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/*
* Copyright (c) 2017-2020 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 "arm_compute/core/CPP/kernels/CPPUpsampleKernel.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include <cstddef>
#include <cstdint>
namespace arm_compute
{
CPPUpsampleKernel::CPPUpsampleKernel()
: _input(nullptr), _output(nullptr), _info()
{
}
bool CPPUpsampleKernel::is_parallelisable() const
{
return false;
}
void CPPUpsampleKernel::configure(const ITensor *input, ITensor *output, const PadStrideInfo &info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
_input = input;
_output = output;
_info = info;
// Configure kernel window
Window win = calculate_max_window(*input->info(), Steps());
// The CPPUpsampleKernel doesn't need padding so update_window_and_padding() can be skipped
Coordinates coord;
coord.set_num_dimensions(output->info()->num_dimensions());
output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape()));
ICPPKernel::configure(win);
}
void CPPUpsampleKernel::run(const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window);
const DataLayout data_layout = _input->info()->data_layout();
const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
// Initialize _scaled_output buffer
const int width_scaled = _output->info()->dimension(idx_w);
const int height_scaled = _output->info()->dimension(idx_h);
const int stride_width = _info.stride().first;
const int stride_height = _info.stride().second;
const int start_width = _info.pad_left();
const int start_height = _info.pad_top();
const int end_width = width_scaled - _info.pad_right();
const int end_height = height_scaled - _info.pad_bottom();
const size_t element_size = _input->info()->element_size();
// The fill value is normally 0, but for quantized types '0' corresponds to the offset
switch(_output->info()->data_type())
{
case DataType::QASYMM8:
{
const uint8_t fill_value = _output->info()->quantization_info().uniform().offset;
std::fill_n(_output->buffer(), _output->info()->total_size(), fill_value);
}
break;
case DataType::QASYMM8_SIGNED:
{
const int8_t fill_value = _output->info()->quantization_info().uniform().offset;
std::fill_n(_output->buffer(), _output->info()->total_size(), fill_value);
}
break;
default:
std::fill_n(_output->buffer(), _output->info()->total_size(), 0);
}
// Create window
Window window_out(window);
if(data_layout == DataLayout::NCHW)
{
window_out.set(Window::DimX, Window::Dimension(start_width, end_width, stride_width));
window_out.set(Window::DimY, Window::Dimension(start_height, end_height, stride_height));
}
else
{
window_out.set(Window::DimY, Window::Dimension(start_width, end_width, stride_width));
window_out.set(Window::DimZ, Window::Dimension(start_height, end_height, stride_height));
}
// Create iterators
Iterator in(_input, window);
Iterator out(_output, window_out);
execute_window_loop(window, [&](const Coordinates &)
{
memcpy(out.ptr(), in.ptr(), element_size);
},
in, out);
}
} // namespace arm_compute
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