == 8); // 8
+        static_assert(OCoords::size() == 8);
+
+        const index_t tile_stride_b_bytes = tile_offset_b * sizeof(BDataType);
+        const index_t tile_stride_o_bytes = tile_offset_o * sizeof(ODataType);
+
+        static_assert(ScaleTensor::size() == 2);
+        float s0 = scale_[number<0>{}];
+        float s1 = scale_[number<1>{}];
+
+        // index_t loop_cnt = n / Block_N;
+
+        register float v_c0 asm("v64");
+        register float v_c1 asm("v65");
+        register float v_c2 asm("v66");
+        register float v_c3 asm("v67");
+        register float v_c4 asm("v68");
+        register float v_c5 asm("v69");
+        register float v_c6 asm("v70");
+        register float v_c7 asm("v71");
+        register float v_c8 asm("v72");
+        register float v_c9 asm("v73");
+        register float v_c10 asm("v74");
+        register float v_c11 asm("v75");
+        register float v_c12 asm("v76");
+        register float v_c13 asm("v77");
+        register float v_c14 asm("v78");
+        register float v_c15 asm("v79");
+        register float v_c16 asm("v80");
+        register float v_c17 asm("v81");
+        register float v_c18 asm("v82");
+        register float v_c19 asm("v83");
+        register float v_c20 asm("v84");
+        register float v_c21 asm("v85");
+        register float v_c22 asm("v86");
+        register float v_c23 asm("v87");
+        register float v_c24 asm("v88");
+        register float v_c25 asm("v89");
+        register float v_c26 asm("v90");
+        register float v_c27 asm("v91");
+        register float v_c28 asm("v92");
+        register float v_c29 asm("v93");
+        register float v_c30 asm("v94");
+        register float v_c31 asm("v95");
+        int32_t nan_hi = 0x7fff0000;
+        int32_t nan_lo = 0x00007fff;
+
+        // in smem, the layout is  M0(2)*K0(128)*M1(16)*K1(4)
+        // every threads need 8xK in contiguous register
+        // ... and every wave need the same data
+        int lane_id  = threadIdx.x % 64;
+        int sld_y_os = (lane_id % 16) * 4 + (lane_id / 16) * 128;
+        sld_y_os *= 2;
+
+        //                    y     y     p     p      p      y
+        // reg before shfl  M0(2)*N0(2)*Nl(4)*Nw(4)*Mw(16)*Nv(4)
+        // but order is N0*M0*Nv
+        // in LDS we need store as
+        //          M0(2)* N0(2) *  Nl(4) * Nw(4) * (Mw(16)*Nv(4) + 4)
+        //             y    y       wave-id  lid/16  lid%16   v
+        // sst(v3) = (v0/16*34 + v0%16 * 2 + wid*136) * 4
+        int sfl_sst = (threadIdx.x % 16 * 4) + (threadIdx.x / 16) * (64 + 4);
+        sfl_sst *= 2;
+
+        // from LDS we need load as
+        //          M0(2)*    N0(2) *  Nl(4) * Nw(4) * (Mw(16)         *  Nv(4) + 4)
+        //        ( 2 issue)    (rem 32-lane)        (4 wave*4issue)   2lane*1ussue(pk2)
+        // sld(v4) = v0/2 *34*4  + v0 % 2 *4 + wid*2 *4
+        int sfl_sld = (lane_id % 2) * 2 + (lane_id / 2) * (64 + 4) + (threadIdx.x / 64) * 4;
+        sfl_sld *= 2;
+
+        // B nr->kr
+        // clang-format off
+#pragma clang diagnostic push
+#pragma clang diagnostic ignored "-Winline-asm"
+        asm volatile(
+#define CK_TILE_FLATMM_UK_MFMA CK_TILE_FLATMM_UK_MFMA_FP16
+#include "uk/flatmm_sn_uk_gfx9_32x128x512_1x4x1_16x16x16_itl.inc"
+#undef CK_TILE_FLATMM_UK_MFMA
+            :[smem_]"+r"(smem),
+            [s_loop_cnt]"+s"(n),
+                [c0]"+v" (v_c0),
+                [c1]"+v" (v_c1),
+                [c2]"+v" (v_c2),
+                [c3]"+v" (v_c3),
+                [c4]"+v" (v_c4),
+                [c5]"+v" (v_c5),
+                [c6]"+v" (v_c6),
+                [c7]"+v" (v_c7),
+                [c8]"+v" (v_c8),
+                [c9]"+v" (v_c9),
+                [c10]"+v"(v_c10),
+                [c11]"+v"(v_c11),
+                [c12]"+v"(v_c12),
+                [c13]"+v"(v_c13),
+                [c14]"+v"(v_c14),
+                [c15]"+v"(v_c15),
+                [c16]"+v"(v_c16),
+                [c17]"+v"(v_c17),
+                [c18]"+v"(v_c18),
+                [c19]"+v"(v_c19),
+                [c20]"+v"(v_c20),
+                [c21]"+v"(v_c21),
+                [c22]"+v"(v_c22),
+                [c23]"+v"(v_c23),
+                [c24]"+v"(v_c24),
+                [c25]"+v"(v_c25),
+                [c26]"+v"(v_c26),
+                [c27]"+v"(v_c27),
+                [c28]"+v"(v_c28),
+                [c29]"+v"(v_c29),
+                [c30]"+v"(v_c30),
+                [c31]"+v"(v_c31)
+            :
+            [sld_a_base]"n"(0),
+            [shfl_base]"n"(0),
+            [v_sld_y_os]"v"(sld_y_os),
+            [v_sfl_sld]"v"(sfl_sld),
+            [v_sfl_sst]"v"(sfl_sst),
+            [s_res_o0]"s"(res_o[0]),
+                [s_res_o1]"s"(res_o[1]),
+                //[s_res_o2]"s"(res_o[2]),
+                //[s_res_o3]"s"(res_o[3]),
+                [s_res_b0]"s"(res_b[0]),
+                [s_res_b1]"s"(res_b[1]),
+                [s_res_b2]"s"(res_b[2]),
+                [s_res_b3]"s"(res_b[3]),
+                [v_os_o0]"v"(static_cast<index_t>(cached_coords_o[number<0>{}] * sizeof(ODataType))),
+                [v_os_o1]"v"(static_cast<index_t>(cached_coords_o[number<1>{}] * sizeof(ODataType))),
+                [v_os_o2]"v"(static_cast<index_t>(cached_coords_o[number<2>{}] * sizeof(ODataType))),
+                [v_os_o3]"v"(static_cast<index_t>(cached_coords_o[number<3>{}] * sizeof(ODataType))),
+                [v_os_o4]"v"(static_cast<index_t>(cached_coords_o[number<4>{}] * sizeof(ODataType))),
+                [v_os_o5]"v"(static_cast<index_t>(cached_coords_o[number<5>{}] * sizeof(ODataType))),
+                [v_os_o6]"v"(static_cast<index_t>(cached_coords_o[number<6>{}] * sizeof(ODataType))),
+                [v_os_o7]"v"(static_cast<index_t>(cached_coords_o[number<7>{}] * sizeof(ODataType))),
+                [v_os_b0]"v"(static_cast<index_t>(cached_coords_b[number<0>{}] * sizeof(BDataType))),
+                [v_os_b1]"v"(static_cast<index_t>(cached_coords_b[number<1>{}] * sizeof(BDataType))),
+                [v_os_b2]"v"(static_cast<index_t>(cached_coords_b[number<2>{}] * sizeof(BDataType))),
+                [v_os_b3]"v"(static_cast<index_t>(cached_coords_b[number<3>{}] * sizeof(BDataType))),
+                [v_os_b4]"v"(static_cast<index_t>(cached_coords_b[number<4>{}] * sizeof(BDataType))),
+                [v_os_b5]"v"(static_cast<index_t>(cached_coords_b[number<5>{}] * sizeof(BDataType))),
+                [v_os_b6]"v"(static_cast<index_t>(cached_coords_b[number<6>{}] * sizeof(BDataType))),
+                [v_os_b7]"v"(static_cast<index_t>(cached_coords_b[number<7>{}] * sizeof(BDataType))),
+
+                [s_tile_os_o]"s"(tile_stride_o_bytes),
+                [s_tile_os_b]"s"(tile_stride_b_bytes),
+                [scale_0]"v"(s0),
+                [scale_1]"v"(s1),
+                [v_nan_lo]"v"(nan_lo),
+                [v_nan_hi]"v"(nan_hi),
+                [s_execflag_0]"s"(o_flags[number<0>{}]),
+                [s_execflag_1]"s"(o_flags[number<1>{}]),
+                [s_execflag_2]"s"(o_flags[number<2>{}]),
+                [s_execflag_3]"s"(o_flags[number<3>{}]),
+                [s_execflag_4]"s"(o_flags[number<4>{}]),
+                [s_execflag_5]"s"(o_flags[number<5>{}]),
+                [s_execflag_6]"s"(o_flags[number<6>{}]),
+                [s_execflag_7]"s"(o_flags[number<7>{}])
+            :
+          "memory", "a0", "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9",
+          "a10", "a11", "a12", "a13", "a14", "a15", "a16", "a17", "a18", "a19",
+          "a20", "a21", "a22", "a23", "a24", "a25", "a26", "a27", "a28", "a29",
+          "a30", "a31", "a32", "a33", "a34", "a35", "a36", "a37", "a38", "a39",
+          "a40", "a41", "a42", "a43", "a44", "a45", "a46", "a47", "a48", "a49",
+          "a50", "a51", "a52", "a53", "a54", "a55", "a56", "a57", "a58", "a59",
+          "a60", "a61", "a62", "a63", "a64", "a65", "a66", "a67", "a68", "a69",
+          "a70", "a71", "a72", "a73", "a74", "a75", "a76", "a77", "a78", "a79",
+          "a80", "a81", "a82", "a83", "a84", "a85", "a86", "a87", "a88", "a89",
+          "a90", "a91", "a92", "a93", "a94", "a95", "a96", "a97", "a98", "a99",
+          "a100", "a101", "a102", "a103", "a104", "a105", "a106", "a107",
+          "a108", "a109", "a110", "a111", "a112", "a113", "a114", "a115",
+          "a116", "a117", "a118", "a119", "a120", "a121", "a122", "a123",
+          "a124", "a125", "a126", "a127", "a128", "a129", "a130", "a131",
+          "a132", "a133", "a134", "a135", "a136", "a137", "a138", "a139",
+          "a140", "a141", "a142", "a143", "a144", "a145", "a146", "a147",
+          "a148", "a149", "a150", "a151", "a152", "a153", "a154", "a155",
+          "a156", "a157", "a158", "a159", "a160", "a161", "a162", "a163",
+          "a164", "a165", "a166", "a167", "a168", "a169", "a170", "a171",
+          "a172", "a173", "a174", "a175", "a176", "a177", "a178", "a179",
+          "a180", "a181", "a182", "a183", "a184", "a185", "a186", "a187",
+          "a188", "a189", "a190", "a191", "a192", "a193", "a194", "a195",
+          "a196", "a197", "a198", "a199", "a200", "a201", "a202", "a203",
+          "a204", "a205", "a206", "a207", "a208", "a209", "a210", "a211",
+          "a212", "a213", "a214", "a215", "a216", "a217", "a218", "a219",
+          "a220", "a221", "a222", "a223", "a224", "a225", "a226", "a227",
+          "a228", "a229", "a230", "a231", "a232", "a233", "a234", "a235",
+          "a236", "a237", "a238", "a239", "a240", "a241", "a242", "a243",
+          "a244", "a245", "a246", "a247", "a248", "a249", "a250", "a251",
+          "a252", "a253", "a254", "a255", 
+          "s8", "s9", "s12", "s13", "s14", "s15", "s38", "s39", "s52", "s86",
+          "s36", "s37","s59","s80",
+          "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17",
+          "v50", "v54", "v55",
+          "v64","v65","v66","v67","v68","v69","v70","v71",
+          "v72","v73","v74","v75","v76","v77","v78","v79",
+          "v80","v81","v82","v83","v84","v85","v86","v87",
+          "v88","v89","v90","v91","v92","v93","v94","v95",
+          "v128", "v129", "v130", "v131",
+          "v132", "v133", "v134", "v135", "v136", "v137", "v138", "v139",
+          "v140", "v141", "v142", "v143", "v144", "v145", "v146", "v147",
+          "v148", "v149", "v150", "v151", "v152", "v153", "v154", "v155",
+          "v156", "v157", "v158", "v159", "v160", "v161", "v162", "v163",
+          "v164", "v165", "v166", "v167", "v168", "v169", "v170", "v171",
+          "v172", "v173", "v174", "v175", "v176", "v177", "v178", "v179",
+          "v180", "v181", "v182", "v183", "v184", "v185", "v186", "v187",
+          "v188", "v189", "v190", "v191", "v192", "v193", "v194", "v195",
+          "v196", "v197", "v198", "v199", "v200", "v201", "v202", "v203",
+          "v204", "v205", "v206", "v207", "v208", "v209", "v210", "v211",
+          "v212", "v213", "v214", "v215", "v216", "v217", "v218", "v219",
+          "v220", "v221", "v222", "v223", "v224", "v225", "v226", "v227",
+          "v228", "v229", "v230", "v231", "v232", "v233", "v234", "v235",
+          "v236", "v237", "v238", "v239", "v240", "v241", "v242", "v243",
+          "v244", "v245", "v246", "v247", "v248", "v249", "v250", "v251",
+          "v252", "v253", "v254", "v255"
+        );
+#pragma clang diagnostic pop
+        // clang-format on
+    }
+};
+
+} // namespace ck_tile

include/ck_tile/ops/flatmm/block/flatmm_uk_config.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#define CK_TILE_FLATMM_UK_MFMA_FP16 0
+#define CK_TILE_FLATMM_UK_MFMA_BF16 1
+#define CK_TILE_FLATMM_UK_MFMA_INT8 2
+#define CK_TILE_FLATMM_UK_MFMA_FP8 3
+#define CK_TILE_FLATMM_UK_MFMA_BF8 4

include/ck_tile/ops/flatmm/block/uk/README.md

+the files under this folder should not be included directly!
\ No newline at end of file

include/ck_tile/ops/flatmm/block/uk/flatmm_sn_uk_gfx9_32x128x512_1x4x1_16x16x16.inc

+#ifndef CK_TILE_FLATMM_UK_MFMA
+#define CK_TILE_FLATMM_UK_MFMA CK_TILE_FLATMM_UK_MFMA_BF16
+#endif
+
+#if CK_TILE_FLATMM_UK_MFMA == CK_TILE_FLATMM_UK_MFMA_BF16
+#define _UK_MFMA_ "v_mfma_f32_16x16x16_bf16"
+
+#define _UK_PK_CVT_(x0_, x1_, y_)                            \
+    "  v_cmp_u_f32   s[36:37], " x0_ ", " x0_ "          \n" \
+    "  v_add3_u32    v50, " x0_ ", %[v_nan_lo], 1        \n" \
+    "  v_cndmask_b32  v54, v50, %[v_nan_hi], s[36:37]    \n" \
+    "  v_cmp_u_f32   s[36:37], " x1_ ", " x1_ "          \n" \
+    "  v_add3_u32    v50, " x1_ ", %[v_nan_lo], 1        \n" \
+    "  v_cndmask_b32  v55, v50, %[v_nan_hi], s[36:37]    \n" \
+    "  v_perm_b32    " y_ ", v55, v54, s52               \n"
+
+#define _UK_ATOMIC_ADD_ "global_atomic_pk_add_bf16"
+
+#elif CK_TILE_FLATMM_UK_MFMA == CK_TILE_FLATMM_UK_MFMA_FP16
+#define _UK_MFMA_ "v_mfma_f32_16x16x16_f16"
+
+#define _UK_PK_CVT_(x0_, x1_, y_)       \
+    "  v_cvt_f16_f32  v54, " x0_ "  \n" \
+    "  v_cvt_f16_f32  v55, " x1_ "  \n" \
+    "  v_pack_b32_f16 " y_ ", v54, v55  \n"
+
+#define _UK_ATOMIC_ADD_ "global_atomic_pk_add_f16"
+
+#endif
+
+";-------------------------------------------------------------\n"
+    " s_mov_b32 s52, 0x07060302 ; v_perm\n"
+    " s_mov_b64 s[38:39], exec ; save current exec\n"
+    " s_mov_b32 s8,    %[s_res_o0] \n"
+    " s_mov_b32 s9,    %[s_res_o1] \n"
+    " s_mov_b32 s12,    %[s_res_b0] \n"
+    " s_mov_b32 s13,    %[s_res_b1] \n"
+    " s_mov_b32 s14,    %[s_res_b2] \n"
+    " s_mov_b32 s15,    %[s_res_b3] \n"
+    " ds_read_b64   v[128:129], %[v_sld_y_os] offset:0 + %[sld_a_base]                       \n"
+    " ds_read_b64   v[130:131], %[v_sld_y_os] offset:128 + %[sld_a_base]                     \n"
+    " ds_read_b64   v[132:133], %[v_sld_y_os] offset:1024 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[134:135], %[v_sld_y_os] offset:1152 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[136:137], %[v_sld_y_os] offset:2048 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[138:139], %[v_sld_y_os] offset:2176 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[140:141], %[v_sld_y_os] offset:3072 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[142:143], %[v_sld_y_os] offset:3200 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[144:145], %[v_sld_y_os] offset:4096 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[146:147], %[v_sld_y_os] offset:4224 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[148:149], %[v_sld_y_os] offset:5120 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[150:151], %[v_sld_y_os] offset:5248 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[152:153], %[v_sld_y_os] offset:6144 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[154:155], %[v_sld_y_os] offset:6272 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[156:157], %[v_sld_y_os] offset:7168 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[158:159], %[v_sld_y_os] offset:7296 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[160:161], %[v_sld_y_os] offset:8192 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[162:163], %[v_sld_y_os] offset:8320 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[164:165], %[v_sld_y_os] offset:9216 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[166:167], %[v_sld_y_os] offset:9344 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[168:169], %[v_sld_y_os] offset:10240 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[170:171], %[v_sld_y_os] offset:10368 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[172:173], %[v_sld_y_os] offset:11264 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[174:175], %[v_sld_y_os] offset:11392 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[176:177], %[v_sld_y_os] offset:12288 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[178:179], %[v_sld_y_os] offset:12416 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[180:181], %[v_sld_y_os] offset:13312 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[182:183], %[v_sld_y_os] offset:13440 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[184:185], %[v_sld_y_os] offset:14336 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[186:187], %[v_sld_y_os] offset:14464 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[188:189], %[v_sld_y_os] offset:15360 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[190:191], %[v_sld_y_os] offset:15488 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[192:193], %[v_sld_y_os] offset:16384 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[194:195], %[v_sld_y_os] offset:16512 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[196:197], %[v_sld_y_os] offset:17408 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[198:199], %[v_sld_y_os] offset:17536 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[200:201], %[v_sld_y_os] offset:18432 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[202:203], %[v_sld_y_os] offset:18560 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[204:205], %[v_sld_y_os] offset:19456 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[206:207], %[v_sld_y_os] offset:19584 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[208:209], %[v_sld_y_os] offset:20480 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[210:211], %[v_sld_y_os] offset:20608 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[212:213], %[v_sld_y_os] offset:21504 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[214:215], %[v_sld_y_os] offset:21632 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[216:217], %[v_sld_y_os] offset:22528 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[218:219], %[v_sld_y_os] offset:22656 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[220:221], %[v_sld_y_os] offset:23552 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[222:223], %[v_sld_y_os] offset:23680 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[224:225], %[v_sld_y_os] offset:24576 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[226:227], %[v_sld_y_os] offset:24704 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[228:229], %[v_sld_y_os] offset:25600 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[230:231], %[v_sld_y_os] offset:25728 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[232:233], %[v_sld_y_os] offset:26624 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[234:235], %[v_sld_y_os] offset:26752 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[236:237], %[v_sld_y_os] offset:27648 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[238:239], %[v_sld_y_os] offset:27776 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[240:241], %[v_sld_y_os] offset:28672 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[242:243], %[v_sld_y_os] offset:28800 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[244:245], %[v_sld_y_os] offset:29696 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[246:247], %[v_sld_y_os] offset:29824 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[248:249], %[v_sld_y_os] offset:30720 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[250:251], %[v_sld_y_os] offset:30848 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[252:253], %[v_sld_y_os] offset:31744 + %[sld_a_base]                    \n"
+    " ds_read_b64   v[254:255], %[v_sld_y_os] offset:31872 + %[sld_a_base]                    \n"
+    "  s_waitcnt 0                    \n"
+    "  buffer_load_dwordx4  acc[0:3], %[v_os_b0], s[12:15], 0 offen \n"
+    "  buffer_load_dwordx4  acc[4:7], %[v_os_b0], s[12:15], 0 offen offset:1024 \n"
+    "  buffer_load_dwordx4  acc[8:11], %[v_os_b0], s[12:15], 0 offen offset:2048 \n"
+    "  buffer_load_dwordx4  acc[12:15], %[v_os_b0], s[12:15], 0 offen offset:3072 \n"
+    "  buffer_load_dwordx4  acc[16:19], %[v_os_b1], s[12:15], 0 offen \n"
+    "  buffer_load_dwordx4  acc[20:23], %[v_os_b1], s[12:15], 0 offen offset:1024 \n"
+    "  buffer_load_dwordx4  acc[24:27], %[v_os_b1], s[12:15], 0 offen offset:2048 \n"
+    "  buffer_load_dwordx4  acc[28:31], %[v_os_b1], s[12:15], 0 offen offset:3072 \n"
+    "  buffer_load_dwordx4  acc[32:35], %[v_os_b2], s[12:15], 0 offen \n"
+    "  buffer_load_dwordx4  acc[36:39], %[v_os_b2], s[12:15], 0 offen offset:1024 \n"
+    "  buffer_load_dwordx4  acc[40:43], %[v_os_b2], s[12:15], 0 offen offset:2048 \n"
+    "  buffer_load_dwordx4  acc[44:47], %[v_os_b2], s[12:15], 0 offen offset:3072 \n"
+    "  buffer_load_dwordx4  acc[48:51], %[v_os_b3], s[12:15], 0 offen \n"
+    "  buffer_load_dwordx4  acc[52:55], %[v_os_b3], s[12:15], 0 offen offset:1024 \n"
+    "  buffer_load_dwordx4  acc[56:59], %[v_os_b3], s[12:15], 0 offen offset:2048 \n"
+    "  buffer_load_dwordx4  acc[60:63], %[v_os_b3], s[12:15], 0 offen offset:3072 \n"
+    "  buffer_load_dwordx4  acc[64:67], %[v_os_b4], s[12:15], 0 offen \n"
+    "  buffer_load_dwordx4  acc[68:71], %[v_os_b4], s[12:15], 0 offen offset:1024 \n"
+    "  buffer_load_dwordx4  acc[72:75], %[v_os_b4], s[12:15], 0 offen offset:2048 \n"
+    "  buffer_load_dwordx4  acc[76:79], %[v_os_b4], s[12:15], 0 offen offset:3072 \n"
+    "  buffer_load_dwordx4  acc[80:83], %[v_os_b5], s[12:15], 0 offen \n"
+    "  buffer_load_dwordx4  acc[84:87], %[v_os_b5], s[12:15], 0 offen offset:1024 \n"
+    "  buffer_load_dwordx4  acc[88:91], %[v_os_b5], s[12:15], 0 offen offset:2048 \n"
+    "  buffer_load_dwordx4  acc[92:95], %[v_os_b5], s[12:15], 0 offen offset:3072 \n"
+    "  buffer_load_dwordx4  acc[96:99], %[v_os_b6], s[12:15], 0 offen \n"
+    "  buffer_load_dwordx4  acc[100:103], %[v_os_b6], s[12:15], 0 offen offset:1024 \n"
+    "  buffer_load_dwordx4  acc[104:107], %[v_os_b6], s[12:15], 0 offen offset:2048 \n"
+    "  buffer_load_dwordx4  acc[108:111], %[v_os_b6], s[12:15], 0 offen offset:3072 \n"
+    "  buffer_load_dwordx4  acc[112:115], %[v_os_b7], s[12:15], 0 offen \n"
+    "  buffer_load_dwordx4  acc[116:119], %[v_os_b7], s[12:15], 0 offen offset:1024 \n"
+    "  buffer_load_dwordx4  acc[120:123], %[v_os_b7], s[12:15], 0 offen offset:2048 \n"
+    "  buffer_load_dwordx4  acc[124:127], %[v_os_b7], s[12:15], 0 offen offset:3072 \n"
+    "  s_cmp_gt_i32  %[s_loop_cnt] 1             ; move b with cond \n"
+    "  s_cselect_b32 s86, %[s_tile_os_b], 0                          \n"
+    "  s_add_u32     s12, s86, s12                                  \n"
+    "  s_addc_u32    s13, 0, s13                                    \n"
+    "  s_waitcnt 0                    \n"
+    "L_start%=:                    \n"
+    "  s_waitcnt     vmcnt(32)                               \n"
+    "  s_barrier                                             \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[0:1], v[128:129], 0 \n"
+    "  buffer_load_dwordx4  acc[128:131], %[v_os_b0], s[12:15], 0 offen \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[2:3], v[130:131], [%[c0], %[c1], %[c2], %[c3]] "
+    "\n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[4:5], v[132:133], [%[c0], %[c1], %[c2], "
+    "%[c3]] \n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[6:7], v[134:135], "
+    "[%[c0], %[c1], %[c2], %[c3]] \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[8:9], v[136:137], [%[c0], %[c1], %[c2], %[c3]] \n"
+    "  buffer_load_dwordx4  acc[132:135], %[v_os_b0], s[12:15], 0 offen offset:1024 \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[10:11], v[138:139], [%[c0], %[c1], %[c2], %[c3]] "
+    "\n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[12:13], v[140:141], [%[c0], %[c1], %[c2], "
+    "%[c3]] \n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[14:15], v[142:143], "
+    "[%[c0], %[c1], %[c2], %[c3]] \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[0:1], v[192:193], 0 \n"
+    "  buffer_load_dwordx4  acc[136:139], %[v_os_b0], s[12:15], 0 offen offset:2048 \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[2:3], v[194:195], [%[c4], %[c5], %[c6], %[c7]] "
+    "\n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[4:5], v[196:197], [%[c4], %[c5], %[c6], "
+    "%[c7]] \n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[6:7], v[198:199], "
+    "[%[c4], %[c5], %[c6], %[c7]] \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[8:9], v[200:201], [%[c4], %[c5], %[c6], %[c7]] \n"
+    "  buffer_load_dwordx4  acc[140:143], %[v_os_b0], s[12:15], 0 offen offset:3072 \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[10:11], v[202:203], [%[c4], %[c5], %[c6], %[c7]] "
+    "\n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[12:13], v[204:205], [%[c4], %[c5], %[c6], "
+    "%[c7]] \n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[14:15], v[206:207], "
+    "[%[c4], %[c5], %[c6], %[c7]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[16:17], v[128:129], 0 \n"
+    "  buffer_load_dwordx4  acc[144:147], %[v_os_b1], s[12:15], 0 offen \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[18:19], v[130:131], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c8], %[c9], %[c10], %[c11]], acc[20:21], v[132:133], [%[c8], %[c9], "
+    "%[c10], %[c11]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[22:23], v[134:135], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[24:25], v[136:137], [%[c8], %[c9], %[c10], %[c11]] \n"
+    "  buffer_load_dwordx4  acc[148:151], %[v_os_b1], s[12:15], 0 offen offset:1024 \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[26:27], v[138:139], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c8], %[c9], %[c10], %[c11]], acc[28:29], v[140:141], [%[c8], %[c9], "
+    "%[c10], %[c11]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[30:31], v[142:143], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[16:17], v[192:193], 0 \n"
+    "  buffer_load_dwordx4  acc[152:155], %[v_os_b1], s[12:15], 0 offen offset:2048 \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[18:19], v[194:195], [%[c12], %[c13], %[c14], %[c15]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[20:21], v[196:197], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[22:23], v[198:199], [%[c12], %[c13], %[c14], %[c15]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[24:25], v[200:201], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n"
+    "  buffer_load_dwordx4  acc[156:159], %[v_os_b1], s[12:15], 0 offen offset:3072 \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[26:27], v[202:203], [%[c12], %[c13], %[c14], %[c15]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[28:29], v[204:205], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[30:31], "
+    "v[206:207], [%[c12], %[c13], %[c14], %[c15]] \n"
+    "  s_waitcnt     vmcnt(32)                               \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[32:33], v[144:145], [%[c0], %[c1], %[c2], %[c3]] \n"
+    "  buffer_load_dwordx4  acc[160:163], %[v_os_b2], s[12:15], 0 offen \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[34:35], v[146:147], [%[c0], %[c1], %[c2], %[c3]] "
+    "\n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[36:37], v[148:149], [%[c0], %[c1], %[c2], "
+    "%[c3]] \n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[38:39], v[150:151], "
+    "[%[c0], %[c1], %[c2], %[c3]] \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[40:41], v[152:153], [%[c0], %[c1], %[c2], %[c3]] \n"
+    "  buffer_load_dwordx4  acc[164:167], %[v_os_b2], s[12:15], 0 offen offset:1024 \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[42:43], v[154:155], [%[c0], %[c1], %[c2], %[c3]] "
+    "\n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[44:45], v[156:157], [%[c0], %[c1], %[c2], "
+    "%[c3]] \n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[46:47], v[158:159], "
+    "[%[c0], %[c1], %[c2], %[c3]] \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[32:33], v[208:209], [%[c4], %[c5], %[c6], %[c7]] \n"
+    "  buffer_load_dwordx4  acc[168:171], %[v_os_b2], s[12:15], 0 offen offset:2048 \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[34:35], v[210:211], [%[c4], %[c5], %[c6], %[c7]] "
+    "\n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[36:37], v[212:213], [%[c4], %[c5], %[c6], "
+    "%[c7]] \n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[38:39], v[214:215], "
+    "[%[c4], %[c5], %[c6], %[c7]] \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[40:41], v[216:217], [%[c4], %[c5], %[c6], %[c7]] \n"
+    "  buffer_load_dwordx4  acc[172:175], %[v_os_b2], s[12:15], 0 offen offset:3072 \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[42:43], v[218:219], [%[c4], %[c5], %[c6], %[c7]] "
+    "\n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[44:45], v[220:221], [%[c4], %[c5], %[c6], "
+    "%[c7]] \n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[46:47], v[222:223], "
+    "[%[c4], %[c5], %[c6], %[c7]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[48:49], v[144:145], [%[c8], %[c9], %[c10], %[c11]] \n"
+    "  buffer_load_dwordx4  acc[176:179], %[v_os_b3], s[12:15], 0 offen \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[50:51], v[146:147], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c8], %[c9], %[c10], %[c11]], acc[52:53], v[148:149], [%[c8], %[c9], "
+    "%[c10], %[c11]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[54:55], v[150:151], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[56:57], v[152:153], [%[c8], %[c9], %[c10], %[c11]] \n"
+    "  buffer_load_dwordx4  acc[180:183], %[v_os_b3], s[12:15], 0 offen offset:1024 \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[58:59], v[154:155], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c8], %[c9], %[c10], %[c11]], acc[60:61], v[156:157], [%[c8], %[c9], "
+    "%[c10], %[c11]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[62:63], v[158:159], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[48:49], v[208:209], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n"
+    "  buffer_load_dwordx4  acc[184:187], %[v_os_b3], s[12:15], 0 offen offset:2048 \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[50:51], v[210:211], [%[c12], %[c13], %[c14], %[c15]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[52:53], v[212:213], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[54:55], v[214:215], [%[c12], %[c13], %[c14], %[c15]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[56:57], v[216:217], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n"
+    "  buffer_load_dwordx4  acc[188:191], %[v_os_b3], s[12:15], 0 offen offset:3072 \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[58:59], v[218:219], [%[c12], %[c13], %[c14], %[c15]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[60:61], v[220:221], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[62:63], "
+    "v[222:223], [%[c12], %[c13], %[c14], %[c15]] \n"
+    "  s_waitcnt     vmcnt(32)                               \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[64:65], v[160:161], [%[c0], %[c1], %[c2], %[c3]] \n"
+    "  buffer_load_dwordx4  acc[192:195], %[v_os_b4], s[12:15], 0 offen \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[66:67], v[162:163], [%[c0], %[c1], %[c2], %[c3]] "
+    "\n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[68:69], v[164:165], [%[c0], %[c1], %[c2], "
+    "%[c3]] \n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[70:71], v[166:167], "
+    "[%[c0], %[c1], %[c2], %[c3]] \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[72:73], v[168:169], [%[c0], %[c1], %[c2], %[c3]] \n"
+    "  buffer_load_dwordx4  acc[196:199], %[v_os_b4], s[12:15], 0 offen offset:1024 \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[74:75], v[170:171], [%[c0], %[c1], %[c2], %[c3]] "
+    "\n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[76:77], v[172:173], [%[c0], %[c1], %[c2], "
+    "%[c3]] \n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[78:79], v[174:175], "
+    "[%[c0], %[c1], %[c2], %[c3]] \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[64:65], v[224:225], [%[c4], %[c5], %[c6], %[c7]] \n"
+    "  buffer_load_dwordx4  acc[200:203], %[v_os_b4], s[12:15], 0 offen offset:2048 \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[66:67], v[226:227], [%[c4], %[c5], %[c6], %[c7]] "
+    "\n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[68:69], v[228:229], [%[c4], %[c5], %[c6], "
+    "%[c7]] \n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[70:71], v[230:231], "
+    "[%[c4], %[c5], %[c6], %[c7]] \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[72:73], v[232:233], [%[c4], %[c5], %[c6], %[c7]] \n"
+    "  buffer_load_dwordx4  acc[204:207], %[v_os_b4], s[12:15], 0 offen offset:3072 \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[74:75], v[234:235], [%[c4], %[c5], %[c6], %[c7]] "
+    "\n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[76:77], v[236:237], [%[c4], %[c5], %[c6], "
+    "%[c7]] \n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[78:79], v[238:239], "
+    "[%[c4], %[c5], %[c6], %[c7]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[80:81], v[160:161], [%[c8], %[c9], %[c10], %[c11]] \n"
+    "  buffer_load_dwordx4  acc[208:211], %[v_os_b5], s[12:15], 0 offen \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[82:83], v[162:163], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c8], %[c9], %[c10], %[c11]], acc[84:85], v[164:165], [%[c8], %[c9], "
+    "%[c10], %[c11]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[86:87], v[166:167], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[88:89], v[168:169], [%[c8], %[c9], %[c10], %[c11]] \n"
+    "  buffer_load_dwordx4  acc[212:215], %[v_os_b5], s[12:15], 0 offen offset:1024 \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[90:91], v[170:171], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c8], %[c9], %[c10], %[c11]], acc[92:93], v[172:173], [%[c8], %[c9], "
+    "%[c10], %[c11]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[94:95], v[174:175], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[80:81], v[224:225], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n"
+    "  buffer_load_dwordx4  acc[216:219], %[v_os_b5], s[12:15], 0 offen offset:2048 \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[82:83], v[226:227], [%[c12], %[c13], %[c14], %[c15]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[84:85], v[228:229], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[86:87], v[230:231], [%[c12], %[c13], %[c14], %[c15]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[88:89], v[232:233], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n"
+    "  buffer_load_dwordx4  acc[220:223], %[v_os_b5], s[12:15], 0 offen offset:3072 \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[90:91], v[234:235], [%[c12], %[c13], %[c14], %[c15]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[92:93], v[236:237], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[94:95], "
+    "v[238:239], [%[c12], %[c13], %[c14], %[c15]] \n"
+    "  s_waitcnt     vmcnt(32)                               \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[96:97], v[176:177], [%[c0], %[c1], %[c2], %[c3]] \n"
+    "  buffer_load_dwordx4  acc[224:227], %[v_os_b6], s[12:15], 0 offen \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[98:99], v[178:179], [%[c0], %[c1], %[c2], %[c3]] "
+    "\n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[100:101], v[180:181], [%[c0], %[c1], "
+    "%[c2], %[c3]] \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[102:103], v[182:183], [%[c0], %[c1], %[c2], %[c3]] "
+    "\n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[104:105], v[184:185], [%[c0], %[c1], %[c2], %[c3]] \n"
+    "  buffer_load_dwordx4  acc[228:231], %[v_os_b6], s[12:15], 0 offen offset:1024 \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[106:107], v[186:187], [%[c0], %[c1], %[c2], %[c3]] "
+    "\n" _UK_MFMA_ "  [%[c0], %[c1], %[c2], %[c3]], acc[108:109], v[188:189], [%[c0], %[c1], "
+    "%[c2], %[c3]] \n" _UK_MFMA_
+    "  [%[c0], %[c1], %[c2], %[c3]], acc[110:111], v[190:191], [%[c0], %[c1], %[c2], %[c3]] "
+    "\n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[96:97], v[240:241], [%[c4], %[c5], %[c6], %[c7]] \n"
+    "  buffer_load_dwordx4  acc[232:235], %[v_os_b6], s[12:15], 0 offen offset:2048 \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[98:99], v[242:243], [%[c4], %[c5], %[c6], %[c7]] "
+    "\n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[100:101], v[244:245], [%[c4], %[c5], "
+    "%[c6], %[c7]] \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[102:103], v[246:247], [%[c4], %[c5], %[c6], %[c7]] "
+    "\n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[104:105], v[248:249], [%[c4], %[c5], %[c6], %[c7]] \n"
+    "  buffer_load_dwordx4  acc[236:239], %[v_os_b6], s[12:15], 0 offen offset:3072 \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[106:107], v[250:251], [%[c4], %[c5], %[c6], %[c7]] "
+    "\n" _UK_MFMA_ "  [%[c4], %[c5], %[c6], %[c7]], acc[108:109], v[252:253], [%[c4], %[c5], "
+    "%[c6], %[c7]] \n" _UK_MFMA_
+    "  [%[c4], %[c5], %[c6], %[c7]], acc[110:111], v[254:255], [%[c4], %[c5], %[c6], %[c7]] "
+    "\n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[112:113], v[176:177], [%[c8], %[c9], %[c10], %[c11]] \n"
+    "  buffer_load_dwordx4  acc[240:243], %[v_os_b7], s[12:15], 0 offen \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[114:115], v[178:179], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c8], %[c9], %[c10], %[c11]], acc[116:117], v[180:181], [%[c8], %[c9], "
+    "%[c10], %[c11]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[118:119], v[182:183], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[120:121], v[184:185], [%[c8], %[c9], %[c10], %[c11]] \n"
+    "  buffer_load_dwordx4  acc[244:247], %[v_os_b7], s[12:15], 0 offen offset:1024 \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[122:123], v[186:187], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c8], %[c9], %[c10], %[c11]], acc[124:125], v[188:189], [%[c8], %[c9], "
+    "%[c10], %[c11]] \n" _UK_MFMA_
+    "  [%[c8], %[c9], %[c10], %[c11]], acc[126:127], v[190:191], [%[c8], %[c9], %[c10], %[c11]] "
+    "\n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[112:113], v[240:241], [%[c12], %[c13], "
+    "%[c14], %[c15]] \n"
+    "  buffer_load_dwordx4  acc[248:251], %[v_os_b7], s[12:15], 0 offen offset:2048 \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[114:115], v[242:243], [%[c12], %[c13], %[c14], "
+    "%[c15]] \n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[116:117], v[244:245], [%[c12], "
+    "%[c13], %[c14], %[c15]] \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[118:119], v[246:247], [%[c12], %[c13], %[c14], "
+    "%[c15]] \n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[120:121], v[248:249], [%[c12], "
+    "%[c13], %[c14], %[c15]] \n"
+    "  buffer_load_dwordx4  acc[252:255], %[v_os_b7], s[12:15], 0 offen offset:3072 \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[122:123], v[250:251], [%[c12], %[c13], %[c14], "
+    "%[c15]] \n" _UK_MFMA_ "  [%[c12], %[c13], %[c14], %[c15]], acc[124:125], v[252:253], [%[c12], "
+    "%[c13], %[c14], %[c15]] \n" _UK_MFMA_
+    "  [%[c12], %[c13], %[c14], %[c15]], acc[126:127], v[254:255], [%[c12], %[c13], %[c14], "
+    "%[c15]]\n"
+    "  v_mul_f32     %[c0], %[scale_0], %[c0]                            \n"
+    "  v_mul_f32     %[c1], %[scale_0], %[c1]                            \n"
+    "  v_mul_f32     %[c2], %[scale_0], %[c2]                            \n"
+    "  v_mul_f32     %[c3], %[scale_0], %[c3]                            \n"
+    "  v_mul_f32     %[c4], %[scale_1], %[c4]                            \n"
+    "  v_mul_f32     %[c5], %[scale_1], %[c5]                            \n"
+    "  v_mul_f32     %[c6], %[scale_1], %[c6]                            \n"
+    "  v_mul_f32     %[c7], %[scale_1], %[c7]                            \n"
+    "  v_mul_f32     %[c8], %[scale_0], %[c8]                            \n"
+    "  v_mul_f32     %[c9], %[scale_0], %[c9]                            \n"
+    "  v_mul_f32     %[c10], %[scale_0], %[c10]                            \n"
+    "  v_mul_f32     %[c11], %[scale_0], %[c11]                            \n"
+    "  v_mul_f32     %[c12], %[scale_1], %[c12]                            \n"
+    "  v_mul_f32     %[c13], %[scale_1], %[c13]                            \n"
+    "  v_mul_f32     %[c14], %[scale_1], %[c14]                            \n"
+    "  v_mul_f32     %[c15], %[scale_1], %[c15]                            \n" _UK_PK_CVT_(
+        "%[c0]", "%[c1]", "%[c0]") _UK_PK_CVT_("%[c2]", "%[c3]", "%[c1]")
+        _UK_PK_CVT_("%[c4]", "%[c5]", "%[c2]") _UK_PK_CVT_("%[c6]", "%[c7]", "%[c3]") _UK_PK_CVT_(
+            "%[c8]", "%[c9]", "%[c4]") _UK_PK_CVT_("%[c10]", "%[c11]", "%[c5]")
+            _UK_PK_CVT_("%[c12]", "%[c13]", "%[c6]") _UK_PK_CVT_(
+                "%[c14]",
+                "%[c15]",
+                "%[c7]") "  ;------------------------------  \n"
+                         "  ds_write_b64  %[v_sfl_sst], [%[c0],%[c1]] offset:0    + %[shfl_base]   "
+                         "            \n"
+                         "  ds_write_b64  %[v_sfl_sst], [%[c2],%[c3]] offset:4352 + %[shfl_base]   "
+                         "            \n"
+                         "  ds_write_b64  %[v_sfl_sst], [%[c4],%[c5]] offset:2176 + %[shfl_base]   "
+                         "            \n"
+                         "  ds_write_b64  %[v_sfl_sst], [%[c6],%[c7]] offset:6528 + %[shfl_base]   "
+                         "            \n"
+                         "  s_waitcnt     lgkmcnt(0)                              \n"
+                         "  s_barrier                                             \n"
+                         "  ds_read_b32   %[c0], %[v_sfl_sld] offset:0    + %[shfl_base]           "
+                         "         \n"
+                         "  ds_read_b32   %[c1], %[v_sfl_sld] offset:32   + %[shfl_base]           "
+                         "         \n"
+                         "  ds_read_b32   %[c2], %[v_sfl_sld] offset:64   + %[shfl_base]           "
+                         "         \n"
+                         "  ds_read_b32   %[c3], %[v_sfl_sld] offset:96   + %[shfl_base]           "
+                         "         \n"
+                         "  ds_read_b32   %[c4], %[v_sfl_sld] offset:4352 + %[shfl_base]           "
+                         "         \n"
+                         "  ds_read_b32   %[c5], %[v_sfl_sld] offset:4384 + %[shfl_base]           "
+                         "         \n"
+                         "  ds_read_b32   %[c6], %[v_sfl_sld] offset:4416 + %[shfl_base]           "
+                         "         \n"
+                         "  ds_read_b32   %[c7], %[v_sfl_sld] offset:4448 + %[shfl_base]           "
+                         "         \n"
+                         "  s_waitcnt     lgkmcnt(0)                              \n"
+                         "  s_mov_b64     exec, %[s_execflag_0]                    "
+                         "\n" _UK_ATOMIC_ADD_ "   %[v_os_o0], %[c0], s[8:9]  \n"
+                         "  s_mov_b64     exec, %[s_execflag_1]                    "
+                         "\n" _UK_ATOMIC_ADD_ "   %[v_os_o1], %[c1], s[8:9]  \n"
+                         "  s_mov_b64     exec, %[s_execflag_2]                    "
+                         "\n" _UK_ATOMIC_ADD_ "   %[v_os_o2], %[c2], s[8:9]  \n"
+                         "  s_mov_b64     exec, %[s_execflag_3]                    "
+                         "\n" _UK_ATOMIC_ADD_ "   %[v_os_o3], %[c3], s[8:9]  \n"
+                         "  s_mov_b64     exec, %[s_execflag_4]                    "
+                         "\n" _UK_ATOMIC_ADD_ "   %[v_os_o4], %[c4], s[8:9]  \n"
+                         "  s_mov_b64     exec, %[s_execflag_5]                    "
+                         "\n" _UK_ATOMIC_ADD_ "   %[v_os_o5], %[c5], s[8:9]  \n"
+                         "  s_mov_b64     exec, %[s_execflag_6]                    "
+                         "\n" _UK_ATOMIC_ADD_ "   %[v_os_o6], %[c6], s[8:9]  \n"
+                         "  s_mov_b64     exec, %[s_execflag_7]                    "
+                         "\n" _UK_ATOMIC_ADD_ "   %[v_os_o7], %[c7], s[8:9]  \n"
+                         "  s_mov_b64     exec, s[38:39]                           \n"
+                         "  s_sub_i32     %[s_loop_cnt], %[s_loop_cnt], 1     ; k--      \n"
+                         "  s_cmp_gt_i32  %[s_loop_cnt] 0                                \n"
+                         "  s_cbranch_scc0 L_end%=                                       \n"
+                         "  s_cmp_gt_i32  %[s_loop_cnt] 1             ; move b with cond \n"
+                         "  s_cselect_b32 s86, %[s_tile_os_b], 0                          \n"
+                         "  s_add_u32     s12, s86, s12                                  \n"
+                         "  s_addc_u32    s13, 0, s13                                    \n"
+                         "  s_add_u32     s8, %[s_tile_os_o], s8                             \n"
+                         "  s_addc_u32    s9, 0, s9                               \n"
+                         "  s_waitcnt     vmcnt(32)                               \n"
+                         "  s_barrier                                             \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[128:129], v[128:129], 0 \n"
+                         "  buffer_load_dwordx4  acc[0:3], %[v_os_b0], s[12:15], 0 offen "
+                         "\n" _UK_MFMA_ "  [%[c16],%[c17],%[c18],%[c19]], acc[130:131], "
+                         "v[130:131], [%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[132:133], v[132:133], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[134:135], v[134:135], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[136:137], v[136:137], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n"
+                         "  buffer_load_dwordx4  acc[4:7], %[v_os_b0], s[12:15], 0 offen "
+                         "offset:1024 \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[138:139], v[138:139], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[140:141], v[140:141], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[142:143], v[142:143], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[128:129], v[192:193], 0 \n"
+                         "  buffer_load_dwordx4  acc[8:11], %[v_os_b0], s[12:15], 0 offen "
+                         "offset:2048 \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[130:131], v[194:195], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[132:133], v[196:197], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[134:135], v[198:199], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[136:137], v[200:201], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n"
+                         "  buffer_load_dwordx4  acc[12:15], %[v_os_b0], s[12:15], 0 offen "
+                         "offset:3072 \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[138:139], v[202:203], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[140:141], v[204:205], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[142:143], v[206:207], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[144:145], v[128:129], 0 \n"
+                         "  buffer_load_dwordx4  acc[16:19], %[v_os_b1], s[12:15], 0 offen "
+                         "\n" _UK_MFMA_ "  [%[c24],%[c25],%[c26],%[c27]], acc[146:147], "
+                         "v[130:131], [%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[148:149], v[132:133], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[150:151], v[134:135], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[152:153], v[136:137], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n"
+                         "  buffer_load_dwordx4  acc[20:23], %[v_os_b1], s[12:15], 0 offen "
+                         "offset:1024 \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[154:155], v[138:139], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[156:157], v[140:141], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[158:159], v[142:143], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[144:145], v[192:193], 0 \n"
+                         "  buffer_load_dwordx4  acc[24:27], %[v_os_b1], s[12:15], 0 offen "
+                         "offset:2048 \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[146:147], v[194:195], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[148:149], v[196:197], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[150:151], v[198:199], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[152:153], v[200:201], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n"
+                         "  buffer_load_dwordx4  acc[28:31], %[v_os_b1], s[12:15], 0 offen "
+                         "offset:3072 \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[154:155], v[202:203], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[156:157], v[204:205], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[158:159], v[206:207], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n"
+                         "  s_waitcnt     vmcnt(32)                               \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[160:161], v[144:145], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n"
+                         "  buffer_load_dwordx4  acc[32:35], %[v_os_b2], s[12:15], 0 offen "
+                         "\n" _UK_MFMA_ "  [%[c16],%[c17],%[c18],%[c19]], acc[162:163], "
+                         "v[146:147], [%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[164:165], v[148:149], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[166:167], v[150:151], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[168:169], v[152:153], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n"
+                         "  buffer_load_dwordx4  acc[36:39], %[v_os_b2], s[12:15], 0 offen "
+                         "offset:1024 \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[170:171], v[154:155], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[172:173], v[156:157], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[174:175], v[158:159], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[160:161], v[208:209], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n"
+                         "  buffer_load_dwordx4  acc[40:43], %[v_os_b2], s[12:15], 0 offen "
+                         "offset:2048 \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[162:163], v[210:211], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[164:165], v[212:213], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[166:167], v[214:215], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[168:169], v[216:217], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n"
+                         "  buffer_load_dwordx4  acc[44:47], %[v_os_b2], s[12:15], 0 offen "
+                         "offset:3072 \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[170:171], v[218:219], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[172:173], v[220:221], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[174:175], v[222:223], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[176:177], v[144:145], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n"
+                         "  buffer_load_dwordx4  acc[48:51], %[v_os_b3], s[12:15], 0 offen "
+                         "\n" _UK_MFMA_ "  [%[c24],%[c25],%[c26],%[c27]], acc[178:179], "
+                         "v[146:147], [%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[180:181], v[148:149], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[182:183], v[150:151], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[184:185], v[152:153], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n"
+                         "  buffer_load_dwordx4  acc[52:55], %[v_os_b3], s[12:15], 0 offen "
+                         "offset:1024 \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[186:187], v[154:155], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[188:189], v[156:157], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[190:191], v[158:159], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[176:177], v[208:209], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n"
+                         "  buffer_load_dwordx4  acc[56:59], %[v_os_b3], s[12:15], 0 offen "
+                         "offset:2048 \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[178:179], v[210:211], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[180:181], v[212:213], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[182:183], v[214:215], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[184:185], v[216:217], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n"
+                         "  buffer_load_dwordx4  acc[60:63], %[v_os_b3], s[12:15], 0 offen "
+                         "offset:3072 \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[186:187], v[218:219], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[188:189], v[220:221], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[190:191], v[222:223], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n"
+                         "  s_waitcnt     vmcnt(32)                               \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[192:193], v[160:161], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n"
+                         "  buffer_load_dwordx4  acc[64:67], %[v_os_b4], s[12:15], 0 offen "
+                         "\n" _UK_MFMA_ "  [%[c16],%[c17],%[c18],%[c19]], acc[194:195], "
+                         "v[162:163], [%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[196:197], v[164:165], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[198:199], v[166:167], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[200:201], v[168:169], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n"
+                         "  buffer_load_dwordx4  acc[68:71], %[v_os_b4], s[12:15], 0 offen "
+                         "offset:1024 \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[202:203], v[170:171], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[204:205], v[172:173], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[206:207], v[174:175], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[192:193], v[224:225], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n"
+                         "  buffer_load_dwordx4  acc[72:75], %[v_os_b4], s[12:15], 0 offen "
+                         "offset:2048 \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[194:195], v[226:227], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[196:197], v[228:229], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[198:199], v[230:231], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[200:201], v[232:233], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n"
+                         "  buffer_load_dwordx4  acc[76:79], %[v_os_b4], s[12:15], 0 offen "
+                         "offset:3072 \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[202:203], v[234:235], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[204:205], v[236:237], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[206:207], v[238:239], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[208:209], v[160:161], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n"
+                         "  buffer_load_dwordx4  acc[80:83], %[v_os_b5], s[12:15], 0 offen "
+                         "\n" _UK_MFMA_ "  [%[c24],%[c25],%[c26],%[c27]], acc[210:211], "
+                         "v[162:163], [%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[212:213], v[164:165], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[214:215], v[166:167], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[216:217], v[168:169], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n"
+                         "  buffer_load_dwordx4  acc[84:87], %[v_os_b5], s[12:15], 0 offen "
+                         "offset:1024 \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[218:219], v[170:171], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[220:221], v[172:173], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[222:223], v[174:175], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[208:209], v[224:225], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n"
+                         "  buffer_load_dwordx4  acc[88:91], %[v_os_b5], s[12:15], 0 offen "
+                         "offset:2048 \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[210:211], v[226:227], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[212:213], v[228:229], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[214:215], v[230:231], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[216:217], v[232:233], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n"
+                         "  buffer_load_dwordx4  acc[92:95], %[v_os_b5], s[12:15], 0 offen "
+                         "offset:3072 \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[218:219], v[234:235], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[220:221], v[236:237], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[222:223], v[238:239], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n"
+                         "  s_waitcnt     vmcnt(32)                               \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[224:225], v[176:177], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n"
+                         "  buffer_load_dwordx4  acc[96:99], %[v_os_b6], s[12:15], 0 offen "
+                         "\n" _UK_MFMA_ "  [%[c16],%[c17],%[c18],%[c19]], acc[226:227], "
+                         "v[178:179], [%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[228:229], v[180:181], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[230:231], v[182:183], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[232:233], v[184:185], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n"
+                         "  buffer_load_dwordx4  acc[100:103], %[v_os_b6], s[12:15], 0 offen "
+                         "offset:1024 \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[234:235], v[186:187], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[236:237], v[188:189], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c16],%[c17],%[c18],%[c19]], acc[238:239], v[190:191], "
+                         "[%[c16],%[c17],%[c18],%[c19]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[224:225], v[240:241], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n"
+                         "  buffer_load_dwordx4  acc[104:107], %[v_os_b6], s[12:15], 0 offen "
+                         "offset:2048 \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[226:227], v[242:243], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[228:229], v[244:245], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[230:231], v[246:247], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[232:233], v[248:249], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n"
+                         "  buffer_load_dwordx4  acc[108:111], %[v_os_b6], s[12:15], 0 offen "
+                         "offset:3072 \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[234:235], v[250:251], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[236:237], v[252:253], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c20],%[c21],%[c22],%[c23]], acc[238:239], v[254:255], "
+                         "[%[c20],%[c21],%[c22],%[c23]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[240:241], v[176:177], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n"
+                         "  buffer_load_dwordx4  acc[112:115], %[v_os_b7], s[12:15], 0 offen "
+                         "\n" _UK_MFMA_ "  [%[c24],%[c25],%[c26],%[c27]], acc[242:243], "
+                         "v[178:179], [%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[244:245], v[180:181], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[246:247], v[182:183], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[248:249], v[184:185], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n"
+                         "  buffer_load_dwordx4  acc[116:119], %[v_os_b7], s[12:15], 0 offen "
+                         "offset:1024 \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[250:251], v[186:187], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[252:253], v[188:189], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c24],%[c25],%[c26],%[c27]], acc[254:255], v[190:191], "
+                         "[%[c24],%[c25],%[c26],%[c27]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[240:241], v[240:241], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n"
+                         "  buffer_load_dwordx4  acc[120:123], %[v_os_b7], s[12:15], 0 offen "
+                         "offset:2048 \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[242:243], v[242:243], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[244:245], v[244:245], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[246:247], v[246:247], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[248:249], v[248:249], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n"
+                         "  buffer_load_dwordx4  acc[124:127], %[v_os_b7], s[12:15], 0 offen "
+                         "offset:3072 \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[250:251], v[250:251], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[252:253], v[252:253], "
+                         "[%[c28],%[c29],%[c30],%[c31]] \n" _UK_MFMA_
+                         "  [%[c28],%[c29],%[c30],%[c31]], acc[254:255], v[254:255], "
+                         "[%[c28],%[c29],%[c30],%[c31]]\n"
+                         "  v_mul_f32     %[c16], %[scale_0], %[c16]                            \n"
+                         "  v_mul_f32     %[c17], %[scale_0], %[c17]                            \n"
+                         "  v_mul_f32     %[c18], %[scale_0], %[c18]                            \n"
+                         "  v_mul_f32     %[c19], %[scale_0], %[c19]                            \n"
+                         "  v_mul_f32     %[c20], %[scale_1], %[c20]                            \n"
+                         "  v_mul_f32     %[c21], %[scale_1], %[c21]                            \n"
+                         "  v_mul_f32     %[c22], %[scale_1], %[c22]                            \n"
+                         "  v_mul_f32     %[c23], %[scale_1], %[c23]                            \n"
+                         "  v_mul_f32     %[c24], %[scale_0], %[c24]                            \n"
+                         "  v_mul_f32     %[c25], %[scale_0], %[c25]                            \n"
+                         "  v_mul_f32     %[c26], %[scale_0], %[c26]                            \n"
+                         "  v_mul_f32     %[c27], %[scale_0], %[c27]                            \n"
+                         "  v_mul_f32     %[c28], %[scale_1], %[c28]                            \n"
+                         "  v_mul_f32     %[c29], %[scale_1], %[c29]                            \n"
+                         "  v_mul_f32     %[c30], %[scale_1], %[c30]                            \n"
+                         "  v_mul_f32     %[c31], %[scale_1], %[c31]                            \n"
+
+    _UK_PK_CVT_("%[c16]", "%[c17]", "%[c16]") _UK_PK_CVT_("%[c18]", "%[c19]", "%[c17]") _UK_PK_CVT_(
+        "%[c20]", "%[c21]", "%[c18]") _UK_PK_CVT_("%[c22]", "%[c23]", "%[c19]")
+        _UK_PK_CVT_("%[c24]", "%[c25]", "%[c20]") _UK_PK_CVT_(
+            "%[c26]", "%[c27]", "%[c21]") _UK_PK_CVT_("%[c28]",
+                                                      "%[c29]",
+                                                      "%[c22]") _UK_PK_CVT_("%[c30]",
+                                                                            "%[c31]",
+                                                                            "%[c23]")
+
+            "  ;------------------------------  \n"
+            "  ds_write_b64  %[v_sfl_sst], [%[c16],%[c17]] offset:0    + %[shfl_base]         \n"
+            "  ds_write_b64  %[v_sfl_sst], [%[c18],%[c19]] offset:4352 + %[shfl_base]         \n"
+            "  ds_write_b64  %[v_sfl_sst], [%[c20],%[c21]] offset:2176 + %[shfl_base]         \n"
+            "  ds_write_b64  %[v_sfl_sst], [%[c22],%[c23]] offset:6528 + %[shfl_base]         \n"
+            "  s_waitcnt     lgkmcnt(0)                              \n"
+            "  s_barrier                                             \n"
+            "  ds_read_b32   %[c16], %[v_sfl_sld] offset:0    + %[shfl_base]                  \n"
+            "  ds_read_b32   %[c17], %[v_sfl_sld] offset:32   + %[shfl_base]                  \n"
+            "  ds_read_b32   %[c18], %[v_sfl_sld] offset:64   + %[shfl_base]                  \n"
+            "  ds_read_b32   %[c19], %[v_sfl_sld] offset:96   + %[shfl_base]                  \n"
+            "  ds_read_b32   %[c20], %[v_sfl_sld] offset:4352 + %[shfl_base]                  \n"
+            "  ds_read_b32   %[c21], %[v_sfl_sld] offset:4384 + %[shfl_base]                  \n"
+            "  ds_read_b32   %[c22], %[v_sfl_sld] offset:4416 + %[shfl_base]                  \n"
+            "  ds_read_b32   %[c23], %[v_sfl_sld] offset:4448 + %[shfl_base]                  \n"
+            "  s_waitcnt     lgkmcnt(0)                              \n"
+            "  s_mov_b64     exec, %[s_execflag_0]                    \n" _UK_ATOMIC_ADD_
+            "   %[v_os_o0], %[c16], s[8:9]  \n"
+            "  s_mov_b64     exec, %[s_execflag_1]                    \n" _UK_ATOMIC_ADD_
+            "   %[v_os_o1], %[c17], s[8:9]  \n"
+            "  s_mov_b64     exec, %[s_execflag_2]                    \n" _UK_ATOMIC_ADD_
+            "   %[v_os_o2], %[c18], s[8:9]  \n"
+            "  s_mov_b64     exec, %[s_execflag_3]                    \n" _UK_ATOMIC_ADD_
+            "   %[v_os_o3], %[c19], s[8:9]  \n"
+            "  s_mov_b64     exec, %[s_execflag_4]                    \n" _UK_ATOMIC_ADD_
+            "   %[v_os_o4], %[c20], s[8:9]  \n"
+            "  s_mov_b64     exec, %[s_execflag_5]                    \n" _UK_ATOMIC_ADD_
+            "   %[v_os_o5], %[c21], s[8:9]  \n"
+            "  s_mov_b64     exec, %[s_execflag_6]                    \n" _UK_ATOMIC_ADD_
+            "   %[v_os_o6], %[c22], s[8:9]  \n"
+            "  s_mov_b64     exec, %[s_execflag_7]                    \n" _UK_ATOMIC_ADD_
+            "   %[v_os_o7], %[c23], s[8:9]  \n"
+            "  s_mov_b64     exec, s[38:39]                           \n"
+            "  s_sub_i32     %[s_loop_cnt], %[s_loop_cnt], 1     ; k--      \n"
+            "  s_cmp_gt_i32  %[s_loop_cnt] 0                                \n"
+            "  s_cbranch_scc0 L_end%=                                       \n"
+            "  s_cmp_gt_i32  %[s_loop_cnt] 1             ; move b with cond \n"
+            "  s_cselect_b32 s86, %[s_tile_os_b], 0                          \n"
+            "  s_add_u32     s12, s86, s12                                  \n"
+            "  s_addc_u32    s13, 0, s13                                    \n"
+            "  s_add_u32     s8, %[s_tile_os_o], s8                             \n"
+            "  s_addc_u32    s9, 0, s9                               \n"
+            "  s_branch      L_start%=          \n"
+            "L_end%=:                                                \n"
+
+#undef _UK_MFMA_
+#undef _UK_PK_CVT_
+#undef _UK_ATOMIC_ADD_