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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 "UpsampleLayer.h"
#include "arm_compute/core/utils/misc/Requires.h"
#include "tests/validation/Helpers.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> upsample_layer(const SimpleTensor<T> &src, const Size2D &info, const InterpolationPolicy policy)
{
ARM_COMPUTE_ERROR_ON(policy != InterpolationPolicy::NEAREST_NEIGHBOR);
ARM_COMPUTE_UNUSED(policy);
TensorShape output_shape = src.shape();
output_shape.set(0, src.shape().x() * info.x());
output_shape.set(1, src.shape().y() * info.y());
// Create reference
const int stride_x = info.x();
const int stride_y = info.y();
int width_out = output_shape.x();
int height_out = output_shape.y();
SimpleTensor<T> out{ output_shape, src.data_type(), 1, src.quantization_info() };
const int width_in = src.shape().x();
const int height_in = src.shape().y();
const int num_2d_slices = src.shape().total_size() / (width_in * height_in);
for(int slice = 0; slice < num_2d_slices; ++slice)
{
const int offset_slice_in = slice * width_in * height_in;
const int offset_slice_out = slice * height_out * width_out;
for(int y = 0; y < height_out; ++y)
{
for(int x = 0; x < width_out; ++x)
{
const int out_offset = y * width_out + x;
const int in_offset = (y / stride_y) * width_in + x / stride_x;
T *_out = out.data() + offset_slice_out + out_offset;
const T *in = src.data() + offset_slice_in + in_offset;
*_out = *in;
}
}
}
return out;
}
template SimpleTensor<float> upsample_layer(const SimpleTensor<float> &src,
const Size2D &info, const InterpolationPolicy policy);
template SimpleTensor<half> upsample_layer(const SimpleTensor<half> &src,
const Size2D &info, const InterpolationPolicy policy);
template SimpleTensor<uint8_t> upsample_layer(const SimpleTensor<uint8_t> &src,
const Size2D &info, const InterpolationPolicy policy);
template SimpleTensor<int8_t> upsample_layer(const SimpleTensor<int8_t> &src,
const Size2D &info, const InterpolationPolicy policy);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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