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Composable Kernel: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-composable-kernel/checkouts/develop/include/ck/tensor_operation/gpu/grid/gridwise_gemm_waveletmodel.hpp Source File

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 // SPDX-License-Identifier: MIT
 // Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
  
 #pragma once
  
 #include "ck/utility/common_header.hpp"
  
 namespace ck {
  
 template <typename TileLoadThreadGroup, index_t NumGemmKPrefetchStage>
 struct GridwiseGemmLoadWave;
  
 // 1-stage prefetch
 template <typename TileLoadThreadGroup>
 struct GridwiseGemmLoadWave<TileLoadThreadGroup, 1>
 {
     __host__ __device__ static constexpr bool IsSupported(index_t /* num_loop */)
     {
         // TODO: improve applicability
         return true;
     }
  
     __host__ __device__ static constexpr bool CalculateHasMainLoop(index_t num_loop)
     {
         return num_loop > 1;
     }
  
     template <bool HasMainLoop,
               typename AGridDesc,
               typename ABlockDesc,
               typename ABlockTransfer,
               typename AGridBuffer,
               typename ABlockBuffer,
               typename ABlockTransferStep,
               typename BGridDesc,
               typename BBlockDesc,
               typename BBlockTransfer,
               typename BGridBuffer,
               typename BBlockBuffer,
               typename BBlockTransferStep>
     static __device__ void RunLoadWavePipeline(const AGridDesc& a_grid_desc,
                                                const ABlockDesc& a_block_desc,
                                                ABlockTransfer& a_blockwise_copy,
                                                const AGridBuffer& a_grid_buf,
                                                ABlockBuffer& a_block_buf,
                                                const ABlockTransferStep& a_block_copy_step,
                                                const BGridDesc& b_grid_desc,
                                                const BBlockDesc& b_block_desc,
                                                BBlockTransfer& b_blockwise_copy,
                                                const BGridBuffer& b_grid_buf,
                                                BBlockBuffer& b_block_buf,
                                                const BBlockTransferStep& b_block_copy_step,
                                                index_t num_loop)
     {
         // global read 0
         a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf);
         b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf);
  
         // move to 1
         a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
         b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
  
         // LDS write 0
         a_blockwise_copy.RunWrite(a_block_desc, a_block_buf);
         b_blockwise_copy.RunWrite(b_block_desc, b_block_buf);
  
         if constexpr(HasMainLoop)
         {
             index_t i = 0;
  
             do
             {
                 // sync for Load threads()
                 block_sync_lds();
                 // global read i + 1
                 a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf);
                 b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf);
  
                 // move to i + 2
                 a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
                 b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
  
                 // sync with math threads()
                 block_sync_lds();
  
                 // LDS write i+1
                 a_blockwise_copy.RunWrite(a_block_desc, a_block_buf);
                 b_blockwise_copy.RunWrite(b_block_desc, b_block_buf);
  
                 ++i;
             } while(i < (num_loop - 1));
         }
  
         // tail
         {
             block_sync_lds();
             // GEMM num_loop - 1
         }
     }
 };
  
 template <typename TileMathThreadGroup, index_t NumGemmKPrefetchStage>
 struct GridwiseGemmMathWave;
 // 1- stage prefetch
 template <typename TileMathThreadGroup>
 struct GridwiseGemmMathWave<TileMathThreadGroup, 1>
 {
  
     __host__ __device__ static constexpr bool IsSupported(index_t /* num_loop */) { return true; }
  
     __host__ __device__ static constexpr bool CalculateHasMainLoop(index_t num_loop)
     {
         return num_loop > 1;
     }
  
     template <bool HasMainLoop,
               typename ABlockBuffer,
               typename BBlockBuffer,
               typename BlockwiseGemm,
               typename CThreadBuffer>
     static __device__ void RunMathWavePipeline(ABlockBuffer& a_block_buf,
                                                BBlockBuffer& b_block_buf,
                                                const BlockwiseGemm& block_gemm,
                                                CThreadBuffer& c_thread_buf,
                                                index_t num_loop)
     {
         // Initialize C
         c_thread_buf.Clear();
  
         // main body
         if constexpr(HasMainLoop)
         {
             index_t i = 0;
  
             do
             {
                 block_sync_lds();
  
                 // GEMM i
                 block_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
  
                 block_sync_lds();
                 ++i;
             } while(i < (num_loop - 1));
         }
  
         // tail
         {
             block_sync_lds();
  
             // GEMM num_loop - 1
             block_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
         }
     }
 };
  
 } // namespace ck