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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

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/*******************************************************************************
*
* MIT License
*
* Copyright (C) 2021-2025 Advanced Micro Devices, Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*******************************************************************************/
#ifndef ROCWMMA_DETAIL_TUPLE_TEST_HPP
#define ROCWMMA_DETAIL_TUPLE_TEST_HPP
#include "common.hpp"
#include "device/tuple.hpp"
#include "unit_kernel_base.hpp"
namespace rocwmma
{
// Wrapper into the actual device function
template <uint32_t VecSize, typename DataT>
struct TupleKernel final
: public UnitKernelBase<1,
1,
DataT,
col_major> // BlockM, BlockN, DataLayout are redundant for this test
{
private:
using Base = UnitKernelBase<1, 1, DataT, col_major>;
public:
TupleKernel() = default;
~TupleKernel() final = default;
void setupImpl(typename Base::DataStorage::ProblemSize const& probsize) final
{
// Need at least 1 element for the result
auto& dataInstance = Base::DataStorage::instance();
dataInstance->resizeStorage(probsize);
dataInstance->hostOut().get()[0] = static_cast<DataT>(ERROR_VALUE);
dataInstance->copyData(dataInstance->deviceOut(), dataInstance->hostOut(), 1);
}
void validateResultsImpl() final
{
auto& dataInstance = Base::DataStorage::instance();
// Cache current kernel result from device
dataInstance->copyData(dataInstance->hostOut(), dataInstance->deviceOut(), 1);
// Check the single output result
Base::mValidationResult = (dataInstance->hostOut().get()[0] == DataT(SUCCESS_VALUE));
}
typename Base::KernelFunc kernelImpl() const final
{
return typename Base::KernelFunc(tupleTest<DataT, VecSize>);
}
};
// This is the GeneratorImpl class
struct TupleGenerator
{
// Indices to test parameters
enum : uint32_t
{
VecSize = 0,
DataT = 1,
};
using ResultT = std::shared_ptr<KernelI>;
template <typename... Ts>
static ResultT generate(std::tuple<Ts...> testParams)
{
// Map GTest params to Kernel params
using TestParamsT = std::tuple<Ts...>;
using KernelT
= TupleKernel<std::tuple_element_t<VecSize, TestParamsT>::value, // VecSize
std::tuple_element_t<DataT, TestParamsT> // DataT
>;
return std::make_shared<KernelT>();
}
};
} // namespace rocwmma
#endif // ROCWMMA_DETAIL_TUPLE_TEST_HPP