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/*
* Copyright (c) 2017 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* 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 ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE
#define ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/Types.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/reference/MinMaxLocation.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename ArrayType, typename ArrayAccessorType, typename FunctionType, typename T>
class MinMaxLocationValidationFixture : public framework::Fixture
{
public:
using target_type = typename std::conditional<std::is_integral<T>::value, int32_t, float>::type;
template <typename...>
void setup(TensorShape shape, DataType data_type)
{
_target = compute_target(shape, data_type);
_reference = compute_reference(shape, data_type);
}
protected:
template <typename U>
void fill(U &&tensor)
{
library->fill_tensor_uniform(tensor, 0);
}
MinMaxLocationValues<target_type> compute_target(const TensorShape &shape, DataType data_type)
{
MinMaxLocationValues<target_type> target;
ArrayType min_loc(shape.total_size());
ArrayType max_loc(shape.total_size());
// Create tensors
TensorType src = create_tensor<TensorType>(shape, data_type);
// Create and configure function
FunctionType min_max_loc;
min_max_loc.configure(&src, &target.min, &target.max, &min_loc, &max_loc);
// Allocate tensors
src.allocator()->allocate();
ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill(AccessorType(src));
// Compute function
min_max_loc.run();
// Create accessor objects for mapping operations
ArrayAccessorType min_loc_accessor(min_loc);
ArrayAccessorType max_loc_accessor(max_loc);
// Move min Coordinates2D values from ArrayType to vector
for(size_t i = 0; i < min_loc.num_values(); ++i)
{
target.min_loc.push_back(std::move(min_loc_accessor.at(i)));
}
// Move max Coordinates2D values from ArrayType to vector
for(size_t i = 0; i < max_loc.num_values(); ++i)
{
target.max_loc.push_back(std::move(max_loc_accessor.at(i)));
}
return target;
}
MinMaxLocationValues<T> compute_reference(const TensorShape &shape, DataType data_type)
{
// Create reference
SimpleTensor<T> src{ shape, data_type };
// Fill reference
fill(src);
return reference::min_max_location<T>(src);
}
MinMaxLocationValues<target_type> _target{};
MinMaxLocationValues<T> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE */
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