| /* |
| * 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/runtime/NEON/functions/NEConvolution.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/NEON/kernels/NEConvolutionKernel.h" |
| #include "arm_compute/core/PixelValue.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/runtime/NEON/NEScheduler.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| #include "support/ToolchainSupport.h" |
| |
| #include <array> |
| #include <utility> |
| |
| using namespace arm_compute; |
| |
| void NEConvolution3x3::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| auto k = arm_compute::support::cpp14::make_unique<NEConvolution3x3Kernel>(); |
| k->configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED); |
| _kernel = std::move(k); |
| _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); |
| } |
| |
| template <unsigned int matrix_size> |
| NEConvolutionSquare<matrix_size>::NEConvolutionSquare(std::shared_ptr<IMemoryManager> memory_manager) |
| : _memory_group(std::move(memory_manager)), _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler() |
| { |
| } |
| |
| template <unsigned int matrix_size> |
| void NEConvolutionSquare<matrix_size>::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| ARM_COMPUTE_ERROR_ON(conv == nullptr); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16); |
| |
| std::array<int16_t, matrix_size> conv_col{ { 0 } }; |
| std::array<int16_t, matrix_size> conv_row{ { 0 } }; |
| |
| _is_separable = separate_matrix(conv, conv_col.data(), conv_row.data(), matrix_size); |
| |
| if(_is_separable) |
| { |
| DataType intermediate_type = DataType::UNKNOWN; |
| std::tie(std::ignore, intermediate_type) = data_type_for_convolution(conv_col.data(), conv_row.data(), matrix_size); |
| |
| _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, intermediate_type)); |
| |
| // Manage intermediate buffers |
| _memory_group.manage(&_tmp); |
| |
| // Calculate scale |
| if(scale == 0) |
| { |
| scale = calculate_matrix_scale(conv, matrix_size); |
| } |
| |
| _kernel_hor.configure(input, &_tmp, conv_row.data(), border_mode == BorderMode::UNDEFINED); |
| _kernel_vert.configure(&_tmp, output, conv_col.data(), scale, border_mode == BorderMode::UNDEFINED); |
| |
| _tmp.allocator()->allocate(); |
| |
| _border_handler.configure(input, _kernel_hor.border_size(), border_mode, PixelValue(constant_border_value)); |
| } |
| else |
| { |
| _kernel.configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED); |
| _border_handler.configure(input, _kernel.border_size(), border_mode, PixelValue(constant_border_value)); |
| } |
| } |
| |
| template <unsigned int matrix_size> |
| void NEConvolutionSquare<matrix_size>::run() |
| { |
| NEScheduler::get().schedule(&_border_handler, Window::DimZ); |
| |
| if(_is_separable) |
| { |
| _memory_group.acquire(); |
| |
| NEScheduler::get().schedule(&_kernel_hor, Window::DimY); |
| NEScheduler::get().schedule(&_kernel_vert, Window::DimY); |
| |
| _memory_group.release(); |
| } |
| else |
| { |
| NEScheduler::get().schedule(&_kernel, Window::DimY); |
| } |
| } |
| |
| template class arm_compute::NEConvolutionSquare<5>; |
| template class arm_compute::NEConvolutionSquare<7>; |
| template class arm_compute::NEConvolutionSquare<9>; |
| |
| void NEConvolutionRectangle::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t rows, uint32_t cols, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| auto k = arm_compute::support::cpp14::make_unique<NEConvolutionRectangleKernel>(); |
| k->configure(input, output, conv, rows, cols, scale, border_mode == BorderMode::UNDEFINED); |
| _kernel = std::move(k); |
| _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); |
| } |