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0f42a92fc1
* Finish the grouped gemm restructure with data type * restore gemm_utils.hpp * Update example/ck_tile/17_grouped_gemm/run_grouped_gemm_example.inc Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Comment Addressed --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
212 lines
7.3 KiB
C++
212 lines
7.3 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_V3
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#endif
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template <typename PrecType, ck_tile::index_t M_Warp_Tile>
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constexpr ck_tile::index_t get_k_warp_tile()
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{
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#if defined(CK_GFX950_SUPPORT)
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constexpr bool is_8bit_float =
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std::is_same_v<PrecType, ck_tile::fp8_t> || std::is_same_v<PrecType, ck_tile::bf8_t>;
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if constexpr(M_Warp_Tile == 32)
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return is_8bit_float ? 64 : 16;
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else
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return is_8bit_float ? 128 : 32;
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#else
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if constexpr(M_Warp_Tile == 32)
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return 16;
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else
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return 32;
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#endif
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}
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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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template <>
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struct GemmTypeConfig<ck_tile::fp8_t>
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{
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using ADataType = ck_tile::fp8_t;
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using BDataType = ck_tile::fp8_t;
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using AccDataType = float;
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using CDataType = ck_tile::half_t;
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};
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struct GemmConfigBase
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{
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static constexpr bool kPadM = false;
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static constexpr bool kPadN = false;
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static constexpr bool kPadK = false;
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static constexpr bool PermuteA = false;
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static constexpr bool PermuteB = false;
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static constexpr bool TransposeC = false;
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static constexpr bool UseStructuredSparsity = false;
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static constexpr int kBlockPerCu = 1;
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static constexpr ck_tile::index_t TileParitionerGroupNum = 8;
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static constexpr ck_tile::index_t TileParitionerM01 = 4;
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static constexpr auto Scheduler = ck_tile::GemmPipelineScheduler::Intrawave;
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static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V3;
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static constexpr ck_tile::index_t NumWaveGroups = 1;
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static constexpr bool Preshuffle = false;
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};
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template <typename PrecType>
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struct GemmConfigComputeV3_2 : public GemmConfigBase
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{
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static constexpr ck_tile::index_t M_Tile = 128;
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static constexpr ck_tile::index_t N_Tile = 128;
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static constexpr ck_tile::index_t K_Tile = 128 / sizeof(PrecType);
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static constexpr ck_tile::index_t M_Warp = 2;
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static constexpr ck_tile::index_t N_Warp = 2;
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static constexpr ck_tile::index_t K_Warp = 1;
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static constexpr ck_tile::index_t M_Warp_Tile = 32;
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static constexpr ck_tile::index_t N_Warp_Tile = 32;
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static constexpr ck_tile::index_t K_Warp_Tile = get_k_warp_tile<PrecType, M_Warp_Tile>();
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static constexpr bool DoubleSmemBuffer = false;
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static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V3;
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static constexpr int kBlockPerCu = 1;
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};
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template <typename PrecType>
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struct GemmConfigComputeV4 : public GemmConfigBase
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{
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// Compute V4 only support Intrawave scheduler
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// Using the ping pong reader in the lds level
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static constexpr ck_tile::index_t M_Tile = 128;
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static constexpr ck_tile::index_t N_Tile = 128;
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static constexpr ck_tile::index_t K_Tile = 128 / sizeof(PrecType);
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static constexpr ck_tile::index_t M_Warp = 2;
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static constexpr ck_tile::index_t N_Warp = 2;
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static constexpr ck_tile::index_t K_Warp = 1;
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static constexpr ck_tile::index_t M_Warp_Tile = 32;
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static constexpr ck_tile::index_t N_Warp_Tile = 32;
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static constexpr ck_tile::index_t K_Warp_Tile = get_k_warp_tile<PrecType, M_Warp_Tile>();
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static constexpr bool DoubleSmemBuffer = true;
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static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V4;
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static constexpr int kBlockPerCu = 2;
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};
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template <ck_tile::index_t PipelineId>
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struct PipelineTypeTraits;
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template <>
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struct PipelineTypeTraits<CK_TILE_PIPELINE_MEMORY>
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{
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template <typename PipelineProblem>
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using GemmPipeline = ck_tile::GemmPipelineAgBgCrMem<PipelineProblem>;
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template <typename PipelineProblem>
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using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrMem<PipelineProblem>;
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};
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template <>
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struct PipelineTypeTraits<CK_TILE_PIPELINE_COMPUTE_V3>
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{
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template <typename PipelineProblem>
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using GemmPipeline = ck_tile::GemmPipelineAgBgCrCompV3<PipelineProblem>;
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template <typename PipelineProblem>
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using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrCompV3<PipelineProblem>;
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};
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template <>
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struct PipelineTypeTraits<CK_TILE_PIPELINE_COMPUTE_V4>
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{
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template <typename PipelineProblem>
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using GemmPipeline = ck_tile::GemmPipelineAgBgCrCompV4<PipelineProblem>;
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template <typename PipelineProblem>
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using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrCompV4<PipelineProblem>;
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};
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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("prec", "fp16", "data type. fp16/bf16/fp8/bf8")
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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 GemmConfig,
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typename ALayout,
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typename BLayout,
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typename CLayout,
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typename ADataType,
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typename BDataType,
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typename AccDataType,
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typename CDataType>
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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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