add optimization for small gemm

example/01_gemm/gemm_xdl_fp16_splitk.cpp

@@ -11,7 +11,7 @@
 #include "host_tensor_generator.hpp"
 #include "device_tensor.hpp"
 #include "device_gemm_xdl.hpp"
-#include "device_gemm_xdl_splitk_c_shuffle.hpp"
+#include "device_gemm_xdl_splitk_c_shuffle_small_gemm.hpp"
 #include "device_gemm_xdl_splitk_c_shuffle_static.hpp"
 #include "device_gemm_xdl_cshuffle.hpp"
 #include "element_wise_operation.hpp"
@@ -47,25 +47,34 @@ static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecializa
 
 
 #if USEING_STATIC_KERNEL
+#if MNKB_1_4
 using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdlSplitKCShuffleStatic
 //######| ALayout| BLayout| CLayout| AData| BData| CData| AccData| CShuffle|           A|           B|           C|           GEMM| NumGemmK| Block|  MPer|  NPer|  KPer| AK1| BK1| MPer| NPer| MXdl| NXdl|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds|    CShuffle|    CShuffle| CBlockTransferClusterLengths|  CBlockTransfer|
 //######|        |        |        |  Type|  Type|  Type|    Type| DataType| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch|  Size| Block| Block| Block|    |    |  XDL|  XDL|  Per|  Per|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar| AddExtraM|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave|         _MBlock_MWaveMPerXdl| ScalarPerVector|
 //######|        |        |        |      |      |      |        |         |   Operation|   Operation|   Operation|               |    Stage|      |      |      |      |    |    |     |     | Wave| Wave| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1|          | Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|          |  PerShuffle|  PerShuffle|         _NBlock_NWaveNPerXdl|   _NWaveNPerXdl|
 //######|        |        |        |      |      |      |        |         |            |            |            |               |         |      |      |      |      |    |    |     |     |     |     |                |               |               |               |               |               |          |                |               |               |              |               |               |          |            |            |                             |                |
-            //<Row,      Row,     Row,   F16,   F16,   F16,     F32,      F16,  AElementOp,  BElementOp,  CElementOp,    GemmDefault,        3,   256,    16,   128,    32,   8,   2,   16,   16,    1,    2,  S<1, 4, 16, 4>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,              3,              2,              2,         1,  S<1, 8, 32, 1>,  S<0, 1, 3, 2>,  S<0, 1, 3, 2>,             2,              4,              2,         8,           1,           2,              S<1, 4, 1, 64>,               2>;
-            <Row,      Row,     Row,   F16,   F16,   F16,     F32,      F16,  AElementOp,  BElementOp,  CElementOp,    GemmDefault,        2,   256,    16,   128,    32,   8,   2,   16,   16,    1,    2,  S<1, 4, 16, 4>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,              3,              2,              2,         1,  S<1, 8, 32, 1>,  S<0, 1, 3, 2>,  S<0, 1, 3, 2>,             2,              4,              2,         8,           1,           2,              S<1, 4, 1, 64>,               2>;
+            <Row,      Row,     Row,   F16,   F16,   F16,     F32,      F16,  AElementOp,  BElementOp,  CElementOp,    GemmDefault,        1,   256,    16,   128,    32,   8,   2,   16,   16,    1,    2,  S<1, 4, 16, 4>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,              3,              2,              2,         1,  S<1, 8, 32, 1>,  S<0, 1, 3, 2>,  S<0, 1, 3, 2>,             2,              4,              2,         8,           1,           2,              S<1, 4, 1, 64>,               2>;
+
+#else
+using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdlSplitKCShuffleStatic
+//######| ALayout| BLayout| CLayout| AData| BData| CData| AccData| CShuffle|           A|           B|           C|           GEMM| NumGemmK| Block|  MPer|  NPer|  KPer| AK1| BK1| MPer| NPer| MXdl| NXdl|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds|    CShuffle|    CShuffle| CBlockTransferClusterLengths|  CBlockTransfer|
+//######|        |        |        |  Type|  Type|  Type|    Type| DataType| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch|  Size| Block| Block| Block|    |    |  XDL|  XDL|  Per|  Per|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar| AddExtraM|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave|         _MBlock_MWaveMPerXdl| ScalarPerVector|
+//######|        |        |        |      |      |      |        |         |   Operation|   Operation|   Operation|               |    Stage|      |      |      |      |    |    |     |     | Wave| Wave| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1|          | Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|          |  PerShuffle|  PerShuffle|         _NBlock_NWaveNPerXdl|   _NWaveNPerXdl|
+//######|        |        |        |      |      |      |        |         |            |            |            |               |         |      |      |      |      |    |    |     |     |     |     |                |               |               |               |               |               |          |                |               |               |              |               |               |          |            |            |                             |                |
+            <Row,      Row,     Row,   F16,   F16,   F16,     F32,      F16,  AElementOp,  BElementOp,  CElementOp,    GemmDefault,        3,   256,    16,   128,    32,   8,   2,   16,   16,    1,    2,  S<1, 4, 16, 4>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,              3,              2,              2,         1,  S<1, 8, 32, 1>,  S<0, 1, 3, 2>,  S<0, 1, 3, 2>,             2,              4,              2,         8,           1,           2,              S<1, 4, 1, 64>,               2>;
+            //<Row,      Row,     Row,   F16,   F16,   F16,     F32,      F16,  AElementOp,  BElementOp,  CElementOp,    GemmDefault,        2,   256,    16,   256,    32,   8,   2,   16,   16,    1,    4,  S<1, 4, 16, 4>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,              3,              2,              2,         1,  S<1, 4, 64, 1>,  S<0, 1, 3, 2>,  S<0, 1, 3, 2>,             2,              4,              2,         8,           1,           2,              S<1, 4, 1, 64>,               2>;
             //<Row,      Col,     Row,   F16,   F16,   F16,     F32,      F16,  AElementOp,  BElementOp,  CElementOp,    GemmDefault,        1,   256,    16,   128,    128,   8,   8,   16,   16,    1,    2,  S<1, 16, 16, 1>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,              3,              8,              8,         1,  S<1, 16, 16, 1>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,             3,              8,              8,         1,           1,           2,              S<1, 4, 1, 64>,               2>;
             //<Row,      Row,     Row,   F16,   F16,   F16,     F32,      F16,  AElementOp,  BElementOp,  CElementOp,    GemmDefault,        4,   256,    16,   128,    32,   8,   2,   16,   16,    1,    2,  S<1, 4, 16, 4>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,              3,              2,              2,         1,  S<1, 8, 32, 1>,  S<0, 1, 3, 2>,  S<0, 1, 3, 2>,             2,              4,              2,         8,           1,           2,              S<1, 4, 1, 64>,               2>;
-
+#endif
 #else
 // clang-format off
-using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdlSplitKCShuffle
+using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdlSplitKCShuffleSmallGemm
 //######| ALayout| BLayout| CLayout| AData| BData| CData| AccData| CShuffle|           A|           B|           C|           GEMM| NumGemmK| Block|  MPer|  NPer|  KPer| AK1| BK1| MPer| NPer| MXdl| NXdl|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds|    CShuffle|    CShuffle| CBlockTransferClusterLengths|  CBlockTransfer|
 //######|        |        |        |  Type|  Type|  Type|    Type| DataType| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch|  Size| Block| Block| Block|    |    |  XDL|  XDL|  Per|  Per|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar| AddExtraM|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave|         _MBlock_MWaveMPerXdl| ScalarPerVector|
 //######|        |        |        |      |      |      |        |         |   Operation|   Operation|   Operation|               |    Stage|      |      |      |      |    |    |     |     | Wave| Wave| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1|          | Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|          |  PerShuffle|  PerShuffle|         _NBlock_NWaveNPerXdl|   _NWaveNPerXdl|
 //######|        |        |        |      |      |      |        |         |            |            |            |               |         |      |      |      |      |    |    |     |     |     |     |                |               |               |               |               |               |          |                |               |               |              |               |               |          |            |            |                             |                |
             <Row,      Row,     Row,   F16,   F16,   F16,     F32,      F16,  AElementOp,  BElementOp,  CElementOp,    GemmDefault,        3,   256,    16,   128,    32,   8,   2,   16,   16,    1,    2,  S<1, 4, 16, 4>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,              3,              2,              2,         1,  S<1, 8, 32, 1>,  S<0, 1, 3, 2>,  S<0, 1, 3, 2>,             2,              4,              2,         8,           1,           1,              S<1, 16, 1, 16>,               2>;
-            //<Row,      Row,     Row,   F16,   F16,   F16,     F32,      F16,  AElementOp,  BElementOp,  CElementOp,    GemmDefault,        4,   256,    16,   128,    32,   8,   2,   16,   16,    1,    2,  S<1, 4, 16, 4>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,              3,              2,              2,         1,  S<1, 8, 32, 1>,  S<0, 1, 3, 2>,  S<0, 1, 3, 2>,             2,              4,              2,         8,           1,           1,              S<1, 16, 1, 16>,               2>;
+            //<Row,      Row,     Row,   F16,   F16,   F16,     F32,      F16,  AElementOp,  BElementOp,  CElementOp,    GemmDefault,        3,   256,    16,   256,    32,   8,   2,   16,   16,    1,    4,  S<1, 4, 16, 4>,  S<0, 2, 1, 3>,  S<0, 2, 1, 3>,              3,              2,              2,         1,  S<1, 4, 64, 1>,  S<0, 1, 3, 2>,  S<0, 1, 3, 2>,             2,              4,              2,         8,           1,           2,              S<1, 4, 1, 64>,               2>;
                      
 // clang-format on
 

include/ck/tensor_operation/gpu/device/device_gemm_xdl_splitk_c_shuffle_small_gemm.hpp

+#pragma once
+
+#include <iostream>
+#include <sstream>
+#include "device.hpp"
+#include "device_base.hpp"
+#include "device_gemm.hpp"
+#include "common_header.hpp"
+#include "tensor_layout.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
+#include "gridwise_gemm_xdlops_v2r4r2.hpp"
+#include "gemm_specialization.hpp"
+
+#ifndef CK_RUN_KERNEL_AND_TIME
+#define CK_RUN_KERNEL_AND_TIME 1
+#endif
+
+namespace ck {
+namespace tensor_operation {
+namespace device {
+
+template <typename ALayout,
+          typename BLayout,
+          typename CLayout,
+          typename ADataType,
+          typename BDataType,
+          typename CDataType,
+          typename GemmAccDataType,
+          typename CShuffleDataType,
+          typename AElementwiseOperation,
+          typename BElementwiseOperation,
+          typename CElementwiseOperation,
+          GemmSpecialization GemmSpec,
+          index_t NumGemmKPrefetchStage,
+          index_t BlockSize,
+          index_t MPerBlock,
+          index_t NPerBlock,
+          index_t KPerBlock,
+          index_t AK1,
+          index_t BK1,
+          index_t MPerXDL,
+          index_t NPerXDL,
+          index_t MXdlPerWave,
+          index_t NXdlPerWave,
+          typename ABlockTransferThreadClusterLengths_AK0_M_AK1,
+          typename ABlockTransferThreadClusterArrangeOrder,
+          typename ABlockTransferSrcAccessOrder,
+          index_t ABlockTransferSrcVectorDim,
+          index_t ABlockTransferSrcScalarPerVector,
+          index_t ABlockTransferDstScalarPerVector_AK1,
+          index_t ABlockLdsExtraM,
+          typename BBlockTransferThreadClusterLengths_BK0_N_BK1,
+          typename BBlockTransferThreadClusterArrangeOrder,
+          typename BBlockTransferSrcAccessOrder,
+          index_t BBlockTransferSrcVectorDim,
+          index_t BBlockTransferSrcScalarPerVector,
+          index_t BBlockTransferDstScalarPerVector_BK1,
+          index_t BBlockLdsExtraN,
+          index_t CShuffleMXdlPerWavePerShuffle,
+          index_t CShuffleNXdlPerWavePerShuffle,
+          typename CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
+          index_t CShuffleBlockTransferScalarPerVector_NPerBlock,
+          LoopScheduler LoopSched = make_default_loop_scheduler()>
+struct DeviceGemmXdlSplitKCShuffleSmallGemm
+    : public DeviceGemm<AElementwiseOperation, BElementwiseOperation, CElementwiseOperation>
+{
+    static constexpr auto I0 = Number<0>{};
+    static constexpr auto I1 = Number<1>{};
+    static constexpr auto I2 = Number<2>{};
+    static constexpr auto I3 = Number<3>{};
+
+    static auto
+    MakeAGridDescriptor_KBatch_K0_M_K1(index_t M, index_t K, index_t StrideA, int KBatch, int KPad)
+    {
+        assert(KPad % (AK1 * KBatch) == 0);
+
+        const index_t AK0 = KPad / (AK1 * KBatch);
+
+        const auto a_grid_desc_m_k = [&]() {
+            if constexpr(is_same<tensor_layout::gemm::RowMajor, ALayout>::value)
+            {
+                return make_naive_tensor_descriptor(make_tuple(M, K), make_tuple(StrideA, I1));
+            }
+            else if constexpr(is_same<tensor_layout::gemm::ColumnMajor, ALayout>::value)
+            {
+                return make_naive_tensor_descriptor(make_tuple(M, K), make_tuple(I1, StrideA));
+            }
+        }();
+
+        const auto a_grid_desc_m_kpad = transform_tensor_descriptor(
+            a_grid_desc_m_k,
+            make_tuple(make_right_pad_transform(K, KPad - K), make_pass_through_transform(M)),
+            make_tuple(Sequence<0>{}, Sequence<1>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}));
+
+        if constexpr(GemmSpec == GemmSpecialization::MNPadding)
+        {
+            const auto PadM = (MPerBlock - M % MPerBlock) % MPerBlock;
+            return transform_tensor_descriptor(
+                a_grid_desc_m_kpad,
+                make_tuple(make_unmerge_transform(make_tuple(KBatch, AK0, AK1)),
+                           make_right_pad_transform(M, PadM)),
+                make_tuple(Sequence<1>{}, Sequence<0>{}),
+                make_tuple(Sequence<0, 1, 3>{}, Sequence<2>{}));
+        }
+        else if constexpr(GemmSpec == GemmSpecialization::KPadding)
+        {
+            return transform_tensor_descriptor(
+                a_grid_desc_m_kpad,
+                make_tuple(make_unmerge_transform(make_tuple(KBatch, AK0, AK1)),
+                           make_pass_through_transform(M)),
+                make_tuple(Sequence<1>{}, Sequence<0>{}),
+                make_tuple(Sequence<0, 1, 3>{}, Sequence<2>{}));
+        }
+        else
+        {
+            return transform_tensor_descriptor(
+                a_grid_desc_m_k,
+                make_tuple(make_unmerge_transform(make_tuple(KBatch, AK0, AK1)),
+                           make_pass_through_transform(M)),
+                make_tuple(Sequence<1>{}, Sequence<0>{}),
+                make_tuple(Sequence<0, 1, 3>{}, Sequence<2>{}));
+        }
+    }
+
+    static auto
+    MakeBGridDescriptor_KBatch_K0_N_K1(index_t K, index_t N, index_t StrideB, int KBatch, int KPad)
+    {
+        assert(KPad % (BK1 * KBatch) == 0);
+
+        const index_t BK0 = KPad / (BK1 * KBatch);
+
+        const auto b_grid_desc_k_n = [&]() {
+            if constexpr(is_same<tensor_layout::gemm::RowMajor, BLayout>::value)
+            {
+                return make_naive_tensor_descriptor(make_tuple(K, N), make_tuple(StrideB, I1));
+            }
+            else if constexpr(is_same<tensor_layout::gemm::ColumnMajor, BLayout>::value)
+            {
+                return make_naive_tensor_descriptor(make_tuple(K, N), make_tuple(I1, StrideB));
+            }
+        }();
+
+        const auto b_grid_desc_kpad_n = transform_tensor_descriptor(
+            b_grid_desc_k_n,
+            make_tuple(make_right_pad_transform(K, KPad - K), make_pass_through_transform(N)),
+            make_tuple(Sequence<0>{}, Sequence<1>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}));
+
+        if constexpr(GemmSpec == GemmSpecialization::MNPadding)
+        {
+            const auto PadN = (NPerBlock - N % NPerBlock) % NPerBlock;
+            return transform_tensor_descriptor(
+                b_grid_desc_kpad_n,
+                make_tuple(make_unmerge_transform(make_tuple(KBatch, BK0, BK1)),
+                           make_right_pad_transform(N, PadN)),
+                make_tuple(Sequence<0>{}, Sequence<1>{}),
+                make_tuple(Sequence<0, 1, 3>{}, Sequence<2>{}));
+        }
+        else if constexpr(GemmSpec == GemmSpecialization::KPadding)
+        {
+            return transform_tensor_descriptor(
+                b_grid_desc_kpad_n,
+                make_tuple(make_unmerge_transform(make_tuple(KBatch, BK0, BK1)),
+                           make_pass_through_transform(N)),
+                make_tuple(Sequence<0>{}, Sequence<1>{}),
+                make_tuple(Sequence<0, 1, 3>{}, Sequence<2>{}));
+        }
+        else
+        {
+            return transform_tensor_descriptor(
+                b_grid_desc_k_n,
+                make_tuple(make_unmerge_transform(make_tuple(KBatch, BK0, BK1)),
+                           make_pass_through_transform(N)),
+                make_tuple(Sequence<0>{}, Sequence<1>{}),
+                make_tuple(Sequence<0, 1, 3>{}, Sequence<2>{}));
+        }
+    }
+
+    static auto MakeCGridDescriptor_M_N(index_t M, index_t N, index_t StrideC)
+    {
+        const auto c_grid_desc_m_n = [&]() {
+            if constexpr(is_same<tensor_layout::gemm::RowMajor, CLayout>::value)
+            {
+                return make_naive_tensor_descriptor(make_tuple(M, N), make_tuple(StrideC, I1));
+            }
+            else if constexpr(is_same<tensor_layout::gemm::ColumnMajor, CLayout>::value)
+            {
+                return make_naive_tensor_descriptor(make_tuple(M, N), make_tuple(I1, StrideC));
+            }
+        }();
+
+        if constexpr(GemmSpec == GemmSpecialization::MNPadding)
+        {
+            const auto PadM = (MPerBlock - M % MPerBlock) % MPerBlock;
+            const auto PadN = (NPerBlock - N % NPerBlock) % NPerBlock;
+
+            return transform_tensor_descriptor(
+                c_grid_desc_m_n,
+                make_tuple(make_right_pad_transform(M, PadM), make_right_pad_transform(N, PadN)),
+                make_tuple(Sequence<0>{}, Sequence<1>{}),
+                make_tuple(Sequence<0>{}, Sequence<1>{}));
+        }
+        else
+        {
+
+            return transform_tensor_descriptor(
+                c_grid_desc_m_n,
+                make_tuple(make_pass_through_transform(M), make_pass_through_transform(N)),
+                make_tuple(Sequence<0>{}, Sequence<1>{}),
+                make_tuple(Sequence<0>{}, Sequence<1>{}));
+        }
+    }
+
+    static auto GetKPad(index_t K, index_t KBatch)
+    {
+        const index_t KPad = math::integer_divide_ceil(K, KPerBlock * KBatch) * (KPerBlock * KBatch);
+        return KPad;
+    }
+
+    using AGridDesc_K0_M_K1 = decltype(MakeAGridDescriptor_KBatch_K0_M_K1(1, 1, 1, 1, 1));
+    using BGridDesc_K0_N_K1 = decltype(MakeBGridDescriptor_KBatch_K0_N_K1(1, 1, 1, 1, 1));
+    using CGridDesc_M_N     = decltype(MakeCGridDescriptor_M_N(1, 1, 1));
+
+    // GridwiseGemm
+    using GridwiseGemm = GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2<
+        BlockSize,
+        ADataType, // TODO: distinguish A/B datatype
+        GemmAccDataType,
+        CDataType,
+        InMemoryDataOperationEnum::Set,
+        AGridDesc_K0_M_K1,
+        BGridDesc_K0_N_K1,
+        CGridDesc_M_N,
+        AElementwiseOperation,
+        BElementwiseOperation,
+        CElementwiseOperation,
+        NumGemmKPrefetchStage,
+        MPerBlock,
+        NPerBlock,
+        KPerBlock,
+        AK1,
+        BK1,
+        MPerXDL,
+        NPerXDL,
+        MXdlPerWave,
+        NXdlPerWave,
+        ABlockTransferThreadClusterLengths_AK0_M_AK1,
+        ABlockTransferThreadClusterArrangeOrder,
+        ABlockTransferSrcAccessOrder,
+        ABlockTransferSrcVectorDim,
+        ABlockTransferSrcScalarPerVector,
+        ABlockTransferDstScalarPerVector_AK1,
+        false, // AThreadTransferSrcResetCoordinateAfterRun,
+        ABlockLdsExtraM,
+        BBlockTransferThreadClusterLengths_BK0_N_BK1,
+        BBlockTransferThreadClusterArrangeOrder,
+        BBlockTransferSrcAccessOrder,
+        BBlockTransferSrcVectorDim,
+        BBlockTransferSrcScalarPerVector,
+        BBlockTransferDstScalarPerVector_BK1,
+        false, // BThreadTransferSrcResetCoordinateAfterRun,
+        BBlockLdsExtraN,
+        CShuffleMXdlPerWavePerShuffle,
+        CShuffleNXdlPerWavePerShuffle,
+        CShuffleBlockTransferScalarPerVector_NPerBlock,
+        CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock>;
+
+    // GridwiseGemm
+    using GridwiseGemmAtomicAdd = GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2<
+        BlockSize,
+        ADataType, // TODO: distinguish A/B datatype
+        GemmAccDataType,
+        CDataType,
+        InMemoryDataOperationEnum::AtomicAdd,
+        AGridDesc_K0_M_K1,
+        BGridDesc_K0_N_K1,
+        CGridDesc_M_N,
+        AElementwiseOperation,
+        BElementwiseOperation,
+        CElementwiseOperation,
+        NumGemmKPrefetchStage,
+        MPerBlock,
+        NPerBlock,
+        KPerBlock,
+        AK1,
+        BK1,
+        MPerXDL,
+        NPerXDL,
+        MXdlPerWave,
+        NXdlPerWave,
+        ABlockTransferThreadClusterLengths_AK0_M_AK1,
+        ABlockTransferThreadClusterArrangeOrder,
+        ABlockTransferSrcAccessOrder,
+        ABlockTransferSrcVectorDim,
+        ABlockTransferSrcScalarPerVector,
+        ABlockTransferDstScalarPerVector_AK1,
+        false, // AThreadTransferSrcResetCoordinateAfterRun,
+        ABlockLdsExtraM,
+        BBlockTransferThreadClusterLengths_BK0_N_BK1,
+        BBlockTransferThreadClusterArrangeOrder,
+        BBlockTransferSrcAccessOrder,
+        BBlockTransferSrcVectorDim,
+        BBlockTransferSrcScalarPerVector,
+        BBlockTransferDstScalarPerVector_BK1,
+        false, // BThreadTransferSrcResetCoordinateAfterRun,
+        BBlockLdsExtraN,
+        CShuffleMXdlPerWavePerShuffle,
+        CShuffleNXdlPerWavePerShuffle,
+        CShuffleBlockTransferScalarPerVector_NPerBlock,
+        CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock>;
+
+    using CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock =
+        decltype(GridwiseGemm::MakeCGridDesc_MBlock_MPerBlock_NBlock_NPerBlock(CGridDesc_M_N{}));
+
+    using Block2CTileMap = typename GridwiseGemm::CBlockClusterAdaptor;
+
+    // Argument
+    struct Argument : public BaseArgument
+    {
+        Argument(const ADataType* p_a_grid,
+                 const BDataType* p_b_grid,
+                 CDataType* p_c_grid,
+                 index_t M,
+                 index_t N,
+                 index_t K,
+                 index_t StrideA,
+                 index_t StrideB,
+                 index_t StrideC,
+                 index_t M01,
+                 index_t N01,
+                 AElementwiseOperation a_element_op,
+                 BElementwiseOperation b_element_op,
+                 CElementwiseOperation c_element_op,
+                 index_t k_batch)
+            : p_a_grid_{p_a_grid},
+              p_b_grid_{p_b_grid},
+              p_c_grid_{p_c_grid},
+              a_grid_desc_kbatch_k0_m_k1_{},
+              b_grid_desc_kbatch_k0_n_k1_{},
+              c_grid_desc_m_n_{},
+              c_grid_desc_mblock_mperblock_nblock_nperblock_{},
+              block_2_ctile_map_{},
+              M01_{M01},
+              N01_{N01},
+              a_element_op_{a_element_op},
+              b_element_op_{b_element_op},
+              c_element_op_{c_element_op},
+              k_batch_{k_batch}
+        {
+            int KPad = DeviceGemmXdlSplitKCShuffleSmallGemm::GetKPad(K, k_batch_);
+
+            a_grid_desc_kbatch_k0_m_k1_ =
+                DeviceGemmXdlSplitKCShuffleSmallGemm::MakeAGridDescriptor_KBatch_K0_M_K1(
+                    M, K, StrideA, k_batch_, KPad);
+            b_grid_desc_kbatch_k0_n_k1_ =
+                DeviceGemmXdlSplitKCShuffleSmallGemm::MakeBGridDescriptor_KBatch_K0_N_K1(
+                    K, N, StrideB, k_batch_, KPad);
+            c_grid_desc_m_n_ = DeviceGemmXdlSplitKCShuffleSmallGemm::MakeCGridDescriptor_M_N(M, N, StrideC);
+
+            block_2_ctile_map_ =
+                GridwiseGemm::MakeCBlockClusterAdaptor(c_grid_desc_m_n_, M01, N01, k_batch_);
+
+            if(GridwiseGemm::CheckValidity(a_grid_desc_kbatch_k0_m_k1_,
+                                           b_grid_desc_kbatch_k0_n_k1_,
+                                           c_grid_desc_m_n_,
+                                           block_2_ctile_map_))
+            {
+                c_grid_desc_mblock_mperblock_nblock_nperblock_ =
+                    GridwiseGemm::MakeCGridDesc_MBlock_MPerBlock_NBlock_NPerBlock(c_grid_desc_m_n_);
+            }
+        }
+
+        //  private:
+        const ADataType* p_a_grid_;
+        const BDataType* p_b_grid_;
+        CDataType* p_c_grid_;
+        AGridDesc_K0_M_K1 a_grid_desc_kbatch_k0_m_k1_;
+        BGridDesc_K0_N_K1 b_grid_desc_kbatch_k0_n_k1_;
+        CGridDesc_M_N c_grid_desc_m_n_;
+        CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock c_grid_desc_mblock_mperblock_nblock_nperblock_;
+        Block2CTileMap block_2_ctile_map_;
+        index_t M01_;
+        index_t N01_;
+        AElementwiseOperation a_element_op_;
+        BElementwiseOperation b_element_op_;
+        CElementwiseOperation c_element_op_;
+        index_t k_batch_;
+    };
+
+    // Invoker
+    struct Invoker : public BaseInvoker
+    {
+        using Argument = DeviceGemmXdlSplitKCShuffleSmallGemm::Argument;
+
+        void ShowInfo(const Argument& arg)
+        {
+            std::cout << "arg.a_grid_desc_kbatch_k0_m_k1_{"
+                      << arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I0) << ", "
+                      << arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I1) << ", "
+                      << arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I2) << ", "
+                      << arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I3) << "}" << std::endl;
+
+            std::cout << "arg.b_grid_desc_kbatch_k0_n_k1_{"
+                      << arg.b_grid_desc_kbatch_k0_n_k1_.GetLength(I0) << ", "
+                      << arg.b_grid_desc_kbatch_k0_n_k1_.GetLength(I1) << ", "
+                      << arg.b_grid_desc_kbatch_k0_n_k1_.GetLength(I2) << ", "
+                      << arg.b_grid_desc_kbatch_k0_n_k1_.GetLength(I3) << "}" << std::endl;
+
+            std::cout << "arg.c_grid_desc_m_n_{ " << arg.c_grid_desc_m_n_.GetLength(I0) << ", "
+                      << arg.c_grid_desc_m_n_.GetLength(I1) << "}" << std::endl;
+        }
+
+        float Run(const Argument& arg, const StreamConfig& stream_config = StreamConfig{})
+        {
+            ShowInfo(arg);
+
+            const auto kbatch = arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I0);
+
+            if(!GridwiseGemm::CheckValidity(arg.a_grid_desc_kbatch_k0_m_k1_,
+                                            arg.b_grid_desc_kbatch_k0_n_k1_,
+                                            arg.c_grid_desc_m_n_,
+                                            arg.block_2_ctile_map_))
+            {
+                throw std::runtime_error(
+                    "wrong! GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2 has invalid setting");
+            }
+
+            const index_t grid_size =
+                arg.block_2_ctile_map_.CalculateGridSize(arg.c_grid_desc_m_n_);
+
+            const auto K = arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I1) * arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I3);
+
+            const bool has_main_k0_block_loop = GridwiseGemm::CalculateHasMainK0BlockLoop(K);
+
+            float ave_time = 0;
+
+            const auto Run = [&](const auto& kernel) {
+                hipGetErrorString(hipMemset(
+                    arg.p_c_grid_,
+                    0,
+                    arg.c_grid_desc_mblock_mperblock_nblock_nperblock_.GetElementSpaceSize() *
+                        sizeof(CDataType)));
+
+                ave_time = launch_and_time_kernel(stream_config,
+                                       kernel,
+                                       dim3(grid_size),
+                                       dim3(BlockSize),
+                                       0,
+                                       arg.p_a_grid_,
+                                       arg.p_b_grid_,
+                                       arg.p_c_grid_,
+                                       arg.a_grid_desc_kbatch_k0_m_k1_,
+                                       arg.b_grid_desc_kbatch_k0_n_k1_,
+                                       arg.c_grid_desc_mblock_mperblock_nblock_nperblock_,
+                                       arg.a_element_op_,
+                                       arg.b_element_op_,
+                                       arg.c_element_op_,
+                                       arg.block_2_ctile_map_);
+            };
+
+            if(has_main_k0_block_loop)
+            {
+                if(kbatch == 1)
+                {
+                    const auto kernel = kernel_gemm_xdlops_v2r4r2<
+                        GridwiseGemm,
+                        ADataType, // TODO: distiguish A/B datatype
+                        CDataType,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::AGridDesc_K0_M_K1>,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::BGridDesc_K0_N_K1>,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::
+                                               CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock>,
+                        AElementwiseOperation,
+                        BElementwiseOperation,
+                        CElementwiseOperation,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::Block2CTileMap>,
+                        true>;
+
+                    Run(kernel);
+                }
+                else
+                {
+                    const auto kernel = kernel_gemm_xdlops_v2r4r2<
+                        GridwiseGemmAtomicAdd,
+                        ADataType, // TODO: distiguish A/B datatype
+                        CDataType,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::AGridDesc_K0_M_K1>,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::BGridDesc_K0_N_K1>,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::
+                                               CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock>,
+                        AElementwiseOperation,
+                        BElementwiseOperation,
+                        CElementwiseOperation,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::Block2CTileMap>,
+                        true>;
+
+                    Run(kernel);
+                }
+            }
+            else
+            {
+                if(kbatch == 1)
+                {
+                    const auto kernel = kernel_gemm_xdlops_v2r4r2<
+                        GridwiseGemm,
+                        ADataType, // TODO: distiguish A/B datatype
+                        CDataType,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::AGridDesc_K0_M_K1>,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::BGridDesc_K0_N_K1>,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::
+                                               CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock>,
+                        AElementwiseOperation,
+                        BElementwiseOperation,
+                        CElementwiseOperation,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::Block2CTileMap>,
+                        false>;
+
+                    Run(kernel);
+                }
+                else
+                {
+                    const auto kernel = kernel_gemm_xdlops_v2r4r2<
+                        GridwiseGemmAtomicAdd,
+                        ADataType, // TODO: distiguish A/B datatype
+                        CDataType,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::AGridDesc_K0_M_K1>,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::BGridDesc_K0_N_K1>,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::
+                                               CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock>,
+                        AElementwiseOperation,
+                        BElementwiseOperation,
+                        CElementwiseOperation,
+                        remove_reference_t<DeviceGemmXdlSplitKCShuffleSmallGemm::Block2CTileMap>,
+                        false>;
+
+                    Run(kernel);
+                }
+            }
+
+            return ave_time;
+        }
+
+        // polymorphic
+        float Run(const BaseArgument* p_arg,
+                  const StreamConfig& stream_config = StreamConfig{}) override
+        {
+            return Run(*dynamic_cast<const Argument*>(p_arg), stream_config);
+        }
+    };
+
+    static constexpr bool IsValidCompilationParameter()
+    {
+        // TODO: properly implement this check
+        return true;
+    }
+
+    static bool IsSupportedArgument(const Argument& arg)
+    {
+        return GridwiseGemm::CheckValidity(arg.a_grid_desc_kbatch_k0_m_k1_,
+                                           arg.b_grid_desc_kbatch_k0_n_k1_,
+                                           arg.c_grid_desc_m_n_,
+                                           arg.block_2_ctile_map_);
+    }
+
+    // polymorphic
+    bool IsSupportedArgument(const BaseArgument* p_arg) override
+    {
+        return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
+    }
+
+    static auto MakeArgument(const ADataType* p_a,
+                             const BDataType* p_b,
+                             CDataType* p_c,
+                             index_t M,
+                             index_t N,
+                             index_t K,
+                             index_t StrideA,
+                             index_t StrideB,
+                             index_t StrideC,
+                             AElementwiseOperation a_element_op,
+                             BElementwiseOperation b_element_op,
+                             CElementwiseOperation c_element_op,
+                             index_t KBatch)
+    {
+        return Argument{p_a,
+                        p_b,
+                        p_c,
+                        M,
+                        N,
+                        K,
+                        StrideA,
+                        StrideB,
+                        StrideC,
+                        1,
+                        1,
+                        a_element_op,
+                        b_element_op,
+                        c_element_op,
+                        KBatch};
+    }
+
+    static auto MakeInvoker() { return Invoker{}; }
+
+    // polymorphic
+    std::unique_ptr<BaseArgument> MakeArgumentPointer(const void* p_a,
+                                                      const void* p_b,
+                                                      void* p_c,
+                                                      index_t M,
+                                                      index_t N,
+                                                      index_t K,
+                                                      index_t StrideA,
+                                                      index_t StrideB,
+                                                      index_t StrideC,
+                                                      AElementwiseOperation a_element_op,
+                                                      BElementwiseOperation b_element_op,
+                                                      CElementwiseOperation c_element_op,
+                                                      ck::index_t KBatch = 1) override
+    {
+        return std::make_unique<Argument>(static_cast<const ADataType*>(p_a),
+                                          static_cast<const BDataType*>(p_b),
+                                          static_cast<CDataType*>(p_c),
+                                          M,
+                                          N,
+                                          K,
+                                          StrideA,
+                                          StrideB,
+                                          StrideC,
+                                          1,
+                                          1,
+                                          a_element_op,
+                                          b_element_op,
+                                          c_element_op,
+                                          KBatch);
+    }
+
+    // polymorphic
+    std::unique_ptr<BaseInvoker> MakeInvokerPointer() override
+    {
+        return std::make_unique<Invoker>(Invoker{});
+    }
+
+    // polymorphic
+    std::string GetTypeString() const override
+    {
+        auto str = std::stringstream();
+
+        // clang-format off
+        str << "DeviceGemmXdlSplitKCShuffleSmallGemm"
+            << "<"
+            << BlockSize << ", "
+            << MPerBlock << ", "
+            << NPerBlock << ", "
+            << KPerBlock
+            << ">";
+        // clang-format on
+
+        return str.str();
+    }
+};
+
+} // namespace device
+} // namespace tensor_operation
+} // namespace ck

include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_v2.hpp

@@ -14,12 +14,12 @@ struct GridwiseGemmPipeline_v2<1>
     __host__ __device__ static constexpr bool IsSupported(index_t num_loop)
     {
         // TODO: improve applicability
-        return num_loop > 2;
+        return num_loop >= 2;
     }
 
     __host__ __device__ static constexpr bool CalculateHasMainLoop(index_t num_loop)
     {
-        return (num_loop / 2) > 1;
+        return num_loop > 2;
     }
 
     template <bool HasMainLoop,

include/ck/utility/common_header.hpp

@@ -48,31 +48,44 @@
 #include "amd_xdlops.hpp"
 #endif
 
-#define USEING_STATIC_KERNEL 1
+#define USEING_STATIC_KERNEL 0
 
-#define MNKB_16_1152_5120_8 0
-#define MNKB_16_5120_384_3 1
-#define MNKB_16_1280_5120_8 1
-#define MNKB_16_5120_1280_5 1
+#define MNKB_0_8 1
+#define MNKB_1_4 0
+#define MNKB_2_8 0
+#define MNKB_3_5 0
 
-#if MNKB_16_1152_5120_8
+#define MNKB_4_5 0
+#define MNKB_5_5 0
+
+#if MNKB_0_8
+#define M_matrix 16
+#define N_matrix 4096
+#define K_matrix 12800
+#define K_batch 5
+#elif MNKB_1_4
+#define M_matrix 16
+#define N_matrix 4096
+#define K_matrix 12800
+#define K_batch 5
+#elif MNKB_2_8
 #define M_matrix 16
-#define N_matrix 1152
-#define K_matrix 5120
-#define K_batch 8
-#elif MNKB_16_5120_384_3
+#define N_matrix 4096
+#define K_matrix 12800
+#define K_batch 5
+#elif MNKB_3_5
 #define M_matrix 16
-#define N_matrix 5120
-#define K_matrix 384
-#define K_batch 4
-#elif MNKB_16_1280_5120_8
+#define N_matrix 4096
+#define K_matrix 12800
+#define K_batch 5
+#elif MNKB_4_5
 #define M_matrix 16
-#define N_matrix 1280
-#define K_matrix 5120
-#define K_batch 8
-#elif MNKB_16_5120_1280_5
+#define N_matrix 4096
+#define K_matrix 12800
+#define K_batch 5
+#elif MNKB_5_5
 #define M_matrix 16
-#define N_matrix 5120
-#define K_matrix 1280
+#define N_matrix 4096
+#define K_matrix 12800
 #define K_batch 5
 #endif