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/*
* Copyright (c) 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_CANNY_EDGE_FIXTURE
#define ARM_COMPUTE_TEST_CANNY_EDGE_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/Globals.h"
#include "tests/Utils.h"
#include "tests/framework/Fixture.h"
namespace arm_compute
{
class CLCannyEdge;
class NECannyEdge;
namespace test
{
namespace benchmark
{
template <typename TensorType, typename Function, typename Accessor>
class CannyEdgeFixture : public framework::Fixture
{
public:
template <typename...>
void setup(std::string image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, Format format)
{
// Load the image (cached by the library if loaded before)
const RawTensor &raw = library->get(image, format);
src = create_tensor<TensorType>(raw.shape(), format);
dst = create_tensor<TensorType>(raw.shape(), format);
canny_edge_func.configure(&src, &dst, upper_thresh, lower_thresh, gradient_size, static_cast<int>(norm_type) + 1, border_mode, constant_border_value);
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
library->fill(Accessor(src), raw);
}
void run()
{
canny_edge_func.run();
}
void sync()
{
sync_if_necessary<TensorType>();
sync_tensor_if_necessary<TensorType>(dst);
}
private:
static const int32_t lower_thresh = 0;
static const int32_t upper_thresh = 255;
static const uint8_t constant_border_value = 0;
TensorType src{};
TensorType dst{};
Function canny_edge_func{};
};
} // namespace benchmark
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_CANNY_EDGE_FIXTURE */