mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-03 13:11:25 +00:00
1acd8e041c
* Fix a typo * Use std::variant to call run_gemm_example_with_layouts with the available layout variant combinations * Use a unified run_gemm_example_prec_type for basic gemm and universal gemm * Factor out run_gemm_example_prec_type * Refactor argument parsing in gemm_splitk_two_stage_reduce.cpp * Parse arguments outside of create_args * Move the gemm operators to separate structs to facilitate their reuse * Move the invokers to separate files to facilitate their reuse * Rename the invoker files for consistency with the examples that use them * Add fp32 support to the elementwise examples, and produce an error message for unsupported types * Get rid of four unused variables * Make two variables const * Add support for different input-output type combinations in elementwise examples * Test support for different input and output types in elementwise examples * Add support for different operations in the elementwise unary tests * Add support for UnaryConvert in the elementwise unary tests * Add support for bf16 in elementwise examples, excluding unsupported type combinations * Make some operator parameters const in ElementWiseKernel * Remove some unnecessary include statements * Implement a two-stage GEMM that does a type conversion in the second stage using the elementwise kernel * Clear workspace instead of output when flushing the cache in SplitKTwoStageInvoker::gemm * Fix formatting issues reported by clang * Add back CK_TILE_USE_WMMA related changes * Use the right prec type for bf16 in the universal GEMM and two stage split K examples * Add some brackets * Add some brackets * Separate the clearing of the GEMM output memory from the cache flushing in the universal GEMM example * Separate the clearing of the GEMM output memory from the cache flushing in the split K two stage example * Fix formatting * No need to call SetZero on ws_m_n_dev_buf here, as clear_gemm_output now does this as part of the kernel preprocessing * Add fp16 data type to splitk two stage example * Add preprocessing with optional cache flushing and clearing of output for k_batch > 1 to the basic GEMM example
177 lines
7.5 KiB
C++
177 lines
7.5 KiB
C++
// SPDX-License-Identifier: MIT
|
|
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
|
|
#pragma once
|
|
|
|
#include "gemm_utils.hpp"
|
|
|
|
struct BasicInvoker
|
|
{
|
|
template <typename GemmConfig,
|
|
typename ADataType,
|
|
typename BDataType,
|
|
typename DsDataType,
|
|
typename AccDataType,
|
|
typename CDataType,
|
|
typename ALayout,
|
|
typename BLayout,
|
|
typename DsLayout,
|
|
typename CLayout,
|
|
bool Persistent,
|
|
typename CDEElementWise>
|
|
static float gemm(const ck_tile::GemmHostArgs& args, const ck_tile::stream_config& s)
|
|
{
|
|
if constexpr(Persistent)
|
|
{
|
|
std::cout << "WARNING: Ignoring persistent kernel option for basic gemm." << std::endl;
|
|
}
|
|
|
|
// This part comes from the Codegen
|
|
constexpr ck_tile::index_t M_Tile = 256;
|
|
constexpr ck_tile::index_t N_Tile = 256;
|
|
constexpr ck_tile::index_t K_Tile = 64;
|
|
|
|
#if CK_TILE_USE_WMMA
|
|
constexpr ck_tile::index_t M_Warp = 4;
|
|
constexpr ck_tile::index_t N_Warp = 2;
|
|
constexpr ck_tile::index_t K_Warp = 1;
|
|
|
|
constexpr ck_tile::index_t M_Warp_Tile = 16;
|
|
constexpr ck_tile::index_t N_Warp_Tile = 16;
|
|
constexpr ck_tile::index_t K_Warp_Tile = 16;
|
|
#else
|
|
constexpr ck_tile::index_t M_Warp = 2;
|
|
constexpr ck_tile::index_t N_Warp = 2;
|
|
constexpr ck_tile::index_t K_Warp = 1;
|
|
|
|
constexpr ck_tile::index_t M_Warp_Tile = 32;
|
|
constexpr ck_tile::index_t N_Warp_Tile = 32;
|
|
constexpr ck_tile::index_t K_Warp_Tile = 16;
|
|
#endif
|
|
|
|
using CodegenGemmShape =
|
|
ck_tile::TileGemmShape<ck_tile::sequence<M_Tile, N_Tile, K_Tile>,
|
|
ck_tile::sequence<M_Warp, N_Warp, K_Warp>,
|
|
ck_tile::sequence<M_Warp_Tile, N_Warp_Tile, K_Warp_Tile>>;
|
|
|
|
using TilePartitioner = ck_tile::GemmTile1DPartitioner<CodegenGemmShape>;
|
|
|
|
using CodegenGemmTraits = ck_tile::TileGemmTraits<GemmConfig::kPadM,
|
|
GemmConfig::kPadN,
|
|
GemmConfig::kPadK,
|
|
ALayout,
|
|
BLayout,
|
|
CLayout>;
|
|
|
|
using CodegenPipelineProblem = ck_tile::GemmPipelineProblem<ADataType,
|
|
BDataType,
|
|
AccDataType,
|
|
CodegenGemmShape,
|
|
CodegenGemmTraits>;
|
|
|
|
using CodegenGemmPipeline = ck_tile::GemmPipelineAGmemBGmemCRegV1<CodegenPipelineProblem>;
|
|
|
|
const auto Run = [&](const auto memory_operation_) {
|
|
constexpr auto memory_operation = memory_operation_.value;
|
|
|
|
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,
|
|
M_Warp,
|
|
N_Warp,
|
|
M_Warp_Tile,
|
|
N_Warp_Tile,
|
|
K_Warp_Tile,
|
|
CodegenPipelineProblem::TransposeC,
|
|
memory_operation>>;
|
|
|
|
// ToDo: Will add the codegen part to test different pipeline policies in GEMM.
|
|
// Now we only use the BlockGemmASmemBSmemCRegV1DefaultPolicy.
|
|
using Kernel = ck_tile::GemmKernel<TilePartitioner, CodegenGemmPipeline, GemmEpilogue>;
|
|
auto kargs = Kernel::MakeKernelArgs(args);
|
|
|
|
const dim3 grids = Kernel::GridSize(args.M, args.N, args.k_batch);
|
|
const dim3 blocks = Kernel::BlockSize();
|
|
|
|
if(!Kernel::IsSupportedArgument(kargs))
|
|
{
|
|
throw std::runtime_error("Wrong! Arguments not supported! Skipping gemm!\n");
|
|
}
|
|
|
|
if(s.log_level_ > 0)
|
|
{
|
|
std::cout << "Launching kernel with args: " << Kernel::GetName() << '\n'
|
|
<< "shape: " << CodegenGemmShape::GetName() << '\n'
|
|
<< "problem: " << CodegenPipelineProblem::GetName() << '\n'
|
|
<< "pipeline: " << CodegenGemmPipeline::GetName() << '\n'
|
|
<< "grid: {" << grids.x << ", " << grids.y << ", " << grids.z << "}"
|
|
<< ", blocks: {" << blocks.x << ", " << blocks.y << ", " << blocks.z
|
|
<< "}" << std::endl;
|
|
}
|
|
|
|
// Declare rotating_mem_ptr here so it stays in scope until it is needed
|
|
std::unique_ptr<ck_tile::RotatingMemWrapper<ADataType, BDataType>> rotating_mem_ptr;
|
|
std::function<void()> preprocess;
|
|
|
|
auto clear_gemm_output = [&]() {
|
|
if(args.k_batch > 1)
|
|
hipGetErrorString(hipMemsetAsync(
|
|
args.e_ptr, 0, args.M * args.N * sizeof(CDataType), s.stream_id_));
|
|
};
|
|
|
|
if(s.flush_cache_)
|
|
{
|
|
std::cout << "Flushing cache..." << std::endl;
|
|
|
|
ck_tile::HostTensor<ADataType> a_m(ck_tile::host_tensor_descriptor(
|
|
args.M, args.K, args.stride_A, is_row_major(ALayout{})));
|
|
ck_tile::HostTensor<BDataType> b_n(ck_tile::host_tensor_descriptor(
|
|
args.K, args.N, args.stride_B, is_row_major(BLayout{})));
|
|
|
|
auto size_a_buffer = a_m.get_element_space_size_in_bytes();
|
|
auto size_b_buffer = b_n.get_element_space_size_in_bytes();
|
|
|
|
rotating_mem_ptr =
|
|
std::make_unique<ck_tile::RotatingMemWrapper<ADataType, BDataType>>(
|
|
kargs.as_ptr[0],
|
|
kargs.bs_ptr[0],
|
|
s.rotating_count_,
|
|
size_a_buffer,
|
|
size_b_buffer);
|
|
rotating_mem_ptr->Print();
|
|
|
|
preprocess = [&]() {
|
|
ck_tile::flush_icache();
|
|
rotating_mem_ptr->Next();
|
|
clear_gemm_output();
|
|
};
|
|
}
|
|
else
|
|
{
|
|
preprocess = clear_gemm_output;
|
|
}
|
|
|
|
return ck_tile::launch_kernel_time_mask(
|
|
s,
|
|
preprocess,
|
|
ck_tile::make_kernel<GemmConfig::kBlockPerCu>(Kernel{}, grids, blocks, 0, kargs));
|
|
};
|
|
|
|
if(args.k_batch == 1)
|
|
{
|
|
return Run(MemoryOpSet{});
|
|
}
|
|
else
|
|
{
|
|
return Run(MemoryOpAtomicAdd{});
|
|
}
|
|
}
|
|
};
|