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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 "BatchToSpaceLayer.h"
#include "tests/validation/Helpers.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
// Batch to Space
template <typename T>
SimpleTensor<T> batch_to_space(const SimpleTensor<T> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape)
{
ARM_COMPUTE_ERROR_ON(block_shape[0] <= 0);
ARM_COMPUTE_ERROR_ON(block_shape[1] <= 0);
SimpleTensor<T> result(dst_shape, src.data_type());
int in_pos = 0;
const auto width_in = static_cast<int>(src.shape()[0]);
const auto height_in = static_cast<int>(src.shape()[1]);
const auto z_in = static_cast<int>(src.shape()[2]);
const auto batch_in = static_cast<int>(src.shape()[3]);
for(int batch = 0; batch < batch_in; ++batch)
{
for(int z = 0; z < z_in; ++z)
{
for(int y = 0; y < height_in; ++y)
{
for(int x = 0; x < width_in; ++x)
{
const int r = src.shape()[3] / (block_shape[0] * block_shape[1]);
const int out_x = (block_shape[0] * x + (batch / r) % block_shape[0]);
const int out_y = (block_shape[1] * y + (batch / r) / block_shape[0]);
const int out_pos = out_x + dst_shape[0] * out_y + z * dst_shape[0] * dst_shape[1] + (batch % r) * dst_shape[0] * dst_shape[1] * dst_shape[2];
result[out_pos] = src[in_pos];
++in_pos;
}
}
}
}
return result;
}
template SimpleTensor<float> batch_to_space(const SimpleTensor<float> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape);
template SimpleTensor<half> batch_to_space(const SimpleTensor<half> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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