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authorAnthony Barbier <anthony.barbier@arm.com>2017-09-04 18:44:23 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-09-17 13:03:09 +0100
commit6ff3b19ee6120edf015fad8caab2991faa3070af (patch)
treea7a6dcd16dfd56d79fa1b56a313caeebcc939b68 /src/core/AccessWindowStatic.cpp
downloadComputeLibrary-6ff3b19ee6120edf015fad8caab2991faa3070af.tar.gz
COMPMID-344 Updated doxygen
Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
Diffstat (limited to 'src/core/AccessWindowStatic.cpp')
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1 files changed, 202 insertions, 0 deletions
diff --git a/src/core/AccessWindowStatic.cpp b/src/core/AccessWindowStatic.cpp
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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 = shape.num_dimensions() == 1 ? 0 : std::max(0, -_start_y);
+ padding.bottom = shape.num_dimensions() == 1 ? 0 : std::max<int>(0, _end_y - shape[1]);
+
+ // Update strides in tensor info
+ return _info->extend_padding(padding);
+}