diff options
Diffstat (limited to 'arm_compute/core/Window.inl')
| -rw-r--r-- | arm_compute/core/Window.inl | 75 |
1 files changed, 48 insertions, 27 deletions
diff --git a/arm_compute/core/Window.inl b/arm_compute/core/Window.inl index 6100d09a1c..0f7c4fbdd7 100644 --- a/arm_compute/core/Window.inl +++ b/arm_compute/core/Window.inl @@ -1,5 +1,5 @@ /* - * Copyright (c) 2016-2020 Arm Limited. + * Copyright (c) 2016-2020, 2022-2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -21,12 +21,16 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ + +#ifndef ACL_ARM_COMPUTE_CORE_WINDOW_INL +#define ACL_ARM_COMPUTE_CORE_WINDOW_INL + namespace arm_compute { inline Window::Window(const Window &src) : _dims(), _is_broadcasted(utility::generate_array<bool, Coordinates::num_max_dimensions, false>::value) { - for(size_t i = 0; i < Coordinates::num_max_dimensions; ++i) + for (size_t i = 0; i < Coordinates::num_max_dimensions; ++i) { set(i, src[i]); _is_broadcasted[i] = src.is_broadcasted(i); @@ -65,32 +69,34 @@ inline bool Window::is_broadcasted(size_t dimension) const return _is_broadcasted[dimension]; } -inline Window Window::collapse_if_possible(const Window &full_window, const size_t first, - const size_t last, bool *has_collapsed) const +inline Window Window::collapse_if_possible(const Window &full_window, + const size_t first, + const size_t last, + bool *has_collapsed) const { Window collapsed(*this); bool is_collapsable = true; int collapsed_end = _dims[first].end(); - for(size_t d = first + 1; is_collapsable && (d < last); ++d) + for (size_t d = first + 1; is_collapsable && (d < last); ++d) { // The _dims's dimension must match the full _dims dimension to be collapsable: - is_collapsable = (_dims[d].start() == 0) && (full_window[d].start() == 0) && (_dims[d].step() <= 1) - && (full_window[d].end() == _dims[d].end()); + is_collapsable = (_dims[d].start() == 0) && (full_window[d].start() == 0) && (_dims[d].step() <= 1) && + (full_window[d].end() == _dims[d].end()); collapsed_end *= _dims[d].end(); } - if(is_collapsable) + if (is_collapsable) { collapsed._dims.at(first).set_end(collapsed_end); - for(size_t d = first + 1; is_collapsable && (d < last); ++d) + for (size_t d = first + 1; is_collapsable && (d < last); ++d) { collapsed.set(d, Dimension()); } } - if(has_collapsed != nullptr) + if (has_collapsed != nullptr) { *has_collapsed = is_collapsable; } @@ -98,13 +104,21 @@ inline Window Window::collapse_if_possible(const Window &full_window, const size return collapsed; } -inline Window Window::shift_dimensions(unsigned int shift_value) const +inline Window Window::shift_dimensions(unsigned int shift_value, unsigned int start_dim) const { Window shifted_window; - for(size_t n = 0; n < (Coordinates::num_max_dimensions - shift_value); n++) + size_t n = 0; + + for (; n < start_dim; ++n) + { + shifted_window.set(n, _dims[n]); + } + + for (; n < (Coordinates::num_max_dimensions - shift_value); n++) { shifted_window.set(n, _dims[n + shift_value]); } + return shifted_window; } @@ -120,9 +134,9 @@ inline Window Window::collapse(const Window &full_window, const size_t first, co inline Window Window::broadcast_if_dimension_le_one(const TensorShape &shape) const { Window broadcastWin(*this); - for(size_t d = 0; d < TensorShape::num_max_dimensions; ++d) + for (size_t d = 0; d < TensorShape::num_max_dimensions; ++d) { - if(shape[d] <= 1) + if (shape[d] <= 1) { broadcastWin.set_broadcasted(d); } @@ -142,7 +156,7 @@ inline void Window::adjust(size_t dimension, int adjust_value, bool is_at_start) ARM_COMPUTE_ERROR_ON(dimension >= Coordinates::num_max_dimensions); Window::Dimension &d = _dims[dimension]; - if(is_at_start) + if (is_at_start) { d = Window::Dimension(d.start() + adjust_value, d.end(), d.step()); } @@ -172,7 +186,7 @@ inline void Window::set_dimension_step(size_t dimension, int step) inline void Window::validate() const { - for(size_t i = 0; i < Coordinates::num_max_dimensions; ++i) + for (size_t i = 0; i < Coordinates::num_max_dimensions; ++i) { ARM_COMPUTE_ERROR_ON(_dims[i].end() < _dims[i].start()); ARM_COMPUTE_ERROR_ON((_dims[i].step() != 0) && (((_dims[i].end() - _dims[i].start()) % _dims[i].step()) != 0)); @@ -193,9 +207,9 @@ inline Window Window::split_window(size_t dimension, size_t id, size_t total) co Window out; - for(size_t d = 0; d < Coordinates::num_max_dimensions; ++d) + for (size_t d = 0; d < Coordinates::num_max_dimensions; ++d) { - if(d == dimension) + if (d == dimension) { int start = _dims[d].start(); int end = _dims[d].end(); @@ -207,7 +221,7 @@ inline Window Window::split_window(size_t dimension, size_t id, size_t total) co int it_start = work * id; - if(int(id) < rem) + if (int(id) < rem) { ++work; it_start += id; @@ -234,18 +248,18 @@ inline Window Window::split_window(size_t dimension, size_t id, size_t total) co template <unsigned int window_dimension> inline bool Window::slide_window_slice(Window &slice) const { - for(unsigned int n = window_dimension; n < Coordinates::num_max_dimensions; ++n) + for (unsigned int n = window_dimension; n < Coordinates::num_max_dimensions; ++n) { // Did we reach the end of this dimension? const int v = slice._dims[n].start() + 1; - if(v < _dims[n].end()) + if (v < _dims[n].end()) { // No: increment slice._dims[n] = Dimension(v, v + 1, 1); // Reset lower dimensions: - for(unsigned int lower = window_dimension; lower < n; ++lower) + for (unsigned int lower = window_dimension; lower < n; ++lower) { slice._dims[lower] = Dimension(_dims[lower].start(), _dims[lower].start() + 1, 1); } @@ -258,14 +272,14 @@ inline bool Window::slide_window_slice(Window &slice) const } template <unsigned int window_dimension> -inline Window Window::first_slice_window() const +inline Window Window::first_slice_window() const { Window slice; std::copy_n(_dims.begin(), window_dimension, slice._dims.begin()); //Initialise higher dimensions to be the first slice. - for(unsigned int n = window_dimension; n < Coordinates::num_max_dimensions; ++n) + for (unsigned int n = window_dimension; n < Coordinates::num_max_dimensions; ++n) { slice._dims[n] = Dimension(_dims[n].start(), _dims[n].start() + 1, 1); } @@ -275,7 +289,7 @@ inline Window Window::first_slice_window() const inline void Window::use_tensor_dimensions(const TensorShape &shape, size_t first_dimension) { - for(unsigned int n = first_dimension; n < shape.num_dimensions(); ++n) + for (unsigned int n = first_dimension; n < shape.num_dimensions(); ++n) { set(n, Window::Dimension(0, std::max(shape[n], static_cast<size_t>(1)))); } @@ -284,7 +298,7 @@ inline void Window::use_tensor_dimensions(const TensorShape &shape, size_t first inline TensorShape Window::shape() const { TensorShape shape; - for(size_t d = 0; d < TensorShape::num_max_dimensions; ++d) + for (size_t d = 0; d < TensorShape::num_max_dimensions; ++d) { shape.set(d, (_dims[d].end() - _dims[d].start()) / _dims[d].step()); } @@ -294,7 +308,7 @@ inline TensorShape Window::shape() const inline size_t Window::num_iterations_total() const { size_t total = 1; - for(size_t d = 0; d < Coordinates::num_max_dimensions; ++d) + for (size_t d = 0; d < Coordinates::num_max_dimensions; ++d) { total *= num_iterations(d); } @@ -305,4 +319,11 @@ inline void swap(Window &lhs, Window &rhs) { lhs._dims.swap(rhs._dims); } + +inline bool operator==(const Window &lhs, const Window &rhs) +{ + return (lhs._dims == rhs._dims) && (lhs._is_broadcasted == rhs._is_broadcasted); +} } // namespace arm_compute + +#endif // ACL_ARM_COMPUTE_CORE_WINDOW_INL |