Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Gian Marco | 7b4d547 | 2018-01-10 15:56:30 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 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/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/AccessWindowStatic.h" |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 27 | #include "arm_compute/core/AccessWindowTranspose.h" |
Gian Marco | 7b4d547 | 2018-01-10 15:56:30 +0000 | [diff] [blame] | 28 | #include "arm_compute/core/CL/CLHelpers.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 29 | #include "arm_compute/core/CL/CLKernelLibrary.h" |
| 30 | #include "arm_compute/core/CL/ICLTensor.h" |
| 31 | #include "arm_compute/core/CL/OpenCL.h" |
| 32 | #include "arm_compute/core/Error.h" |
| 33 | #include "arm_compute/core/Helpers.h" |
Isabella Gottardi | d56e770 | 2018-02-28 14:29:36 +0000 | [diff] [blame] | 34 | #include "arm_compute/core/TensorInfo.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 35 | #include "arm_compute/core/Types.h" |
| 36 | #include "arm_compute/core/Utils.h" |
| 37 | #include "arm_compute/core/Validate.h" |
| 38 | #include "arm_compute/core/Window.h" |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 39 | #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
Moritz Pflanzer | 05da6dd | 2017-07-04 12:08:41 +0100 | [diff] [blame] | 40 | #include "support/ToolchainSupport.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 41 | |
| 42 | #include <cstddef> |
| 43 | #include <cstdint> |
| 44 | #include <tuple> |
| 45 | |
| 46 | using namespace arm_compute; |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 47 | using namespace arm_compute::misc::shape_calculator; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 48 | |
| 49 | namespace arm_compute |
| 50 | { |
| 51 | class Coordinates; |
| 52 | } // namespace arm_compute |
| 53 | |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 54 | namespace |
| 55 | { |
| 56 | using ElementsProcessed = Steps; |
| 57 | |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 58 | Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info) |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 59 | { |
| 60 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::QASYMM8); |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 61 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1); |
| 62 | |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 63 | if(!is_interleaved_transposed) |
| 64 | { |
| 65 | ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(0) != input1->dimension(1)); |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 66 | |
| 67 | if(output->total_size() != 0) |
| 68 | { |
| 69 | ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(0) != output->dimension(0)); |
| 70 | ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(1) != output->dimension(1)); |
| 71 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32); |
| 72 | } |
| 73 | } |
| 74 | else |
| 75 | { |
| 76 | const int m = reshape_info.m(); |
| 77 | const int n = reshape_info.n(); |
| 78 | const int k = reshape_info.k(); |
| 79 | const int mult_transpose1xW_width = reshape_info.mult_transpose1xW_width(); |
| 80 | const int mult_interleave4x4_height = reshape_info.mult_interleave4x4_height(); |
| 81 | |
| 82 | TensorShape tensor_shape0{ input0->tensor_shape() }; |
| 83 | tensor_shape0.set(0, k); |
| 84 | tensor_shape0.set(1, m); |
| 85 | |
| 86 | TensorShape tensor_shape1{ input1->tensor_shape() }; |
| 87 | tensor_shape1.set(0, n); |
| 88 | tensor_shape1.set(1, k); |
| 89 | |
| 90 | const TensorInfo tensor_info0 = input0->clone()->set_tensor_shape(tensor_shape0); |
| 91 | const TensorInfo tensor_info1 = input1->clone()->set_tensor_shape(tensor_shape1); |
| 92 | |
| 93 | const TensorInfo tensor_info_reshaped0 = input0->clone()->set_tensor_shape(compute_interleaved_shape(tensor_info0, mult_interleave4x4_height)); |
| 94 | const TensorInfo tensor_info_reshaped1 = input1->clone()->set_tensor_shape(compute_transpose1xW_with_element_size_shape(tensor_info1, mult_transpose1xW_width)); |
| 95 | |
| 96 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input0, &tensor_info_reshaped0); |
| 97 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, &tensor_info_reshaped1); |
| 98 | |
| 99 | if(output->total_size() != 0) |
| 100 | { |
| 101 | ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(0) != static_cast<size_t>(n)); |
| 102 | ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(1) != static_cast<size_t>(m)); |
| 103 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32); |
| 104 | } |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 105 | } |
| 106 | |
| 107 | return Status{}; |
| 108 | } |
| 109 | |
| 110 | std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output, bool is_interleaved_transposed, |
| 111 | ElementsProcessed &num_elements_processed) |
| 112 | { |
| 113 | unsigned int &num_elems_processed_per_iteration_x = num_elements_processed[0]; |
| 114 | unsigned int &num_elems_processed_per_iteration_y = num_elements_processed[1]; |
| 115 | |
| 116 | Window win{}; |
| 117 | bool window_changed = false; |
| 118 | |
| 119 | // Check if the output tensor is a vector. If so,the kernel runs the vector-matrix multiplication |
| 120 | if(is_interleaved_transposed) |
| 121 | { |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 122 | // Configure kernel window |
| 123 | num_elems_processed_per_iteration_x = 4; |
| 124 | num_elems_processed_per_iteration_y = 4; |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 125 | |
| 126 | win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); |
| 127 | |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 128 | AccessWindowRectangle input0_access(input0, 0, 0, num_elems_processed_per_iteration_y, 1, 1.f, 0.25f); |
| 129 | AccessWindowTranspose input1_access(input1, 0, 0, num_elems_processed_per_iteration_x, 1, 0.f, 0.25f); |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 130 | AccessWindowRectangle output_access(output, 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y); |
| 131 | |
| 132 | window_changed = update_window_and_padding(win, input0_access, input1_access, output_access); |
| 133 | |
| 134 | output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->tensor_shape())); |
| 135 | } |
| 136 | else |
| 137 | { |
| 138 | // Special case for 1xN, 2xN, 3xN and 4xN input0 tensor. num_elems_processed_per_iteration_x |
Gian Marco | 7b4d547 | 2018-01-10 15:56:30 +0000 | [diff] [blame] | 139 | num_elems_processed_per_iteration_x = 4; |
| 140 | num_elems_processed_per_iteration_y = std::min(static_cast<int>(output->dimension(1)), 5); |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 141 | |
| 142 | // Configure window |
| 143 | win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); |
| 144 | |
| 145 | AccessWindowStatic input0_access(input0, 0, 0, input0->dimension(0), ceil_to_multiple(input0->dimension(1), num_elems_processed_per_iteration_y)); |
| 146 | AccessWindowStatic input1_access(input1, 0, 0, ceil_to_multiple(input1->dimension(0), num_elems_processed_per_iteration_x), input1->dimension(1)); |
| 147 | AccessWindowRectangle output_access(output, 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y); |
| 148 | |
| 149 | window_changed = update_window_and_padding(win, input0_access, input1_access, output_access); |
| 150 | |
| 151 | Coordinates coord; |
| 152 | coord.set_num_dimensions(output->num_dimensions()); |
| 153 | output_access.set_valid_region(win, ValidRegion(coord, output->tensor_shape())); |
| 154 | } |
| 155 | |
| 156 | Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| 157 | return std::make_pair(err, win); |
| 158 | } |
| 159 | } // namespace |
| 160 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 161 | CLGEMMLowpMatrixMultiplyKernel::CLGEMMLowpMatrixMultiplyKernel() |
| 162 | : _input0(nullptr), _input1(nullptr), _output(nullptr) |
| 163 | { |
| 164 | } |
| 165 | |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 166 | void CLGEMMLowpMatrixMultiplyKernel::configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 167 | { |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 168 | ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output); |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 169 | |
| 170 | // Output tensor auto inizialitation if not yet initialized |
| 171 | TensorShape tensor_shape{ input0->info()->tensor_shape() }; |
| 172 | tensor_shape.set(0, is_interleaved_transposed ? reshape_info.n() : input1->info()->dimension(0)); |
| 173 | tensor_shape.set(1, is_interleaved_transposed ? reshape_info.m() : input0->info()->dimension(1)); |
| 174 | |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 175 | auto_init_if_empty(*output->info(), tensor_shape, 1, DataType::S32, QuantizationInfo()); |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 176 | |
| 177 | ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info(), is_interleaved_transposed, reshape_info)); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 178 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 179 | _input0 = input0; |
| 180 | _input1 = input1; |
| 181 | _output = output; |
| 182 | |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 183 | ElementsProcessed num_elements_processed{}; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 184 | |
Gian Marco | 7b4d547 | 2018-01-10 15:56:30 +0000 | [diff] [blame] | 185 | // Get target architecture |
| 186 | GPUTarget arch_target = get_arch_from_target(get_target()); |
| 187 | |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 188 | // Configure kernel window |
| 189 | auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info(), is_interleaved_transposed, num_elements_processed); |
| 190 | ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
Anthony Barbier | b6eb353 | 2018-08-08 13:20:04 +0100 | [diff] [blame] | 191 | ICLKernel::configure_internal(win_config.second); |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 192 | |
Giorgio Arena | 6200fa4 | 2018-07-06 17:06:36 +0100 | [diff] [blame] | 193 | const bool is_dot8_supported = dot8_supported(CLKernelLibrary::get().get_device()); |
| 194 | |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 195 | // Create build options |
| 196 | CLBuildOptions build_opts; |
| 197 | std::string kernel_name(" "); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 198 | if(is_interleaved_transposed) |
| 199 | { |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 200 | const int mult_transpose1xW_width = reshape_info.mult_transpose1xW_width(); |
| 201 | const int mult_interleave4x4_height = reshape_info.mult_interleave4x4_height(); |
| 202 | |
| 203 | // Note: The computation tile has the x dimension equal to 4 which is less than the transpose_width (16) |
| 204 | // In order to access correctly the elements from the transposed matrix B, we need to pass |
| 205 | // the correct step which is calculated as (16 * mult_transpose1xW_width) / 4) |
| 206 | |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 207 | build_opts.add_option("-DCOLS_B=" + support::cpp11::to_string(input1->info()->dimension(0))); |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 208 | build_opts.add_option("-DTRANSPOSE1XW_WIDTH_STEP=" + support::cpp11::to_string(4 * mult_transpose1xW_width)); |
| 209 | build_opts.add_option("-DMULT_INTERLEAVE4X4_HEIGHT=" + support::cpp11::to_string(mult_interleave4x4_height)); |
| 210 | |
Giorgio Arena | 6200fa4 | 2018-07-06 17:06:36 +0100 | [diff] [blame] | 211 | kernel_name = "gemmlowp_mm_interleaved_transposed_" + string_from_target(arch_target) + (is_dot8_supported ? "_dot8" : ""); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 212 | } |
| 213 | else |
| 214 | { |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 215 | build_opts.add_option("-DCOLS_A=" + support::cpp11::to_string(input0->info()->dimension(0))); |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 216 | build_opts.add_option("-DNUM_ELEMS_PROCESSED_PER_THREAD_X=" + support::cpp11::to_string(num_elements_processed.x())); |
| 217 | build_opts.add_option("-DNUM_ELEMS_PROCESSED_PER_THREAD_Y=" + support::cpp11::to_string(num_elements_processed.y())); |
Giorgio Arena | 6200fa4 | 2018-07-06 17:06:36 +0100 | [diff] [blame] | 218 | |
| 219 | kernel_name = "gemmlowp_mm_" + string_from_target(arch_target) + (is_dot8_supported ? "_dot8" : ""); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 220 | } |
Giorgio Arena | 6200fa4 | 2018-07-06 17:06:36 +0100 | [diff] [blame] | 221 | |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 222 | // Create kernel |
| 223 | _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options())); |
Gian Marco | 05288a2 | 2017-11-21 10:57:50 +0000 | [diff] [blame] | 224 | |
| 225 | // Set config_id for enabling LWS tuning |
| 226 | _config_id = "gemmlowp_"; |
| 227 | _config_id += (is_interleaved_transposed ? "reshaped_" : ""); |
| 228 | _config_id += lower_string(string_from_data_type(input0->info()->data_type())); |
| 229 | _config_id += "_"; |
| 230 | _config_id += support::cpp11::to_string(output->info()->dimension(1)); |
| 231 | _config_id += "_"; |
| 232 | _config_id += support::cpp11::to_string(output->info()->dimension(0)); |
| 233 | _config_id += "_"; |
| 234 | _config_id += (is_interleaved_transposed ? support::cpp11::to_string(input1->info()->dimension(0)) : support::cpp11::to_string(input1->info()->dimension(1))); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 235 | } |
| 236 | |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 237 | Status CLGEMMLowpMatrixMultiplyKernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info) |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 238 | { |
| 239 | ElementsProcessed num_elements_processed{}; |
Gian Marco | 19835e5 | 2018-01-30 13:35:54 +0000 | [diff] [blame] | 240 | ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output, is_interleaved_transposed, reshape_info)); |
Georgios Pinitas | 358ca20 | 2017-12-07 16:47:52 +0000 | [diff] [blame] | 241 | ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(), |
| 242 | input1->clone().get(), |
| 243 | output->clone().get(), |
| 244 | is_interleaved_transposed, |
| 245 | num_elements_processed) |
| 246 | .first); |
| 247 | |
| 248 | return Status{}; |
| 249 | } |
| 250 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 251 | void CLGEMMLowpMatrixMultiplyKernel::run(const Window &window, cl::CommandQueue &queue) |
| 252 | { |
| 253 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 254 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| 255 | |
| 256 | Window slice = window.first_slice_window_2D(); |
| 257 | Window slice_matrix_b = slice; |
| 258 | slice_matrix_b.set(Window::DimX, Window::Dimension(0, _input1->info()->dimension(0), 1)); |
| 259 | slice_matrix_b.set(Window::DimY, Window::Dimension(0, _input1->info()->dimension(1), 1)); |
| 260 | slice_matrix_b.set(Window::DimZ, Window::Dimension(0, 1, 1)); |
| 261 | |
| 262 | do |
| 263 | { |
| 264 | Window slice_b = slice; |
| 265 | // Don't slice matrix B along the z dimension if matrix B has just 2 dimensions and matrix A more than 2 |
| 266 | // This scenario can happen when the the matrix multiplication is used to perform a convolution operation |
| 267 | if(_input1->info()->num_dimensions() < 3) |
| 268 | { |
| 269 | slice_b = slice_matrix_b; |
| 270 | } |
| 271 | |
| 272 | unsigned int idx = 0; |
| 273 | add_2D_tensor_argument(idx, _input0, slice); |
| 274 | add_2D_tensor_argument(idx, _input1, slice_b); |
| 275 | add_2D_tensor_argument(idx, _output, slice); |
Anthony Barbier | b6eb353 | 2018-08-08 13:20:04 +0100 | [diff] [blame] | 276 | enqueue(queue, *this, slice, lws_hint()); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 277 | } |
| 278 | while(window.slide_window_slice_2D(slice)); |
| 279 | } |