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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.
*/
#include "SpaceToBatch.h"
#include "tests/validation/Helpers.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
// Space to Batch
template <typename T>
SimpleTensor<T> space_to_batch(const SimpleTensor<T> &src, const SimpleTensor<int32_t> &block_shape, const SimpleTensor<int32_t> &paddings, const TensorShape &dst_shape)
{
SimpleTensor<T> result(dst_shape, src.data_type());
auto width_out = static_cast<int>(dst_shape[0]);
auto height_out = static_cast<int>(dst_shape[1]);
auto z_out = static_cast<int>(dst_shape[2]);
int out_pos = 0;
for(int batch = 0; batch < static_cast<int>(dst_shape[3]); ++batch)
{
for(int z = 0; z < z_out; ++z)
{
for(int y = 0; y < height_out; ++y)
{
for(int x = 0; x < width_out; ++x)
{
if(x < paddings[0] || x > width_out - paddings[1] - 1
|| y < paddings[2] || y > height_out - paddings[3] - 1)
{
result[out_pos] = 0;
}
else
{
const int r = dst_shape[3] / (block_shape[0] * block_shape[1]);
const int in_x = (block_shape[0] * (x - paddings[0]) + (batch / r) % block_shape[0]);
const int in_y = (block_shape[1] * (y - paddings[2]) + (batch / r) / block_shape[0]);
int in_pos = in_x + src.shape()[0] * in_y + z * src.shape()[0] * src.shape()[1] + (batch % r) * src.shape()[0] * src.shape()[1] * src.shape()[2];
result[out_pos] = src[in_pos];
}
++out_pos;
}
}
}
}
return result;
}
template SimpleTensor<float> space_to_batch(const SimpleTensor<float> &src, const SimpleTensor<int32_t> &block_shape, const SimpleTensor<int32_t> &paddings, const TensorShape &dst_shape);
template SimpleTensor<half> space_to_batch(const SimpleTensor<half> &src, const SimpleTensor<int32_t> &block_shape, const SimpleTensor<int32_t> &paddings, const TensorShape &dst_shape);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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