Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Sanghoon Lee | d7ba539 | 2017-12-13 11:28:50 +0000 | [diff] [blame] | 2 | * Copyright (c) 2016, 2018 ARM Limited. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/runtime/CL/functions/CLConvolution.h" |
| 25 | |
| 26 | #include "arm_compute/core/CL/ICLTensor.h" |
| 27 | #include "arm_compute/core/CL/kernels/CLConvolutionKernel.h" |
| 28 | #include "arm_compute/core/Error.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 29 | #include "arm_compute/core/PixelValue.h" |
| 30 | #include "arm_compute/core/TensorInfo.h" |
| 31 | #include "arm_compute/core/Utils.h" |
| 32 | #include "arm_compute/core/Validate.h" |
| 33 | #include "arm_compute/runtime/CL/CLScheduler.h" |
| 34 | #include "arm_compute/runtime/ITensorAllocator.h" |
Moritz Pflanzer | d0ae8b8 | 2017-06-29 14:51:57 +0100 | [diff] [blame] | 35 | #include "support/ToolchainSupport.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 36 | |
| 37 | #include <utility> |
| 38 | |
| 39 | using namespace arm_compute; |
| 40 | |
| 41 | void CLConvolution3x3::configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) |
| 42 | { |
Moritz Pflanzer | d0ae8b8 | 2017-06-29 14:51:57 +0100 | [diff] [blame] | 43 | auto k = arm_compute::support::cpp14::make_unique<CLConvolution3x3Kernel>(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 44 | k->configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED); |
| 45 | _kernel = std::move(k); |
| 46 | _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); |
| 47 | } |
| 48 | |
| 49 | template <unsigned int matrix_size> |
Georgios Pinitas | 8a94e7c | 2017-09-15 19:06:47 +0100 | [diff] [blame] | 50 | CLConvolutionSquare<matrix_size>::CLConvolutionSquare(std::shared_ptr<IMemoryManager> memory_manager) |
| 51 | : _memory_group(std::move(memory_manager)), _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler() |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 52 | { |
| 53 | } |
| 54 | |
| 55 | template <unsigned int matrix_size> |
Sanghoon Lee | d7ba539 | 2017-12-13 11:28:50 +0000 | [diff] [blame] | 56 | void CLConvolutionSquare<matrix_size>::configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, |
| 57 | uint8_t constant_border_value) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 58 | { |
| 59 | ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); |
| 60 | ARM_COMPUTE_ERROR_ON(conv == nullptr); |
| 61 | int16_t conv_col[matrix_size]; |
| 62 | int16_t conv_row[matrix_size]; |
| 63 | _is_separable = separate_matrix(conv, conv_col, conv_row, matrix_size); |
| 64 | |
| 65 | if(_is_separable) |
| 66 | { |
| 67 | std::pair<DataType, DataType> type_pair = data_type_for_convolution(conv_col, conv_row, matrix_size); |
| 68 | _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, type_pair.first)); |
| 69 | |
Georgios Pinitas | 8a94e7c | 2017-09-15 19:06:47 +0100 | [diff] [blame] | 70 | // Manage intermediate buffers |
| 71 | _memory_group.manage(&_tmp); |
| 72 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 73 | if(scale == 0) |
| 74 | { |
| 75 | scale = calculate_matrix_scale(conv, matrix_size); |
| 76 | } |
| 77 | |
| 78 | _kernel_hor.configure(input, &_tmp, conv_row, border_mode == BorderMode::UNDEFINED); |
| 79 | _kernel_vert.configure(&_tmp, output, conv_col, scale, border_mode == BorderMode::UNDEFINED, type_pair.second); |
| 80 | _border_handler.configure(input, _kernel_hor.border_size(), border_mode, PixelValue(constant_border_value)); |
| 81 | |
| 82 | // Allocate intermediate buffer |
| 83 | _tmp.allocator()->allocate(); |
| 84 | } |
| 85 | else |
| 86 | { |
| 87 | _kernel.configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED); |
| 88 | _border_handler.configure(input, _kernel.border_size(), border_mode, PixelValue(constant_border_value)); |
| 89 | } |
| 90 | } |
| 91 | |
| 92 | template <unsigned int matrix_size> |
| 93 | void CLConvolutionSquare<matrix_size>::run() |
| 94 | { |
| 95 | CLScheduler::get().enqueue(_border_handler); |
| 96 | |
| 97 | if(_is_separable) |
| 98 | { |
Georgios Pinitas | 8a94e7c | 2017-09-15 19:06:47 +0100 | [diff] [blame] | 99 | _memory_group.acquire(); |
| 100 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 101 | CLScheduler::get().enqueue(_kernel_hor, false); |
| 102 | CLScheduler::get().enqueue(_kernel_vert); |
Georgios Pinitas | 8a94e7c | 2017-09-15 19:06:47 +0100 | [diff] [blame] | 103 | |
| 104 | _memory_group.release(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 105 | } |
| 106 | else |
| 107 | { |
| 108 | CLScheduler::get().enqueue(_kernel); |
| 109 | } |
| 110 | } |
| 111 | |
| 112 | template class arm_compute::CLConvolutionSquare<5>; |
| 113 | template class arm_compute::CLConvolutionSquare<7>; |
| 114 | template class arm_compute::CLConvolutionSquare<9>; |
| 115 | |
| 116 | void CLConvolutionRectangle::configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t rows, uint32_t cols, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) |
| 117 | { |
Moritz Pflanzer | d0ae8b8 | 2017-06-29 14:51:57 +0100 | [diff] [blame] | 118 | auto k = arm_compute::support::cpp14::make_unique<CLConvolutionRectangleKernel>(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 119 | k->configure(input, output, conv, rows, cols, scale, border_mode == BorderMode::UNDEFINED); |
| 120 | _kernel = std::move(k); |
| 121 | _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); |
| 122 | } |