mirror of
https://github.com/ROCm/composable_kernel.git
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4d041837ad
* Adding RapidJson Library * Adding Json Dumps in all CK_Tile Examples Not verified yet * Adding json to cktile Batched Transpose * adding json dumps to layernorm2d_fwd * Adding json dump to flatmm_basic * Adding RapidJson Library * Adding Json Dumps in all CK_Tile Examples Not verified yet * Adding json to cktile Batched Transpose * adding json dumps to layernorm2d_fwd * Adding json dump to flatmm_basic * Adding json in 03_gemm * Add json dump to 16_batched_gemm * Add json dump to gemm_multi_d_fp16 * Add json dump to grouped_gemm * fix fmha_bwd/fwd * Fix clang-format errors exclude include/rapidjson in jenkins as its a third-party library * Saparating function and defination. * Update Documentation of 03_gemm * Refactoring as per code review * Disable fp8 instances on unsupported targets (#2592) * Restrict building of gemm_universal_preshuffle_f8 instances to specific targets in CMakeLists.txt * Add condition to skip gemm_xdl_universal_preshuffle_f8 instances for unsupported targets in CMakeLists.txt * Add conditions to skip unsupported targets for gemm_universal_preshuffle_f8 and gemm_xdl_universal_preshuffle_f8 instances in CMakeLists.txt * Refine conditions to exclude gemm_universal_preshuffle_f8 instances for unsupported targets in CMakeLists.txt --------- Co-authored-by: AviralGoelAMD <aviralgoel@amd.com> * fix clang format * remove duplicate lines of code from library/src/tensor_operation_instance/gpu/CMakeLists.txt * Fixing Readme and unifying jsondumps * adding moe_smoothquant * adding fused_moe * Fixing Readme for batched_gemm * Fixing Readme for grouped_gemm * adding flatmm * adding gemm_multi_d_fp16 * adding elementwise * adding File name when json is dumped * Fixing Reduce after merge * adding batched_transpose * Adding Warptile in Gemm * Fixing Clang Format --------- Co-authored-by: Aviral Goel <aviral.goel@amd.com> Co-authored-by: AviralGoelAMD <aviralgoel@amd.com> Co-authored-by: illsilin_amdeng <Illia.Silin@amd.com>
194 lines
5.9 KiB
C++
194 lines
5.9 KiB
C++
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// SPDX-License-Identifier: MIT
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// Copyright (c) 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/epilogue.hpp"
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#include "ck_tile/ops/flatmm.hpp"
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#include "ck_tile/ops/gemm.hpp"
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// GEMM config with 32x132 warp tile
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template <typename DataType>
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struct FlatmmConfig32
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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(DataType);
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static constexpr ck_tile::index_t M_Warp = 1;
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static constexpr ck_tile::index_t N_Warp = 4;
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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 = sizeof(DataType) == 2 ? 16 : 32;
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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 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 int TileParitionerGroupNum = 8;
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static constexpr int TileParitionerM01 = 4;
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static constexpr auto Scheduler = ck_tile::GemmPipelineScheduler::Default;
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static constexpr ck_tile::index_t NumWaveGroups = 1;
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static constexpr bool DoubleSmemBuffer = false;
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static constexpr bool TiledMMAPermuteN = false; // disable PermuteN when NWarpTile != 16
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};
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template <typename DataType>
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struct FlatmmConfig32_950 : public FlatmmConfig32<DataType>
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{
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static constexpr ck_tile::index_t K_Warp_Tile = sizeof(DataType) == 2 ? 16 : 64;
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};
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// GEMM config with 16x16 warp tile
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template <typename DataType>
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struct FlatmmConfig16
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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(DataType);
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static constexpr ck_tile::index_t M_Warp = 1;
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static constexpr ck_tile::index_t N_Warp = 4;
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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 = 16;
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static constexpr ck_tile::index_t N_Warp_Tile = 16;
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static constexpr ck_tile::index_t K_Warp_Tile = sizeof(DataType) == 2 ? 32 : 64;
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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 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 int TileParitionerGroupNum = 8;
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static constexpr int TileParitionerM01 = 4;
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static constexpr auto Scheduler = ck_tile::GemmPipelineScheduler::Default;
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static constexpr ck_tile::index_t NumWaveGroups = 1;
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static constexpr bool DoubleSmemBuffer = false;
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static constexpr int N_Repeat = N_Tile / N_Warp_Tile / N_Warp;
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static constexpr bool TiledMMAPermuteN = N_Repeat % 2 == 0;
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};
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template <typename DataType>
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struct FlatmmConfig16_950 : public FlatmmConfig16<DataType>
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{
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static constexpr ck_tile::index_t N_Tile = 256;
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static constexpr ck_tile::index_t K_Tile = 256 / sizeof(DataType);
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static constexpr ck_tile::index_t K_Warp_Tile = sizeof(DataType) == 2 ? 32 : 128;
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static constexpr int kBlockPerCu = 1;
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static constexpr int N_Repeat =
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N_Tile / FlatmmConfig16<DataType>::N_Warp_Tile / FlatmmConfig16<DataType>::N_Warp;
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static constexpr bool TiledMMAPermuteN = N_Repeat % 2 == 0;
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};
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template <typename ADataType>
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struct GemmBasicTypeConfig;
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template <>
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struct GemmBasicTypeConfig<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 AccDataType = float;
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using CDataType = ck_tile::half_t;
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// ToDo: Add more bias config to support different categories of GEMM.
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};
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template <>
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struct GemmBasicTypeConfig<ck_tile::bf16_t>
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{
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using ADataType = ck_tile::bf16_t;
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using BDataType = ck_tile::bf16_t;
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using AccDataType = float;
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using CDataType = ck_tile::bf16_t;
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};
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template <>
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struct GemmBasicTypeConfig<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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// ToDo: Add more bias config to support different categories of GEMM.
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};
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template <>
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struct GemmBasicTypeConfig<ck_tile::bf8_t>
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{
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using ADataType = ck_tile::bf8_t;
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using BDataType = ck_tile::bf8_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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template <typename T>
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struct DataTypeTraits;
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template <>
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struct DataTypeTraits<ck_tile::fp8_t>
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{
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static constexpr const char* name = "fp8";
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};
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template <>
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struct DataTypeTraits<ck_tile::bf8_t>
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{
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static constexpr const char* name = "bf8";
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};
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template <>
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struct DataTypeTraits<float>
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{
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static constexpr const char* name = "fp32";
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};
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template <>
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struct DataTypeTraits<double>
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{
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static constexpr const char* name = "fp64";
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};
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template <>
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struct DataTypeTraits<ck_tile::half_t>
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{
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static constexpr const char* name = "fp16";
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};
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template <typename T>
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struct is_8bit_type
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: std::bool_constant<std::is_same_v<T, ck_tile::fp8_t> || std::is_same_v<T, ck_tile::bf8_t>>
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{
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};
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template <typename FlatmmConfig,
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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 ELayout,
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typename ScaleM,
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typename ScaleN,
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bool persistent,
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typename CDEElementWise>
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float flatmm_calc(const ck_tile::ScaleFlatmmHostArgs<ScaleM, ScaleN>& args,
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const ck_tile::stream_config& s);
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