blob: 81f4970b41d81351ac096336770fc84f449450bc [file] [log] [blame]
/*
* Copyright (c) 2017-2018 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_MAGNITUDE_FIXTURE
#define ARM_COMPUTE_TEST_MAGNITUDE_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/reference/Magnitude.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class MagnitudeValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape, Format format, MagnitudeType magnitude_type)
{
_target = compute_target(shape, format, magnitude_type);
_reference = compute_reference(shape, format, magnitude_type);
_magnitude_type = magnitude_type;
}
protected:
template <typename U>
void fill(U &&tensor, std::random_device::result_type seed_offset)
{
library->fill_tensor_uniform(tensor, seed_offset);
}
TensorType compute_target(const TensorShape &shape, Format format, MagnitudeType magnitude_type)
{
DataType data_type = data_type_from_format(format);
// Create tensors
TensorType src1 = create_tensor<TensorType>(shape, data_type);
src1.info()->set_format(format);
TensorType src2 = create_tensor<TensorType>(shape, data_type);
src2.info()->set_format(format);
TensorType dst = create_tensor<TensorType>(shape, data_type);
dst.info()->set_format(format);
// Create and configure function
FunctionType magnitude;
magnitude.configure(&src1, &src2, &dst, magnitude_type);
ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(src2.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
src1.allocator()->allocate();
src2.allocator()->allocate();
dst.allocator()->allocate();
ARM_COMPUTE_EXPECT(!src1.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!src2.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill(AccessorType(src1), 0);
fill(AccessorType(src2), 1);
// Compute function
magnitude.run();
return dst;
}
SimpleTensor<T> compute_reference(const TensorShape &shape, Format format, MagnitudeType magnitude_type)
{
DataType data_type = data_type_from_format(format);
// Create reference
SimpleTensor<T> src1{ shape, data_type };
SimpleTensor<T> src2{ shape, data_type };
// Fill reference
fill(src1, 0);
fill(src2, 1);
return reference::magnitude<T>(src1, src2, magnitude_type);
}
TensorType _target{};
SimpleTensor<T> _reference{};
MagnitudeType _magnitude_type{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_MAGNITUDE_FIXTURE */