/* * 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(0, _start_x)); if(_info->num_dimensions() > 1) { anchor.set(1, std::max(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(_end_x, _info->tensor_shape()[0])); if(_info->num_dimensions() > 1) { shape.set(1, std::min(_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(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(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(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(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(static_cast(offset_first_element) - front_pad_y * strides[1], stride_y - shape[0] * strides[0]) / static_cast(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(shape[0])) { const int tail_pad_x_available = (stride_y / strides[0]) - shape[0] - front_pad_x; if(static_cast(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(0, _end_x - shape[0]); padding.top = std::max(0, -_start_y); padding.bottom = std::max(0, _end_y - shape[1]); // Update strides in tensor info return _info->extend_padding(padding); }