Files
composable_kernel/profiler/src/profile_permute_scale.cpp
Bartłomiej Kocot 66736edb95 Extend permute scale support up to 6D (#1168)
* Extend permute scale support up to 6D

* Fixes

* Fixes

* Update profiler/README.md

Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md

Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md

Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md

Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md

Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md

Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md

Co-authored-by: Lisa <lisajdelaney@gmail.com>

---------

Co-authored-by: Lisa <lisajdelaney@gmail.com>
2024-02-20 09:56:54 -08:00

171 lines
5.1 KiB
C++

// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <numeric>
#include <initializer_list>
#include <cstdlib>
#include "profiler/profile_permute_scale_impl.hpp"
#include "profiler_operation_registry.hpp"
namespace {
enum struct DataType
{
F32_F32, // 0
F16_F16 // 1
};
#define OP_NAME "permute_scale"
#define OP_DESC "Permute Scale"
static void print_helper_msg()
{
std::cout
// clang-format off
<< "arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n"
<< "arg2: data type (0: Input fp32, Output fp32\n"
<< " 1: Input fp16, Output fp16\n"
<< "arg4: verification (0: no, 1: yes)\n"
<< "arg5: initialization (0: no init, 1: integer value, 2: decimal value)\n"
<< "arg6: print tensor value (0: no; 1: yes)\n"
<< "arg7: time kernel (0: no, 1: yes)\n"
<< "from arg8: tensor lengths\n"
<< " input strides\n"
<< " output strides\n" << std::endl;
// clang-format on
}
} // namespace
int profile_permute_scale(int argc, char* argv[])
{
constexpr int control_argc = 7;
const int dims_argc = argc - control_argc;
// Number of lenghs, input strides and outputs strides must be equal
if(argc < control_argc && dims_argc % 3 != 0)
{
print_helper_msg();
return 1;
}
const auto data_type = static_cast<DataType>(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 num_dims = dims_argc / 3;
std::vector<ck::index_t> lengths(num_dims);
std::vector<ck::index_t> input_strides(num_dims);
std::vector<ck::index_t> output_strides(num_dims);
for(int i = 0; i < num_dims; i++)
{
lengths[i] = std::stoi(argv[control_argc + i]);
input_strides[i] = std::stoi(argv[control_argc + num_dims + i]);
output_strides[i] = std::stoi(argv[control_argc + 2 * num_dims + i]);
}
using F32 = float;
using F16 = ck::half_t;
constexpr auto I1 = ck::Number<1>{};
constexpr auto I2 = ck::Number<2>{};
constexpr auto I3 = ck::Number<3>{};
constexpr auto I4 = ck::Number<4>{};
constexpr auto I5 = ck::Number<5>{};
constexpr auto I6 = ck::Number<6>{};
auto profile = [&](auto num_dim_tmp, auto in_type, auto out_type) {
constexpr ck::index_t NDim = num_dim_tmp.value;
using InDataType = decltype(in_type);
using OutDataType = decltype(out_type);
bool pass =
ck::profiler::profile_permute_scale_impl<InDataType, OutDataType, NDim>(do_verification,
init_method,
do_log,
time_kernel,
lengths,
input_strides,
output_strides);
return pass ? 0 : 1;
};
if(num_dims == 1)
{
if(data_type == DataType::F32_F32)
{
return profile(I1, F32{}, F32{});
}
else if(data_type == DataType::F16_F16)
{
return profile(I1, F16{}, F16{});
}
}
else if(num_dims == 2)
{
if(data_type == DataType::F32_F32)
{
return profile(I2, F32{}, F32{});
}
else if(data_type == DataType::F16_F16)
{
return profile(I2, F16{}, F16{});
}
}
else if(num_dims == 3)
{
if(data_type == DataType::F32_F32)
{
return profile(I3, F32{}, F32{});
}
else if(data_type == DataType::F16_F16)
{
return profile(I3, F16{}, F16{});
}
}
else if(num_dims == 4)
{
if(data_type == DataType::F32_F32)
{
return profile(I4, F32{}, F32{});
}
else if(data_type == DataType::F16_F16)
{
return profile(I4, F16{}, F16{});
}
}
else if(num_dims == 5)
{
if(data_type == DataType::F32_F32)
{
return profile(I5, F32{}, F32{});
}
else if(data_type == DataType::F16_F16)
{
return profile(I5, F16{}, F16{});
}
}
else if(num_dims == 6)
{
if(data_type == DataType::F32_F32)
{
return profile(I6, F32{}, F32{});
}
else if(data_type == DataType::F16_F16)
{
return profile(I6, F16{}, F16{});
}
}
std::cout << "this data_type & layout is not implemented" << std::endl;
return 1;
}
REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_permute_scale);