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/*******************************************************************************
*
* MIT License
*
* Copyright (c) 2024 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.
*
*******************************************************************************/
#include <gtest/gtest.h>
#include <miopen/tensor.hpp>
#include <miopen/tensor_ops.hpp>
#include "get_handle.hpp"
#include "tensor_holder.hpp"
#include "tensor_util.hpp"
#include "verify.hpp"
namespace {
using UnaryTensorOpsCase = std::tuple<std::vector<size_t>, int>;
template <typename T>
class GPU_unaryTensorOps : public ::testing::TestWithParam<UnaryTensorOpsCase>
{
public:
static tensor<T> superTensor;
static void SetUpTestSuite()
{
uint64_t max_value = miopen_type<T>{} == miopenHalf ? 5 : 17;
superTensor = tensor<T>{std::vector<size_t>{32, 32, 16, 16, 16}}.generate(
tensor_elem_gen_integer{max_value});
}
protected:
const T alpha = static_cast<T>(2.048);
size_t dataSize;
miopen::TensorDescriptor subDesc;
void SetUp() override
{
const auto& [lens, offset] = GetParam();
ASSERT_GE(superTensor.desc.GetNumDims(), lens.size());
const std::vector<size_t>& superStrides = superTensor.desc.GetStrides();
std::vector<size_t> strides(superStrides.begin() +
(superTensor.desc.GetNumDims() - lens.size()),
superStrides.end());
subDesc = miopen::TensorDescriptor(miopen_type<T>{}, lens, strides);
dataSize = subDesc.GetElementSpace() + offset;
ASSERT_GE(superTensor.desc.GetElementSpace(), dataSize);
}
template <typename DataOp, typename GpuOp>
void Run(DataOp&& dataOp, GpuOp&& gpuOp)
{
std::vector<T> superCpu(superTensor.begin(), superTensor.begin() + dataSize);
auto offset = std::get<int>(GetParam());
auto&& handle = get_handle();
auto super_dev = handle.Write(superCpu);
gpuOp(handle, subDesc, super_dev.get(), &alpha, offset);
auto result = handle.Read<T>(super_dev, dataSize);
operate_over_subtensor(dataOp, superCpu, subDesc, offset);
auto mismatch_index = miopen::mismatch_idx(superCpu, result, miopen::float_equal);
ASSERT_EQ(result.size(), mismatch_index)
<< "The first mismatched elements are:" //
<< " GPU[" << mismatch_index << "] " << result[mismatch_index] //
<< " Ref[" << mismatch_index << "] " << superCpu[mismatch_index]; //
}
void RunScale()
{
Run([a = alpha](auto& val) { val *= a; },
[](auto&&... params) { miopen::ScaleTensor(params...); });
}
void RunSet()
{
Run([a = alpha](auto& val) { val = a; },
[](auto&&... params) { miopen::SetTensor(params...); });
}
void TearDown() override {}
};
template <typename T>
tensor<T> GPU_unaryTensorOps<T>::superTensor;
} // namespace
using float16 = half_float::half;
#define X_CONCAT_FIRST_SECOND_(first, second) first##second
#define X_INSTANTIATE(TEST_TYPE, REAL_TYPE, ...) \
using GPU_unaryTensorOps_##TEST_TYPE = GPU_unaryTensorOps<REAL_TYPE>; \
TEST_P(GPU_unaryTensorOps_##TEST_TYPE, X_CONCAT_FIRST_SECOND_(__VA_ARGS__, TestTensorScale)) \
{ \
RunScale(); \
}; \
TEST_P(GPU_unaryTensorOps_##TEST_TYPE, TestTensorSet) { RunSet(); }; \
\
INSTANTIATE_TEST_SUITE_P( \
Smoke, \
GPU_unaryTensorOps_##TEST_TYPE, \
testing::Combine(testing::Values(std::vector<size_t>{32, 8, 10}), testing::Values(7))); \
\
INSTANTIATE_TEST_SUITE_P(Full, \
GPU_unaryTensorOps_##TEST_TYPE, \
testing::Combine(testing::ValuesIn(get_sub_tensor<size_t>()), \
testing::ValuesIn(get_tensor_offset())));
X_INSTANTIATE(FP32, float);
X_INSTANTIATE(FP16, float16);
X_INSTANTIATE(I32, int);
X_INSTANTIATE(I8, int8_t, DISABLED_); // disable Scale for int8
X_INSTANTIATE(BFP16, bfloat16, DISABLED_); // disable Scale for bfloat16
#undef X_INSTANTIATE
#undef X_CONCAT_FIRST_SECOND_
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