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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 "arm_compute/core/AccessWindowStatic.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensorInfo.h"
#include "arm_compute/core/Window.h"
using namespace arm_compute;
AccessWindowStatic::AccessWindowStatic(ITensorInfo *info, int start_x, int start_y, int end_x, int end_y)
: _info(info), _start_x(start_x), _start_y(start_y), _end_x(end_x), _end_y(end_y)
{
}
ValidRegion AccessWindowStatic::compute_valid_region(const Window &window, ValidRegion input_valid_region, bool border_undefined, BorderSize border_size) const
{
ARM_COMPUTE_UNUSED(border_undefined);
ARM_COMPUTE_UNUSED(border_size);
return compute_valid_region(window, input_valid_region);
}
ValidRegion AccessWindowStatic::compute_valid_region(const Window &window, ValidRegion input_valid_region) const
{
if(_info == nullptr)
{
return input_valid_region;
}
Coordinates &anchor = input_valid_region.anchor;
TensorShape &shape = input_valid_region.shape;
// Start of the valid region is equal to the start of the static access but
// never outside of the tensor.
anchor.set(0, std::max<int>(0, _start_x));
if(_info->num_dimensions() > 1)
{
anchor.set(1, std::max<int>(0, _start_y));
}
// End of the valid region is equal to the end of the static access but
// never outside of the tensor.
shape.set(0, std::min<int>(_end_x, _info->tensor_shape()[0]));
if(_info->num_dimensions() > 1)
{
shape.set(1, std::min<int>(_end_y, _info->tensor_shape()[1]));
}
// For higher dimension use the intersection of the window size and the
// valid region of the input
for(size_t d = 2; d < _info->num_dimensions(); ++d)
{
anchor.set(d, std::max(window[d].start(), input_valid_region.anchor[d]));
shape.set(d, std::min<int>(window[d].end(), input_valid_region.shape[d]) - anchor[d]);
}
return input_valid_region;
}
void AccessWindowStatic::set_valid_region(const Window &window, const ValidRegion &input_valid_region)
{
if(_info != nullptr)
{
_info->set_valid_region(compute_valid_region(window, input_valid_region));
}
}
bool AccessWindowStatic::update_window_if_needed(Window &window) const
{
// Only update the window size if we can't use padding
if(_info == nullptr || _info->is_resizable())
{
return false;
}
const TensorShape &shape = _info->tensor_shape();
const Strides &strides = _info->strides_in_bytes();
const size_t offset_first_element = _info->offset_first_element_in_bytes();
bool window_modified = false;
int front_pad_y = 0;
// Adjust window start for Y dimension
if(_start_y < 0)
{
// Calculate rows available above the tensor
const int front_pad_y_available = -static_cast<int>(offset_first_element / strides[1]);
if(_start_y < front_pad_y_available)
{
// Not enough padding available, need to shrink the window
const int start = adjust_up(_start_y, front_pad_y_available, window.y().step());
window.set(1, Window::Dimension(start, window.y().end(), window.y().step()));
window_modified = true;
}
// Update front padding with reconstructed value
front_pad_y = std::max(0, -window.y().start());
}
// Adjust window end for Y dimension
if(_end_y > static_cast<int>(shape[1]))
{
const int stride_z = _info->num_dimensions() > 2 ? strides[2] : _info->total_size();
// Calculate rows available below the tensor
const int tail_pad_y_available = (stride_z / strides[1]) - shape[1] - front_pad_y;
if(static_cast<int>(shape[1]) + tail_pad_y_available < _end_y)
{
// Not enough padding available, need to shrink the window
const int end = adjust_down(_end_y, shape[1] + tail_pad_y_available, window.y().step()) + window.y().step();
window.set(1, Window::Dimension(window.y().start(), end, window.y().step()));
window_modified = true;
}
}
int front_pad_x = 0;
const int stride_y = _info->num_dimensions() > 1 ? strides[1] : _info->total_size();
// Adjust window start for X dimension
if(_start_x < 0)
{
const int front_pad_x_available = -std::min<int>(static_cast<int>(offset_first_element) - front_pad_y * strides[1], stride_y - shape[0] * strides[0]) / static_cast<int>(strides[0]);
if(_start_x < front_pad_x_available)
{
// Not enough padding available, need to shrink the window
const int start = adjust_up(_start_x, front_pad_x_available, window.x().step());
window.set(0, Window::Dimension(start, window.x().end(), window.x().step()));
window_modified = true;
}
// Update front padding with reconstructed value
front_pad_x = std::max(0, -window.x().start());
}
// Adjust window end for X dimension
if(_end_x > static_cast<int>(shape[0]))
{
const int tail_pad_x_available = (stride_y / strides[0]) - shape[0] - front_pad_x;
if(static_cast<int>(shape[0]) + tail_pad_x_available < _end_x)
{
// Not enough padding available, need to shrink the window
const int end = adjust_down(_end_x, shape[0] + tail_pad_x_available, window.x().step()) + window.x().step();
window.set(0, Window::Dimension(window.x().start(), end, window.x().step()));
window_modified = true;
}
}
window.validate();
return window_modified;
}
bool AccessWindowStatic::update_padding_if_needed(const Window &window) const
{
ARM_COMPUTE_UNUSED(window);
// Only update the padding if the tensor allows it
if(_info == nullptr || !_info->is_resizable())
{
return false;
}
const TensorShape &shape = _info->tensor_shape();
PaddingSize padding;
padding.left = std::max(0, -_start_x);
padding.right = std::max<int>(0, _end_x - shape[0]);
padding.top = std::max(0, -_start_y);
padding.bottom = std::max<int>(0, _end_y - shape[1]);
// Update strides in tensor info
return _info->extend_padding(padding);
}
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