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 // SPDX-License-Identifier: MIT
 // Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
  
 #pragma once
  
 #include <iostream>
 #include <sstream>
  
 #include "ck/utility/common_header.hpp"
 #include "ck/tensor_description/tensor_descriptor.hpp"
 #include "ck/tensor_description/tensor_descriptor_helper.hpp"
 #include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
 #include "ck/tensor_operation/gpu/device/device_gemm_streamk.hpp"
 #include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
 #include "ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_streamk.hpp"
 #include "ck/host_utility/device_prop.hpp"
 #include "ck/host_utility/kernel_launch.hpp"
 #include "ck/host_utility/hip_check_error.hpp"
  
 namespace ck {
 namespace tensor_operation {
 namespace device {
  
 template <typename ADataType,
           typename BDataType,
           typename CDataType,
           typename AccDataType,
           typename ALayout,
           typename BLayout,
           typename CLayout,
           typename AElementwiseOperation,
           typename BElementwiseOperation,
           typename CElementwiseOperation,
           ck::index_t BlockSize,
           ck::index_t MPerBlock,
           ck::index_t NPerBlock,
           ck::index_t K0PerBlock,
           ck::index_t K1,
           ck::index_t MPerXDL,
           ck::index_t NPerXDL,
           ck::index_t MXdlPerWave,
           ck::index_t NXdlPerWave,
           typename ABlockTransferThreadClusterLengths_K0_M_K1,
           typename ABlockTransferThreadClusterArrangeOrder,
           typename ABlockTransferSrcAccessOrder,
           ck::index_t ABlockTransferSrcVectorDim,
           ck::index_t ABlockTransferSrcScalarPerVector,
           ck::index_t ABlockTransferDstScalarPerVector_K1,
           ck::index_t ABlockLdsAddExtraM,
           typename BBlockTransferThreadClusterLengths_K0_N_K1,
           typename BBlockTransferThreadClusterArrangeOrder,
           typename BBlockTransferSrcAccessOrder,
           ck::index_t BBlockTransferSrcVectorDim,
           ck::index_t BBlockTransferSrcScalarPerVector,
           ck::index_t BBlockTransferDstScalarPerVector_K1,
           ck::index_t BBlockLdsAddExtraN,
           index_t CShuffleMRepeatPerShuffle,
           index_t CShuffleNRepeatPerShuffle,
           typename CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
           index_t CBlockTransferScalarPerVector_NWaveNPerXDL>
 struct DeviceGemmXdlStreamK : public DeviceGemmStreamK<ALayout,
                                                        BLayout,
                                                        CLayout,
                                                        ADataType,
                                                        BDataType,
                                                        CDataType,
                                                        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>{};
  
     using GridwiseGemm = GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_streamk<
         BlockSize,
         BlockToCTileMap_GemmStreamK<MPerBlock,
                                     NPerBlock,
                                     K0PerBlock * K1,
                                     StreamKReductionStrategy::Atomic>,
         ADataType, // TODO: distinguish A/B datatype
         AccDataType,
         CDataType,
         ALayout,
         BLayout,
         CLayout,
         AElementwiseOperation,
         BElementwiseOperation,
         CElementwiseOperation,
         MPerBlock,
         NPerBlock,
         K0PerBlock,
         MPerXDL,
         NPerXDL,
         K1,
         MXdlPerWave,
         NXdlPerWave,
         ABlockTransferThreadClusterLengths_K0_M_K1,
         ABlockTransferThreadClusterArrangeOrder,
         ABlockTransferSrcAccessOrder,
         ABlockTransferSrcVectorDim,
         ABlockTransferSrcScalarPerVector,
         ABlockTransferDstScalarPerVector_K1,
         false, // AThreadTransferSrcResetCoordinateAfterRun,
         ABlockLdsAddExtraM,
         BBlockTransferThreadClusterLengths_K0_N_K1,
         BBlockTransferThreadClusterArrangeOrder,
         BBlockTransferSrcAccessOrder,
         BBlockTransferSrcVectorDim,
         BBlockTransferSrcScalarPerVector,
         BBlockTransferDstScalarPerVector_K1,
         false, // BThreadTransferSrcResetCoordinateAfterRun,
         BBlockLdsAddExtraN,
         CShuffleMRepeatPerShuffle,
         CShuffleNRepeatPerShuffle,
         CBlockTransferScalarPerVector_NWaveNPerXDL,
         CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock>;
  
     using Argument = typename GridwiseGemm::Argument;
  
     // Invoker
     struct Invoker : public BaseInvoker
     {
         void Print(const Argument& karg) { karg.Print(); }
  
         float Run(const Argument& karg, const StreamConfig& stream_config = StreamConfig{})
         {
             if(stream_config.log_level_ > 0)
             {
                 Print(karg);
             }
             if(!GridwiseGemm::CheckValidity(karg))
             {
                 throw std::runtime_error(
                     "wrong! GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2 has invalid "
                     "setting");
             }
  
             dim3 grid_dims = karg.block_mapping.get_grid_dims();
  
             float ave_time = 0;
  
             const auto kernel = kernel_gemm_xdlops_streamk<GridwiseGemm>;
  
             // TODO: remove clear buffer for streamk kernels
             if constexpr(GridwiseGemm::Block2CTileMap::ReductionStrategy ==
                          StreamKReductionStrategy::Atomic)
             {
                 hipGetErrorString(hipMemsetAsync(karg.p_c_grid,
                                                  0,
                                                  karg.M * karg.N * sizeof(CDataType),
                                                  stream_config.stream_id_));
                 ave_time = launch_and_time_kernel(stream_config,
                                                   kernel,
                                                   grid_dims,
                                                   dim3(BlockSize),
                                                   0,
                                                   karg.p_a_grid,
                                                   karg.p_b_grid,
                                                   karg.p_c_grid,
                                                   karg.p_workspace_,
                                                   karg.M,
                                                   karg.N,
                                                   karg.K,
                                                   karg.StrideA,
                                                   karg.StrideB,
                                                   karg.StrideC,
                                                   karg.block_mapping);
             }
             else if constexpr(GridwiseGemm::Block2CTileMap::ReductionStrategy ==
                               StreamKReductionStrategy::Reduction)
             {
                 char* workspace_semaphore = reinterpret_cast<char*>(karg.p_workspace_) +
                                             karg.block_mapping.get_workspace_size_for_acc(
                                                 sizeof(typename GridwiseGemm::FloatAcc));
                 auto preprocess = [&]() {
                     hipGetErrorString(
                         hipMemsetAsync(workspace_semaphore,
                                        0,
                                        karg.block_mapping.get_workspace_size_for_semaphore(),
                                        stream_config.stream_id_));
                 };
  
                 ave_time = launch_and_time_kernel_with_preprocess(stream_config,
                                                                   preprocess,
                                                                   kernel,
                                                                   grid_dims,
                                                                   dim3(BlockSize),
                                                                   0,
                                                                   karg.p_a_grid,
                                                                   karg.p_b_grid,
                                                                   karg.p_c_grid,
                                                                   karg.p_workspace_,
                                                                   karg.M,
                                                                   karg.N,
                                                                   karg.K,
                                                                   karg.StrideA,
                                                                   karg.StrideB,
                                                                   karg.StrideC,
                                                                   karg.block_mapping);
             }
  
             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);
         }
     };
  
     size_t GetWorkSpaceSize(const BaseArgument* pArg) const override
     {
         const Argument* p_arg = dynamic_cast<const Argument*>(pArg);
         if constexpr(GridwiseGemm::Block2CTileMap::ReductionStrategy ==
                      StreamKReductionStrategy::Reduction)
         {
             return p_arg->block_mapping.get_workspace_size(sizeof(typename GridwiseGemm::FloatAcc));
         }
         else
         {
             return 0;
         }
     }
  
     void SetWorkSpacePointer(BaseArgument* pArg,
                              void* p_workspace,
                              const StreamConfig& = StreamConfig{}) const override
     {
         Argument* pArg_ = dynamic_cast<Argument*>(pArg);
  
         pArg_->p_workspace_ = p_workspace;
     }
  
     static constexpr bool IsValidCompilationParameter()
     {
         // TODO: properly implement this check
         return true;
     }
  
     static bool IsSupportedArgument(const Argument& karg)
     {
         if(!(ck::is_xdl_supported()))
         {
             return false;
         }
         return GridwiseGemm::CheckValidity(karg);
     }
  
     // 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,
                              BElementwiseOperation,
                              CElementwiseOperation,
                              uint32_t NumSKBlocks = 0xffffffff)
     {
         const auto kernel = kernel_gemm_xdlops_streamk<GridwiseGemm>;
         int occupancy, num_cu;
         hipError_t rtn;
         rtn = hipOccupancyMaxActiveBlocksPerMultiprocessor(
             &occupancy, kernel, BlockSize, GridwiseGemm::GetSharedMemoryNumberOfByte());
         hip_check_error(rtn);
  
         hipDeviceProp_t dev_prop;
         hipDevice_t dev;
         rtn = hipGetDevice(&dev);
         hip_check_error(rtn);
         rtn = hipGetDeviceProperties(&dev_prop, dev);
         hip_check_error(rtn);
         num_cu = dev_prop.multiProcessorCount;
  
         return Argument{p_a,
                         p_b,
                         p_c,
                         M,
                         N,
                         K,
                         StrideA,
                         StrideB,
                         StrideC,
                         static_cast<uint32_t>(num_cu),
                         static_cast<uint32_t>(occupancy),
                         NumSKBlocks};
     }
  
     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,
                                                       BElementwiseOperation,
                                                       CElementwiseOperation,
                                                       index_t NumSKBlocks = 0) override
     {
         const auto kernel = kernel_gemm_xdlops_streamk<GridwiseGemm>;
         int occupancy, num_cu;
         hipError_t rtn;
         rtn = hipOccupancyMaxActiveBlocksPerMultiprocessor(
             &occupancy, kernel, BlockSize, GridwiseGemm::GetSharedMemoryNumberOfByte());
         hip_check_error(rtn);
  
         hipDeviceProp_t dev_prop;
         hipDevice_t dev;
         rtn = hipGetDevice(&dev);
         hip_check_error(rtn);
         rtn = hipGetDeviceProperties(&dev_prop, dev);
         hip_check_error(rtn);
         num_cu = dev_prop.multiProcessorCount;
  
         return std::make_unique<Argument>(reinterpret_cast<const ADataType*>(p_a),
                                           reinterpret_cast<const BDataType*>(p_b),
                                           reinterpret_cast<CDataType*>(p_c),
                                           M,
                                           N,
                                           K,
                                           StrideA,
                                           StrideB,
                                           StrideC,
                                           static_cast<uint32_t>(num_cu),
                                           static_cast<uint32_t>(occupancy),
                                           static_cast<uint32_t>(NumSKBlocks));
     }
  
     // polymorphic
     std::unique_ptr<BaseInvoker> MakeInvokerPointer() override
     {
         return std::make_unique<Invoker>(Invoker{});
     }
  
     // polymorphic
     std::string GetTypeString() const override { return GridwiseGemm::GetTypeString(); }
 };
  
 } // namespace device
 } // namespace tensor_operation
 } // namespace ck