| /* |
| * 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/NEON/kernels/NEFillInnerBorderKernel.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| |
| #include <algorithm> |
| #include <cstddef> |
| #include <cstdint> |
| |
| using namespace arm_compute; |
| |
| namespace arm_compute |
| { |
| class Coordinates; |
| } // namespace arm_compute |
| |
| NEFillInnerBorderKernel::NEFillInnerBorderKernel() |
| : _tensor(nullptr), _border_size(0), _constant_border_value(0) |
| { |
| } |
| |
| void NEFillInnerBorderKernel::configure(ITensor *input, BorderSize border_size, const PixelValue &constant_border_value) |
| { |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16, DataType::S32, DataType::F32); |
| |
| _tensor = input; |
| _border_size = border_size; |
| _constant_border_value = constant_border_value; |
| |
| Window win; |
| win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| win.set(Window::DimY, Window::Dimension(0, 1, 1)); |
| win.use_tensor_dimensions(_tensor->info(), Window::DimZ); |
| INEKernel::configure(win); |
| } |
| |
| void NEFillInnerBorderKernel::run(const Window &window) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| |
| // If there is no border: early exit |
| if(_border_size.empty()) |
| { |
| return; |
| } |
| |
| switch(_tensor->info()->data_type()) |
| { |
| case DataType::U8: |
| fill_value_single_channel<uint8_t>(window); |
| break; |
| case DataType::S16: |
| fill_value_single_channel<int16_t>(window); |
| break; |
| case DataType::S32: |
| fill_value_single_channel<int32_t>(window); |
| break; |
| case DataType::F32: |
| static_assert(sizeof(float) == 4, "Float must be 32 bit"); |
| fill_value_single_channel<float>(window); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Not handled"); |
| break; |
| } |
| } |
| |
| template <typename T> |
| void NEFillInnerBorderKernel::fill_value_single_channel(const Window &window) |
| { |
| const size_t stride = _tensor->info()->strides_in_bytes()[1]; |
| const size_t width = _tensor->info()->dimension(0); |
| const size_t height = _tensor->info()->dimension(1); |
| |
| T constant_border_value; |
| _constant_border_value.get(constant_border_value); |
| |
| // Left and right border |
| // All X values are set at once |
| Window vertical(window); |
| vertical.set(Window::DimY, Window::Dimension(0, height, 1)); |
| |
| Iterator vertical_it(_tensor, vertical); |
| |
| execute_window_loop(vertical, [&](const Coordinates & id) |
| { |
| std::fill_n(reinterpret_cast<T *>(vertical_it.ptr()), _border_size.left, constant_border_value); |
| std::fill_n(reinterpret_cast<T *>(vertical_it.ptr()) + width - _border_size.right, _border_size.right, constant_border_value); |
| }, |
| vertical_it); |
| |
| // Top and bottom border |
| // All values are set at once |
| Iterator horizontal_it(_tensor, window); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| for(size_t i = 0; i < _border_size.top; ++i) |
| { |
| std::fill_n(reinterpret_cast<T *>(horizontal_it.ptr() + i * stride), width, constant_border_value); |
| } |
| |
| for(size_t i = 0; i < _border_size.bottom; ++i) |
| { |
| std::fill_n(reinterpret_cast<T *>(horizontal_it.ptr() + (height - i - 1) * stride), width, constant_border_value); |
| } |
| }, |
| horizontal_it); |
| } |