// SPDX-License-Identifier: MIT // Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved. #pragma once #include #include #include "ck_tile/core.hpp" #include "ck_tile/ops/common.hpp" #include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_scheduler.hpp" namespace ck_tile { template struct GemmKernel { using TilePartitioner = remove_cvref_t; using GemmPipeline = remove_cvref_t; using EpiloguePipeline = remove_cvref_t; using ALayout = remove_cvref_t; using BLayout = remove_cvref_t; using CLayout = remove_cvref_t; static constexpr index_t KernelBlockSize = GemmPipeline::BlockSize; using ADataType = remove_cvref_t; using BDataType = remove_cvref_t; // using CAccDataType = remove_cvref_t; using CDataType = remove_cvref_t; __host__ static constexpr auto GridSize(index_t M, index_t N, index_t KBatch) { return TilePartitioner::GridSize(M, N, KBatch); } __host__ static constexpr auto BlockSize() { return dim3(KernelBlockSize); } struct GemmCommonKargs { const void* a_ptr; const void* b_ptr; void* c_ptr; index_t M; index_t N; index_t K; index_t stride_A; index_t stride_B; index_t stride_C; }; CK_TILE_HOST static constexpr GemmCommonKargs MakeKargs(const void* a_ptr, const void* b_ptr, void* c_ptr, index_t M, index_t N, index_t K, index_t stride_A, index_t stride_B, index_t stride_C) { return GemmCommonKargs{a_ptr, b_ptr, c_ptr, M, N, K, stride_A, stride_B, stride_C}; } CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize() { return max(GemmPipeline::GetSmemSize(), EpiloguePipeline::GetSmemSize()); } CK_TILE_DEVICE void operator()(GemmCommonKargs kargs) const { const auto [i_m, i_n] = TilePartitioner{}(); // options const ADataType* a_start = static_cast(kargs.a_ptr); const BDataType* b_start = static_cast(kargs.b_ptr); // Convert pointers to tensor views auto a_tensor_view = [&]() { if constexpr(std::is_same_v) { return make_naive_tensor_view( a_start, make_tuple(kargs.M, kargs.K), make_tuple(kargs.stride_A, 1), number{}, number<1>{}); } else { return make_naive_tensor_view( a_start, make_tuple(kargs.M, kargs.K), make_tuple(1, kargs.stride_A), number<1>{}, number<1>{}); } }(); auto b_tensor_view = [&]() { if constexpr(std::is_same_v) { return make_naive_tensor_view( b_start, make_tuple(kargs.N, kargs.K), make_tuple(1, kargs.stride_B), number<1>{}, number<1>{}); } else { return make_naive_tensor_view( b_start, make_tuple(kargs.N, kargs.K), make_tuple(kargs.stride_B, 1), number{}, number<1>{}); } }(); auto a_pad_view = pad_tensor_view( a_tensor_view, make_tuple(number{}, number{}), // somehow clang-format is splitting below line into multiple. // clang-format off sequence{}); // clang-format on auto a_block_window = make_tile_window( a_pad_view, make_tuple(number{}, number{}), {i_m, 0}); auto b_pad_view = pad_tensor_view( b_tensor_view, make_tuple(number{}, number{}), // clang-format off sequence{}); // clang-format on auto b_block_window = make_tile_window( b_pad_view, make_tuple(number{}, number{}), {i_n, 0}); // allocate LDS __shared__ char smem_ptr[GetSmemSize()]; const index_t num_loop = TilePartitioner::GetLoopNum(kargs.K); // Run GEMM cooperatively by whole wokrgroup. auto c_block_tile = GemmPipeline{}.template operator()(a_block_window, b_block_window, num_loop, smem_ptr); CDataType* c_start = static_cast(kargs.c_ptr); auto c_tensor_view = [&]() { if constexpr(std::is_same_v) { return make_naive_tensor_view( c_start, make_tuple(kargs.M, kargs.N), make_tuple(kargs.stride_C, 1), number{}, number<1>{}); } else { return make_naive_tensor_view( c_start, make_tuple(kargs.M, kargs.N), make_tuple(1, kargs.stride_C), number<1>{}, number<1>{}); } }(); auto c_pad_view = pad_tensor_view( c_tensor_view, make_tuple(number{}, number{}), // clang-format off sequence{}); // clang-format on auto c_block_window = make_tile_window( c_pad_view, make_tuple(number{}, number{}), {i_m, i_n}); EpiloguePipeline{}(c_block_window, c_block_tile); } }; } // namespace ck_tile