90 lines
3.6 KiB
C++
90 lines
3.6 KiB
C++
/*
|
|
* 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 "support/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
|