Files
composable_kernel/profiler/src/profile_gemm_mx.cpp
Andriy Roshchenko 00247e3c29 Optimized GEMMs for MX FP4/8 (#2294)
Adds V3 GEMM pipeline for MX FP4 and MX FP8 
Adds V3 GEMM pipeline for MX FP4 with preshuffling
Adds MXFP4 GEMM tests (#2275)
Adds MXFP4 GEMM examples
Adds MXFP4 GEMMs to ckProfiler




Co-authored-by: Andriy Roshchenko <107577548+andriy-ca@users.noreply.github.com>
Co-authored-by: Andriy Roshchenko <andriy.roshchenko@amd.com>
Co-authored-by: aska-0096 <haocwang@amd.com>
Co-authored-by: lalala-sh <Jiaxing.Wen@amd.com>
Co-authored-by: OscarXu <huaiguxu@amd.com>
Co-authored-by: mtgu0705 <mtgu@amd.com>
Co-authored-by: Ding, Yi <yi.ding@amd.com>
Co-authored-by: feifei14119 <feiw@amd.com>
Co-authored-by: Lin, Qun <qlin@amd.com>
Co-authored-by: joye <joye@amd.com>
Co-authored-by: Rostyslav Geyyer <46627076+geyyer@users.noreply.github.com>
2025-06-05 13:54:15 -06:00

156 lines
5.5 KiB
C++

// SPDX-License-Identifier: MIT
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <numeric>
#include <initializer_list>
#include <cstdlib>
#include "profiler/profile_gemm_mx_impl.hpp"
#include "profiler_operation_registry.hpp"
enum struct GemmMatrixLayout
{
MK_KN_MN, // 0
MK_NK_MN, // 1
MK_MFMA_MN, // 2
};
enum struct GemmDataType
{
F4_F4_F16, // 0
F8_F8_F16, // 1
F8_F8_BF16, // 2
};
#define OP_NAME "gemm_mx"
#define OP_DESC "GEMM_mx"
int profile_gemm_mx(int argc, char* argv[])
{
if(argc != 11 && argc != 14 && argc != 18)
{
printf("arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n");
printf("arg2: data type (0: f4->f16 ;\n");
printf(" 1: fp8->f16 ;\n");
printf(" 2: fp8->bf16 )\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] * BPreShuff = 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("optional:\n");
printf("arg14: number of kbatch (default 1)\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 arg_index = 2;
const auto data_type = static_cast<GemmDataType>(std::stoi(argv[arg_index++]));
const auto layout = static_cast<GemmMatrixLayout>(std::stoi(argv[arg_index++]));
const bool do_verification = std::stoi(argv[arg_index++]);
const int init_method = std::stoi(argv[arg_index++]);
const bool do_log = std::stoi(argv[arg_index++]);
const bool time_kernel = std::stoi(argv[arg_index++]);
const int M = std::stoi(argv[arg_index++]);
const int N = std::stoi(argv[arg_index++]);
const int K = std::stoi(argv[arg_index++]);
int StrideA = -1, StrideB = -1, StrideC = -1;
if(argc > arg_index)
{
StrideA = std::stoi(argv[arg_index++]);
StrideB = std::stoi(argv[arg_index++]);
StrideC = std::stoi(argv[arg_index++]);
}
int KBatch = 1;
int n_warmup = 1;
int n_iter = 10;
uint64_t rotating = 0;
if(argc > arg_index)
{
KBatch = std::stoi(argv[arg_index++]);
n_warmup = std::stoi(argv[arg_index++]);
n_iter = std::stoi(argv[arg_index++]);
rotating = std::stoull(argv[arg_index++]) * 1024 * 1024;
}
using F16 = ck::half_t;
using BF16 = ck::bhalf_t;
using F4 = ck::f4x2_pk_t;
using F8 = ck::f8_t;
using Row = ck::tensor_layout::gemm::RowMajor;
using Col = ck::tensor_layout::gemm::ColumnMajor;
using MFMA = ck::tensor_layout::gemm::MFMA;
auto profile =
[&](auto a_type, auto b_type, auto c_type, auto a_layout, auto b_layout, auto c_layout) {
using ADataType = decltype(a_type);
using BDataType = decltype(b_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_mx_impl<ADataType,
BDataType,
CDataType,
ALayout,
BLayout,
CLayout,
32>( //
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::F4_F4_F16 && layout == GemmMatrixLayout::MK_NK_MN)
{
return profile(F4{}, F4{}, F16{}, Row{}, Col{}, Row{});
}
else if(data_type == GemmDataType::F4_F4_F16 && layout == GemmMatrixLayout::MK_MFMA_MN)
{
return profile(F4{}, F4{}, F16{}, Row{}, MFMA{}, Row{});
}
else if(data_type == GemmDataType::F8_F8_F16 && layout == GemmMatrixLayout::MK_NK_MN)
{
return profile(F8{}, F8{}, F16{}, Row{}, Col{}, Row{});
}
else if(data_type == GemmDataType::F8_F8_BF16 && layout == GemmMatrixLayout::MK_NK_MN)
{
return profile(F8{}, F8{}, BF16{}, Row{}, Col{}, Row{});
}
else
{
std::cout << "this data_type & layout is not implemented" << std::endl;
return 1;
}
}
REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_gemm_mx);