Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2017-2020 Arm Limited. |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +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/core/GLES_COMPUTE/kernels/GCPoolingLayerKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/AccessWindowStatic.h" |
| 27 | #include "arm_compute/core/GLES_COMPUTE/GCHelpers.h" |
| 28 | #include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h" |
| 29 | #include "arm_compute/core/GLES_COMPUTE/IGCTensor.h" |
| 30 | #include "arm_compute/core/GLES_COMPUTE/OpenGLES.h" |
| 31 | #include "arm_compute/core/Helpers.h" |
| 32 | #include "arm_compute/core/TensorInfo.h" |
| 33 | #include "arm_compute/core/Utils.h" |
| 34 | #include "arm_compute/core/Validate.h" |
| 35 | #include "arm_compute/core/Window.h" |
Matthew Bentham | 758b5ba | 2020-03-05 23:37:48 +0000 | [diff] [blame] | 36 | #include "support/StringSupport.h" |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 37 | |
| 38 | #include <set> |
| 39 | #include <string> |
| 40 | #include <tuple> |
| 41 | |
| 42 | using namespace arm_compute; |
| 43 | |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 44 | namespace |
| 45 | { |
| 46 | // Internal window config info |
| 47 | using GCPoolingConfig = std::pair<unsigned int, BorderSize>; //num_elems_processed_per_iteration, border_size |
| 48 | |
| 49 | void auto_init(const ITensorInfo *input, ITensorInfo *output, unsigned int pooled_w, unsigned int pooled_h) |
| 50 | { |
| 51 | TensorShape output_shape{ input->tensor_shape() }; |
| 52 | output_shape.set(0, pooled_w); |
| 53 | output_shape.set(1, pooled_h); |
| 54 | |
| 55 | auto_init_if_empty(*output, input->clone()->set_tensor_shape(output_shape)); |
| 56 | } |
| 57 | |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 58 | Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info, const ITensorInfo *indices) |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 59 | { |
| 60 | ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 61 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(indices, "Indices not supported in GLES backend"); |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 62 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 63 | ARM_COMPUTE_RETURN_ERROR_ON_MSG((is_data_type_quantized_asymmetric(input->data_type()) && pool_info.pool_type == PoolingType::L2), |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 64 | "Unsupported combination of parameters!"); |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 65 | ARM_COMPUTE_RETURN_ERROR_ON(!pool_info.pad_stride_info.padding_is_symmetric()); |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 66 | |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 67 | const bool is_global_pooling = pool_info.is_global_pooling; |
| 68 | const unsigned int pool_size = is_global_pooling ? input->tensor_shape().x() : pool_info.pool_size.width; |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 69 | |
| 70 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_global_pooling && (input->tensor_shape().x() != input->tensor_shape().y()), |
| 71 | "Global pooling is supported only with rectangular inputs!"); |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 72 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(!is_global_pooling && ((pool_info.pad_stride_info.pad().first >= pool_size) || (pool_info.pad_stride_info.pad().second >= pool_size)), |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 73 | "Invalid pool size and pool pad combination!"); |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 74 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(pool_info.pool_size.width != pool_info.pool_size.height, "Invalid Pool size, width not equal to height!"); |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 75 | |
| 76 | // Checks performed when output is configured |
| 77 | if(output->total_size() != 0) |
| 78 | { |
| 79 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 80 | |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 81 | unsigned int pooled_w = 0; |
| 82 | unsigned int pooled_h = 0; |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 83 | std::tie(pooled_w, pooled_h) = scaled_dimensions(input->dimension(0), |
| 84 | input->dimension(1), |
| 85 | pool_size, |
| 86 | pool_size, |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 87 | pool_info.pad_stride_info); |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 88 | ARM_COMPUTE_RETURN_ERROR_ON_MSG((output->dimension(0) != pooled_w) || (output->dimension(1) != pooled_h), |
| 89 | "Invalid output pooling dimensions!"); |
| 90 | } |
| 91 | |
| 92 | return Status{}; |
| 93 | } |
| 94 | |
| 95 | std::tuple<Status, Window, GCPoolingConfig> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const PoolingLayerInfo &pool_info) |
| 96 | { |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 97 | int pool_pad_x = 0; |
| 98 | int pool_pad_y = 0; |
| 99 | int pool_stride_x = 0; |
| 100 | int pool_stride_y = 0; |
| 101 | unsigned int pooled_w = 0; |
| 102 | unsigned int pooled_h = 0; |
| 103 | int pool_size = pool_info.pool_size.width; |
| 104 | const PadStrideInfo pad_stride_info = pool_info.pad_stride_info; |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 105 | std::tie(pool_pad_x, pool_pad_y) = pad_stride_info.pad(); |
| 106 | std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); |
| 107 | |
| 108 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| 109 | |
| 110 | // Update pool size in case of global pooling |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 111 | pool_size = pool_info.is_global_pooling ? input->dimension(0) : pool_size; |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 112 | |
| 113 | // Check output dimensions |
| 114 | std::tie(pooled_w, pooled_h) = scaled_dimensions(input->dimension(0), |
| 115 | input->dimension(1), |
| 116 | pool_size, |
| 117 | pool_size, |
| 118 | pad_stride_info); |
| 119 | |
| 120 | auto_init(input, output, pooled_w, pooled_h); |
| 121 | |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 122 | BorderSize border_size = BorderSize(pool_pad_y, pool_pad_x); |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 123 | |
| 124 | const int input_width = input->dimension(0); |
| 125 | const int input_height = input->dimension(1); |
| 126 | |
| 127 | unsigned int num_elems_processed_per_iteration = 1; |
| 128 | |
| 129 | // Create kernel |
| 130 | if(pool_size == 3) |
| 131 | { |
| 132 | // Check if we have pool3x3 with stride_x less equal than 3. In these cases, run an optimized OpenGLES kernel where |
| 133 | // each thread computes 4 output elements |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 134 | const bool is_pool3x3_stride_le3 = (pool_size == 3) && (pool_stride_x <= 3); |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 135 | |
| 136 | int num_elems_read_per_iteration = pool_size; |
| 137 | |
| 138 | if(input->data_type() == DataType::F32) |
| 139 | { |
| 140 | if(is_pool3x3_stride_le3) |
| 141 | { |
| 142 | // Change the number of elements processed and number of elements read per iteration for pooling 3x3 with stride less equal than 3 |
| 143 | num_elems_processed_per_iteration = 4; |
| 144 | num_elems_read_per_iteration = pool_size * (pool_stride_x + 1); |
| 145 | } |
| 146 | } |
| 147 | else |
| 148 | { |
| 149 | if(is_pool3x3_stride_le3) |
| 150 | { |
| 151 | num_elems_processed_per_iteration = 4; |
| 152 | } |
| 153 | else |
| 154 | { |
| 155 | num_elems_processed_per_iteration = 2; |
| 156 | } |
| 157 | } |
| 158 | |
| 159 | const int upper_bound_w = ((pooled_w - 1) * pool_stride_x - pool_pad_x + num_elems_read_per_iteration) - input_width; |
| 160 | const int upper_bound_h = ((pooled_h - 1) * pool_stride_y - pool_pad_y + pool_size) - input_height; |
| 161 | |
| 162 | border_size.right = std::max(upper_bound_w, pool_pad_x); |
| 163 | border_size.bottom = std::max(upper_bound_h, pool_pad_y); |
| 164 | } |
| 165 | else // Run general case |
| 166 | { |
| 167 | if(input->data_type() == DataType::F32) |
| 168 | { |
| 169 | num_elems_processed_per_iteration = 1; |
| 170 | } |
| 171 | else |
| 172 | { |
| 173 | num_elems_processed_per_iteration = 2; |
| 174 | } |
| 175 | |
| 176 | const int upper_bound_w = ((pooled_w - 1) * pool_stride_x - pool_pad_x + pool_size) - input_width; |
| 177 | const int upper_bound_h = ((pooled_h - 1) * pool_stride_y - pool_pad_y + pool_size) - input_height; |
| 178 | |
| 179 | border_size.right = std::max(upper_bound_w, pool_pad_x); |
| 180 | border_size.bottom = std::max(upper_bound_h, pool_pad_y); |
| 181 | } |
| 182 | // Configure kernel window |
| 183 | Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); |
| 184 | |
| 185 | if(input->data_type() == DataType::F32) |
| 186 | { |
| 187 | AccessWindowStatic input_access(input, -pool_pad_x, -pool_pad_y, input_width + border_size.right, input_height + border_size.bottom); |
| 188 | AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); |
| 189 | bool window_changed = update_window_and_padding(win, input_access, output_access); |
| 190 | output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape())); |
| 191 | Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| 192 | return std::make_tuple(err, win, GCPoolingConfig(num_elems_processed_per_iteration, border_size)); |
| 193 | } |
| 194 | else |
| 195 | { |
| 196 | // Calculate output right and bottom border |
| 197 | const int output_width = output->dimension(0); |
| 198 | const int output_height = output->dimension(1); |
| 199 | const int output_padding_right = ceil_to_multiple(output_width, num_elems_processed_per_iteration) - output_width; |
| 200 | const int output_padding_bottom = ceil_to_multiple(output_height, 1) - output_height; |
Frank Lei | 4406fd6 | 2018-02-01 14:47:14 +0800 | [diff] [blame] | 201 | |
| 202 | const int input_total_width = std::max(int(input->padding().left), int(pool_pad_x)) + input_width + std::max(int(input->padding().right), int(pool_pad_x)); |
| 203 | const int input_padding_right = ceil_to_multiple(input_total_width, num_elems_processed_per_iteration) - input_width - pool_pad_x; |
| 204 | const int input_total_height = std::max(int(input->padding().top), int(pool_pad_y)) + input_height + std::max(int(input->padding().bottom), int(pool_pad_y)); |
| 205 | const int input_padding_bottom = input_total_height - input_height - pool_pad_y; |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 206 | |
| 207 | // Configure kernel window |
Frank Lei | 4406fd6 | 2018-02-01 14:47:14 +0800 | [diff] [blame] | 208 | AccessWindowStatic input_access(input, -pool_pad_x, -pool_pad_y, input_width + input_padding_right, input_height + input_padding_bottom); |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 209 | AccessWindowStatic output_access(output, 0, 0, output_width + output_padding_right, output_height + output_padding_bottom); |
| 210 | bool window_changed = update_window_and_padding(win, input_access, output_access); |
| 211 | output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape())); |
| 212 | Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| 213 | return std::make_tuple(err, win, GCPoolingConfig(num_elems_processed_per_iteration, border_size)); |
| 214 | } |
| 215 | } |
| 216 | } // namespace |
| 217 | |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 218 | GCPoolingLayerKernel::GCPoolingLayerKernel() |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 219 | : _input(nullptr), _output(nullptr), _indices(nullptr), _pool_info(), _border_size(0), _num_elems_processed_per_iteration(1) |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 220 | { |
| 221 | } |
| 222 | |
| 223 | BorderSize GCPoolingLayerKernel::border_size() const |
| 224 | { |
| 225 | return _border_size; |
| 226 | } |
| 227 | |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 228 | void GCPoolingLayerKernel::configure(const IGCTensor *input, IGCTensor *output, const PoolingLayerInfo &pool_info, IGCTensor *indices) |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 229 | { |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 230 | int pool_pad_x = 0; |
| 231 | int pool_pad_y = 0; |
| 232 | int pool_stride_x = 0; |
| 233 | int pool_stride_y = 0; |
| 234 | unsigned int pooled_w = 0; |
| 235 | unsigned int pooled_h = 0; |
| 236 | const PoolingType pool_type = pool_info.pool_type; |
| 237 | int pool_size = pool_info.pool_size.width; |
| 238 | const PadStrideInfo pad_stride_info = pool_info.pad_stride_info; |
| 239 | const bool exclude_padding = pool_info.exclude_padding; |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 240 | std::tie(pool_pad_x, pool_pad_y) = pad_stride_info.pad(); |
| 241 | std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); |
| 242 | |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 243 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
Georgios Pinitas | 4c2dd54 | 2017-11-13 12:58:41 +0000 | [diff] [blame] | 244 | |
| 245 | // Update pool size in case of global pooling |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 246 | pool_size = pool_info.is_global_pooling ? input->info()->dimension(0) : pool_size; |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 247 | |
| 248 | // Check output dimensions |
| 249 | std::tie(pooled_w, pooled_h) = scaled_dimensions(input->info()->dimension(0), |
| 250 | input->info()->dimension(1), |
| 251 | pool_size, |
| 252 | pool_size, |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 253 | pad_stride_info); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 254 | |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 255 | auto_init(input->info(), output->info(), pooled_w, pooled_h); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 256 | |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 257 | ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), pool_info, (indices) ? indices->info() : nullptr)); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 258 | |
| 259 | // Set instance variables |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 260 | _input = input; |
| 261 | _output = output; |
| 262 | _pool_info = pool_info; |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 263 | _indices = indices; |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 264 | // Set build options |
| 265 | std::set<std::string> build_opts; |
| 266 | build_opts.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(1)); |
| 267 | build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(1)); |
| 268 | build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(1)); |
| 269 | if(input->info()->data_type() == DataType::F32) |
| 270 | { |
| 271 | build_opts.insert("#define DATA_TYPE_FP32"); |
| 272 | } |
| 273 | else |
| 274 | { |
| 275 | build_opts.insert("#define DATA_TYPE_FP16"); |
| 276 | } |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 277 | if(exclude_padding) |
| 278 | { |
| 279 | build_opts.emplace("#define EXCLUDE_PADDING"); |
| 280 | } |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 281 | build_opts.emplace(("#define POOL_" + string_from_pooling_type(pool_type))); |
| 282 | build_opts.emplace(("#define STRIDE_X " + support::cpp11::to_string(pool_stride_x))); |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 283 | build_opts.emplace(("#define MAX_WIDTH " + support::cpp11::to_string(input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_x)))); |
| 284 | build_opts.emplace(("#define MAX_HEIGHT " + support::cpp11::to_string(input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_y)))); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 285 | build_opts.emplace(("#define STRIDE_Y " + support::cpp11::to_string(pool_stride_y))); |
| 286 | build_opts.emplace(("#define PAD_X " + support::cpp11::to_string(pool_pad_x))); |
| 287 | build_opts.emplace(("#define PAD_Y " + support::cpp11::to_string(pool_pad_y))); |
| 288 | |
| 289 | // Create kernel |
| 290 | if((pool_size == 2) || (pool_size == 3) || (pool_size == 7)) |
| 291 | { |
| 292 | // Check if we have pool3x3 with stride_x less equal than 3. In these cases, run an optimized OpenGLES kernel where |
| 293 | // each thread computes 4 output elements |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 294 | const bool is_pool3x3_stride_le3 = (pool_size == 3) && (pool_stride_x <= 3); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 295 | |
| 296 | std::string kernel_name = "pooling_layer_" + support::cpp11::to_string(pool_size); |
| 297 | if(is_pool3x3_stride_le3) |
| 298 | { |
| 299 | build_opts.insert("#define POOLING_LAYER_3_OPTIMIZED"); |
| 300 | _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel(kernel_name + "_optimized", build_opts)); |
| 301 | } |
| 302 | else |
| 303 | { |
| 304 | build_opts.insert("#define POOLING_LAYER_" + support::cpp11::to_string(pool_size)); |
| 305 | _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel(kernel_name, build_opts)); |
| 306 | } |
| 307 | } |
| 308 | else // Run general case |
| 309 | { |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 310 | build_opts.emplace(("#define POOL_SIZE " + support::cpp11::to_string(pool_size))); |
| 311 | |
| 312 | build_opts.insert("#define POOLING_LAYER_N"); |
| 313 | _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("pooling_layer_n", build_opts)); |
| 314 | } |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 315 | // Configure kernel window |
| 316 | auto win_config = validate_and_configure_window(input->info(), output->info(), pool_info); |
| 317 | ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config)); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 318 | |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 319 | IGCKernel::configure(std::get<1>(win_config)); |
| 320 | GCPoolingConfig pooling_config = std::get<2>(win_config); |
| 321 | _num_elems_processed_per_iteration = pooling_config.first; |
| 322 | _border_size = pooling_config.second; |
| 323 | } |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 324 | |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 325 | Status GCPoolingLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info, const ITensorInfo *indices) |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 326 | { |
morgolock | cc1f6c9 | 2020-03-24 09:26:48 +0000 | [diff] [blame] | 327 | ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, pool_info, indices)); |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 328 | ARM_COMPUTE_RETURN_ON_ERROR(std::get<0>(validate_and_configure_window(input->clone().get(), output->clone().get(), pool_info))); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 329 | |
Xinghang Zhou | 53a6ec5 | 2017-11-14 15:14:25 +0800 | [diff] [blame] | 330 | return Status{}; |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 331 | } |
| 332 | |
| 333 | void GCPoolingLayerKernel::run(const Window &window) |
| 334 | { |
| 335 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 336 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| 337 | |
Michalis Spyrou | bcfd09a | 2019-05-01 13:03:59 +0100 | [diff] [blame] | 338 | unsigned int pool_pad_x; |
| 339 | unsigned int pool_pad_y; |
| 340 | unsigned int pool_stride_x; |
| 341 | unsigned int pool_stride_y; |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 342 | std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info.pad(); |
| 343 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info.stride(); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 344 | |
| 345 | _kernel.use(); |
| 346 | |
Frank Lei | 4406fd6 | 2018-02-01 14:47:14 +0800 | [diff] [blame] | 347 | _output->set_needs_shifting(true); |
| 348 | |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 349 | Window window_collapsed = window.collapse_if_possible(IGCKernel::window(), Window::DimZ); |
Frank Lei | 4406fd6 | 2018-02-01 14:47:14 +0800 | [diff] [blame] | 350 | |
| 351 | Window slice = window_collapsed.first_slice_window_3D(); |
| 352 | Window slice_in_orig = window_collapsed.first_slice_window_3D(); |
| 353 | |
| 354 | slice.shift(Window::DimX, -(_output->info()->padding()).left); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 355 | |
| 356 | do |
| 357 | { |
| 358 | // Upsample input by pool size |
Frank Lei | 4406fd6 | 2018-02-01 14:47:14 +0800 | [diff] [blame] | 359 | Window in_slice(slice_in_orig); // NOLINT |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 360 | in_slice.set(Window::DimX, Window::Dimension(in_slice.x().start() - pool_pad_x, in_slice.x().end() * pool_stride_x, pool_stride_x * _num_elems_processed_per_iteration)); |
| 361 | in_slice.set(Window::DimY, Window::Dimension(in_slice.y().start() - pool_pad_y, in_slice.y().end() * pool_stride_y, pool_stride_y)); |
| 362 | |
| 363 | // Set inputs |
| 364 | unsigned int idx = 0; |
| 365 | add_3D_tensor_argument(idx, _input, 1, in_slice); |
| 366 | add_3D_tensor_argument(idx, _output, 2, slice); |
| 367 | |
| 368 | _kernel.update_shader_params(); |
| 369 | enqueue(*this, slice); |
| 370 | } |
Frank Lei | 4406fd6 | 2018-02-01 14:47:14 +0800 | [diff] [blame] | 371 | while(window_collapsed.slide_window_slice_3D(slice) && window_collapsed.slide_window_slice_3D(slice_in_orig)); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 372 | } |