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composable_kernel/profiler/src/profile_gemm_quantization.cpp
Aviral Goel 0aadb4b2c4 chore(copyright): update copyright header for profiler directory (#3205)
* chore(copyright): update copyright header for tile_engine directory

* chore(copyright): update copyright header for script directory

* chore(copyright): update copyright header for test_data directory

* chore(copyright): update copyright header for python directory

* chore(copyright): update copyright header for profiler directory
2025-11-14 11:19:25 -08:00

116 lines
4.3 KiB
C++

// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include <iostream>
#include <numeric>
#include <initializer_list>
#include <cstdlib>
#include <cstdio>
#include "profiler/profile_gemm_quantization_impl.hpp"
#include "profiler_operation_registry.hpp"
#define OP_NAME "gemm_quantization"
#define OP_DESC "GEMM Quantization"
using INT8 = int8_t;
using INT32 = int32_t;
int profile_gemm_quantization(int argc, char* argv[])
{
enum struct MatrixLayout
{
MK_KN_MN, // 0:
MK_NK_MN, // 1:
KM_KN_MN, // 2:
KM_NK_MN, // 3:
};
if(argc != 14)
{
// clang-format off
printf("arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n");
printf("arg2: matrix layout (0: E[m, n] = A[m, k] * B[k, n];\n");
printf(" 1: E[m, n] = A[m, k] * B[n, k];\n");
printf(" 2: E[m, n] = A[k, m] * B[k, n];\n");
printf(" 3: E[m, n] = A[k, m] * B[n, k])\n");
printf("arg3: verification (0: no; 1: yes)\n");
printf("arg4: initialization (0: no init; default: integer value)\n");
printf("arg5: print tensor value (0: no; 1: yes)\n");
printf("arg6: time kernel (0=no, 1=yes)\n");
printf("arg7 to 12: M, N, K, StrideA, StrideB, StrideE\n");
printf("arg13: requant_scale (float, e.g., 0.03)\n");
// clang-format on
exit(1);
}
const auto layout = static_cast<MatrixLayout>(std::stoi(argv[2]));
const bool do_verification = std::stoi(argv[3]);
const int init_method = std::stoi(argv[4]);
const bool do_log = std::stoi(argv[5]);
const bool time_kernel = std::stoi(argv[6]);
const int M = std::stoi(argv[7]);
const int N = std::stoi(argv[8]);
const int K = std::stoi(argv[9]);
const int StrideA = std::stoi(argv[10]);
const int StrideB = std::stoi(argv[11]);
const int StrideE = std::stoi(argv[12]);
const float requant_scale = std::stof(argv[13]);
using Row = ck::tensor_layout::gemm::RowMajor;
using Col = ck::tensor_layout::gemm::ColumnMajor;
auto profile = [&](auto a_layout, auto b_layout, auto e_layout) {
using ALayout = decltype(a_layout);
using BLayout = decltype(b_layout);
using ELayout = decltype(e_layout);
bool pass = ck::profiler::profile_gemm_quantization_impl<int8_t,
int8_t,
int32_t,
int8_t,
ALayout,
BLayout,
ELayout>(do_verification,
init_method,
do_log,
time_kernel,
M,
N,
K,
StrideA,
StrideB,
StrideE,
requant_scale);
return pass ? 0 : 1;
};
if(layout == MatrixLayout::MK_KN_MN)
{
return profile(Row{}, Row{}, Row{});
}
else if(layout == MatrixLayout::MK_NK_MN)
{
return profile(Row{}, Col{}, Row{});
}
else if(layout == MatrixLayout::KM_KN_MN)
{
return profile(Col{}, Row{}, Row{});
}
else if(layout == MatrixLayout::KM_NK_MN)
{
return profile(Col{}, Col{}, Row{});
}
else
{
std::cout << "this layout is not implemented" << std::endl;
return 1;
}
}
REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_gemm_quantization);