mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-03 05:01:25 +00:00
* works on mi300 * fix(profiler): add error message for unsupported type/layout * refactor(preshuffle.inc): add type aliases for code readability
181 lines
6.2 KiB
C++
181 lines
6.2 KiB
C++
// SPDX-License-Identifier: MIT
|
|
// Copyright (c) 2023-2025, Advanced Micro Devices, Inc. All rights reserved.
|
|
|
|
#include <cstdlib>
|
|
#include <initializer_list>
|
|
#include <iostream>
|
|
#include <numeric>
|
|
|
|
#include "profiler/profile_gemm_universal_preshuffle_impl.hpp"
|
|
#include "profiler_operation_registry.hpp"
|
|
|
|
enum struct GemmMatrixLayout
|
|
{
|
|
// MK_KN_MN, // 0
|
|
MK_NK_MN = 1, // 1
|
|
// KM_KN_MN, // 2
|
|
// KM_NK_MN, // 3
|
|
};
|
|
|
|
enum struct GemmDataType
|
|
{
|
|
F8_F8_F16 = 0, // 0
|
|
F8_F8_BF16 = 1, // 1
|
|
// F32_F32_F32, // 0
|
|
// F16_F16_F16, // 1
|
|
// BF16_BF16_BF16, // 2
|
|
// INT8_INT8_INT8, // 3
|
|
// F8_F16_F16, // 4
|
|
// F16_F8_F16, // 5
|
|
// F16_F16_F16_F8, // 6
|
|
// F8_F8_BF16, // 7
|
|
// F16_I4_F16, // 8
|
|
// BF16_I4_BF16, // 9
|
|
|
|
};
|
|
|
|
#define OP_NAME "gemm_universal_preshuffle"
|
|
#define OP_DESC "Universal GEMM Preshuffle"
|
|
|
|
int profile_gemm_universal_preshuffle(int argc, char* argv[])
|
|
{
|
|
if(argc != 15 && argc != 18)
|
|
{
|
|
printf("arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n");
|
|
printf("arg2: data type (0: f8->bf16, 1: f8->f16)\n");
|
|
// printf("arg3: matrix layout (0: A[m, k] * B[k, n] = C[m, n];\n");
|
|
printf(" 1: A[m, k] * B[n, k] = C[m, n];\n");
|
|
// printf(" 2: A[k, m] * B[k, n] = C[m, n];\n");
|
|
// printf(" 3: A[k, m] * B[n, k] = C[m, n])\n");
|
|
printf("arg4: verification (0: no; 1: yes)\n");
|
|
printf("arg5: initialization (0: no init; 1: integer value; 2: decimal value)\n");
|
|
printf("arg6: print tensor value (0: no; 1: yes)\n");
|
|
printf("arg7: time kernel (0=no, 1=yes)\n");
|
|
printf("arg8 to 13: M, N, K, StrideA, StrideB, StrideC\n");
|
|
printf("arg14: split k into mulitiple batch\n");
|
|
printf("optional:\n");
|
|
printf("arg15: number of warm-up cycles (default 1)\n");
|
|
printf("arg16: number of iterations (default 10)\n");
|
|
printf("arg17: memory for rotating buffer (default 0, size in MB)\n");
|
|
exit(1);
|
|
}
|
|
|
|
int M;
|
|
int N;
|
|
int StrideA;
|
|
int StrideB;
|
|
// Analyze the unsupported matrix shapes, switch the M and N number
|
|
if(std::stoi(argv[9]) % 8 != 0 && std::stoi(argv[8]) % 8 == 0)
|
|
{
|
|
M = std::stoi(argv[9]);
|
|
StrideA = std::stoi(argv[12]);
|
|
N = std::stoi(argv[8]);
|
|
StrideB = std::stoi(argv[11]);
|
|
}
|
|
else
|
|
{
|
|
M = std::stoi(argv[8]);
|
|
StrideA = std::stoi(argv[11]);
|
|
N = std::stoi(argv[9]);
|
|
StrideB = std::stoi(argv[12]);
|
|
}
|
|
const auto data_type = static_cast<GemmDataType>(std::stoi(argv[2]));
|
|
const auto layout = static_cast<GemmMatrixLayout>(std::stoi(argv[3]));
|
|
const bool do_verification = std::stoi(argv[4]);
|
|
const int init_method = std::stoi(argv[5]);
|
|
const bool do_log = std::stoi(argv[6]);
|
|
const bool time_kernel = std::stoi(argv[7]);
|
|
|
|
const int K = std::stoi(argv[10]);
|
|
|
|
const int StrideC = std::stoi(argv[13]);
|
|
const int KBatch = std::stoi(argv[14]);
|
|
|
|
int n_warmup = 1;
|
|
int n_iter = 10;
|
|
uint64_t rotating = 0;
|
|
if(argc == 18)
|
|
{
|
|
n_warmup = std::stoi(argv[15]);
|
|
n_iter = std::stoi(argv[16]);
|
|
rotating = std::stoull(argv[17]) * 1024 * 1024;
|
|
}
|
|
|
|
using F32 = float;
|
|
using F16 = ck::half_t;
|
|
using BF16 = ck::bhalf_t;
|
|
#if defined(CK_USE_FP8_ON_UNSUPPORTED_ARCH) || defined(CK_USE_GFX94) || defined(CK_USE_WMMA_FP8)
|
|
using F8 = ck::f8_t;
|
|
#endif
|
|
|
|
using Row = ck::tensor_layout::gemm::RowMajor;
|
|
using Col = ck::tensor_layout::gemm::ColumnMajor;
|
|
|
|
auto profile = [&](auto a_type,
|
|
auto b_type,
|
|
auto comp_type,
|
|
auto acc_type,
|
|
auto c_type,
|
|
auto a_layout,
|
|
auto b_layout,
|
|
auto c_layout) {
|
|
using ADataType = decltype(a_type);
|
|
using BDataType = decltype(b_type);
|
|
using ComputeDataType = decltype(comp_type);
|
|
using AccDataType = decltype(acc_type);
|
|
using CDataType = decltype(c_type);
|
|
|
|
using ALayout = decltype(a_layout);
|
|
using BLayout = decltype(b_layout);
|
|
using CLayout = decltype(c_layout);
|
|
|
|
const int DefaultStrideA = ck::is_same_v<ALayout, Row> ? K : M;
|
|
const int DefaultStrideB = ck::is_same_v<BLayout, Row> ? N : K;
|
|
const int DefaultStrideC = ck::is_same_v<CLayout, Row> ? N : M;
|
|
|
|
bool pass = ck::profiler::profile_gemm_universal_preshuffle_impl<ADataType,
|
|
BDataType,
|
|
ComputeDataType,
|
|
AccDataType,
|
|
CDataType,
|
|
ALayout,
|
|
BLayout,
|
|
CLayout>(
|
|
do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
M,
|
|
N,
|
|
K,
|
|
(StrideA < 0) ? DefaultStrideA : StrideA,
|
|
(StrideB < 0) ? DefaultStrideB : StrideB,
|
|
(StrideC < 0) ? DefaultStrideC : StrideC,
|
|
KBatch,
|
|
n_warmup,
|
|
n_iter,
|
|
rotating);
|
|
|
|
return pass ? 0 : 1;
|
|
};
|
|
|
|
if(data_type == GemmDataType::F8_F8_F16 && layout == GemmMatrixLayout::MK_NK_MN)
|
|
{
|
|
return profile(F8{}, F8{}, F16{}, F32{}, F16{}, Row{}, Col{}, Row{});
|
|
}
|
|
#if defined(CK_USE_FP8_ON_UNSUPPORTED_ARCH) || defined(CK_USE_GFX94) || defined(CK_USE_WMMA_FP8)
|
|
if(data_type == GemmDataType::F8_F8_BF16 && layout == GemmMatrixLayout::MK_NK_MN)
|
|
{
|
|
return profile(F8{}, F8{}, F8{}, F32{}, BF16{}, Row{}, Col{}, Row{});
|
|
}
|
|
#endif
|
|
else
|
|
{
|
|
std::cout << "this data_type & layout is not implemented" << std::endl;
|
|
|
|
return 1;
|
|
}
|
|
}
|
|
|
|
REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_gemm_universal_preshuffle);
|