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/*
* Copyright (c) 2019 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 "SpaceToDepth.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_depth(const SimpleTensor<T> &src, const TensorShape &dst_shape, const int block_shape)
{
SimpleTensor<T> result(dst_shape, src.data_type());
const auto width_out = static_cast<int>(dst_shape[0]);
const auto height_out = static_cast<int>(dst_shape[1]);
const auto channel_out = static_cast<int>(dst_shape[2]);
const auto width_in = static_cast<int>(src.shape()[0]);
const auto height_in = static_cast<int>(src.shape()[1]);
const auto channel_in = static_cast<int>(src.shape()[2]);
const auto batch = static_cast<int>(src.shape()[3]);
const auto block_width = block_shape;
const auto block_height = block_shape;
int out_pos = 0;
for(int ba = 0; ba < batch; ++ba)
{
for(int outC = 0; outC < channel_out; ++outC)
{
unsigned int inC = outC % channel_in;
int shift_w = (outC / channel_in) % block_width;
int shift_h = (outC / channel_in) / block_width;
for(int outH = 0; outH < height_out; ++outH)
{
for(int outW = 0; outW < width_out; ++outW)
{
const auto in_pos = ((ba * channel_in + inC) * height_in + ((outH * block_height + shift_h))) * width_in + (outW * block_width + shift_w);
result[out_pos] = src[in_pos];
++out_pos;
}
}
}
}
return result;
}
template SimpleTensor<float> space_to_depth(const SimpleTensor<float> &src, const TensorShape &dst_shape, const int block_shape);
template SimpleTensor<half> space_to_depth(const SimpleTensor<half> &src, const TensorShape &dst_shape, const int block_shape);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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