Ck tile gemm example (#1488)

* Checkpoint: Finished with the tile example & kernel verification, working on the different matrix layout

* Finished the Matrix Layout feature set up. Note: Need to modify the inner block to solve the shuffle problem in the future.

* Fix: Clang Format, API fixed from fmha

* fix with better naming convention

* revert back the pipeline code of fmha

* Fixed: Addressed the comments and merge the GEMM shape of GEMM Operator and FMHA Operator to one.

* clang format with the reference_gemm file

* convert the clang format with the remod.py

* Changed the format and variable name of the kernel gemm_shape and partitioner

---------
Co-authored-by: thomasning <thomasning@banff-cyxtera-s70-4.ctr.dcgpu>

example/ck_tile/03_gemm/CMakeLists.txt

+set(CMAKE_BUILD_TYPE Debug)
+add_executable(tile_example_gemm_basic EXCLUDE_FROM_ALL gemm_basic.cpp)
\ No newline at end of file

example/ck_tile/03_gemm/README.md

+# GEMM Matrix Multiplication
+
+This folder contains example for GEMM using ck_tile tile-programming implementation. Currently, it only supports the basic feature of the CK Tile GEMM, but creates the placeholders for the future support on different GEMM pipeline and different GEMM modules. In the near future, we will gradually migrate all the GEMM features from old CK to CK Tile.
+
+## build
+```
+# in the root of ck_tile
+mkdir build && cd build
+sh ../script/cmake-ck-dev.sh  ../ <arch>  # you can replace this <arch> to gfx90a, gfx942...
+make tile_example_gemm_basic -j
+```
+This will result in an executable `build/bin/tile_example_gemm_basic`
+
+## example
+```
+args:
+          -m    m dimension (default:3328)
+          -n    m dimension (default:4096)
+          -k    k dimension (default:64)
+          -e    epsilon (default:1e-5)
+          -v    cpu validation or not (default:1)
+       -prec    precision (default:fp16)
+```

example/ck_tile/03_gemm/gemm_basic.cpp

+
+// SPDX-License-Identifier: MIT
+// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#include "gemm_basic.hpp"
+#include "ck_tile/host.hpp"
+
+#include <cstring>
+#include <iostream>
+#include <ostream>
+#include <string>
+#include <tuple>
+
+auto create_args(int argc, char* argv[])
+{
+    ck_tile::ArgParser arg_parser;
+    arg_parser.insert("b", "1", "batch size")
+        .insert("m", "1024", "m dimension")
+        .insert("n", "2048", "n dimension")
+        .insert("k", "64", "k dimension")
+        .insert("stride_a", "0", "Tensor A stride")
+        .insert("stride_b", "0", "Tensor B stride")
+        .insert("stride_c", "0", "Tensor C stride")
+        .insert("v", "1", "cpu validation or not")
+        .insert("e", "1e-5", "Absolute error tolerance")
+        .insert("prec", "fp16", "data type. fp16/bf16/fp8/bf8")
+        .insert("warmup", "10", "number of iterations before benchmark the kernel")
+        .insert("repeat", "100", "number of iterations to benchmark the kernel")
+        .insert("timer", "gpu", "gpu:gpu timer, cpu:cpu timer");
+
+    bool result = arg_parser.parse(argc, argv);
+    return std::make_tuple(result, arg_parser);
+}
+
+template <typename LayoutA, typename LayoutB, typename LayoutC>
+float gemm_calc(const gemm_basic_args& args, const ck_tile::stream_config& s)
+{
+    // ToDo: This will be modified by the codegen code later.
+    constexpr ck_tile::index_t M_Tile = 128;
+    constexpr ck_tile::index_t N_Tile = 128;
+    constexpr ck_tile::index_t K_Tile = 32;
+
+    constexpr ck_tile::index_t M_Warp = 2;
+    constexpr ck_tile::index_t N_Warp = 2;
+    constexpr ck_tile::index_t K_Warp = 1;
+
+    constexpr ck_tile::index_t M_Warp_Tile = 32;
+    constexpr ck_tile::index_t N_Warp_Tile = 32;
+    constexpr ck_tile::index_t K_Warp_Tile = 8;
+
+    // The kPadA, kPadB, kPadC & kBlockPerCu should also come from the Codegen part.
+    constexpr bool kPadA = true;
+    constexpr bool kPadB = true;
+    constexpr bool kPadC = false;
+
+    constexpr int kBlockPerCu = 1;
+
+    // ===============================================
+
+    using GemmShape =
+        ck_tile::TileGemmShape<ck_tile::sequence<M_Tile, N_Tile, K_Tile>,
+                               ck_tile::sequence<M_Warp, N_Warp, K_Warp>,
+                               ck_tile::sequence<M_Warp_Tile, N_Warp_Tile, K_Warp_Tile>>;
+    using TilePartitioner = ck_tile::GemmTilePartitioner<GemmShape>;
+    using PipelineProblem = ck_tile::
+        BlockGemmPipelineProblem<ADataType, BDataType, AccDataType, GemmShape, kPadA, kPadB, kPadC>;
+    // The GemmPipeline should also come from the Codegen.
+    using GemmPipeline = ck_tile::BlockGemmPipelineAGmemBGmemCRegV1<PipelineProblem>;
+    using GemmEpilogue = ck_tile::Default2DEpilogue<
+        ck_tile::Default2DEpilogueProblem<AccDataType, CDataType, kPadA, kPadB>>;
+    // ToDo: Will add the codegen part to test different pipeline policies in GEMM.
+    // Now we only use the BlockGemmASmemBSmemCRegV1DefaultPolicy.
+    using Kernel =
+        ck_tile::GemmKernel<TilePartitioner, GemmPipeline, GemmEpilogue, LayoutA, LayoutB, LayoutC>;
+
+    auto kargs = Kernel::MakeKargs(args.p_a,
+                                   args.p_b,
+                                   args.p_c,
+                                   args.epsilon,
+                                   args.M,
+                                   args.N,
+                                   args.K,
+                                   args.stride_A,
+                                   args.stride_B,
+                                   args.stride_C);
+
+    const dim3 grids      = Kernel::GridSize(args.M, args.N, args.kbatch);
+    constexpr dim3 blocks = Kernel::BlockSize();
+
+    float ave_time = ck_tile::launch_kernel(
+        s, ck_tile::make_kernel<blocks.x, kBlockPerCu>(Kernel{}, grids, blocks, 0, kargs));
+
+    return ave_time;
+}
+
+template <typename DataType, typename LayoutA, typename LayoutB, typename LayoutC>
+float invoke_gemm(ck_tile::DeviceMem& a_buf,
+                  ck_tile::DeviceMem& b_buf,
+                  ck_tile::DeviceMem& c_buf,
+                  const ck_tile::ArgParser& arg_parser)
+{
+
+    std::string data_type = arg_parser.get_str("prec");
+
+    if(data_type != DataTypeTraits<DataType>::name)
+    {
+        std::cerr << "Data type mismatch: expected " << DataTypeTraits<DataType>::name << ", got "
+                  << data_type << std::endl;
+        return -1; // Or handle the error appropriately
+    }
+
+    float epsilon               = arg_parser.get_float("e");
+    ck_tile::index_t batch_size = arg_parser.get_int("b");
+    ck_tile::index_t M          = arg_parser.get_int("m");
+    ck_tile::index_t N          = arg_parser.get_int("n");
+    ck_tile::index_t K          = arg_parser.get_int("k");
+
+    ck_tile::index_t stride_a = arg_parser.get_int("stride_a");
+    ck_tile::index_t stride_b = arg_parser.get_int("stride_b");
+    ck_tile::index_t stride_c = arg_parser.get_int("stride_c");
+
+    gemm_basic_args args;
+    args.p_a     = a_buf.GetDeviceBuffer();
+    args.p_b     = b_buf.GetDeviceBuffer();
+    args.p_c     = c_buf.GetDeviceBuffer();
+    args.epsilon = epsilon;
+    args.kbatch  = batch_size;
+    args.M       = M;
+    args.N       = N;
+    args.K       = K;
+
+    // Only set stride_M and stride_N if they are non-zero and not equal to K.
+    if(stride_a != 0)
+    {
+        args.stride_A = stride_a;
+    }
+    else
+    {
+        args.stride_A = [&]() {
+            if constexpr(std::is_same_v<LayoutA, ck_tile::tensor_layout::gemm::ColumnMajor>)
+            {
+                return M;
+            }
+            else
+            {
+                return K;
+            }
+        }();
+    }
+
+    if(stride_b != 0)
+    {
+        args.stride_B = stride_b;
+    }
+    else
+    {
+        args.stride_B = [&]() {
+            if constexpr(std::is_same_v<LayoutB, ck_tile::tensor_layout::gemm::ColumnMajor>)
+            {
+                return N;
+            }
+            else
+            {
+                return K;
+            }
+        }();
+    }
+
+    if(stride_c != 0)
+    {
+        args.stride_C = stride_c;
+    }
+    else
+    {
+        args.stride_C = [&]() {
+            if constexpr(std::is_same_v<LayoutC, ck_tile::tensor_layout::gemm::ColumnMajor>)
+            {
+                return M;
+            }
+            else
+            {
+                return N;
+            }
+        }();
+    }
+
+    float ave_time =
+        gemm_calc<LayoutA, LayoutB, LayoutC>(args, ck_tile::stream_config{nullptr, true});
+    std::size_t num_byte =
+        sizeof(ADataType) * M * K + sizeof(BDataType) * N * K + sizeof(CDataType) * M * N;
+    float gb_per_sec = num_byte / 1.E6 / ave_time;
+
+    std::cout << "The overall perfomance of the GEMM with "
+              << "[" << data_type << "]"
+              << "batch size: " << batch_size << ". m:" << M << ",n:" << N << ", k:" << K
+              << "is: \n";
+    std::cout << "Running time :" << ave_time << "ms, Throughput" << gb_per_sec << "GB/s \n"
+              << std::flush;
+
+    return ave_time;
+}
+
+int main(int argc, char* argv[])
+{
+    auto [result, arg_parser] = create_args(argc, argv);
+    if(!result)
+        return -1;
+
+    ck_tile::index_t M = arg_parser.get_int("m");
+    ck_tile::index_t N = arg_parser.get_int("n");
+    ck_tile::index_t K = arg_parser.get_int("k");
+
+    // The Matrix Multiplication goes with Matrix A (M, K), Matrix B (N, K) = Matrix C (M, N).
+    using matrix_a_layout = ck_tile::tensor_layout::gemm::RowMajor;
+    using matrix_b_layout = ck_tile::tensor_layout::gemm::RowMajor;
+    using matrix_c_layout = ck_tile::tensor_layout::gemm::RowMajor;
+
+    // host verify
+    std::vector<int> a_dimensions =
+        (std::is_same_v<matrix_a_layout, ck_tile::tensor_layout::gemm::RowMajor>)
+            ? std::vector<int>{M, K}
+            : std::vector<int>{K, M};
+    std::vector<int> b_dimensions =
+        (std::is_same_v<matrix_b_layout, ck_tile::tensor_layout::gemm::RowMajor>)
+            ? std::vector<int>{N, K}
+            : std::vector<int>{K, N};
+    std::vector<int> c_dimensions =
+        (std::is_same_v<matrix_c_layout, ck_tile::tensor_layout::gemm::RowMajor>)
+            ? std::vector<int>{M, N}
+            : std::vector<int>{N, M};
+
+    ck_tile::HostTensor<ADataType> a_host(a_dimensions);
+    ck_tile::HostTensor<BDataType> b_host(b_dimensions);
+
+    ck_tile::HostTensor<CDataType> c_host_ref(c_dimensions);
+    ck_tile::HostTensor<CDataType> c_host_dev(c_dimensions);
+
+    ck_tile::FillUniformDistribution<ADataType>{-5.f, 5.f}(a_host);
+    ck_tile::FillUniformDistribution<BDataType>{-5.f, 5.f}(b_host);
+
+    ck_tile::DeviceMem a_buf(a_host.get_element_space_size_in_bytes());
+    ck_tile::DeviceMem b_buf(b_host.get_element_space_size_in_bytes());
+    ck_tile::DeviceMem c_buf(c_host_dev.get_element_space_size_in_bytes());
+
+    a_buf.ToDevice(a_host.data());
+    b_buf.ToDevice(b_host.data());
+
+    invoke_gemm<ck_tile::half_t, matrix_a_layout, matrix_b_layout, matrix_c_layout>(
+        a_buf, b_buf, c_buf, arg_parser);
+
+    bool pass = true;
+
+    if(arg_parser.get_bool("v"))
+    {
+        // ToDo: Will Add the Element Op (bias) verification in the future.
+        ck_tile::reference_gemm<ADataType,
+                                BDataType,
+                                AccDataType,
+                                CDataType,
+                                matrix_a_layout,
+                                matrix_b_layout,
+                                matrix_c_layout>(a_host, b_host, c_host_ref);
+
+        c_buf.FromDevice(c_host_dev.data());
+
+        pass = ck_tile::check_err(c_host_dev, c_host_ref);
+
+        std::cout << "The veification result is:" << (pass ? "correct" : "fail") << std::flush;
+    }
+
+    std::cout << std::endl << std::flush;
+
+    return !pass;
+}

example/ck_tile/03_gemm/gemm_basic.hpp

+
+// SPDX-License-Identifier: MIT
+// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core.hpp"
+#include "ck_tile/host/kernel_launch.hpp"
+#include "ck_tile/ops/epilogue.hpp"
+#include "ck_tile/ops/gemm.hpp"
+#include <string>
+
+template <typename DataType>
+struct GemmBasicTypeConfig;
+
+template <>
+struct GemmBasicTypeConfig<ck_tile::half_t>
+{
+    using ADataType   = ck_tile::half_t;
+    using BDataType   = ck_tile::half_t;
+    using AccDataType = float;
+    using CDataType   = ck_tile::half_t; // type convert
+    // ToDo: Add more bias config to support different categories of GEMM.
+};
+
+template <typename T>
+struct DataTypeTraits;
+
+template <>
+struct DataTypeTraits<float>
+{
+    static constexpr const char* name = "fp32";
+};
+
+template <>
+struct DataTypeTraits<double>
+{
+    static constexpr const char* name = "fp64";
+};
+
+template <>
+struct DataTypeTraits<ck_tile::half_t>
+{
+    static constexpr const char* name = "fp16";
+};
+
+using Types = GemmBasicTypeConfig<ck_tile::half_t>;
+
+// Specific type aliases for easy access
+using ADataType   = Types::ADataType;
+using BDataType   = Types::BDataType;
+using AccDataType = Types::AccDataType;
+using CDataType   = Types::CDataType;
+
+struct gemm_basic_args
+{
+    const void* p_a;
+    const void* p_b;
+    void* p_c;
+    float epsilon;
+    ck_tile::index_t kbatch;
+    ck_tile::index_t M;
+    ck_tile::index_t N;
+    ck_tile::index_t K;
+    ck_tile::index_t stride_A;
+    ck_tile::index_t stride_B;
+    ck_tile::index_t stride_C;
+};
+
+// host API
+float gemm_calc(gemm_basic_args args, const ck_tile::stream_config& s);

example/ck_tile/CMakeLists.txt

@@ -4,3 +4,4 @@ include_directories(AFTER
 
 add_subdirectory(01_fmha)
 add_subdirectory(02_layernorm2d)
+add_subdirectory(03_gemm)

include/ck_tile/host/reference/reference_gemm.hpp

@@ -13,6 +13,9 @@ template <typename ADataType,
           typename BDataType,
           typename AccDataType,
           typename CDataType,
+          typename LayoutA,
+          typename LayoutB,
+          typename LayoutC,
           typename AElementOp   = ck_tile::identity,
           typename BElementOp   = ck_tile::identity,
           typename ACCElementOp = ck_tile::identity>
@@ -24,7 +27,12 @@ CK_TILE_HOST void reference_gemm(const HostTensor<ADataType>& a_m_k,
                                  const ACCElementOp& acc_element_op = {})
 {
     const int N = b_n_k.mDesc.get_lengths()[0];
-    const int K = b_n_k.mDesc.get_lengths()[1];
+    const int K = (std::is_same_v<LayoutA, tensor_layout::gemm::RowMajor>)
+                      ? a_m_k.mDesc.get_lengths()[1]
+                      : a_m_k.mDesc.get_lengths()[0];
+    const int M = (std::is_same_v<LayoutA, tensor_layout::gemm::RowMajor>)
+                      ? a_m_k.mDesc.get_lengths()[0]
+                      : a_m_k.mDesc.get_lengths()[1];
 
     auto f = [&](auto m) {
         for(int n = 0; n < N; ++n)
@@ -33,7 +41,9 @@ CK_TILE_HOST void reference_gemm(const HostTensor<ADataType>& a_m_k,
 
             for(int k = 0; k < K; ++k)
             {
-                ADataType v_a = a_element_op(a_m_k(m, k));
+                ADataType v_a = (std::is_same_v<LayoutA, tensor_layout::gemm::RowMajor>)
+                                    ? a_element_op(a_m_k(m, k))
+                                    : a_element_op(a_m_k(k, m));
                 BDataType v_b = b_element_op(b_n_k(n, k));
 
                 v_acc += ck_tile::type_convert<AccDataType>(v_a) *
@@ -44,7 +54,6 @@ CK_TILE_HOST void reference_gemm(const HostTensor<ADataType>& a_m_k,
         }
     };
 
-    make_ParallelTensorFunctor(f,
-                               c_m_n.mDesc.get_lengths()[0])(std::thread::hardware_concurrency());
+    make_ParallelTensorFunctor(f, M)(std::thread::hardware_concurrency());
 }
 } // namespace ck_tile

include/ck_tile/ops/fmha/pipeline/block_fmha_bwd_pipeline_default_policy.hpp

@@ -25,14 +25,15 @@ struct BlockFmhaBwdPipelineDefaultPolicy
     template <typename Problem>
     CK_TILE_HOST_DEVICE static constexpr auto GetQKBlockGemm()
     {
-        using BlockGemmProblem =
-            BlockGemmPipelineProblem<typename Problem::QDataType,
-                                     typename Problem::KDataType,
-                                     typename Problem::AccDataType,
-                                     Problem::kBlockSize,
-                                     TileGemmShape<Problem::BlockFmhaShape::kM0,
-                                                   Problem::BlockFmhaShape::kN0,
-                                                   Problem::BlockFmhaShape::kK0>>;
+        using BlockGemmProblem = BlockGemmPipelineProblem<
+            typename Problem::QDataType,
+            typename Problem::KDataType,
+            typename Problem::AccDataType,
+            TileGemmShape<sequence<Problem::BlockFmhaShape::BlockTile::kM0,
+                                   Problem::BlockFmhaShape::BlockTile::kN0,
+                                   Problem::BlockFmhaShape::BlockTile::kK0>,
+                          typename Problem::BlockFmhaShape::Gemm0BlockWarps,
+                          typename Problem::BlockFmhaShape::Gemm0WarpTile>>;
 
         using WarpGemm = WarpGemmMfmaDispatcher<
             typename Problem::QDataType,
@@ -57,14 +58,15 @@ struct BlockFmhaBwdPipelineDefaultPolicy
     template <typename Problem>
     CK_TILE_HOST_DEVICE static constexpr auto GetPTOGradTBlockGemm()
     {
-        using BlockGemmProblem =
-            BlockGemmPipelineProblem<typename Problem::GemmDataType,
-                                     typename Problem::OGradDataType,
-                                     typename Problem::AccDataType,
-                                     Problem::kBlockSize,
-                                     TileGemmShape<Problem::BlockFmhaShape::kN0,
-                                                   Problem::BlockFmhaShape::kVHeaddim,
-                                                   Problem::BlockFmhaShape::kK1>>;
+        using BlockGemmProblem = BlockGemmPipelineProblem<
+            typename Problem::GemmDataType,
+            typename Problem::OGradDataType,
+            typename Problem::AccDataType,
+            TileGemmShape<sequence<Problem::BlockFmhaShape::BlockTile::kN0,
+                                   Problem::BlockFmhaShape::BlockTile::kVHeaddim,
+                                   Problem::BlockFmhaShape::BlockTile::kK1>,
+                          typename Problem::BlockFmhaShape::Gemm1BlockWarps,
+                          typename Problem::BlockFmhaShape::Gemm1WarpTile>>;
 
         using WarpGemm =
             WarpGemmMfmaDispatcher<typename Problem::GemmDataType,
@@ -88,14 +90,15 @@ struct BlockFmhaBwdPipelineDefaultPolicy
     template <typename Problem>
     CK_TILE_HOST_DEVICE static constexpr auto GetOGradVBlockGemm()
     {
-        using BlockGemmProblem =
-            BlockGemmPipelineProblem<typename Problem::OGradDataType,
-                                     typename Problem::VDataType,
-                                     typename Problem::AccDataType,
-                                     Problem::kBlockSize,
-                                     TileGemmShape<Problem::BlockFmhaShape::kM0,
-                                                   Problem::BlockFmhaShape::kN0,
-                                                   Problem::BlockFmhaShape::kK2>>;
+        using BlockGemmProblem = BlockGemmPipelineProblem<
+            typename Problem::OGradDataType,
+            typename Problem::VDataType,
+            typename Problem::AccDataType,
+            TileGemmShape<sequence<Problem::BlockFmhaShape::BlockTile::kM0,
+                                   Problem::BlockFmhaShape::BlockTile::kN0,
+                                   Problem::BlockFmhaShape::BlockTile::kK2>,
+                          typename Problem::BlockFmhaShape::Gemm2BlockWarps,
+                          typename Problem::BlockFmhaShape::Gemm2WarpTile>>;
 
         using WarpGemm = WarpGemmMfmaDispatcher<
             typename Problem::OGradDataType,
@@ -120,14 +123,15 @@ struct BlockFmhaBwdPipelineDefaultPolicy
     template <typename Problem>
     CK_TILE_HOST_DEVICE static constexpr auto GetSGradTQTBlockGemm()
     {
-        using BlockGemmProblem =
-            BlockGemmPipelineProblem<typename Problem::GemmDataType,
-                                     typename Problem::QDataType,
-                                     typename Problem::AccDataType,
-                                     Problem::kBlockSize,
-                                     TileGemmShape<Problem::BlockFmhaShape::kN0,
-                                                   Problem::BlockFmhaShape::kQKHeaddim,
-                                                   Problem::BlockFmhaShape::kK3>>;
+        using BlockGemmProblem = BlockGemmPipelineProblem<
+            typename Problem::GemmDataType,
+            typename Problem::QDataType,
+            typename Problem::AccDataType,
+            TileGemmShape<sequence<Problem::BlockFmhaShape::BlockTile::kN0,
+                                   Problem::BlockFmhaShape::BlockTile::kQKHeaddim,
+                                   Problem::BlockFmhaShape::BlockTile::kK3>,
+                          typename Problem::BlockFmhaShape::Gemm3BlockWarps,
+                          typename Problem::BlockFmhaShape::Gemm3WarpTile>>;
 
         using WarpGemm =
             WarpGemmMfmaDispatcher<typename Problem::GemmDataType,
@@ -151,14 +155,15 @@ struct BlockFmhaBwdPipelineDefaultPolicy
     template <typename Problem>
     CK_TILE_HOST_DEVICE static constexpr auto GetSGradKTBlockGemm()
     {
-        using BlockGemmProblem =
-            BlockGemmPipelineProblem<typename Problem::GemmDataType,
-                                     typename Problem::KDataType,
-                                     typename Problem::AccDataType,
-                                     Problem::kBlockSize,
-                                     TileGemmShape<Problem::BlockFmhaShape::kM0,
-                                                   Problem::BlockFmhaShape::kQKHeaddim,
-                                                   Problem::BlockFmhaShape::kK4>>;
+        using BlockGemmProblem = BlockGemmPipelineProblem<
+            typename Problem::GemmDataType,
+            typename Problem::KDataType,
+            typename Problem::AccDataType,
+            TileGemmShape<sequence<Problem::BlockFmhaShape::BlockTile::kM0,
+                                   Problem::BlockFmhaShape::BlockTile::kQKHeaddim,
+                                   Problem::BlockFmhaShape::BlockTile::kK4>,
+                          typename Problem::BlockFmhaShape::Gemm4BlockWarps,
+                          typename Problem::BlockFmhaShape::Gemm4WarpTile>>;
 
         using WarpGemm =
             WarpGemmMfmaDispatcher<typename Problem::GemmDataType,

include/ck_tile/ops/fmha/pipeline/block_fmha_pipeline_qx_ks_vs_custom_policy.hpp

@@ -75,14 +75,15 @@ struct BlockFmhaPipelineQXCustomPolicy</* QLoadOnce = */ true>
     template <typename Problem>
     CK_TILE_HOST_DEVICE static constexpr auto GetQKBlockGemm()
     {
-        using BlockGemmProblem =
-            BlockGemmPipelineProblem<typename Problem::QDataType,
-                                     typename Problem::KDataType,
-                                     typename Problem::SaccDataType,
-                                     Problem::kBlockSize,
-                                     TileGemmShape<Problem::BlockFmhaShape::kM0,
-                                                   Problem::BlockFmhaShape::kN0,
-                                                   Problem::BlockFmhaShape::kK0>>;
+        using BlockGemmProblem = BlockGemmPipelineProblem<
+            typename Problem::QDataType,
+            typename Problem::KDataType,
+            typename Problem::SaccDataType,
+            TileGemmShape<sequence<Problem::BlockFmhaShape::kM0,
+                                   Problem::BlockFmhaShape::kN0,
+                                   Problem::BlockFmhaShape::kK0>,
+                          typename Problem::BlockFmhaShape::Gemm0BlockWarps,
+                          typename Problem::BlockFmhaShape::Gemm0WarpTile>>;
 
         constexpr auto warp_gemm = []() {
             if constexpr(std::is_same_v<typename Problem::QDataType, half_t> &&
@@ -198,14 +199,15 @@ struct BlockFmhaPipelineQXCustomPolicy</* QLoadOnce = */ false>
     template <typename Problem>
     CK_TILE_HOST_DEVICE static constexpr auto GetQKBlockGemm()
     {
-        using BlockGemmProblem =
-            BlockGemmPipelineProblem<typename Problem::QDataType,
-                                     typename Problem::KDataType,
-                                     typename Problem::SaccDataType,
-                                     Problem::kBlockSize,
-                                     TileGemmShape<Problem::BlockFmhaShape::kM0,
-                                                   Problem::BlockFmhaShape::kN0,
-                                                   Problem::BlockFmhaShape::kK0>>;
+        using BlockGemmProblem = BlockGemmPipelineProblem<
+            typename Problem::QDataType,
+            typename Problem::KDataType,
+            typename Problem::SaccDataType,
+            TileGemmShape<sequence<Problem::BlockFmhaShape::kM0,
+                                   Problem::BlockFmhaShape::kN0,
+                                   Problem::BlockFmhaShape::kK0>,
+                          typename Problem::BlockFmhaShape::Gemm0BlockWarps,
+                          typename Problem::BlockFmhaShape::Gemm0WarpTile>>;
 
         constexpr auto warp_gemm = []() {
             if constexpr(std::is_same_v<typename Problem::QDataType, half_t> &&
@@ -952,14 +954,15 @@ struct BlockFmhaPipelineQXKSVSCustomPolicy : BlockFmhaPipelineQXCustomPolicy<QLo
     template <typename Problem>
     CK_TILE_HOST_DEVICE static constexpr auto GetKVBlockGemm()
     {
-        using BlockGemmProblem =
-            BlockGemmPipelineProblem<typename Problem::PDataType,
-                                     typename Problem::VDataType,
-                                     typename Problem::OaccDataType,
-                                     Problem::kBlockSize,
-                                     TileGemmShape<Problem::BlockFmhaShape::kM0,
-                                                   Problem::BlockFmhaShape::kN1,
-                                                   Problem::BlockFmhaShape::kK1>>;
+        using BlockGemmProblem = BlockGemmPipelineProblem<
+            typename Problem::PDataType,
+            typename Problem::VDataType,
+            typename Problem::OaccDataType,
+            TileGemmShape<sequence<Problem::BlockFmhaShape::kM0,
+                                   Problem::BlockFmhaShape::kN1,
+                                   Problem::BlockFmhaShape::kK1>,
+                          typename Problem::BlockFmhaShape::Gemm1BlockWarps,
+                          typename Problem::BlockFmhaShape::Gemm1WarpTile>>;
 
         auto warp_gemm = [&]() {
             if constexpr(std::is_same_v<typename Problem::KDataType, fp8_t> &&

include/ck_tile/ops/gemm.hpp

@@ -21,6 +21,8 @@
 #include "ck_tile/ops/gemm/block/block_gemm_asmem_bsmem_creg_v1_custom_policy.hpp"
 #include "ck_tile/ops/gemm/block/block_gemm_asmem_bsmem_creg_v1_default_policy.hpp"
 #include "ck_tile/ops/gemm/block/block_gemm_problem.hpp"
+#include "ck_tile/ops/gemm/kernel/gemm_kernel.hpp"
+#include "ck_tile/ops/gemm/kernel/gemm_tile_partitioner.hpp"
 #include "ck_tile/ops/gemm/pipeline/block_gemm_pipeline_agmem_bgmem_creg_v1.hpp"
 #include "ck_tile/ops/gemm/pipeline/block_gemm_pipeline_agmem_bgmem_creg_v1_default_policy.hpp"
 #include "ck_tile/ops/gemm/pipeline/block_gemm_pipeline_agmem_bgmem_creg_v2.hpp"

include/ck_tile/ops/gemm/block/block_gemm_areg_bgmem_creg_v1.hpp

@@ -4,7 +4,8 @@
 #pragma once
 
 #include "ck_tile/core.hpp"
-#include "ck_tile/ops/gemm/block/block_gemm_areg_bsmem_creg_v1_default_policy.hpp"
+#include "ck_tile/ops/gemm/block/block_gemm_areg_bgmem_creg_v1_default_policy.hpp"
+#include "ck_tile/ops/gemm/block/block_gemm_problem.hpp"
 
 namespace ck_tile {
 
@@ -27,9 +28,9 @@ struct BlockGemmARegBGmemCRegV1
     static constexpr index_t kBlockSize = Problem::kBlockSize;
 
     // use BlockGemmARegBSmemCRegV1 as the underlying block-GEMM implementation
-    using BlockGemmARegBSmemCRegImpl = BlockGemmARegBSmemCRegV1<
+    using BlockGemmARegBGmemCRegImpl = BlockGemmARegBGmemCRegV1<
         BlockGemmProblem<ADataType, BDataType, CDataType, kBlockSize, BlockGemmShape>,
-        BlockGemmARegBSmemCRegV1DefaultPolicy>;
+        BlockGemmARegBGmemCRegV1DefaultPolicy>;
 
     CK_TILE_HOST_DEVICE static constexpr ck_tile::index_t GetStaticLdsSize()
     {
@@ -82,7 +83,7 @@ struct BlockGemmARegBGmemCRegV1
         block_sync_lds();
 
         // block GEMM
-        BlockGemmARegBSmemCRegImpl{}(c_block_tensor, a_block_tensor, b_block_smem_window);
+        BlockGemmARegBGmemCRegImpl{}(c_block_tensor, a_block_tensor, b_block_smem_window);
     }
 
     // C = A * B
@@ -128,7 +129,7 @@ struct BlockGemmARegBGmemCRegV1
         block_sync_lds();
 
         // block GEMM
-        return BlockGemmARegBSmemCRegImpl{}(a_block_tensor, b_block_smem_window);
+        return BlockGemmARegBGmemCRegImpl{}(a_block_tensor, b_block_smem_window);
     }
 };
 

include/ck_tile/ops/gemm/block/block_gemm_asmem_bsmem_creg_v1_default_policy.hpp

@@ -49,6 +49,10 @@ struct BlockGemmASmemBSmemCRegV1DefaultPolicy
         {
             return make_tuple(WarpGemmMfmaBf16Bf16F32M32N32K16TransposedCDistribution{}, 4, 1);
         }
+        else
+        {
+            static_assert(false, "Unsupported data type configuration for GEMM warp execution.");
+        }
     }
 };
 

include/ck_tile/ops/gemm/kernel/gemm_kernel.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/common.hpp"
+#include <iostream>
+
+#include <string>
+
+namespace ck_tile {
+
+template <typename TilePartitioner_,
+          typename GemmPipeline_,
+          typename EpiloguePipeline_,
+          typename LayoutA_,
+          typename LayoutB_,
+          typename LayoutC_>
+struct GemmKernel
+{
+    using TilePartitioner                    = remove_cvref_t<TilePartitioner_>;
+    using GemmPipeline                       = remove_cvref_t<GemmPipeline_>;
+    using EpiloguePipeline                   = remove_cvref_t<EpiloguePipeline_>;
+    using LayoutA                            = remove_cvref_t<LayoutA_>;
+    using LayoutB                            = remove_cvref_t<LayoutB_>;
+    using LayoutC                            = remove_cvref_t<LayoutC_>;
+    static constexpr index_t KernelBlockSize = GemmPipeline::KernelBlockSize;
+
+    using ADataType    = remove_cvref_t<typename GemmPipeline::ADataType>;
+    using BDataType    = remove_cvref_t<typename GemmPipeline::BDataType>;
+    using CAccDataType = remove_cvref_t<typename GemmPipeline::CDataType>;
+    using CODataType   = remove_cvref_t<typename EpiloguePipeline::ODataType>;
+
+    __host__ static constexpr auto GridSize(index_t M_size, index_t N_size, index_t Batch_size)
+    {
+        return TilePartitioner::GridSize(M_size, N_size, Batch_size);
+    }
+
+    __host__ static constexpr auto BlockSize() { return dim3(KernelBlockSize); }
+
+    struct GemmCommonKargs
+    {
+        const void* a_ptr;
+        const void* b_ptr;
+        void* c_ptr;
+
+        float epsilon;
+
+        ck_tile::index_t M;
+        ck_tile::index_t N;
+        ck_tile::index_t K;
+        ck_tile::index_t stride_A;
+        ck_tile::index_t stride_B;
+        ck_tile::index_t stride_C;
+    };
+
+    CK_TILE_HOST static constexpr GemmCommonKargs MakeKargs(const void* a_ptr,
+                                                            const void* b_ptr,
+                                                            void* c_ptr,
+                                                            float epsilon,
+                                                            ck_tile::index_t M,
+                                                            ck_tile::index_t N,
+                                                            ck_tile::index_t K,
+                                                            ck_tile::index_t stride_A,
+                                                            ck_tile::index_t stride_B,
+                                                            ck_tile::index_t stride_C)
+    {
+        return GemmCommonKargs{a_ptr, b_ptr, c_ptr, epsilon, M, N, K, stride_A, stride_B, stride_C};
+    }
+
+    CK_TILE_HOST_DEVICE static constexpr ck_tile::index_t GetSmemSize()
+    {
+        return ck_tile::max(GemmPipeline::GetSmemSize(), EpiloguePipeline::GetSmemSize());
+    }
+
+    CK_TILE_DEVICE void operator()(GemmCommonKargs kargs) const
+    {
+        const index_t i_m = TilePartitioner::iM;
+        const index_t i_n = TilePartitioner::iN;
+        // options
+        const ADataType* a_start = static_cast<const ADataType*>(kargs.a_ptr);
+        const BDataType* b_start = static_cast<const BDataType*>(kargs.b_ptr);
+        // Convert pointers to tensor views
+        auto a_tensor_view = [&]() {
+            if constexpr(std::is_same_v<LayoutA, tensor_layout::gemm::ColumnMajor>)
+            {
+                return make_naive_tensor_view<address_space_enum::global>(
+                    a_start,
+                    make_tuple(kargs.M, kargs.K),
+                    make_tuple(1, kargs.stride_A),
+                    number<GemmPipeline::AlignmentA>{},
+                    number<1>{});
+            }
+            else
+            {
+                return make_naive_tensor_view<address_space_enum::global>(
+                    a_start,
+                    make_tuple(kargs.M, kargs.K),
+                    make_tuple(kargs.stride_A, 1),
+                    number<GemmPipeline::AlignmentA>{},
+                    number<1>{});
+            }
+        }();
+
+        auto b_tensor_view = [&]() {
+            if constexpr(std::is_same_v<LayoutB, tensor_layout::gemm::ColumnMajor>)
+            {
+                return make_naive_tensor_view<address_space_enum::global>(
+                    b_start,
+                    make_tuple(kargs.N, kargs.K),
+                    make_tuple(1, kargs.stride_B),
+                    number<GemmPipeline::AlignmentB>{},
+                    number<1>{});
+            }
+            else
+            { // Default NK layout
+                return make_naive_tensor_view<address_space_enum::global>(
+                    b_start,
+                    make_tuple(kargs.N, kargs.K),
+                    make_tuple(kargs.stride_B, 1),
+                    number<GemmPipeline::AlignmentB>{},
+                    number<1>{});
+            }
+        }();
+
+        auto ABlockWindow = make_tile_window(
+            a_tensor_view,
+            make_tuple(number<TilePartitioner::kM>{}, number<TilePartitioner::kK>{}),
+            {i_m, 0});
+
+        auto BBlockWindow = make_tile_window(
+            b_tensor_view,
+            make_tuple(number<TilePartitioner::kN>{}, number<TilePartitioner::kK>{}),
+            {i_n, 0});
+
+        // allocate LDS
+        __shared__ char smem_ptr[GetSmemSize()];
+
+        const index_t num_loop = (kargs.K + TilePartitioner::kK - 1) / TilePartitioner::kK;
+
+        auto acc = GemmPipeline{}(ABlockWindow, BBlockWindow, num_loop, smem_ptr);
+
+        CODataType* c_start = static_cast<CODataType*>(kargs.c_ptr);
+
+        auto c_tensor_view = [&]() {
+            if constexpr(std::is_same_v<LayoutC, tensor_layout::gemm::ColumnMajor>)
+            {
+                return make_naive_tensor_view<address_space_enum::global>(
+                    c_start,
+                    make_tuple(kargs.M, kargs.N),
+                    make_tuple(1, kargs.stride_C),
+                    number<GemmPipeline::AlignmentC>{},
+                    number<1>{});
+            }
+            else
+            {
+                return make_naive_tensor_view<address_space_enum::global>(
+                    c_start,
+                    make_tuple(kargs.M, kargs.N),
+                    make_tuple(kargs.stride_C, 1),
+                    number<GemmPipeline::AlignmentC>{},
+                    number<1>{});
+            }
+        }();
+
+        auto CBlockWindow = make_tile_window(
+            c_tensor_view,
+            make_tuple(number<TilePartitioner::kM>{}, number<TilePartitioner::kN>{}),
+            {i_m, i_n});
+        // epilogue.
+        EpiloguePipeline{}(CBlockWindow, acc);
+    }
+};
+
+} // namespace ck_tile

include/ck_tile/ops/gemm/kernel/gemm_tile_partitioner.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include "ck_tile/core.hpp"
+
+namespace ck_tile {
+template <typename BlockGemmShape_>
+struct GemmTilePartitioner
+{
+    using BlockGemmShape = ck_tile::remove_cvref_t<BlockGemmShape_>;
+
+    static constexpr ck_tile::index_t kM = BlockGemmShape::kM;
+    static constexpr ck_tile::index_t kN = BlockGemmShape::kN;
+    static constexpr ck_tile::index_t kK = BlockGemmShape::kK;
+
+    const index_t iM = __builtin_amdgcn_readfirstlane(i_tile_m * kM);
+    const index_t iN = __builtin_amdgcn_readfirstlane(i_tile_n * kN);
+
+    CK_TILE_HOST static constexpr auto
+    GridSize(ck_tile::index_t M, ck_tile::index_t N, ck_tile::index_t batch_size)
+    {
+        ck_tile::index_t GridDimX = (M + kM - 1) / kM;
+        ck_tile::index_t GridDimY = (N + kN - 1) / kN;
+        ck_tile::index_t GridDimZ = batch_size;
+        return dim3(GridDimX, GridDimY, GridDimZ);
+    }
+
+    CK_TILE_DEVICE auto operator()()
+    {
+        const index_t i_GridDimX = blockIdx.x;
+        const index_t i_GridDimY = blockIdx.y;
+        const index_t i_GridDimZ = blockIdx.z;
+        return ck_tile::make_tuple(i_GridDimX, i_GridDimY, i_GridDimZ);
+    }
+};
+} // namespace ck_tile

include/ck_tile/ops/gemm/pipeline/block_gemm_pipeline_agmem_bgmem_creg_v1.hpp

@@ -4,6 +4,7 @@
 #pragma once
 
 #include "ck_tile/core.hpp"
+#include "ck_tile/ops/gemm/pipeline/block_gemm_pipeline_agmem_bgmem_creg_v1_default_policy.hpp"
 
 namespace ck_tile {
 
@@ -18,12 +19,16 @@ struct BlockGemmPipelineAGmemBGmemCRegV1
     using CDataType      = remove_cvref_t<typename Problem::CDataType>;
     using BlockGemmShape = remove_cvref_t<typename Problem::BlockGemmShape>;
 
-    static constexpr index_t kBlockSize = Problem::kBlockSize;
+    static constexpr index_t KernelBlockSize = Problem::KernelBlockSize;
 
     static constexpr index_t kMPerBlock = BlockGemmShape::kM;
     static constexpr index_t kNPerBlock = BlockGemmShape::kN;
     static constexpr index_t kKPerBlock = BlockGemmShape::kK;
 
+    static constexpr index_t AlignmentA = Problem::AlignmentA;
+    static constexpr index_t AlignmentB = Problem::AlignmentB;
+    static constexpr index_t AlignmentC = Problem::AlignmentC;
+
     CK_TILE_HOST_DEVICE static constexpr ck_tile::index_t GetStaticLdsSize()
     {
         return ck_tile::integer_divide_ceil(
@@ -35,6 +40,11 @@ struct BlockGemmPipelineAGmemBGmemCRegV1
                    Policy::template MakeBLdsBlockDescriptor<Problem>().get_element_space_size();
     }
 
+    CK_TILE_HOST_DEVICE static constexpr ck_tile::index_t GetSmemSize()
+    {
+        return Policy::template GetSmemSize<Problem>();
+    }
+
     template <typename ADramBlockWindowTmp,
               typename BDramBlockWindowTmp,
               typename AElementFunction,
@@ -140,8 +150,7 @@ struct BlockGemmPipelineAGmemBGmemCRegV1
         }
 
         index_t iCounter = num_loop - 1;
-
-        do
+        while(iCounter > 0)
         {
             // global read i + 1
             a_block_tile = load_tile(a_copy_dram_window);
@@ -167,8 +176,7 @@ struct BlockGemmPipelineAGmemBGmemCRegV1
             store_tile(b_copy_lds_window, b_block_tile_tmp);
 
             iCounter--;
-
-        } while(iCounter > 0);
+        }
 
         // tail
         {

include/ck_tile/ops/gemm/pipeline/block_gemm_pipeline_agmem_bgmem_creg_v1_default_policy.hpp

@@ -91,6 +91,33 @@ struct BlockGemmPipelineAGmemBGmemCRegV1DefaultPolicy
 
         return b_lds_block_desc;
     }
+
+    template <typename Problem>
+    CK_TILE_HOST_DEVICE static constexpr ck_tile::index_t GetSmemSizeA()
+    {
+        constexpr index_t smem_size_a = sizeof(typename Problem::ADataType) *
+                                        MakeALdsBlockDescriptor<Problem>().get_element_space_size();
+        return smem_size_a;
+    }
+
+    template <typename Problem>
+    CK_TILE_HOST_DEVICE static constexpr ck_tile::index_t GetSmemSizeB()
+    {
+        constexpr index_t smem_size_b = sizeof(typename Problem::BDataType) *
+                                        MakeBLdsBlockDescriptor<Problem>().get_element_space_size();
+        return smem_size_b;
+    }
+
+    template <typename Problem>
+    CK_TILE_HOST_DEVICE static constexpr ck_tile::index_t GetSmemSize()
+    {
+        constexpr index_t smem_size_a = GetSmemSizeA<Problem>();
+        constexpr index_t smem_size_b = GetSmemSizeB<Problem>();
+        index_t smem_size             = 0;
+        smem_size += smem_size_a + smem_size_b;
+
+        return smem_size;
+    }
 #elif 1
     // fake XOR
     template <typename Problem>
@@ -168,7 +195,7 @@ struct BlockGemmPipelineAGmemBGmemCRegV1DefaultPolicy
     {
         using ADataType = remove_cvref_t<typename Problem::ADataType>;
 
-        constexpr index_t kBlockSize = Problem::kBlockSize;
+        constexpr index_t KernelBlockSize = Problem::KernelBlockSize;
 
         constexpr index_t kMPerBlock = Problem::BlockGemmShape::kM;
         constexpr index_t kKPerBlock = Problem::BlockGemmShape::kK;
@@ -177,7 +204,9 @@ struct BlockGemmPipelineAGmemBGmemCRegV1DefaultPolicy
         constexpr index_t K0 = kKPerBlock / K1;
         constexpr index_t M2 = get_warp_size() / K0;
 #if 1 // coalesce reading for each blocks
-        constexpr index_t M1 = kBlockSize / get_warp_size();
+        constexpr index_t M1 = KernelBlockSize / get_warp_size();
+        static_assert(M2 != 0, "M2 is zero, which will lead to a division by zero error.");
+        static_assert(M1 != 0, "M1 is zero, which will lead to a division by zero error.");
         constexpr index_t M0 = kMPerBlock / (M2 * M1);
 
         return make_static_tile_distribution(
@@ -188,7 +217,7 @@ struct BlockGemmPipelineAGmemBGmemCRegV1DefaultPolicy
                                        sequence<1, 2>,
                                        sequence<0, 1>>{});
 #else // coalesce reading for each warps
-        constexpr index_t M0 = kBlockSize / get_warp_size();
+        constexpr index_t M0 = KernelBlockSize / get_warp_size();
         constexpr index_t M1 = kMPerBlock / (M2 * M0);
 
         return make_static_tile_distribution(
@@ -206,7 +235,7 @@ struct BlockGemmPipelineAGmemBGmemCRegV1DefaultPolicy
     {
         using BDataType = remove_cvref_t<typename Problem::BDataType>;
 
-        constexpr index_t kBlockSize = Problem::kBlockSize;
+        constexpr index_t KernelBlockSize = Problem::KernelBlockSize;
 
         constexpr index_t kNPerBlock = Problem::BlockGemmShape::kN;
         constexpr index_t kKPerBlock = Problem::BlockGemmShape::kK;
@@ -215,7 +244,9 @@ struct BlockGemmPipelineAGmemBGmemCRegV1DefaultPolicy
         constexpr index_t K0 = kKPerBlock / K1;
         constexpr index_t N2 = get_warp_size() / K0;
 #if 1 // coalesce reading for each blocks
-        constexpr index_t N1 = kBlockSize / get_warp_size();
+        constexpr index_t N1 = KernelBlockSize / get_warp_size();
+        static_assert(N2 != 0, "M2 is zero, which will lead to a division by zero error.");
+        static_assert(N1 != 0, "M1 is zero, which will lead to a division by zero error.");
         constexpr index_t N0 = kNPerBlock / (N2 * N1);
 
         return make_static_tile_distribution(
@@ -226,7 +257,7 @@ struct BlockGemmPipelineAGmemBGmemCRegV1DefaultPolicy
                                        sequence<1, 2>,
                                        sequence<0, 1>>{});
 #else // coalesce reading for each warps
-        constexpr index_t N0 = kBlockSize / get_warp_size();
+        constexpr index_t N0 = KernelBlockSize / get_warp_size();
         constexpr index_t N1 = kNPerBlock / (N2 * N0);
 
         return make_static_tile_distribution(

include/ck_tile/ops/gemm/pipeline/block_gemm_pipeline_agmem_bgmem_creg_v2.hpp

@@ -4,6 +4,7 @@
 #pragma once
 
 #include "ck_tile/core.hpp"
+#include "ck_tile/ops/gemm/pipeline/block_gemm_pipeline_agmem_bgmem_creg_v2_default_policy.hpp"
 
 namespace ck_tile {
 
@@ -18,7 +19,7 @@ struct BlockGemmPipelineAGmemBGmemCRegV2
     using CDataType      = remove_cvref_t<typename Problem::CDataType>;
     using BlockGemmShape = remove_cvref_t<typename Problem::BlockGemmShape>;
 
-    static constexpr index_t kBlockSize = Problem::kBlockSize;
+    static constexpr index_t KernelBlockSize = Problem::KernelBlockSize;
 
     static constexpr index_t kMPerBlock = BlockGemmShape::kM;
     static constexpr index_t kNPerBlock = BlockGemmShape::kN;

include/ck_tile/ops/gemm/pipeline/block_gemm_pipeline_problem.hpp

@@ -5,13 +5,17 @@
 
 #include "ck_tile/core.hpp"
 
+#define VectorLoadSize 16
+
 namespace ck_tile {
 
 template <typename ADataType_,
           typename BDataType_,
           typename CDataType_,
-          index_t kBlockSize_,
-          typename BlockGemmShape_>
+          typename BlockGemmShape_,
+          bool kPadA_ = false,
+          bool kPadB_ = false,
+          bool kPadC_ = false>
 struct BlockGemmPipelineProblem
 {
     using ADataType      = remove_cvref_t<ADataType_>;
@@ -19,7 +23,14 @@ struct BlockGemmPipelineProblem
     using CDataType      = remove_cvref_t<CDataType_>;
     using BlockGemmShape = remove_cvref_t<BlockGemmShape_>;
 
-    static constexpr index_t kBlockSize = kBlockSize_;
+    static constexpr index_t KernelBlockSize = BlockGemmShape::NumWarps * get_warp_size();
+    static constexpr bool kPadA              = kPadA_;
+    static constexpr bool kPadB              = kPadB_;
+    static constexpr bool kPadC              = kPadC_;
+
+    static constexpr index_t AlignmentA = kPadA ? VectorLoadSize / sizeof(ADataType) : 1;
+    static constexpr index_t AlignmentB = kPadB ? VectorLoadSize / sizeof(BDataType) : 1;
+    static constexpr index_t AlignmentC = kPadC ? VectorLoadSize / sizeof(CDataType) : 1;
 };
 
 } // namespace ck_tile

include/ck_tile/ops/gemm/pipeline/tile_gemm_shape.hpp

@@ -7,12 +7,18 @@
 
 namespace ck_tile {
 
-template <index_t kMPerTile, index_t kNPerTile, index_t kKPerTile>
+template <typename BlockTile_, typename BlockWarps_, typename WarpTile_>
 struct TileGemmShape
 {
-    static constexpr index_t kM = kMPerTile;
-    static constexpr index_t kN = kNPerTile;
-    static constexpr index_t kK = kKPerTile;
+    using BlockTile  = remove_cvref_t<BlockTile_>;
+    using BlockWarps = remove_cvref_t<BlockWarps_>;
+    using WarpTile   = remove_cvref_t<WarpTile_>;
+
+    static constexpr index_t NumWarps = reduce_on_sequence(BlockWarps{}, multiplies{}, number<1>{});
+
+    static constexpr index_t kM = BlockTile::at(number<0>{});
+    static constexpr index_t kN = BlockTile::at(number<1>{});
+    static constexpr index_t kK = BlockTile::at(number<2>{});
 };
 
 } // namespace ck_tile