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/*
* Copyright (c) 2018-2020 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 "Col2Im.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/reference/Utils.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> col2im(const SimpleTensor<T> &src, const TensorShape &dst_shape, unsigned int num_groups)
{
SimpleTensor<T> dst{ dst_shape, src.data_type(), 1 };
// Compute reference
const size_t batches = dst_shape.total_size() / (dst_shape.x() * dst_shape.y() * dst_shape.z());
const size_t src_width = src.shape().x();
const size_t src_height = src.shape().y();
if(num_groups == 1)
{
// Batches are on the 3rd dimension of the input tensor
#if defined(_OPENMP)
#pragma omp parallel for collapse(3)
#endif /* _OPENMP */
for(size_t b = 0; b < batches; ++b)
{
for(size_t x = 0; x < src_width; ++x)
{
for(size_t y = 0; y < src_height; ++y)
{
const int dst_idx = y + x * src_height + b * src_height * src_width;
dst[dst_idx] = src[coord2index(src.shape(), Coordinates(x, y, b))];
}
}
}
}
else
{
#if defined(_OPENMP)
#pragma omp parallel for collapse(4)
#endif /* _OPENMP */
for(size_t b = 0; b < batches; ++b)
{
for(size_t g = 0; g < num_groups; ++g)
{
for(size_t x = 0; x < src_width; ++x)
{
for(size_t y = 0; y < src_height; ++y)
{
const int dst_idx = y + x * src_height + g * src_height * src_width + b * src_height * src_width * num_groups;
dst[dst_idx] = src[coord2index(src.shape(), Coordinates(x, y, g, b))];
}
}
}
}
}
return dst;
}
template SimpleTensor<float> col2im(const SimpleTensor<float> &src, const TensorShape &dst_shape, unsigned int num_groups);
template SimpleTensor<half> col2im(const SimpleTensor<half> &src, const TensorShape &dst_shape, unsigned int num_groups);
template SimpleTensor<uint8_t> col2im(const SimpleTensor<uint8_t> &src, const TensorShape &dst_shape, unsigned int num_groups);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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