mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-03-25 09:37:42 +00:00
e339101e9c
* initial poc * factor out common parts in operator() * cv4 * rest of the universal gemm pipelines * fix test * remove boilerplate from tile engine * fix example * fix example * format * fix tests build for gemm * remove base pipeline codegen from gemm instance builder * unify v3 logic with the rest of universal gemm pipelines * fix build for multi abd test * fix test gemm multi d * fix build for weight preshuffle * fix grouped gemm test * fix grouped gemm multi d test * fix grouped gemm preshuffle * fix grouped gemm example except for quant * fix gemm preshuffle * fix splitk 2 stage example * fix batched gemm example * fix multid example * fix multiabd example * fix batched gemm test * fixup * fix examples build * fix grouped gemm test build * fix smoke builder * hacky poc * fix tile engine * kill the lambda * maybe fix test build * more fixes * clang-format * save temp * clang-format * mostly fix examples * clang-format * remove dead code * more cleanup * fix fmha bwd build (default epilogue set/add appears to be broken) * fix default epilogue tests but not correctness * clang-format * fix bquant * clang-format * cleanup dead code * rearrange make windows for readability * restore changes to IsSupportedArgument * fix smoke-builder * clang-format * fixup rename class * build fixes * clang-format * fix builder * fixup * remove set from builder tests * fix test * clang-format * re-refactor the kernels * clang-format * fix header license * remove memory operation from conv bwd test * clang-format * clang-format example,include * clang-format test * build fixes * clang-format * solve compilation error * fix the CI * solve compilation error * clang format * solve merge conflict * solve merge conflict * solve the gfx11 error * solve test error * moar build fixes * remove AtomicAddRequiresKBatchGreaterThanOne test since the property is removed from the kernel scope --------- Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>
294 lines
13 KiB
C++
294 lines
13 KiB
C++
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
|
// SPDX-License-Identifier: MIT
|
|
|
|
#include <hip/hip_runtime.h>
|
|
|
|
#include <cstring>
|
|
#include <iostream>
|
|
#include <ostream>
|
|
#include <string>
|
|
#include <tuple>
|
|
#include <memory>
|
|
|
|
#include "ck_tile/core.hpp"
|
|
#include "ck_tile/ops/epilogue.hpp"
|
|
#include "ck_tile/ops/gemm.hpp"
|
|
#include "ck_tile/host.hpp"
|
|
#include "grouped_gemm.hpp"
|
|
|
|
template <typename GemmConfig,
|
|
typename ADataType,
|
|
typename BDataType,
|
|
typename DsDataType,
|
|
typename AccDataType,
|
|
typename CDataType,
|
|
typename ALayout,
|
|
typename BLayout,
|
|
typename DsLayout,
|
|
typename CLayout,
|
|
typename CDEElementWise = ck_tile::element_wise::PassThrough>
|
|
float grouped_gemm(const std::vector<grouped_gemm_kargs>& gemm_descs,
|
|
const ck_tile::stream_config& s,
|
|
void* kargs_ptr)
|
|
{
|
|
|
|
using GemmShape = ck_tile::TileGemmShape<
|
|
ck_tile::sequence<GemmConfig::M_Tile, GemmConfig::N_Tile, GemmConfig::K_Tile>,
|
|
ck_tile::sequence<GemmConfig::M_Warp, GemmConfig::N_Warp, GemmConfig::K_Warp>,
|
|
ck_tile::
|
|
sequence<GemmConfig::M_Warp_Tile, GemmConfig::N_Warp_Tile, GemmConfig::K_Warp_Tile>>;
|
|
using TilePartitioner =
|
|
ck_tile::GemmSpatiallyLocalTilePartitioner<GemmShape,
|
|
GemmConfig::TileParitionerGroupNum,
|
|
GemmConfig::TileParitionerM01>;
|
|
|
|
using GemmUniversalTraits = ck_tile::TileGemmUniversalTraits<GemmConfig::kPadM,
|
|
GemmConfig::kPadN,
|
|
GemmConfig::kPadK,
|
|
GemmConfig::DoubleSmemBuffer,
|
|
ALayout,
|
|
BLayout,
|
|
CLayout,
|
|
GemmConfig::TransposeC>;
|
|
|
|
constexpr auto scheduler = GemmConfig::Scheduler;
|
|
|
|
using UniversalGemmProblem = ck_tile::UniversalGemmPipelineProblem<ADataType,
|
|
BDataType,
|
|
AccDataType,
|
|
GemmShape,
|
|
GemmUniversalTraits,
|
|
scheduler>;
|
|
|
|
using GemmPipeline = typename PipelineTypeTraits<GemmConfig::Pipeline>::template GemmPipeline<
|
|
UniversalGemmProblem>;
|
|
|
|
using GemmEpilogue = ck_tile::CShuffleEpilogue<
|
|
ck_tile::CShuffleEpilogueProblem<ADataType,
|
|
BDataType,
|
|
DsDataType,
|
|
AccDataType,
|
|
CDataType,
|
|
DsLayout,
|
|
CLayout,
|
|
CDEElementWise,
|
|
TilePartitioner::MPerBlock,
|
|
TilePartitioner::NPerBlock,
|
|
GemmConfig::M_Warp,
|
|
GemmConfig::N_Warp,
|
|
GemmConfig::M_Warp_Tile,
|
|
GemmConfig::N_Warp_Tile,
|
|
GemmConfig::K_Warp_Tile,
|
|
UniversalGemmProblem::TransposeC>>;
|
|
using Kernel = ck_tile::GroupedGemmKernel<TilePartitioner, GemmPipeline, GemmEpilogue>;
|
|
auto kargs = Kernel::MakeKargs(gemm_descs);
|
|
if(!Kernel::IsSupportedArgument(kargs))
|
|
{
|
|
throw std::runtime_error("Kernel arguments not supported!");
|
|
}
|
|
|
|
const dim3 blocks = Kernel::BlockSize();
|
|
const dim3 grids = Kernel::GridSize(gemm_descs);
|
|
|
|
HIP_CHECK_ERROR(hipMemcpyWithStream(kargs_ptr,
|
|
kargs.data(),
|
|
get_workspace_size(gemm_descs),
|
|
hipMemcpyHostToDevice,
|
|
s.stream_id_));
|
|
|
|
if(s.log_level_ > 0)
|
|
{
|
|
std::cout << "Launching kernel: " << Kernel::GetName() << " with args:" << " grid: {"
|
|
<< grids.x << ", " << grids.y << ", " << grids.z << "}" << ", blocks: {"
|
|
<< blocks.x << ", " << blocks.y << ", " << blocks.z << "}" << std::endl;
|
|
}
|
|
|
|
return ck_tile::launch_kernel(s,
|
|
ck_tile::make_kernel<GemmConfig::kBlockPerCu>(
|
|
Kernel{},
|
|
grids,
|
|
blocks,
|
|
0,
|
|
ck_tile::cast_pointer_to_constant_address_space(kargs_ptr),
|
|
gemm_descs.size()));
|
|
}
|
|
|
|
template <typename GemmConfig,
|
|
typename ALayout,
|
|
typename BLayout,
|
|
typename CLayout,
|
|
typename ADataType,
|
|
typename BDataType,
|
|
typename AccDataType,
|
|
typename CDataType>
|
|
float grouped_gemm_tileloop(const ck_tile::stream_config& s,
|
|
const ck_tile::index_t num_groups,
|
|
void* kargs_ptr)
|
|
{
|
|
using GemmShape = ck_tile::TileGemmShape<
|
|
ck_tile::sequence<GemmConfig::M_Tile, GemmConfig::N_Tile, GemmConfig::K_Tile>,
|
|
ck_tile::sequence<GemmConfig::M_Warp, GemmConfig::N_Warp, GemmConfig::K_Warp>,
|
|
ck_tile::
|
|
sequence<GemmConfig::M_Warp_Tile, GemmConfig::N_Warp_Tile, GemmConfig::K_Warp_Tile>>;
|
|
using TilePartitioner =
|
|
ck_tile::GemmSpatiallyLocalTilePartitioner<GemmShape,
|
|
GemmConfig::TileParitionerGroupNum,
|
|
GemmConfig::TileParitionerM01>;
|
|
|
|
using GemmUniversalTraits =
|
|
ck_tile::PersistentTileGemmUniversalTraits<GemmConfig::kPadM,
|
|
GemmConfig::kPadN,
|
|
GemmConfig::kPadK,
|
|
GemmConfig::DoubleSmemBuffer,
|
|
ALayout,
|
|
BLayout,
|
|
CLayout>;
|
|
|
|
constexpr auto scheduler = GemmConfig::Scheduler;
|
|
|
|
// We create the GEMM pipeline without specifying hotloop or tailnumber.
|
|
// These are automatically run inside the kernel based on the given input data.
|
|
using UniversalGemmProblem = ck_tile::UniversalGemmPipelineProblem<ADataType,
|
|
BDataType,
|
|
AccDataType,
|
|
GemmShape,
|
|
GemmUniversalTraits,
|
|
scheduler>;
|
|
|
|
using GemmPipeline = typename PipelineTypeTraits<GemmConfig::Pipeline>::template GemmPipeline<
|
|
UniversalGemmProblem>;
|
|
using GemmEpilogue = ck_tile::CShuffleEpilogue<
|
|
ck_tile::CShuffleEpilogueProblem<ADataType,
|
|
BDataType,
|
|
ck_tile::tuple<>,
|
|
AccDataType,
|
|
CDataType,
|
|
ck_tile::tuple<>,
|
|
CLayout,
|
|
ck_tile::element_wise::PassThrough,
|
|
TilePartitioner::MPerBlock,
|
|
TilePartitioner::NPerBlock,
|
|
GemmConfig::M_Warp,
|
|
GemmConfig::N_Warp,
|
|
GemmConfig::M_Warp_Tile,
|
|
GemmConfig::N_Warp_Tile,
|
|
GemmConfig::K_Warp_Tile,
|
|
UniversalGemmProblem::TransposeC>>;
|
|
using Kernel = ck_tile::GroupedGemmKernel<TilePartitioner, GemmPipeline, GemmEpilogue>;
|
|
const dim3 blocks = Kernel::BlockSize();
|
|
const dim3 grids = Kernel::MaxOccupancyGridSize(s);
|
|
|
|
if(s.log_level_ > 0)
|
|
{
|
|
std::cout << "Launching kernel: " << Kernel::GetName() << " with args:" << " grid: {"
|
|
<< grids.x << ", " << grids.y << ", " << grids.z << "}" << ", blocks: {"
|
|
<< blocks.x << ", " << blocks.y << ", " << blocks.z << "}" << std::endl;
|
|
}
|
|
|
|
return ck_tile::launch_kernel(s,
|
|
ck_tile::make_kernel<GemmConfig::kBlockPerCu>(
|
|
Kernel{},
|
|
grids,
|
|
blocks,
|
|
0,
|
|
ck_tile::cast_pointer_to_constant_address_space(kargs_ptr),
|
|
num_groups));
|
|
}
|
|
|
|
#include "run_grouped_gemm_example.inc"
|
|
|
|
template <typename GemmConfig, typename PrecType>
|
|
int run_gemm_example_prec_type(std::string a_layout, std::string b_layout, int argc, char* argv[])
|
|
{
|
|
using Row = ck_tile::tensor_layout::gemm::RowMajor;
|
|
using Col = ck_tile::tensor_layout::gemm::ColumnMajor;
|
|
using Types = GemmTypeConfig<PrecType>;
|
|
// Specific type aliases for easy access
|
|
using ADataType = typename Types::ADataType;
|
|
using BDataType = typename Types::BDataType;
|
|
using AccDataType = typename Types::AccDataType;
|
|
using CDataType = typename Types::CDataType;
|
|
|
|
if(a_layout == "R" && b_layout == "C")
|
|
{
|
|
return run_grouped_gemm_example_with_layouts<GemmConfig,
|
|
ADataType,
|
|
BDataType,
|
|
CDataType,
|
|
AccDataType>(argc, argv, Row{}, Col{}, Row{});
|
|
}
|
|
else if(a_layout == "R" && b_layout == "R")
|
|
{
|
|
return run_grouped_gemm_example_with_layouts<GemmConfig,
|
|
ADataType,
|
|
BDataType,
|
|
CDataType,
|
|
AccDataType>(argc, argv, Row{}, Row{}, Row{});
|
|
}
|
|
else if(a_layout == "C" && b_layout == "R")
|
|
{
|
|
return run_grouped_gemm_example_with_layouts<GemmConfig,
|
|
ADataType,
|
|
BDataType,
|
|
CDataType,
|
|
AccDataType>(argc, argv, Col{}, Row{}, Row{});
|
|
}
|
|
else if(a_layout == "C" && b_layout == "C")
|
|
{
|
|
return run_grouped_gemm_example_with_layouts<GemmConfig,
|
|
ADataType,
|
|
BDataType,
|
|
CDataType,
|
|
AccDataType>(argc, argv, Col{}, Col{}, Row{});
|
|
}
|
|
else
|
|
{
|
|
throw std::runtime_error("Unsupported data layout configuration for A and B tensors!");
|
|
}
|
|
}
|
|
|
|
template <template <typename PrecType> typename GemmConfig>
|
|
int run_grouped_gemm_example(int argc, char* argv[])
|
|
{
|
|
auto [result, arg_parser] = create_args(argc, argv);
|
|
if(!result)
|
|
{
|
|
return -1;
|
|
}
|
|
|
|
const std::string a_layout = arg_parser.get_str("a_layout");
|
|
const std::string b_layout = arg_parser.get_str("b_layout");
|
|
const std::string data_type = arg_parser.get_str("prec");
|
|
|
|
if(data_type == "fp16")
|
|
{
|
|
return run_gemm_example_prec_type<GemmConfig<ck_tile::half_t>, ck_tile::half_t>(
|
|
a_layout, b_layout, argc, argv);
|
|
}
|
|
else if(data_type == "bf16")
|
|
{
|
|
return run_gemm_example_prec_type<GemmConfig<ck_tile::bf16_t>, ck_tile::bf16_t>(
|
|
a_layout, b_layout, argc, argv);
|
|
}
|
|
else if(data_type == "fp8")
|
|
{
|
|
return run_gemm_example_prec_type<GemmConfig<ck_tile::fp8_t>, ck_tile::fp8_t>(
|
|
a_layout, b_layout, argc, argv);
|
|
}
|
|
else
|
|
{
|
|
throw std::runtime_error("Unsupported data type configuration.");
|
|
}
|
|
}
|
|
|
|
int main(int argc, char* argv[])
|
|
{
|
|
#if CK_TILE_USE_WMMA
|
|
return !run_grouped_gemm_example<GemmConfigComputeV4_Wmma>(argc, argv);
|
|
#else
|
|
return !run_grouped_gemm_example<GemmConfigComputeV4>(argc, argv) ||
|
|
!run_grouped_gemm_example<GemmConfigComputeV3_2>(argc, argv) ||
|
|
!run_grouped_gemm_example<GemmConfigComputeV4_V2>(argc, argv);
|
|
#endif
|
|
}
|