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/*
* Copyright (c) 2017-2020 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_SCALELAYERFIXTURE
#define ARM_COMPUTE_TEST_SCALELAYERFIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/Globals.h"
#include "tests/Utils.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
namespace arm_compute
{
namespace test
{
/** Fixture that can be used for NEON, CL and OpenGL ES */
template <typename TensorType, typename Function, typename Accessor, typename T>
class ScaleLayerFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy, float sx, float sy, DataType data_type)
{
constexpr float max_width = 8192.0f;
constexpr float max_height = 6384.0f;
std::mt19937 generator(library->seed());
float scale_x = ((shape.x() * sx) > max_width) ? (max_width / shape.x()) : sx;
float scale_y = ((shape.y() * sy) > max_height) ? (max_height / shape.y()) : sy;
std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
T constant_border_value = static_cast<T>(distribution_u8(generator));
// Create tensors
src = create_tensor<TensorType>(shape, data_type);
TensorShape shape_scaled(shape);
shape_scaled.set(0, shape[0] * scale_x);
shape_scaled.set(1, shape[1] * scale_y);
dst = create_tensor<TensorType>(shape_scaled, data_type);
scale_layer.configure(&src, &dst, ScaleKernelInfo{ policy, border_mode, constant_border_value, sampling_policy });
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
}
void run()
{
scale_layer.run();
}
void sync()
{
sync_if_necessary<TensorType>();
sync_tensor_if_necessary<TensorType>(dst);
}
void teardown()
{
src.allocator()->free();
dst.allocator()->free();
}
private:
TensorType src{};
TensorType dst{};
Function scale_layer{};
};
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_SCALELAYERFIXTURE */
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