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/*
* Copyright (c) 2017 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 "Utils.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/half.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
// Return a tensor element at a specified coordinate with different border modes
template <typename T>
T tensor_elem_at(const SimpleTensor<T> &in, Coordinates coord, BorderMode border_mode, T constant_border_value)
{
const int x = coord.x();
const int y = coord.y();
const auto width = static_cast<int>(in.shape().x());
const auto height = static_cast<int>(in.shape().y());
// If coordinates beyond range of tensor's width or height
if(x < 0 || y < 0 || x >= width || y >= height)
{
if(border_mode == BorderMode::REPLICATE)
{
coord.set(0, std::max(0, std::min(x, width - 1)));
coord.set(1, std::max(0, std::min(y, height - 1)));
}
else
{
return constant_border_value;
}
}
return in[coord2index(in.shape(), coord)];
}
template float tensor_elem_at(const SimpleTensor<float> &in, Coordinates coord, BorderMode border_mode, float constant_border_value);
template uint8_t tensor_elem_at(const SimpleTensor<uint8_t> &in, Coordinates coord, BorderMode border_mode, uint8_t constant_border_value);
// Return the bilinear value at a specified coordinate with different border modes
template <typename T>
T bilinear_policy(const SimpleTensor<T> &in, Coordinates id, float xn, float yn, BorderMode border_mode, uint8_t constant_border_value)
{
int idx = std::floor(xn);
int idy = std::floor(yn);
const float dx = xn - idx;
const float dy = yn - idy;
const float dx_1 = 1.0f - dx;
const float dy_1 = 1.0f - dy;
id.set(0, idx);
id.set(1, idy);
const T tl = tensor_elem_at(in, id, border_mode, constant_border_value);
id.set(0, idx + 1);
id.set(1, idy);
const T tr = tensor_elem_at(in, id, border_mode, constant_border_value);
id.set(0, idx);
id.set(1, idy + 1);
const T bl = tensor_elem_at(in, id, border_mode, constant_border_value);
id.set(0, idx + 1);
id.set(1, idy + 1);
const T br = tensor_elem_at(in, id, border_mode, constant_border_value);
return tl * (dx_1 * dy_1) + tr * (dx * dy_1) + bl * (dx_1 * dy) + br * (dx * dy);
}
template uint8_t bilinear_policy(const SimpleTensor<uint8_t> &in, Coordinates id, float xn, float yn, BorderMode border_mode, uint8_t constant_border_value);
/* Apply 2D spatial filter on a single element of @p in at coordinates @p coord
*
* - filter sizes have to be odd number
* - Row major order of filter assumed
* - TO_ZERO rounding policy assumed
* - SATURATE convert policy assumed
*
*/
template <typename T1, typename T2, typename T3>
void apply_2d_spatial_filter(Coordinates coord, const SimpleTensor<T1> &in, SimpleTensor<T3> &out, const TensorShape &filter_shape, const T2 *filter_itr, float scale, BorderMode border_mode,
T1 constant_border_value)
{
double val = 0;
const int x = coord.x();
const int y = coord.y();
for(int j = y - static_cast<int>(filter_shape[1] / 2); j <= y + static_cast<int>(filter_shape[1] / 2); ++j)
{
for(int i = x - static_cast<int>(filter_shape[0] / 2); i <= x + static_cast<int>(filter_shape[0] / 2); ++i)
{
coord.set(0, i);
coord.set(1, j);
val += static_cast<double>(*filter_itr) * tensor_elem_at(in, coord, border_mode, constant_border_value);
++filter_itr;
}
}
coord.set(0, x);
coord.set(1, y);
const double rounded_val = support::cpp11::trunc(val * static_cast<double>(scale));
out[coord2index(in.shape(), coord)] = saturate_cast<T3>(rounded_val);
}
template void apply_2d_spatial_filter(Coordinates coord, const SimpleTensor<float> &in, SimpleTensor<float> &out, const TensorShape &filter_shape, const float *filter_itr, float scale,
BorderMode border_mode,
float constant_border_value);
template void apply_2d_spatial_filter(Coordinates coord, const SimpleTensor<uint8_t> &in, SimpleTensor<uint8_t> &out, const TensorShape &filter_shape, const uint8_t *filter_itr, float scale,
BorderMode border_mode,
uint8_t constant_border_value);
RawTensor transpose(const RawTensor &src, int chunk_width)
{
// Create reference
TensorShape dst_shape(src.shape());
dst_shape.set(0, src.shape().y() * chunk_width);
dst_shape.set(1, std::ceil(src.shape().x() / static_cast<float>(chunk_width)));
RawTensor dst{ dst_shape, src.data_type() };
// Compute reference
uint8_t *out_ptr = dst.data();
for(int i = 0; i < dst.num_elements(); i += chunk_width)
{
Coordinates coord = index2coord(dst.shape(), i);
size_t coord_x = coord.x();
coord.set(0, coord.y() * chunk_width);
coord.set(1, coord_x / chunk_width);
const int num_elements = std::min<int>(chunk_width, src.shape().x() - coord.x());
std::copy_n(static_cast<const uint8_t *>(src(coord)), num_elements * src.element_size(), out_ptr);
out_ptr += chunk_width * dst.element_size();
}
return dst;
}
} // namespace validation
} // namespace test
} // namespace arm_compute
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