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https://github.com/ROCm/composable_kernel.git
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cbfecf8d7a
* enable the persistent kernel for CompV4 * polish the example and clang format * fix the non-persistent kernel error --------- Co-authored-by: ThomasNing <thomasning@amd.com>
106 lines
4.0 KiB
C++
106 lines
4.0 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include <string>
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#include "ck_tile/core.hpp"
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#include "ck_tile/host/kernel_launch.hpp"
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#include "ck_tile/ops/gemm.hpp"
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#include "ck_tile/ops/elementwise/unary_element_wise_operation.hpp"
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#define CK_TILE_PIPELINE_COMPUTE_V3 1
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#define CK_TILE_PIPELINE_MEMORY 2
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#define CK_TILE_PIPELINE_COMPUTE_V4 3
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#ifndef CK_TILE_PIPELINE_DEFAULT
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#define CK_TILE_PIPELINE_DEFAULT CK_TILE_PIPELINE_COMPUTE_V4
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#endif
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#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_MEMORY)
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#define GEMM_PIPELINE ck_tile::GemmPipelineAgBgCrMem
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#define UNIVERSAL_GEMM_PIPELINE ck_tile::BaseGemmPipelineAgBgCrMem
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#define GEMM_PIPELINE_SCHEDULER ck_tile::GemmPipelineScheduler::Interwave
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#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V3)
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#define GEMM_PIPELINE ck_tile::GemmPipelineAgBgCrCompV3
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#define UNIVERSAL_GEMM_PIPELINE ck_tile::BaseGemmPipelineAgBgCrCompV3
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#define GEMM_PIPELINE_SCHEDULER ck_tile::GemmPipelineScheduler::Intrawave
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#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V4)
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#define GEMM_PIPELINE ck_tile::GemmPipelineAgBgCrCompV4
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#define UNIVERSAL_GEMM_PIPELINE ck_tile::BaseGemmPipelineAgBgCrCompV4
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#define GEMM_PIPELINE_SCHEDULER ck_tile::GemmPipelineScheduler::Intrawave
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#else
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#error "unsupported CK_TILE_PIPELINE_DEFAULT value"
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#endif
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template <typename DataType>
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struct GemmTypeConfig;
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template <>
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struct GemmTypeConfig<ck_tile::half_t>
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{
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using ADataType = ck_tile::half_t;
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using BDataType = ck_tile::half_t;
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using CDataType = ck_tile::half_t;
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using AccDataType = float;
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};
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using Types = GemmTypeConfig<ck_tile::half_t>;
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// Specific type aliases for easy access
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using ADataType = Types::ADataType;
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using BDataType = Types::BDataType;
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using AccDataType = Types::AccDataType;
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using CDataType = Types::CDataType;
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using grouped_gemm_kargs = ck_tile::GroupedGemmHostArgs;
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auto create_args(int argc, char* argv[])
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{
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ck_tile::ArgParser arg_parser;
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arg_parser.insert("Ms", "", "M dimensions - empty by default.")
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.insert("Ns", "", "N dimensions - empty by default.")
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.insert("Ks", "", "K dimensions - empty by default.")
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.insert("stride_As", "", "Tensor A strides - it is empty by default.")
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.insert("stride_Bs", "", "Tensor B strides - it is empty by default.")
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.insert("stride_Cs", "", "Tensor C strides - it is empty by default.")
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.insert("a_layout", "R", "A tensor data layout - Row by default.")
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.insert("b_layout", "C", "B tensor data layout - Row by default.")
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.insert("c_layout", "R", "C tensor data layout - Row by default.")
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.insert("validate", "1", "0. No validation, 1. Validation on CPU.")
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.insert("warmup", "10", "number of iterations before benchmark the kernel.")
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.insert("repeat", "100", "number of iterations to benchmark the kernel.")
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.insert("group_count", "8", "group count.")
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.insert("kbatch", "1", "kbatch for SplitK");
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bool result = arg_parser.parse(argc, argv);
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return std::make_tuple(result, arg_parser);
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}
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inline std::size_t get_workspace_size(const std::vector<grouped_gemm_kargs>& gemm_descs)
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{
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return gemm_descs.size() * sizeof(ck_tile::GemmTransKernelArg);
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}
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template <typename ADataType,
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typename BDataType,
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typename DsDataType,
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typename AccDataType,
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typename CDataType,
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typename ALayout,
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typename BLayout,
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typename DsLayout,
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typename CLayout,
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bool Persistent,
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typename CDEElementWise>
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float grouped_gemm(const std::vector<grouped_gemm_kargs>& gemm_descs,
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const ck_tile::stream_config& s,
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void* kargs_ptr);
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template <typename ALayout, typename BLayout, typename CLayout>
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float grouped_gemm_tileloop(const ck_tile::stream_config& s,
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const ck_tile::index_t num_groups,
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void* kargs_ptr,
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bool splitk = false);
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