Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Georgios Pinitas | da953f2 | 2019-04-02 17:27:03 +0100 | [diff] [blame] | 2 | * Copyright (c) 2017-2019 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/CLLocallyConnectedLayer.h" |
| 25 | |
| 26 | #include "arm_compute/core/PixelValue.h" |
| 27 | #include "arm_compute/core/Utils.h" |
| 28 | #include "arm_compute/core/Validate.h" |
| 29 | #include "arm_compute/runtime/CL/CLScheduler.h" |
| 30 | |
| 31 | #include <cmath> |
| 32 | #include <tuple> |
| 33 | |
| 34 | using namespace arm_compute; |
| 35 | |
Alex Gilday | 27c08ab | 2018-02-22 11:36:16 +0000 | [diff] [blame] | 36 | namespace |
| 37 | { |
| 38 | void calculate_shapes(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| 39 | TensorShape &shape_wr, TensorShape &shape_im2col, TensorShape &shape_gemm) |
| 40 | { |
| 41 | ARM_COMPUTE_UNUSED(output); |
| 42 | |
| 43 | const unsigned int kernel_width = weights->dimension(0); |
| 44 | const unsigned int kernel_height = weights->dimension(1); |
| 45 | |
| 46 | bool has_bias = (biases != nullptr); |
| 47 | |
| 48 | // Get convolved dimensions |
| 49 | unsigned int conv_w = 0; |
| 50 | unsigned int conv_h = 0; |
Georgios Pinitas | 19ea419 | 2018-06-19 13:09:53 +0100 | [diff] [blame] | 51 | std::tie(conv_w, conv_h) = scaled_dimensions(input->dimension(0), |
| 52 | input->dimension(1), |
| 53 | kernel_width, |
| 54 | kernel_height, |
Alex Gilday | 27c08ab | 2018-02-22 11:36:16 +0000 | [diff] [blame] | 55 | conv_info); |
| 56 | |
| 57 | const size_t mat_weights_cols = weights->dimension(3); |
| 58 | const size_t mat_weights_rows = weights->dimension(0) * weights->dimension(1) * weights->dimension(2) + ((has_bias) ? 1 : 0); |
| 59 | const size_t mat_weights_num = weights->dimension(4); |
| 60 | |
| 61 | shape_wr = TensorShape(mat_weights_cols, mat_weights_rows, mat_weights_num); |
| 62 | |
| 63 | const size_t mat_input_cols = mat_weights_rows; |
| 64 | const size_t mat_input_rows = conv_w * conv_h; |
| 65 | |
| 66 | shape_im2col = input->tensor_shape(); |
Georgios Pinitas | 19ea419 | 2018-06-19 13:09:53 +0100 | [diff] [blame] | 67 | if(shape_im2col.num_dimensions() >= 3) |
| 68 | { |
| 69 | shape_im2col.remove_dimension(2); |
| 70 | } |
Alex Gilday | 27c08ab | 2018-02-22 11:36:16 +0000 | [diff] [blame] | 71 | shape_im2col.set(0, mat_input_cols); |
| 72 | shape_im2col.set(1, mat_input_rows); |
Alex Gilday | 27c08ab | 2018-02-22 11:36:16 +0000 | [diff] [blame] | 73 | |
| 74 | shape_gemm = shape_im2col; |
| 75 | shape_gemm.set(0, mat_weights_cols); |
| 76 | shape_gemm.set(1, mat_input_rows); |
| 77 | } |
| 78 | } // namespace |
| 79 | |
Georgios Pinitas | 8a94e7c | 2017-09-15 19:06:47 +0100 | [diff] [blame] | 80 | CLLocallyConnectedLayer::CLLocallyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager) |
| 81 | : _memory_group(std::move(memory_manager)), _input_im2col_kernel(), _weights_reshape_kernel(), _mm_kernel(), _output_col2im_kernel(), _input_im2col_reshaped(), _weights_reshaped(), _gemm_output(), |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 82 | _is_prepared(false), _original_weights(nullptr) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 83 | { |
| 84 | } |
| 85 | |
Alex Gilday | 27c08ab | 2018-02-22 11:36:16 +0000 | [diff] [blame] | 86 | Status CLLocallyConnectedLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info) |
| 87 | { |
| 88 | ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output); |
| 89 | ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(2) != input->dimension(2)); |
| 90 | ARM_COMPUTE_RETURN_ERROR_ON(!conv_info.padding_is_symmetric()); |
| 91 | |
| 92 | bool has_bias = (biases != nullptr); |
| 93 | |
| 94 | if(has_bias) |
| 95 | { |
| 96 | ARM_COMPUTE_RETURN_ERROR_ON(biases->dimension(0) != weights->dimension(3)); |
| 97 | ARM_COMPUTE_RETURN_ERROR_ON(biases->num_dimensions() > 2); |
| 98 | } |
| 99 | |
| 100 | const unsigned int kernel_width = weights->dimension(0); |
| 101 | const unsigned int kernel_height = weights->dimension(1); |
| 102 | |
| 103 | // Get convolved dimensions |
| 104 | unsigned int conv_w = 0; |
| 105 | unsigned int conv_h = 0; |
| 106 | std::tie(conv_w, conv_h) = scaled_dimensions(input->dimension(0), input->dimension(1), kernel_width, kernel_height, |
| 107 | conv_info); |
| 108 | |
| 109 | ARM_COMPUTE_RETURN_ERROR_ON_MSG((output->dimension(0) != conv_w) || (output->dimension(1) != conv_h), "Output shape does not match the expected one"); |
| 110 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(weights->dimension(4) != (conv_w * conv_h), "Weights shape does not match the expected one"); |
| 111 | |
| 112 | // Calculate intermediate buffer shapes |
| 113 | TensorShape shape_wr; |
| 114 | TensorShape shape_im2col; |
| 115 | TensorShape shape_gemm; |
| 116 | calculate_shapes(input, weights, biases, output, conv_info, shape_wr, shape_im2col, shape_gemm); |
| 117 | |
| 118 | TensorInfo weights_reshaped_info(shape_wr, 1, weights->data_type()); |
| 119 | TensorInfo input_im2col_reshaped_info(shape_im2col, 1, input->data_type()); |
| 120 | TensorInfo gemm_output_info(shape_gemm, 1, input->data_type()); |
| 121 | |
| 122 | ARM_COMPUTE_RETURN_ON_ERROR(CLIm2ColKernel::validate(input, &input_im2col_reshaped_info, Size2D(kernel_width, kernel_height), conv_info, has_bias)); |
| 123 | ARM_COMPUTE_RETURN_ON_ERROR(CLWeightsReshapeKernel::validate(weights, biases, &weights_reshaped_info)); |
| 124 | ARM_COMPUTE_RETURN_ON_ERROR(CLLocallyConnectedMatrixMultiplyKernel::validate(&input_im2col_reshaped_info, &weights_reshaped_info, &gemm_output_info)); |
Giorgio Arena | 226e4b9 | 2018-08-23 12:00:02 +0100 | [diff] [blame] | 125 | ARM_COMPUTE_RETURN_ON_ERROR(CLCol2ImKernel::validate(&gemm_output_info, output, Size2D(conv_w, conv_h))); |
Alex Gilday | 27c08ab | 2018-02-22 11:36:16 +0000 | [diff] [blame] | 126 | |
| 127 | return Status{}; |
| 128 | } |
| 129 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 130 | void CLLocallyConnectedLayer::configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info) |
| 131 | { |
Alex Gilday | 27c08ab | 2018-02-22 11:36:16 +0000 | [diff] [blame] | 132 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); |
| 133 | ARM_COMPUTE_ERROR_THROW_ON(CLLocallyConnectedLayer::validate(input->info(), weights->info(), biases == nullptr ? nullptr : biases->info(), output->info(), conv_info)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 134 | |
Georgios Pinitas | 1562be3 | 2018-03-08 19:09:19 +0000 | [diff] [blame] | 135 | bool _has_bias = (biases != nullptr); |
| 136 | _original_weights = weights; |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 137 | _is_prepared = false; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 138 | |
Sanghoon Lee | f47bfb9 | 2018-01-23 15:16:47 +0000 | [diff] [blame] | 139 | const unsigned int kernel_width = weights->info()->dimension(0); |
| 140 | const unsigned int kernel_height = weights->info()->dimension(1); |
| 141 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 142 | // Get convolved dimensions |
| 143 | unsigned int conv_w = 0; |
| 144 | unsigned int conv_h = 0; |
Sanghoon Lee | f47bfb9 | 2018-01-23 15:16:47 +0000 | [diff] [blame] | 145 | std::tie(conv_w, conv_h) = scaled_dimensions(input->info()->dimension(0), input->info()->dimension(1), kernel_width, kernel_height, |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 146 | conv_info); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 147 | |
Alex Gilday | 27c08ab | 2018-02-22 11:36:16 +0000 | [diff] [blame] | 148 | // Calculate intermediate buffer shapes |
| 149 | TensorShape shape_wr; |
| 150 | TensorShape shape_im2col; |
| 151 | TensorShape shape_gemm; |
| 152 | calculate_shapes(input->info(), weights->info(), biases == nullptr ? nullptr : biases->info(), output->info(), conv_info, shape_wr, shape_im2col, shape_gemm); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 153 | |
| 154 | _weights_reshaped.allocator()->init(TensorInfo(shape_wr, 1, weights->info()->data_type())); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 155 | _input_im2col_reshaped.allocator()->init(TensorInfo(shape_im2col, 1, input->info()->data_type())); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 156 | _gemm_output.allocator()->init(TensorInfo(shape_gemm, 1, input->info()->data_type())); |
| 157 | |
Georgios Pinitas | 8a94e7c | 2017-09-15 19:06:47 +0100 | [diff] [blame] | 158 | // Manage intermediate buffers |
| 159 | _memory_group.manage(&_input_im2col_reshaped); |
| 160 | _memory_group.manage(&_gemm_output); |
| 161 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 162 | // Configure kernels |
Sanghoon Lee | f47bfb9 | 2018-01-23 15:16:47 +0000 | [diff] [blame] | 163 | _input_im2col_kernel.configure(input, &_input_im2col_reshaped, Size2D(kernel_width, kernel_height), conv_info, _has_bias); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 164 | _weights_reshape_kernel.configure(weights, biases, &_weights_reshaped); |
| 165 | _mm_kernel.configure(&_input_im2col_reshaped, &_weights_reshaped, &_gemm_output); |
Giorgio Arena | 226e4b9 | 2018-08-23 12:00:02 +0100 | [diff] [blame] | 166 | _output_col2im_kernel.configure(&_gemm_output, output, Size2D(conv_w, conv_h)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 167 | |
| 168 | // Allocate intermediate tensors |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 169 | _input_im2col_reshaped.allocator()->allocate(); |
| 170 | _gemm_output.allocator()->allocate(); |
Georgios Pinitas | 17812ba | 2018-06-04 19:27:13 +0100 | [diff] [blame] | 171 | |
| 172 | CLScheduler::get().tune_kernel_static(_input_im2col_kernel); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 173 | } |
| 174 | |
| 175 | void CLLocallyConnectedLayer::run() |
| 176 | { |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 177 | prepare(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 178 | |
Georgios Pinitas | da953f2 | 2019-04-02 17:27:03 +0100 | [diff] [blame] | 179 | MemoryGroupResourceScope scope_mg(_memory_group); |
Georgios Pinitas | 8a94e7c | 2017-09-15 19:06:47 +0100 | [diff] [blame] | 180 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 181 | // Run input reshaping |
| 182 | CLScheduler::get().enqueue(_input_im2col_kernel); |
| 183 | |
| 184 | // Runs vector matrix multiply on reshaped matrices |
| 185 | CLScheduler::get().enqueue(_mm_kernel); |
| 186 | |
| 187 | // Reshape output matrix |
| 188 | CLScheduler::get().enqueue(_output_col2im_kernel, false); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 189 | } |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 190 | |
| 191 | void CLLocallyConnectedLayer::prepare() |
| 192 | { |
| 193 | if(!_is_prepared) |
| 194 | { |
| 195 | ARM_COMPUTE_ERROR_ON(!_original_weights->is_used()); |
| 196 | |
| 197 | // Run weights reshaping and mark original weights tensor as unused |
| 198 | _weights_reshaped.allocator()->allocate(); |
| 199 | CLScheduler::get().enqueue(_weights_reshape_kernel); |
| 200 | _original_weights->mark_as_unused(); |
| 201 | |
| 202 | CLScheduler::get().queue().finish(); |
| 203 | _is_prepared = true; |
| 204 | } |
| 205 | } |