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Diffstat (limited to 'src/core/Helpers.cpp')
-rw-r--r-- | src/core/Helpers.cpp | 164 |
1 files changed, 164 insertions, 0 deletions
diff --git a/src/core/Helpers.cpp b/src/core/Helpers.cpp new file mode 100644 index 0000000000..ff903e9802 --- /dev/null +++ b/src/core/Helpers.cpp @@ -0,0 +1,164 @@ +/* + * Copyright (c) 2016, 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/Helpers.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/IKernel.h" +#include "arm_compute/core/ITensorInfo.h" +#include "arm_compute/core/Utils.h" + +#include <algorithm> +#include <cstdint> + +using namespace arm_compute; + +Window arm_compute::calculate_max_window(const ITensorInfo &info, const Steps &steps, bool skip_border, BorderSize border_size) +{ + if(!skip_border) + { + border_size = BorderSize(0); + } + + const Coordinates &anchor = info.valid_region().anchor; + const TensorShape &shape = info.valid_region().shape; + + Window window; + + window.set(0, Window::Dimension( + // Skip the border left of the image + anchor[0] + border_size.left, + // Skip the border right of the image + // Make sure the window width is a multiple of the step size + anchor[0] + border_size.left + ceil_to_multiple(shape[0] - border_size.left - border_size.right, steps[0]), + steps[0])); + + size_t n = 1; + const TensorShape &tensor_shape = info.tensor_shape(); + + if(tensor_shape.num_dimensions() > 1) + { + window.set(1, Window::Dimension( + // Skip the border above the image + anchor[1] + border_size.top, + // Skip the border below the image + anchor[1] + border_size.top + ceil_to_multiple(shape[1] - border_size.top - border_size.bottom, steps[1]), + steps[1])); + + ++n; + } + + for(; n < Coordinates::num_max_dimensions; ++n) + { + window.set(n, Window::Dimension(0, std::max<size_t>(1, tensor_shape[n]))); + } + + return window; +} + +Window arm_compute::calculate_max_enlarged_window(const ITensorInfo &info, const Steps &steps, BorderSize border_size) +{ + const Coordinates &anchor = info.valid_region().anchor; + const TensorShape &shape = info.valid_region().shape; + + Window window; + + window.set(0, Window::Dimension( + // move the anchor to the start from the border + anchor[0] - border_size.left, + // move the anchor to include the right end border + // Make sure the window width is a multiple of the step size + anchor[0] - border_size.left + ceil_to_multiple(shape[0] + border_size.left + border_size.right, steps[0]), + steps[0])); + + size_t n = 1; + const TensorShape &tensor_shape = info.tensor_shape(); + + if(tensor_shape.num_dimensions() > 1) + { + window.set(1, Window::Dimension( + // Include the border above the image + anchor[1] - border_size.top, + // Include the border below the image + anchor[1] - border_size.top + ceil_to_multiple(shape[1] + border_size.top + border_size.bottom, steps[1]), + steps[1])); + + ++n; + } + + for(; n < Coordinates::num_max_dimensions; ++n) + { + window.set(n, Window::Dimension(0, std::max<size_t>(1, tensor_shape[n]))); + } + + return window; +} + +Window arm_compute::calculate_max_window_horizontal(const ITensorInfo &info, const Steps &steps, bool skip_border, BorderSize border_size) +{ + if(skip_border) + { + border_size.top = 0; + border_size.bottom = 0; + } + else + { + border_size.left = 0; + border_size.right = 0; + } + + const Coordinates &anchor = info.valid_region().anchor; + const TensorShape &shape = info.valid_region().shape; + + Window window; + + window.set(0, Window::Dimension( + // Skip the border left of the image + anchor[0] + border_size.left, + // Skip the border right of the image + // Make sure the window width is a multiple of the step size + anchor[0] + border_size.left + ceil_to_multiple(shape[0] - border_size.left - border_size.right, steps[0]), + steps[0])); + + size_t n = 1; + const TensorShape &tensor_shape = info.tensor_shape(); + + if(tensor_shape.num_dimensions() > 1) + { + window.set(1, Window::Dimension( + // Skip the border above the image + anchor[1] - border_size.top, + // Skip the border below the image + anchor[1] + shape[1] + border_size.bottom, + 1)); + + ++n; + } + + for(; n < Coordinates::num_max_dimensions; ++n) + { + window.set(n, Window::Dimension(0, std::max<size_t>(1, tensor_shape[n]))); + } + + return window; +} |