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/*
* Copyright (c) 2016, 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 "arm_compute/runtime/NEON/functions/NEScale.h"
#include "arm_compute/core/Coordinates.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/NEON/kernels/NEScaleKernel.h"
#include "arm_compute/core/PixelValue.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Window.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "support/ToolchainSupport.h"
#include <cmath>
#include <cstddef>
#include <utility>
using namespace arm_compute;
namespace
{
void precompute_dx_dy_offsets(ITensor *dx, ITensor *dy, ITensor *offsets, float wr, float hr, size_t input_element_size)
{
ARM_COMPUTE_ERROR_ON(nullptr == offsets);
Window win;
win.set(Window::DimX, Window::Dimension(0, offsets->info()->dimension(0), 1));
win.set(Window::DimY, Window::Dimension(0, offsets->info()->dimension(1), 1));
if(dx != nullptr && dy != nullptr)
{
// Pre-compute the offset and pixel's distance for BILINEAR interpolation
Iterator offsets_it(offsets, win);
Iterator dx_it(dx, win);
Iterator dy_it(dy, win);
execute_window_loop(win, [&](const Coordinates & id)
{
const float in_x = (id.x() + 0.5f) * wr - 0.5f;
const float in_y = (id.y() + 0.5f) * hr - 0.5f;
const int in_xi = std::floor(in_x);
const int in_yi = std::floor(in_y);
*reinterpret_cast<int32_t *>(offsets_it.ptr()) = in_xi * input_element_size;
*reinterpret_cast<float *>(dx_it.ptr()) = in_x - in_xi;
*reinterpret_cast<float *>(dy_it.ptr()) = in_y - in_yi;
},
offsets_it, dx_it, dy_it);
}
else
{
// Pre-compute the offset for NEAREST interpolation
Iterator offsets_it(offsets, win);
execute_window_loop(win, [&](const Coordinates & id)
{
const size_t in_xi = (id.x() + 0.5f) * wr;
*reinterpret_cast<int32_t *>(offsets_it.ptr()) = in_xi * input_element_size;
},
offsets_it);
}
}
} // namespace
NEScale::NEScale()
: _offsets(), _dx(), _dy()
{
}
void NEScale::configure(ITensor *input, ITensor *output, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)
{
ARM_COMPUTE_ERROR_ON(nullptr == input);
ARM_COMPUTE_ERROR_ON(nullptr == output);
for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i)
{
ARM_COMPUTE_ERROR_ON(input->info()->dimension(i) != output->info()->dimension(i));
}
// Get the tensor shape
const TensorShape shape(output->info()->dimension(0), output->info()->dimension(1));
// Compute the ratio between source width/height and destination width/height
const auto wr = static_cast<float>(input->info()->dimension(0)) / static_cast<float>(output->info()->dimension(0));
const auto hr = static_cast<float>(input->info()->dimension(1)) / static_cast<float>(output->info()->dimension(1));
// Get the element size of the input image
const size_t input_element_size = input->info()->element_size();
// Area interpolation behaves as Nearest Neighbour in case of up-sampling
if(policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f)
{
policy = InterpolationPolicy::NEAREST_NEIGHBOR;
}
auto k = arm_compute::support::cpp14::make_unique<NEScaleKernel>();
// Check if the border mode is UNDEFINED
const bool border_undefined = border_mode == BorderMode::UNDEFINED;
switch(policy)
{
case InterpolationPolicy::NEAREST_NEIGHBOR:
{
TensorInfo tensor_info_offsets(shape, Format::S32);
_offsets.allocator()->init(tensor_info_offsets);
k->configure(input, nullptr, nullptr, &_offsets, output, policy, border_undefined);
// Allocate once the configure methods have been called
_offsets.allocator()->allocate();
// Pre-compute offsets for nearest interpolation
precompute_dx_dy_offsets(nullptr, nullptr, &_offsets, wr, hr, input_element_size);
break;
}
case InterpolationPolicy::BILINEAR:
{
TensorInfo tensor_info_offsets(shape, Format::S32);
TensorInfo tensor_info_dxdy(shape, Format::F32);
_offsets.allocator()->init(tensor_info_offsets);
_dx.allocator()->init(tensor_info_dxdy);
_dy.allocator()->init(tensor_info_dxdy);
k->configure(input, &_dx, &_dy, &_offsets, output, policy, border_undefined);
// Allocate once the configure methods have been called
_offsets.allocator()->allocate();
_dx.allocator()->allocate();
_dy.allocator()->allocate();
// Pre-compute dx, dy and offsets for bilinear interpolation
precompute_dx_dy_offsets(&_dx, &_dy, &_offsets, wr, hr, input_element_size);
break;
}
case InterpolationPolicy::AREA:
{
k->configure(input, nullptr, nullptr, nullptr, output, policy, border_undefined);
break;
}
default:
ARM_COMPUTE_ERROR("Unsupported interpolation mode");
}
_kernel = std::move(k);
_border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value));
}