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/*
* Copyright (c) 2019-2020 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.
*/
#include "ComputeAllAnchors.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/core/utils/misc/Utility.h"
#include "tests/validation/Helpers.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> compute_all_anchors(const SimpleTensor<T> &anchors, const ComputeAnchorsInfo &info)
{
const int num_anchors = anchors.shape()[1];
const auto width = int(info.feat_width());
const auto height = int(info.feat_height());
const float stride = 1. / info.spatial_scale();
SimpleTensor<T> all_anchors(TensorShape(4, width * height * num_anchors), anchors.data_type());
const T *anchors_ptr = anchors.data();
T *all_anchors_ptr = all_anchors.data();
// Iterate over the input grid and anchors
#if defined(_OPENMP)
#pragma omp parallel for schedule(dynamic, 1) collapse(3)
#endif /* _OPENMP */
for(int y = 0; y < height; y++)
{
for(int x = 0; x < width; x++)
{
for(int a = 0; a < num_anchors; a++)
{
const T shift_x = T(x) * T(stride);
const T shift_y = T(y) * T(stride);
const size_t anchor_id = a + x * num_anchors + y * width * num_anchors;
// x1
all_anchors_ptr[anchor_id * 4] = anchors_ptr[4 * a] + shift_x;
// y1
all_anchors_ptr[anchor_id * 4 + 1] = anchors_ptr[4 * a + 1] + shift_y;
// x2
all_anchors_ptr[anchor_id * 4 + 2] = anchors_ptr[4 * a + 2] + shift_x;
// y2
all_anchors_ptr[anchor_id * 4 + 3] = anchors_ptr[4 * a + 3] + shift_y;
}
}
}
return all_anchors;
}
template SimpleTensor<float> compute_all_anchors(const SimpleTensor<float> &anchors, const ComputeAnchorsInfo &info);
template SimpleTensor<half> compute_all_anchors(const SimpleTensor<half> &anchors, const ComputeAnchorsInfo &info);
template <>
SimpleTensor<int16_t> compute_all_anchors(const SimpleTensor<int16_t> &anchors, const ComputeAnchorsInfo &info)
{
SimpleTensor<float> anchors_tmp = convert_from_symmetric(anchors);
SimpleTensor<float> all_anchors_tmp = compute_all_anchors(anchors_tmp, info);
SimpleTensor<int16_t> all_anchors = convert_to_symmetric<int16_t>(all_anchors_tmp, anchors.quantization_info());
return all_anchors;
}
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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