Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2016-2020 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/Error.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 25 | |
| 26 | #include <cmath> |
| 27 | #include <numeric> |
| 28 | |
| 29 | namespace arm_compute |
| 30 | { |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 31 | template <size_t dimension> |
| 32 | struct IncrementIterators |
| 33 | { |
| 34 | template <typename T, typename... Ts> |
| 35 | static void unroll(T &&it, Ts &&... iterators) |
| 36 | { |
Diego Lopez Recas | 490b3d8 | 2017-12-19 15:42:25 +0000 | [diff] [blame] | 37 | auto increment = [](T && it) |
| 38 | { |
| 39 | it.increment(dimension); |
| 40 | }; |
| 41 | utility::for_each(increment, std::forward<T>(it), std::forward<Ts>(iterators)...); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 42 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 43 | static void unroll() |
| 44 | { |
| 45 | // End of recursion |
| 46 | } |
| 47 | }; |
| 48 | |
| 49 | template <size_t dim> |
| 50 | struct ForEachDimension |
| 51 | { |
| 52 | template <typename L, typename... Ts> |
| 53 | static void unroll(const Window &w, Coordinates &id, L &&lambda_function, Ts &&... iterators) |
| 54 | { |
| 55 | const auto &d = w[dim - 1]; |
| 56 | |
| 57 | for(auto v = d.start(); v < d.end(); v += d.step(), IncrementIterators < dim - 1 >::unroll(iterators...)) |
| 58 | { |
| 59 | id.set(dim - 1, v); |
| 60 | ForEachDimension < dim - 1 >::unroll(w, id, lambda_function, iterators...); |
| 61 | } |
| 62 | } |
| 63 | }; |
| 64 | |
| 65 | template <> |
| 66 | struct ForEachDimension<0> |
| 67 | { |
| 68 | template <typename L, typename... Ts> |
| 69 | static void unroll(const Window &w, Coordinates &id, L &&lambda_function, Ts &&... iterators) |
| 70 | { |
Michalis Spyrou | 6bff195 | 2019-10-02 17:22:11 +0100 | [diff] [blame] | 71 | ARM_COMPUTE_UNUSED(w, iterators...); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 72 | lambda_function(id); |
| 73 | } |
| 74 | }; |
| 75 | |
| 76 | template <typename L, typename... Ts> |
| 77 | inline void execute_window_loop(const Window &w, L &&lambda_function, Ts &&... iterators) |
| 78 | { |
| 79 | w.validate(); |
| 80 | |
Diego Lopez Recas | 0021d75 | 2017-12-18 14:42:56 +0000 | [diff] [blame] | 81 | for(unsigned int i = 0; i < Coordinates::num_max_dimensions; ++i) |
| 82 | { |
| 83 | ARM_COMPUTE_ERROR_ON(w[i].step() == 0); |
| 84 | } |
| 85 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 86 | Coordinates id; |
| 87 | ForEachDimension<Coordinates::num_max_dimensions>::unroll(w, id, std::forward<L>(lambda_function), std::forward<Ts>(iterators)...); |
| 88 | } |
| 89 | |
| 90 | inline constexpr Iterator::Iterator() |
| 91 | : _ptr(nullptr), _dims() |
| 92 | { |
| 93 | } |
| 94 | |
| 95 | inline Iterator::Iterator(const ITensor *tensor, const Window &win) |
| 96 | : Iterator() |
| 97 | { |
| 98 | ARM_COMPUTE_ERROR_ON(tensor == nullptr); |
Diego Lopez Recas | 0021d75 | 2017-12-18 14:42:56 +0000 | [diff] [blame] | 99 | ARM_COMPUTE_ERROR_ON(tensor->info() == nullptr); |
| 100 | |
| 101 | const ITensorInfo *info = tensor->info(); |
| 102 | const Strides &strides = info->strides_in_bytes(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 103 | |
| 104 | _ptr = tensor->buffer() + info->offset_first_element_in_bytes(); |
| 105 | |
| 106 | //Initialize the stride for each dimension and calculate the position of the first element of the iteration: |
| 107 | for(unsigned int n = 0; n < info->num_dimensions(); ++n) |
| 108 | { |
| 109 | _dims[n]._stride = win[n].step() * strides[n]; |
Sheri Zhang | a3e6b6d | 2020-08-18 10:07:35 +0100 | [diff] [blame] | 110 | std::get<0>(_dims)._dim_start += static_cast<size_t>(strides[n]) * win[n].start(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 111 | } |
| 112 | |
| 113 | //Copy the starting point to all the dimensions: |
| 114 | for(unsigned int n = 1; n < Coordinates::num_max_dimensions; ++n) |
| 115 | { |
| 116 | _dims[n]._dim_start = std::get<0>(_dims)._dim_start; |
| 117 | } |
| 118 | |
| 119 | ARM_COMPUTE_ERROR_ON_WINDOW_DIMENSIONS_GTE(win, info->num_dimensions()); |
| 120 | } |
| 121 | |
| 122 | inline void Iterator::increment(const size_t dimension) |
| 123 | { |
| 124 | ARM_COMPUTE_ERROR_ON(dimension >= Coordinates::num_max_dimensions); |
| 125 | |
| 126 | _dims[dimension]._dim_start += _dims[dimension]._stride; |
| 127 | |
| 128 | for(unsigned int n = 0; n < dimension; ++n) |
| 129 | { |
| 130 | _dims[n]._dim_start = _dims[dimension]._dim_start; |
| 131 | } |
| 132 | } |
| 133 | |
Sheri Zhang | a3e6b6d | 2020-08-18 10:07:35 +0100 | [diff] [blame] | 134 | inline constexpr size_t Iterator::offset() const |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 135 | { |
| 136 | return _dims.at(0)._dim_start; |
| 137 | } |
| 138 | |
| 139 | inline constexpr uint8_t *Iterator::ptr() const |
| 140 | { |
| 141 | return _ptr + _dims.at(0)._dim_start; |
| 142 | } |
| 143 | |
| 144 | inline void Iterator::reset(const size_t dimension) |
| 145 | { |
| 146 | ARM_COMPUTE_ERROR_ON(dimension >= Coordinates::num_max_dimensions - 1); |
| 147 | |
| 148 | _dims[dimension]._dim_start = _dims[dimension + 1]._dim_start; |
| 149 | |
| 150 | for(unsigned int n = 0; n < dimension; ++n) |
| 151 | { |
| 152 | _dims[n]._dim_start = _dims[dimension]._dim_start; |
| 153 | } |
| 154 | } |
| 155 | |
Georgios Pinitas | 5ee66ea | 2017-09-07 17:29:16 +0100 | [diff] [blame] | 156 | inline Coordinates index2coords(const TensorShape &shape, int index) |
| 157 | { |
| 158 | int num_elements = shape.total_size(); |
| 159 | |
| 160 | ARM_COMPUTE_ERROR_ON_MSG(index < 0 || index >= num_elements, "Index has to be in [0, num_elements]!"); |
| 161 | ARM_COMPUTE_ERROR_ON_MSG(num_elements == 0, "Cannot create coordinate from empty shape!"); |
| 162 | |
| 163 | Coordinates coord{ 0 }; |
| 164 | |
| 165 | for(int d = shape.num_dimensions() - 1; d >= 0; --d) |
| 166 | { |
| 167 | num_elements /= shape[d]; |
| 168 | coord.set(d, index / num_elements); |
| 169 | index %= num_elements; |
| 170 | } |
| 171 | |
| 172 | return coord; |
| 173 | } |
| 174 | |
| 175 | inline int coords2index(const TensorShape &shape, const Coordinates &coord) |
| 176 | { |
| 177 | int num_elements = shape.total_size(); |
| 178 | ARM_COMPUTE_UNUSED(num_elements); |
| 179 | ARM_COMPUTE_ERROR_ON_MSG(num_elements == 0, "Cannot create linear index from empty shape!"); |
| 180 | |
| 181 | int index = 0; |
| 182 | int stride = 1; |
| 183 | |
| 184 | for(unsigned int d = 0; d < coord.num_dimensions(); ++d) |
| 185 | { |
| 186 | index += coord[d] * stride; |
| 187 | stride *= shape[d]; |
| 188 | } |
| 189 | |
| 190 | return index; |
| 191 | } |
Isabella Gottardi | d17a677 | 2018-02-27 17:41:55 +0000 | [diff] [blame] | 192 | |
Isabella Gottardi | d56e770 | 2018-02-28 14:29:36 +0000 | [diff] [blame] | 193 | inline size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension) |
Isabella Gottardi | d17a677 | 2018-02-27 17:41:55 +0000 | [diff] [blame] | 194 | { |
Isabella Gottardi | d56e770 | 2018-02-28 14:29:36 +0000 | [diff] [blame] | 195 | ARM_COMPUTE_ERROR_ON_MSG(data_layout == DataLayout::UNKNOWN, "Cannot retrieve the dimension index for an unknown layout!"); |
Isabella Gottardi | d17a677 | 2018-02-27 17:41:55 +0000 | [diff] [blame] | 196 | |
| 197 | /* Return the index based on the data layout |
| 198 | * [N C H W] |
| 199 | * [3 2 1 0] |
| 200 | * [N H W C] |
| 201 | */ |
| 202 | switch(data_layout_dimension) |
| 203 | { |
| 204 | case DataLayoutDimension::CHANNEL: |
Isabella Gottardi | d56e770 | 2018-02-28 14:29:36 +0000 | [diff] [blame] | 205 | return (data_layout == DataLayout::NCHW) ? 2 : 0; |
Isabella Gottardi | d17a677 | 2018-02-27 17:41:55 +0000 | [diff] [blame] | 206 | break; |
| 207 | case DataLayoutDimension::HEIGHT: |
Isabella Gottardi | d56e770 | 2018-02-28 14:29:36 +0000 | [diff] [blame] | 208 | return (data_layout == DataLayout::NCHW) ? 1 : 2; |
Isabella Gottardi | d17a677 | 2018-02-27 17:41:55 +0000 | [diff] [blame] | 209 | break; |
| 210 | case DataLayoutDimension::WIDTH: |
Isabella Gottardi | d56e770 | 2018-02-28 14:29:36 +0000 | [diff] [blame] | 211 | return (data_layout == DataLayout::NCHW) ? 0 : 1; |
Isabella Gottardi | d17a677 | 2018-02-27 17:41:55 +0000 | [diff] [blame] | 212 | break; |
| 213 | case DataLayoutDimension::BATCHES: |
| 214 | return 3; |
| 215 | break; |
| 216 | default: |
Isabella Gottardi | d17a677 | 2018-02-27 17:41:55 +0000 | [diff] [blame] | 217 | break; |
| 218 | } |
Matthew Bentham | 0082c36 | 2020-02-03 12:05:18 +0000 | [diff] [blame] | 219 | ARM_COMPUTE_ERROR("Data layout index not supported!"); |
Isabella Gottardi | d17a677 | 2018-02-27 17:41:55 +0000 | [diff] [blame] | 220 | } |
Usama Arif | 8cf8c11 | 2019-03-14 15:36:54 +0000 | [diff] [blame] | 221 | |
| 222 | inline DataLayoutDimension get_index_data_layout_dimension(const DataLayout data_layout, const size_t index) |
| 223 | { |
| 224 | ARM_COMPUTE_ERROR_ON_MSG(data_layout == DataLayout::UNKNOWN, "Cannot retrieve the dimension index for an unknown layout!"); |
| 225 | |
| 226 | /* Return the index based on the data layout |
| 227 | * [N C H W] |
| 228 | * [3 2 1 0] |
| 229 | * [N H W C] |
| 230 | */ |
| 231 | switch(index) |
| 232 | { |
| 233 | case 0: |
| 234 | return (data_layout == DataLayout::NCHW) ? DataLayoutDimension::WIDTH : DataLayoutDimension::CHANNEL; |
| 235 | break; |
| 236 | case 1: |
| 237 | return (data_layout == DataLayout::NCHW) ? DataLayoutDimension::HEIGHT : DataLayoutDimension::WIDTH; |
| 238 | break; |
| 239 | case 2: |
| 240 | return (data_layout == DataLayout::NCHW) ? DataLayoutDimension::CHANNEL : DataLayoutDimension::HEIGHT; |
| 241 | break; |
| 242 | case 3: |
| 243 | return DataLayoutDimension::BATCHES; |
| 244 | break; |
| 245 | default: |
| 246 | ARM_COMPUTE_ERROR("Index value not supported!"); |
| 247 | break; |
| 248 | } |
| 249 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 250 | } // namespace arm_compute |