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24 #include "arm_compute/core/IAccessWindow.h"
26 #include "arm_compute/core/Helpers.h"
27 #include "arm_compute/core/TensorInfo.h"
28 #include "arm_compute/core/Window.h"
30 using namespace arm_compute;
32 void AccessWindowRectangle::set_valid_region(const Window &window, ValidRegion input_valid_region)
34 set_valid_region(window, std::move(input_valid_region), false, BorderSize(0));
37 void AccessWindowRectangle::set_valid_region(const Window &window, ValidRegion input_valid_region, bool border_undefined, BorderSize border_size)
44 Coordinates &anchor = input_valid_region.anchor;
45 Coordinates old_anchor(anchor);
46 TensorShape &shape = input_valid_region.shape;
50 border_size = BorderSize(0);
53 // Start of the valid region is equal to the start of the window. But it
54 // cannot be less than the start of the input's valid region plus the border
55 // size required by this kernel (if undefined).
56 // Additionally the valid region is shifted by the offset that is used by
57 // the kernel to write back output values.
58 anchor.set(0, std::max<int>(window.x().start() * _scale_x, anchor[0] + border_size.left) + _x);
59 anchor.set(1, std::max<int>(window.y().start() * _scale_y, anchor[1] + border_size.top) + _y);
61 // End of the valid region is equal to the start of the last write of the
62 // kernel plus the number of written elements. (This assumes that all
63 // written elements are valid). Nevertheless the end cannot be larger than
64 // the end of the input's valid region minus the border size.
65 // Note: not the end points of the region are stored but its size. Thus the
66 // old size is first converted into end points to compared against the
67 // execution window. Afterwards the new end points are converted back into
68 // a size of the region.
69 shape.set(0, std::min<int>(old_anchor[0] + shape[0] - border_size.right, (window.x().end() - window.x().step()) * _scale_x + _width) - anchor[0]);
70 shape.set(1, std::min<int>(old_anchor[1] + shape[1] - border_size.bottom, (window.y().end() - window.y().step()) * _scale_y + _height) - anchor[1]);
72 // For higher dimensions use the intersection of the window size and the
73 // valid region of the input
74 for(size_t d = 2; d < _info->num_dimensions(); ++d)
76 anchor.set(d, std::max(window[d].start(), input_valid_region.anchor[d]));
77 shape.set(d, std::min<int>(window[d].end(), input_valid_region.shape[d]) - anchor[d]);
80 _info->set_valid_region(input_valid_region);
83 bool AccessWindowRectangle::update_window_if_needed(Window &window) const
85 // Only update the window size if we can't use padding
86 if(_info == nullptr || _info->is_resizable())
91 const TensorShape &shape = _info->tensor_shape();
92 const Strides &strides = _info->strides_in_bytes();
93 const size_t offset_first_element = _info->offset_first_element_in_bytes();
95 bool window_modified = false;
99 const int min_y = window.y().start() * _scale_y + _y;
100 const int max_y = (window.y().end() - window.y().step()) * _scale_y + _y + _height;
102 // Adjust window start for Y dimension
105 // Calculate rows available above the tensor
106 const int front_pad_y_available = -static_cast<int>(offset_first_element / strides[1]);
108 if(min_y < front_pad_y_available)
110 // Not enough padding available, need to shrink the window
111 const int start = adjust_up(min_y, front_pad_y_available, window.y().step() * _scale_y) - _y;
113 window.set(1, Window::Dimension(start / _scale_y, window.y().end(), window.y().step()));
114 window_modified = true;
117 // Update front padding with reconstructed value
118 front_pad_y = std::max(0, static_cast<int>(std::floor(-window.y().start() * _scale_y)) - _y);
121 // Adjust window end for Y dimension
122 if(max_y > static_cast<int>(shape[1]))
124 const int stride_z = _info->num_dimensions() > 2 ? strides[2] : _info->total_size();
126 // Calculate rows available below the tensor
127 const int tail_pad_y_available = (stride_z / strides[1]) - shape[1] - front_pad_y;
129 if(static_cast<int>(shape[1]) + tail_pad_y_available < max_y)
131 // Not enough padding available, need to shrink the window
132 const int end = adjust_down(max_y, shape[1] + tail_pad_y_available, window.y().step() * _scale_y) + window.y().step() * _scale_y - _y - _height;
133 window.set(1, Window::Dimension(window.y().start(), end / _scale_y, window.y().step()));
134 window_modified = true;
140 const int min_x = window.x().start() * _scale_x + _x;
141 const int max_x = (window.x().end() - window.x().step()) * _scale_x + _x + _width;
143 const int stride_y = _info->num_dimensions() > 1 ? strides[1] : _info->total_size();
145 // Adjust window start for X dimension
148 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]);
150 if(min_x < front_pad_x_available)
152 // Not enough padding available, need to shrink the window
153 const int start = adjust_up(min_x, front_pad_x_available, window.x().step() * _scale_x) - _x;
154 window.set(0, Window::Dimension(start / _scale_x, window.x().end(), window.x().step()));
155 window_modified = true;
158 // Update front padding with reconstructed value
159 front_pad_x = std::max(0, static_cast<int>(std::floor(-window.x().start() * _scale_x)) - _x);
162 // Adjust window end for X dimension
163 if(max_x > static_cast<int>(shape[0]))
165 const int tail_pad_x_available = (stride_y / strides[0]) - shape[0] - front_pad_x;
167 if(static_cast<int>(shape[0]) + tail_pad_x_available < max_x)
169 // Not enough padding available, need to shrink the window
170 const int end = adjust_down(max_x, shape[0] + tail_pad_x_available, window.x().step() * _scale_x) + window.x().step() * _scale_x - _x - _width;
171 window.set(0, Window::Dimension(window.x().start(), end / _scale_x, window.x().step()));
172 window_modified = true;
176 return window_modified;
179 bool AccessWindowRectangle::update_padding_if_needed(const Window &window) const
181 // Only update the padding if the tensor allows it
182 if(_info == nullptr || !_info->is_resizable())
187 ARM_COMPUTE_ERROR_ON(window.x().step() * _scale_x == 0);
188 ARM_COMPUTE_ERROR_ON(window.y().step() * _scale_y == 0);
190 const int min_x = window.x().start() * _scale_x + _x;
191 const int max_x = (window.x().end() - window.x().step()) * _scale_x + _x + _width;
192 const int min_y = window.y().start() * _scale_y + _y;
193 const int max_y = (window.y().end() - window.y().step()) * _scale_y + _y + _height;
195 const TensorShape &shape = _info->tensor_shape();
198 padding.left = std::max(0, -min_x);
199 padding.right = std::max<int>(0, max_x - shape[0]);
200 padding.top = shape.num_dimensions() == 1 ? 0 : std::max(0, -min_y);
201 padding.bottom = shape.num_dimensions() == 1 ? 0 : std::max<int>(0, max_y - shape[1]);
203 // Update strides in tensor info
204 return _info->extend_padding(padding);