Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Manuel Bottini | ceaa0bf | 2021-02-16 15:15:19 +0000 | [diff] [blame] | 2 | * Copyright (c) 2016-2021 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 | */ |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 24 | #ifndef ARM_COMPUTE_TYPES_H |
| 25 | #define ARM_COMPUTE_TYPES_H |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 26 | |
| 27 | #include "arm_compute/core/Coordinates.h" |
Georgios Pinitas | 4c5469b | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 28 | #include "arm_compute/core/QuantizationInfo.h" |
Isabella Gottardi | 6e464c3 | 2018-01-26 12:32:45 +0000 | [diff] [blame] | 29 | #include "arm_compute/core/Size2D.h" |
Adnan AlSinan | e4563a0 | 2021-09-01 15:32:03 +0100 | [diff] [blame] | 30 | #include "arm_compute/core/Size3D.h" |
Georgios Pinitas | 8795ffb | 2017-12-01 16:13:40 +0000 | [diff] [blame] | 31 | #include "arm_compute/core/Strides.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 32 | #include "arm_compute/core/TensorShape.h" |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 33 | #include "arm_compute/core/utils/misc/Macros.h" |
Georgios Pinitas | e8291ac | 2020-02-26 09:58:13 +0000 | [diff] [blame] | 34 | #include "support/Bfloat16.h" |
Georgios Pinitas | 583137c | 2017-08-31 18:12:42 +0100 | [diff] [blame] | 35 | #include "support/Half.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 36 | |
Michel Iwaniec | 5dfeae6 | 2017-11-29 10:48:23 +0000 | [diff] [blame] | 37 | #include <cmath> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 38 | #include <cstddef> |
| 39 | #include <cstdint> |
Isabella Gottardi | a7acb3c | 2019-01-08 13:48:44 +0000 | [diff] [blame] | 40 | #include <map> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 41 | #include <string> |
| 42 | #include <utility> |
| 43 | |
| 44 | namespace arm_compute |
| 45 | { |
Georgios Pinitas | 583137c | 2017-08-31 18:12:42 +0100 | [diff] [blame] | 46 | /** 16-bit floating point type */ |
| 47 | using half = half_float::half; |
| 48 | |
Georgios Pinitas | 8795ffb | 2017-12-01 16:13:40 +0000 | [diff] [blame] | 49 | /** Permutation vector */ |
| 50 | using PermutationVector = Strides; |
Georgios Pinitas | 77589b5 | 2018-08-21 14:41:35 +0100 | [diff] [blame] | 51 | /** Bidirectional strides */ |
| 52 | using BiStrides = Coordinates; |
Georgios Pinitas | 8795ffb | 2017-12-01 16:13:40 +0000 | [diff] [blame] | 53 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 54 | /** Image colour formats */ |
| 55 | enum class Format |
| 56 | { |
Daniil Efremov | 02bf80d | 2017-11-22 00:26:51 +0700 | [diff] [blame] | 57 | UNKNOWN, /**< Unknown image format */ |
| 58 | U8, /**< 1 channel, 1 U8 per channel */ |
| 59 | S16, /**< 1 channel, 1 S16 per channel */ |
| 60 | U16, /**< 1 channel, 1 U16 per channel */ |
| 61 | S32, /**< 1 channel, 1 S32 per channel */ |
| 62 | U32, /**< 1 channel, 1 U32 per channel */ |
Georgios Pinitas | e8291ac | 2020-02-26 09:58:13 +0000 | [diff] [blame] | 63 | BFLOAT16, /**< 16-bit brain floating-point number */ |
Daniil Efremov | 02bf80d | 2017-11-22 00:26:51 +0700 | [diff] [blame] | 64 | F16, /**< 1 channel, 1 F16 per channel */ |
| 65 | F32, /**< 1 channel, 1 F32 per channel */ |
| 66 | UV88, /**< 2 channel, 1 U8 per channel */ |
| 67 | RGB888, /**< 3 channels, 1 U8 per channel */ |
| 68 | RGBA8888, /**< 4 channels, 1 U8 per channel */ |
| 69 | YUV444, /**< A 3 plane of 8 bit 4:4:4 sampled Y, U, V planes */ |
| 70 | YUYV422, /**< A single plane of 32-bit macro pixel of Y0, U0, Y1, V0 bytes */ |
| 71 | NV12, /**< A 2 plane YUV format of Luma (Y) and interleaved UV data at 4:2:0 sampling */ |
| 72 | NV21, /**< A 2 plane YUV format of Luma (Y) and interleaved VU data at 4:2:0 sampling */ |
| 73 | IYUV, /**< A 3 plane of 8-bit 4:2:0 sampled Y, U, V planes */ |
| 74 | UYVY422 /**< A single plane of 32-bit macro pixel of U0, Y0, V0, Y1 byte */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 75 | }; |
| 76 | |
| 77 | /** Available data types */ |
| 78 | enum class DataType |
| 79 | { |
Georgios Pinitas | 8217c8e | 2019-11-11 18:24:22 +0000 | [diff] [blame] | 80 | UNKNOWN, /**< Unknown data type */ |
| 81 | U8, /**< unsigned 8-bit number */ |
| 82 | S8, /**< signed 8-bit number */ |
| 83 | QSYMM8, /**< quantized, symmetric fixed-point 8-bit number */ |
| 84 | QASYMM8, /**< quantized, asymmetric fixed-point 8-bit number unsigned */ |
| 85 | QASYMM8_SIGNED, /**< quantized, asymmetric fixed-point 8-bit number signed */ |
| 86 | QSYMM8_PER_CHANNEL, /**< quantized, symmetric per channel fixed-point 8-bit number */ |
| 87 | U16, /**< unsigned 16-bit number */ |
| 88 | S16, /**< signed 16-bit number */ |
| 89 | QSYMM16, /**< quantized, symmetric fixed-point 16-bit number */ |
| 90 | QASYMM16, /**< quantized, asymmetric fixed-point 16-bit number */ |
| 91 | U32, /**< unsigned 32-bit number */ |
| 92 | S32, /**< signed 32-bit number */ |
| 93 | U64, /**< unsigned 64-bit number */ |
| 94 | S64, /**< signed 64-bit number */ |
Georgios Pinitas | e8291ac | 2020-02-26 09:58:13 +0000 | [diff] [blame] | 95 | BFLOAT16, /**< 16-bit brain floating-point number */ |
Georgios Pinitas | 8217c8e | 2019-11-11 18:24:22 +0000 | [diff] [blame] | 96 | F16, /**< 16-bit floating-point number */ |
| 97 | F32, /**< 32-bit floating-point number */ |
| 98 | F64, /**< 64-bit floating-point number */ |
| 99 | SIZET /**< size_t */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 100 | }; |
| 101 | |
Daniil Efremov | 02bf80d | 2017-11-22 00:26:51 +0700 | [diff] [blame] | 102 | /** Available Sampling Policies */ |
| 103 | enum class SamplingPolicy |
| 104 | { |
| 105 | CENTER, /**< Samples are taken at pixel center */ |
| 106 | TOP_LEFT /**< Samples are taken at pixel top left corner */ |
| 107 | }; |
| 108 | |
Vidhya Sudhan Loganathan | d646ae1 | 2018-11-19 15:18:20 +0000 | [diff] [blame] | 109 | /** [DataLayout enum definition] **/ |
| 110 | |
Georgios Pinitas | 4074c99 | 2018-01-30 18:13:46 +0000 | [diff] [blame] | 111 | /** Supported tensor data layouts */ |
| 112 | enum class DataLayout |
| 113 | { |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 114 | UNKNOWN, /**< Unknown data layout */ |
| 115 | NCHW, /**< Num samples, channels, height, width */ |
Adnan AlSinan | e4563a0 | 2021-09-01 15:32:03 +0100 | [diff] [blame] | 116 | NHWC, /**< Num samples, height, width, channels */ |
Giorgio Arena | c9fe9fc | 2021-10-06 12:54:29 +0100 | [diff] [blame] | 117 | NCDHW, /**< Num samples, channels, depth, height, width */ |
Adnan AlSinan | e4563a0 | 2021-09-01 15:32:03 +0100 | [diff] [blame] | 118 | NDHWC /**< Num samples, depth, height, width, channels */ |
Georgios Pinitas | 4074c99 | 2018-01-30 18:13:46 +0000 | [diff] [blame] | 119 | }; |
Vidhya Sudhan Loganathan | d646ae1 | 2018-11-19 15:18:20 +0000 | [diff] [blame] | 120 | /** [DataLayout enum definition] **/ |
Georgios Pinitas | 4074c99 | 2018-01-30 18:13:46 +0000 | [diff] [blame] | 121 | |
Isabella Gottardi | d17a677 | 2018-02-27 17:41:55 +0000 | [diff] [blame] | 122 | /** Supported tensor data layout dimensions */ |
| 123 | enum class DataLayoutDimension |
| 124 | { |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 125 | CHANNEL, /**< channel */ |
| 126 | HEIGHT, /**< height */ |
| 127 | WIDTH, /**< width */ |
Giorgio Arena | c9fe9fc | 2021-10-06 12:54:29 +0100 | [diff] [blame] | 128 | DEPTH, /**< depth */ |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 129 | BATCHES /**< batches */ |
Isabella Gottardi | d17a677 | 2018-02-27 17:41:55 +0000 | [diff] [blame] | 130 | }; |
| 131 | |
Georgios Pinitas | 7900a9e | 2018-11-23 11:44:58 +0000 | [diff] [blame] | 132 | /** Available ConvolutionMethod*/ |
| 133 | enum class ConvolutionMethod |
| 134 | { |
Georgios Pinitas | c0b6f76 | 2020-11-02 01:37:17 +0000 | [diff] [blame] | 135 | GEMM, /**< Convolution using GEMM */ |
| 136 | GEMM_CONV2D, /**< Direct 2D GEMM convolution */ |
| 137 | DIRECT, /**< Direct convolution */ |
| 138 | WINOGRAD, /**< Convolution using Winograd */ |
| 139 | FFT /**< Convolution using FFT */ |
Georgios Pinitas | 7900a9e | 2018-11-23 11:44:58 +0000 | [diff] [blame] | 140 | }; |
| 141 | |
Manuel Bottini | 05069f0 | 2019-09-26 17:18:26 +0100 | [diff] [blame] | 142 | /** Available DepthwiseConvolutionFunction*/ |
| 143 | enum class DepthwiseConvolutionFunction |
| 144 | { |
| 145 | OPTIMIZED, /**< Optimized Depthwise Convolution */ |
| 146 | GENERIC, /**< Generic Depthwise Convolution */ |
| 147 | }; |
| 148 | |
giuros01 | 46a49a0 | 2019-04-01 13:50:22 +0100 | [diff] [blame] | 149 | /** Available DeconvolutionMethod*/ |
| 150 | enum class DeconvolutionMethod |
| 151 | { |
| 152 | GEMM, /**< Deconvolution using GEMM */ |
| 153 | DIRECT, /**< Direct deconvolution */ |
| 154 | }; |
| 155 | |
Manuel Bottini | 2732cca | 2019-05-28 11:44:41 +0100 | [diff] [blame] | 156 | /** Available FuseBatchNormalizationType*/ |
| 157 | enum class FuseBatchNormalizationType |
| 158 | { |
| 159 | CONVOLUTION, /**< For Convolution weights */ |
| 160 | DEPTHWISECONVOLUTION /**< For Depthwise Convolution weights*/ |
| 161 | }; |
| 162 | |
Usama Arif | 89890c6 | 2019-03-19 10:57:05 +0000 | [diff] [blame] | 163 | /** Padding mode to use for PadLayer */ |
| 164 | enum class PaddingMode |
| 165 | { |
| 166 | CONSTANT, |
| 167 | REFLECT, |
| 168 | SYMMETRIC |
| 169 | }; |
| 170 | |
Georgios Pinitas | 7900a9e | 2018-11-23 11:44:58 +0000 | [diff] [blame] | 171 | /** Supported comparison operations */ |
| 172 | enum class ComparisonOperation |
| 173 | { |
| 174 | Equal, /**< Equal comparison ( \f$ x == y \f$ ) */ |
| 175 | NotEqual, /**< NotEqual comparison ( \f$ x != y \f$ ) */ |
| 176 | Greater, /**< Greater comparison ( \f$ x > y \f$ ) */ |
| 177 | GreaterEqual, /**< Greater equal comparison ( \f$ x >= y \f$ ) */ |
| 178 | Less, /**< Less comparison ( \f$ x < y \f$ ) */ |
| 179 | LessEqual /**< Less equal comparison ( \f$ x <= y \f$ ) */ |
| 180 | }; |
| 181 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 182 | /** Container for valid region of a window */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 183 | struct ValidRegion |
| 184 | { |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 185 | /** Default constructor */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 186 | ValidRegion() |
| 187 | : anchor{}, shape{} |
| 188 | { |
| 189 | } |
| 190 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 191 | /** Allow instances of this class to be copy constructed */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 192 | ValidRegion(const ValidRegion &) = default; |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 193 | /** Allow instances of this class to be move constructed */ |
| 194 | ValidRegion(ValidRegion &&) = default; |
| 195 | /** Allow instances of this class to be copied */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 196 | ValidRegion &operator=(const ValidRegion &) = default; |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 197 | /** Allow instances of this class to be moved */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 198 | ValidRegion &operator=(ValidRegion &&) = default; |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 199 | /** Default destructor */ |
| 200 | ~ValidRegion() = default; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 201 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 202 | /** Constructor for a valid region with default number of dimensions |
| 203 | * |
| 204 | * @param[in] an_anchor Anchor for the start of the valid region. |
| 205 | * @param[in] a_shape Shape of the valid region. |
| 206 | * |
| 207 | */ |
Diego Lopez Recas | bcbc970 | 2017-12-18 11:28:27 +0000 | [diff] [blame] | 208 | ValidRegion(const Coordinates &an_anchor, const TensorShape &a_shape) |
| 209 | : anchor{ an_anchor }, shape{ a_shape } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 210 | { |
Diego Lopez Recas | bcbc970 | 2017-12-18 11:28:27 +0000 | [diff] [blame] | 211 | anchor.set_num_dimensions(std::max(anchor.num_dimensions(), shape.num_dimensions())); |
| 212 | } |
| 213 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 214 | /** Constructor for a valid region with specified number of dimensions |
| 215 | * |
| 216 | * @param[in] an_anchor Anchor for the start of the valid region. |
| 217 | * @param[in] a_shape Shape of the valid region. |
| 218 | * @param[in] num_dimensions Number of dimensions (must be >= number of dimensions of anchor and shape). |
| 219 | * |
| 220 | */ |
Diego Lopez Recas | bcbc970 | 2017-12-18 11:28:27 +0000 | [diff] [blame] | 221 | ValidRegion(const Coordinates &an_anchor, const TensorShape &a_shape, size_t num_dimensions) |
| 222 | : anchor{ an_anchor }, shape{ a_shape } |
| 223 | { |
| 224 | ARM_COMPUTE_ERROR_ON(num_dimensions < std::max(anchor.num_dimensions(), shape.num_dimensions())); |
| 225 | anchor.set_num_dimensions(num_dimensions); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 226 | } |
| 227 | |
| 228 | /** Return the start of the valid region for the given dimension @p d */ |
| 229 | int start(unsigned int d) const |
| 230 | { |
| 231 | return anchor[d]; |
| 232 | } |
| 233 | |
| 234 | /** Return the end of the valid region for the given dimension @p d */ |
| 235 | int end(unsigned int d) const |
| 236 | { |
| 237 | return anchor[d] + shape[d]; |
| 238 | } |
| 239 | |
Diego Lopez Recas | 35ceeb2 | 2017-12-04 18:56:10 +0000 | [diff] [blame] | 240 | /** Accessor to set the value of anchor and shape for one of the dimensions. |
| 241 | * |
| 242 | * @param[in] dimension Dimension for which the value is set. |
| 243 | * @param[in] start Value to be set in anchor for the dimension. |
| 244 | * @param[in] size Value to be set in shape for the dimension. |
| 245 | * |
| 246 | * @return *this. |
| 247 | */ |
| 248 | ValidRegion &set(size_t dimension, int start, size_t size) |
| 249 | { |
| 250 | anchor.set(dimension, start); |
| 251 | shape.set(dimension, size); |
| 252 | return *this; |
| 253 | } |
| 254 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 255 | Coordinates anchor; /**< Anchor for the start of the valid region. */ |
| 256 | TensorShape shape; /**< Shape of the valid region. */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 257 | }; |
| 258 | |
| 259 | /** Methods available to handle borders */ |
| 260 | enum class BorderMode |
| 261 | { |
| 262 | UNDEFINED, /**< Borders are left undefined */ |
| 263 | CONSTANT, /**< Pixels outside the image are assumed to have a constant value */ |
| 264 | REPLICATE /**< Pixels outside the image are assumed to have the same value as the closest image pixel */ |
| 265 | }; |
| 266 | |
| 267 | /** Container for 2D border size */ |
| 268 | struct BorderSize |
| 269 | { |
| 270 | /** Empty border, i.e. no border */ |
Pablo Marquez Tello | 383de02 | 2021-03-18 11:31:13 +0000 | [diff] [blame] | 271 | constexpr BorderSize() noexcept |
| 272 | : top{ 0 }, |
| 273 | right{ 0 }, |
| 274 | bottom{ 0 }, |
| 275 | left{ 0 } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 276 | { |
| 277 | } |
| 278 | |
| 279 | /** Border with equal size around the 2D plane */ |
Pablo Marquez Tello | 383de02 | 2021-03-18 11:31:13 +0000 | [diff] [blame] | 280 | explicit constexpr BorderSize(unsigned int size) noexcept |
| 281 | : top{ size }, |
| 282 | right{ size }, |
| 283 | bottom{ size }, |
| 284 | left{ size } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 285 | { |
| 286 | } |
| 287 | |
| 288 | /** Border with same size for top/bottom and left/right */ |
| 289 | constexpr BorderSize(unsigned int top_bottom, unsigned int left_right) |
| 290 | : top{ top_bottom }, right{ left_right }, bottom{ top_bottom }, left{ left_right } |
| 291 | { |
| 292 | } |
| 293 | |
| 294 | /** Border with different sizes */ |
| 295 | constexpr BorderSize(unsigned int top, unsigned int right, unsigned int bottom, unsigned int left) |
| 296 | : top{ top }, right{ right }, bottom{ bottom }, left{ left } |
| 297 | { |
| 298 | } |
| 299 | |
| 300 | /** Check if the entire border is zero */ |
| 301 | constexpr bool empty() const |
| 302 | { |
| 303 | return top == 0 && right == 0 && bottom == 0 && left == 0; |
| 304 | } |
| 305 | |
| 306 | /** Check if the border is the same size on all sides */ |
| 307 | constexpr bool uniform() const |
| 308 | { |
| 309 | return top == right && top == bottom && top == left; |
| 310 | } |
| 311 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 312 | /** Scale this border size. |
| 313 | * |
| 314 | * @param[in] scale Scale to multiply border size by. |
| 315 | * |
| 316 | * @return *this. |
| 317 | */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 318 | BorderSize &operator*=(float scale) |
| 319 | { |
| 320 | top *= scale; |
| 321 | right *= scale; |
| 322 | bottom *= scale; |
| 323 | left *= scale; |
| 324 | |
| 325 | return *this; |
| 326 | } |
| 327 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 328 | /** Scale a copy of this border size. |
| 329 | * |
| 330 | * @param[in] scale Scale to multiply border size by. |
| 331 | * |
| 332 | * @return a scaled copy of this. |
| 333 | */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 334 | BorderSize operator*(float scale) |
| 335 | { |
| 336 | BorderSize size = *this; |
| 337 | size *= scale; |
| 338 | |
| 339 | return size; |
| 340 | } |
| 341 | |
Giorgio Arena | 1e2af2a | 2020-10-15 17:39:41 +0100 | [diff] [blame] | 342 | /** Check equality with another BorderSize struct |
| 343 | * |
| 344 | * @param[in] rhs other struct to check against |
| 345 | * |
| 346 | * @return true if they are equal |
| 347 | */ |
| 348 | bool operator==(const BorderSize &rhs) |
| 349 | { |
| 350 | return (top == rhs.top) && (right == rhs.right) && (bottom == rhs.bottom) && (left == rhs.left); |
| 351 | } |
| 352 | |
| 353 | /** Check non-equality with another BorderSize struct |
| 354 | * |
| 355 | * @param[in] rhs other struct to check against |
| 356 | * |
| 357 | * @return true if they are different |
| 358 | */ |
| 359 | bool operator!=(const BorderSize &rhs) |
| 360 | { |
| 361 | return !(*this == rhs); |
| 362 | } |
| 363 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 364 | /** Limit this border size. |
| 365 | * |
| 366 | * @param[in] limit Border size to limit this border size to. |
| 367 | */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 368 | void limit(const BorderSize &limit) |
| 369 | { |
| 370 | top = std::min(top, limit.top); |
| 371 | right = std::min(right, limit.right); |
| 372 | bottom = std::min(bottom, limit.bottom); |
| 373 | left = std::min(left, limit.left); |
| 374 | } |
| 375 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 376 | unsigned int top; /**< top of the border */ |
| 377 | unsigned int right; /**< right of the border */ |
| 378 | unsigned int bottom; /**< bottom of the border */ |
| 379 | unsigned int left; /**< left of the border */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 380 | }; |
| 381 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 382 | /** Container for 2D padding size */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 383 | using PaddingSize = BorderSize; |
| 384 | |
| 385 | /** Policy to handle overflow */ |
| 386 | enum class ConvertPolicy |
| 387 | { |
| 388 | WRAP, /**< Wrap around */ |
| 389 | SATURATE /**< Saturate */ |
| 390 | }; |
| 391 | |
| 392 | /** Interpolation method */ |
| 393 | enum class InterpolationPolicy |
| 394 | { |
| 395 | NEAREST_NEIGHBOR, /**< Output values are defined to match the source pixel whose center is nearest to the sample position */ |
| 396 | BILINEAR, /**< Output values are defined by bilinear interpolation between the pixels */ |
| 397 | AREA, /**< Output values are determined by averaging the source pixels whose areas fall under the area of the destination pixel, projected onto the source image */ |
| 398 | }; |
| 399 | |
| 400 | /** Bilinear Interpolation method used by LKTracker */ |
| 401 | enum class BilinearInterpolation |
| 402 | { |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 403 | BILINEAR_OLD_NEW, /**< Old-new method */ |
| 404 | BILINEAR_SCHARR /**< Scharr method */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 405 | }; |
| 406 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 407 | /** Rectangle type */ |
| 408 | struct Rectangle |
| 409 | { |
| 410 | uint16_t x; /**< Top-left x coordinate */ |
| 411 | uint16_t y; /**< Top-left y coordinate */ |
| 412 | uint16_t width; /**< Width of the rectangle */ |
| 413 | uint16_t height; /**< Height of the rectangle */ |
| 414 | }; |
| 415 | |
| 416 | /** Coordinate type */ |
| 417 | struct Coordinates2D |
| 418 | { |
| 419 | int32_t x; /**< X coordinates */ |
| 420 | int32_t y; /**< Y coordinates */ |
| 421 | }; |
| 422 | |
| 423 | /** Coordinate type */ |
| 424 | struct Coordinates3D |
| 425 | { |
| 426 | uint32_t x; /**< X coordinates */ |
| 427 | uint32_t y; /**< Y coordinates */ |
| 428 | uint32_t z; /**< Z coordinates */ |
| 429 | }; |
| 430 | |
Giuseppe Rossini | d7647d4 | 2018-07-17 18:13:13 +0100 | [diff] [blame] | 431 | /** Padding information as a pair of unsigned int start/end */ |
| 432 | using PaddingInfo = std::pair<uint32_t, uint32_t>; |
| 433 | |
| 434 | /** List of padding information */ |
| 435 | using PaddingList = std::vector<PaddingInfo>; |
| 436 | |
giuros01 | 3175fcf | 2018-11-21 09:59:17 +0000 | [diff] [blame] | 437 | /** Information to produce a tiled version of a Tensor */ |
| 438 | using Multiples = std::vector<uint32_t>; |
| 439 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 440 | /** Available channels */ |
| 441 | enum class Channel |
| 442 | { |
| 443 | UNKNOWN, /** Unknown channel format */ |
| 444 | C0, /**< First channel (used by formats with unknown channel types). */ |
| 445 | C1, /**< Second channel (used by formats with unknown channel types). */ |
| 446 | C2, /**< Third channel (used by formats with unknown channel types). */ |
| 447 | C3, /**< Fourth channel (used by formats with unknown channel types). */ |
| 448 | R, /**< Red channel. */ |
| 449 | G, /**< Green channel. */ |
| 450 | B, /**< Blue channel. */ |
| 451 | A, /**< Alpha channel. */ |
| 452 | Y, /**< Luma channel. */ |
| 453 | U, /**< Cb/U channel. */ |
| 454 | V /**< Cr/V/Value channel. */ |
| 455 | }; |
| 456 | |
Georgios Pinitas | d976958 | 2017-08-03 10:19:40 +0100 | [diff] [blame] | 457 | /** Available reduction operations */ |
| 458 | enum class ReductionOperation |
| 459 | { |
Michalis Spyrou | 7930db4 | 2018-11-22 17:36:28 +0000 | [diff] [blame] | 460 | ARG_IDX_MAX, /**< Index of the max value */ |
Manuel Bottini | b412fab | 2018-12-10 17:40:23 +0000 | [diff] [blame] | 461 | ARG_IDX_MIN, /**< Index of the min value */ |
| 462 | MEAN_SUM, /**< Mean of sum */ |
| 463 | PROD, /**< Product */ |
| 464 | SUM_SQUARE, /**< Sum of squares */ |
Usama Arif | a4a08ad | 2019-05-20 12:38:33 +0100 | [diff] [blame] | 465 | SUM, /**< Sum */ |
| 466 | MIN, /**< Min */ |
Usama Arif | 28f0dd9 | 2019-05-20 13:44:34 +0100 | [diff] [blame] | 467 | MAX, /**< Max */ |
Georgios Pinitas | d976958 | 2017-08-03 10:19:40 +0100 | [diff] [blame] | 468 | }; |
| 469 | |
giuros01 | 164a272 | 2018-11-20 18:34:46 +0000 | [diff] [blame] | 470 | /** Available element-wise operations */ |
| 471 | enum class ArithmeticOperation |
| 472 | { |
| 473 | ADD, /**< (x + y) */ |
| 474 | SUB, /**< (x - y) */ |
| 475 | DIV, /**< (x / y) */ |
| 476 | MIN, /**< Min(x, y) */ |
| 477 | MAX, /**< Max(x, y) */ |
| 478 | SQUARED_DIFF, /**< (x - y)^2 */ |
Usama Arif | 81e671e | 2019-05-13 13:33:14 +0100 | [diff] [blame] | 479 | POWER, /**< x ^ y */ |
giuros01 | 1e6e1b8 | 2019-05-14 16:12:53 +0100 | [diff] [blame] | 480 | PRELU, /**< y*x if x < 0, x otherwise */ |
giuros01 | 164a272 | 2018-11-20 18:34:46 +0000 | [diff] [blame] | 481 | }; |
| 482 | |
Michalis Spyrou | e936262 | 2018-11-23 17:41:37 +0000 | [diff] [blame] | 483 | /** Available element wise unary operations */ |
| 484 | enum class ElementWiseUnary |
| 485 | { |
Sang-Hoon Park | 75eea33 | 2020-11-13 13:44:13 +0000 | [diff] [blame] | 486 | RSQRT, /**< Reverse square root */ |
| 487 | EXP, /**< Exponential */ |
| 488 | NEG, /**< Negate */ |
| 489 | LOG, /**< Natural Logarithm */ |
| 490 | ABS, /**< Absolute value */ |
| 491 | SIN, /**< Sine */ |
| 492 | ROUND, /**< Round */ |
| 493 | LOGICAL_NOT, /**< Logical Not */ |
Michalis Spyrou | e936262 | 2018-11-23 17:41:37 +0000 | [diff] [blame] | 494 | }; |
| 495 | |
Manuel Bottini | 63bb7ca | 2020-12-02 13:22:14 +0000 | [diff] [blame] | 496 | /** Available bitwise operations */ |
| 497 | enum class BitwiseOperation |
| 498 | { |
| 499 | AND, /**< Bitwise AND operation */ |
| 500 | NOT, /**< Bitwise NOT operation */ |
| 501 | OR, /**< Bitwise OR operation */ |
| 502 | XOR, /**< Bitwise XOR operation */ |
| 503 | }; |
| 504 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 505 | /** The normalization type used for the normalization layer */ |
| 506 | enum class NormType |
| 507 | { |
| 508 | IN_MAP_1D, /**< Normalization applied within the same map in 1D region */ |
| 509 | IN_MAP_2D, /**< Normalization applied within the same map in 2D region */ |
| 510 | CROSS_MAP /**< Normalization applied cross maps */ |
| 511 | }; |
| 512 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 513 | /** Detection window used for the object detection. The detection window keeps the following information: |
| 514 | * |
| 515 | * -# Geometry of the rectangular window (x/y of top-left corner and width/height) |
| 516 | * -# Index of the class used for evaluating which class the detection window belongs to |
| 517 | * -# Confidence value (score) obtained with the classifier |
| 518 | */ |
| 519 | struct DetectionWindow |
| 520 | { |
| 521 | uint16_t x{ 0 }; /**< Top-left x coordinate */ |
| 522 | uint16_t y{ 0 }; /**< Top-left y coordinate */ |
| 523 | uint16_t width{ 0 }; /**< Width of the detection window */ |
| 524 | uint16_t height{ 0 }; /**< Height of the detection window */ |
| 525 | uint16_t idx_class{ 0 }; /**< Index of the class */ |
| 526 | float score{ 0.f }; /**< Confidence value for the detection window */ |
| 527 | }; |
| 528 | |
| 529 | /** Dimension rounding type when down-scaling on CNNs |
| 530 | * @note Used in pooling and convolution layer |
| 531 | */ |
| 532 | enum class DimensionRoundingType |
| 533 | { |
| 534 | FLOOR, /**< Floor rounding */ |
| 535 | CEIL /**< Ceil rounding */ |
| 536 | }; |
| 537 | |
| 538 | /** Available pooling types */ |
| 539 | enum class PoolingType |
| 540 | { |
| 541 | MAX, /**< Max Pooling */ |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 542 | AVG, /**< Average Pooling */ |
| 543 | L2 /**< L2 Pooling */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 544 | }; |
| 545 | |
Michalis Spyrou | 2709d61 | 2018-09-19 09:46:47 +0100 | [diff] [blame] | 546 | /** Available non maxima suppression types */ |
| 547 | enum class NMSType |
| 548 | { |
| 549 | LINEAR, /**< Linear NMS */ |
| 550 | GAUSSIAN, /**< Gaussian NMS */ |
| 551 | ORIGINAL /**< Original NMS */ |
| 552 | }; |
| 553 | |
| 554 | /** BoxWithNonMaximaSuppressionLimit Information class */ |
| 555 | class BoxNMSLimitInfo final |
| 556 | { |
| 557 | public: |
| 558 | /** Constructor |
| 559 | * |
| 560 | * @param[in] score_thresh (Optional) Score threshold. |
| 561 | * @param[in] nms (Optional) NMS value |
| 562 | * @param[in] detections (Optional) Number of detections |
| 563 | * @param[in] soft_nms_enabled (Optional) Enable SoftNMS |
| 564 | * @param[in] soft_nms_method (Optional) Soft NMS method |
| 565 | * @param[in] soft_nms_sigma (Optional) Soft NMS sigma value |
| 566 | * @param[in] soft_nms_min_score_thres (Optional) Soft NMS minimum score threshold |
Manuel Bottini | 5209be5 | 2019-02-13 16:34:56 +0000 | [diff] [blame] | 567 | * @param[in] suppress_size (Optional) Filter out boxes based on their size. Defaults to false |
| 568 | * @param[in] min_size (Optional) Smaller boxes than min_size will be filtered out. Defaults to 1 |
| 569 | * @param[in] im_width (Optional) Boxes whose centers (on the x axis) is beyond im_width will be filtered. Defaults to 1 |
| 570 | * @param[in] im_height (Optional) Boxes whose centers (on the y axis) is beyond im_height will be filtered. Defaults to 1 |
Michalis Spyrou | 2709d61 | 2018-09-19 09:46:47 +0100 | [diff] [blame] | 571 | */ |
| 572 | BoxNMSLimitInfo(float score_thresh = 0.05f, float nms = 0.3f, |
| 573 | int detections = 100, bool soft_nms_enabled = false, |
| 574 | NMSType soft_nms_method = NMSType::LINEAR, |
Manuel Bottini | 5209be5 | 2019-02-13 16:34:56 +0000 | [diff] [blame] | 575 | float soft_nms_sigma = 0.5f, float soft_nms_min_score_thres = 0.001f, bool suppress_size = false, float min_size = 1.0f, float im_width = 1.0f, float im_height = 1.0f) |
Michalis Spyrou | 2709d61 | 2018-09-19 09:46:47 +0100 | [diff] [blame] | 576 | : _score_thresh(score_thresh), _nms(nms), _detections_per_im(detections), _soft_nms_enabled(soft_nms_enabled), _soft_nms_method(soft_nms_method), _soft_nms_sigma(soft_nms_sigma), |
Manuel Bottini | 5209be5 | 2019-02-13 16:34:56 +0000 | [diff] [blame] | 577 | _soft_nms_min_score_thres(soft_nms_min_score_thres), _suppress_size(suppress_size), _min_size(min_size), _im_width(im_width), _im_height(im_height) |
Michalis Spyrou | 2709d61 | 2018-09-19 09:46:47 +0100 | [diff] [blame] | 578 | { |
| 579 | } |
| 580 | /** Get the score threshold */ |
| 581 | float score_thresh() const |
| 582 | { |
| 583 | return _score_thresh; |
| 584 | } |
| 585 | /** Get the NMS */ |
| 586 | float nms() const |
| 587 | { |
| 588 | return _nms; |
| 589 | } |
| 590 | /** Get the number of detections */ |
| 591 | int detections_per_im() const |
| 592 | { |
| 593 | return _detections_per_im; |
| 594 | } |
| 595 | /** Check if soft NMS is enabled */ |
| 596 | bool soft_nms_enabled() const |
| 597 | { |
| 598 | return _soft_nms_enabled; |
| 599 | } |
| 600 | /** Get soft NMS method */ |
| 601 | NMSType soft_nms_method() const |
| 602 | { |
| 603 | return _soft_nms_method; |
| 604 | } |
| 605 | /** Get soft NMS sigma */ |
| 606 | float soft_nms_sigma() const |
| 607 | { |
| 608 | return _soft_nms_sigma; |
| 609 | } |
| 610 | /** Get soft nms min score threshold */ |
| 611 | float soft_nms_min_score_thres() const |
| 612 | { |
| 613 | return _soft_nms_min_score_thres; |
| 614 | } |
Manuel Bottini | 5209be5 | 2019-02-13 16:34:56 +0000 | [diff] [blame] | 615 | /** Get if NMS will suppress boxes based on their size/position */ |
| 616 | bool suppress_size() const |
| 617 | { |
| 618 | return _suppress_size; |
| 619 | } |
| 620 | /** Get size suppression threshold */ |
| 621 | float min_size() const |
| 622 | { |
| 623 | return _min_size; |
| 624 | } |
| 625 | /** Get image width (NMS may suppress boxes whose center sits beyond the image width) */ |
| 626 | float im_width() const |
| 627 | { |
| 628 | return _im_width; |
| 629 | } |
| 630 | /** Get image height (NMS may suppress boxes whose center sits beyond the image height) */ |
| 631 | float im_height() const |
| 632 | { |
| 633 | return _im_height; |
| 634 | } |
Michalis Spyrou | 2709d61 | 2018-09-19 09:46:47 +0100 | [diff] [blame] | 635 | |
| 636 | private: |
| 637 | float _score_thresh; |
| 638 | float _nms; |
| 639 | int _detections_per_im; |
| 640 | bool _soft_nms_enabled; |
| 641 | NMSType _soft_nms_method; |
| 642 | float _soft_nms_sigma; |
| 643 | float _soft_nms_min_score_thres; |
Manuel Bottini | 5209be5 | 2019-02-13 16:34:56 +0000 | [diff] [blame] | 644 | bool _suppress_size; |
| 645 | float _min_size; |
| 646 | float _im_width; |
| 647 | float _im_height; |
Michalis Spyrou | 2709d61 | 2018-09-19 09:46:47 +0100 | [diff] [blame] | 648 | }; |
| 649 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 650 | /** Padding and stride information class */ |
| 651 | class PadStrideInfo |
| 652 | { |
| 653 | public: |
| 654 | /** Constructor |
| 655 | * |
| 656 | * @param[in] stride_x (Optional) Stride, in elements, across x. Defaults to 1. |
| 657 | * @param[in] stride_y (Optional) Stride, in elements, across y. Defaults to 1. |
| 658 | * @param[in] pad_x (Optional) Padding, in elements, across x. Defaults to 0. |
| 659 | * @param[in] pad_y (Optional) Padding, in elements, across y. Defaults to 0. |
| 660 | * @param[in] round (Optional) Dimensions rounding. Defaults to @ref FLOOR. |
| 661 | */ |
| 662 | PadStrideInfo(unsigned int stride_x = 1, unsigned int stride_y = 1, |
| 663 | unsigned int pad_x = 0, unsigned int pad_y = 0, |
| 664 | DimensionRoundingType round = DimensionRoundingType::FLOOR) |
| 665 | : _stride(std::make_pair(stride_x, stride_y)), |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 666 | _pad_left(pad_x), |
| 667 | _pad_top(pad_y), |
| 668 | _pad_right(pad_x), |
| 669 | _pad_bottom(pad_y), |
| 670 | _round_type(round) |
| 671 | { |
| 672 | } |
| 673 | /** Constructor |
| 674 | * |
| 675 | * @param[in] stride_x Stride, in elements, across x. |
| 676 | * @param[in] stride_y Stride, in elements, across y. |
| 677 | * @param[in] pad_left Padding across x on the left, in elements. |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 678 | * @param[in] pad_right Padding across x on the right, in elements. |
Freddie Liardet | ded3663 | 2021-09-03 15:08:23 +0100 | [diff] [blame^] | 679 | * @param[in] pad_top Padding across y on the top, in elements. |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 680 | * @param[in] pad_bottom Padding across y on the bottom, in elements. |
| 681 | * @param[in] round Dimensions rounding. |
| 682 | */ |
| 683 | PadStrideInfo(unsigned int stride_x, unsigned int stride_y, |
| 684 | unsigned int pad_left, unsigned int pad_right, |
| 685 | unsigned int pad_top, unsigned int pad_bottom, |
| 686 | DimensionRoundingType round) |
| 687 | : _stride(std::make_pair(stride_x, stride_y)), |
| 688 | _pad_left(pad_left), |
| 689 | _pad_top(pad_top), |
| 690 | _pad_right(pad_right), |
| 691 | _pad_bottom(pad_bottom), |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 692 | _round_type(round) |
| 693 | { |
| 694 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 695 | /** Get the stride. |
| 696 | * |
| 697 | * @return a pair: stride x, stride y. |
| 698 | */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 699 | std::pair<unsigned int, unsigned int> stride() const |
| 700 | { |
| 701 | return _stride; |
| 702 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 703 | /** Check whether the padding is symmetric. |
| 704 | * |
| 705 | * @return True if the padding is symmetric. |
| 706 | */ |
Anthony Barbier | 21f67d6 | 2018-02-16 15:17:48 +0000 | [diff] [blame] | 707 | bool padding_is_symmetric() const |
| 708 | { |
| 709 | return (_pad_left == _pad_right) && (_pad_top == _pad_bottom); |
| 710 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 711 | /** Get the padding. |
| 712 | * |
| 713 | * @note This should only be used when the padding is symmetric. |
| 714 | * |
| 715 | * @return a pair: padding left/right, padding top/bottom |
| 716 | */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 717 | std::pair<unsigned int, unsigned int> pad() const |
| 718 | { |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 719 | //this accessor should be used only when padding is symmetric |
Anthony Barbier | 21f67d6 | 2018-02-16 15:17:48 +0000 | [diff] [blame] | 720 | ARM_COMPUTE_ERROR_ON(!padding_is_symmetric()); |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 721 | return std::make_pair(_pad_left, _pad_top); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 722 | } |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 723 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 724 | /** Get the left padding */ |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 725 | unsigned int pad_left() const |
| 726 | { |
| 727 | return _pad_left; |
| 728 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 729 | /** Get the right padding */ |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 730 | unsigned int pad_right() const |
| 731 | { |
| 732 | return _pad_right; |
| 733 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 734 | /** Get the top padding */ |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 735 | unsigned int pad_top() const |
| 736 | { |
| 737 | return _pad_top; |
| 738 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 739 | /** Get the bottom padding */ |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 740 | unsigned int pad_bottom() const |
| 741 | { |
| 742 | return _pad_bottom; |
| 743 | } |
| 744 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 745 | /** Get the rounding type */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 746 | DimensionRoundingType round() const |
| 747 | { |
| 748 | return _round_type; |
| 749 | } |
| 750 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 751 | /** Check whether this has any padding */ |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 752 | bool has_padding() const |
| 753 | { |
| 754 | return (_pad_left != 0 || _pad_top != 0 || _pad_right != 0 || _pad_bottom != 0); |
| 755 | } |
| 756 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 757 | private: |
| 758 | std::pair<unsigned int, unsigned int> _stride; |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 759 | unsigned int _pad_left; |
| 760 | unsigned int _pad_top; |
| 761 | unsigned int _pad_right; |
| 762 | unsigned int _pad_bottom; |
| 763 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 764 | DimensionRoundingType _round_type; |
| 765 | }; |
| 766 | |
Adnan AlSinan | e4563a0 | 2021-09-01 15:32:03 +0100 | [diff] [blame] | 767 | /** Padding information for 3D operations like Conv3d */ |
| 768 | struct Padding3D |
| 769 | { |
Giorgio Arena | c9fe9fc | 2021-10-06 12:54:29 +0100 | [diff] [blame] | 770 | Padding3D() |
| 771 | { |
| 772 | } |
| 773 | |
| 774 | Padding3D(size_t pad_x, size_t pad_y, size_t pad_z) |
| 775 | : left(pad_x), right(pad_x), top(pad_y), bottom(pad_y), front(pad_z), back(pad_z) |
| 776 | { |
| 777 | } |
| 778 | |
| 779 | Padding3D(size_t left, size_t right, size_t top, size_t bottom, size_t front, size_t back) |
| 780 | : left(left), right(right), top(top), bottom(bottom), front(front), back(back) |
| 781 | { |
| 782 | } |
| 783 | |
Adnan AlSinan | e4563a0 | 2021-09-01 15:32:03 +0100 | [diff] [blame] | 784 | size_t left = { 0 }; /**< Padding across the width dimenstion on the left, in elements. */ |
| 785 | size_t right = { 0 }; /**< Padding across the width dimenstion on the right, in elements. */ |
| 786 | size_t top = { 0 }; /**< Padding across the height dimenstion on the top, in elements. */ |
| 787 | size_t bottom = { 0 }; /**< Padding across the height dimenstion on the bottom, in elements. */ |
| 788 | size_t front = { 0 }; /**< Padding across the depth dimenstion on the front, in elements. */ |
| 789 | size_t back = { 0 }; /**< Padding across the depth dimenstion on the back, in elements. */ |
| 790 | }; |
| 791 | |
Michalis Spyrou | 6c7c38e | 2018-08-29 16:28:11 +0100 | [diff] [blame] | 792 | /** PriorBox layer info */ |
| 793 | class PriorBoxLayerInfo final |
| 794 | { |
| 795 | public: |
| 796 | /** Default Constructor */ |
| 797 | PriorBoxLayerInfo() |
| 798 | : _min_sizes(), |
| 799 | _variances(), |
| 800 | _offset(), |
| 801 | _flip(true), |
| 802 | _clip(false), |
| 803 | _max_sizes(), |
| 804 | _aspect_ratios(), |
| 805 | _img_size(), |
| 806 | _steps() |
| 807 | { |
| 808 | } |
| 809 | /** Constructor |
| 810 | * |
| 811 | * @param[in] min_sizes Min sizes vector. |
Michalis Spyrou | 721c4cb | 2018-09-04 15:27:25 +0100 | [diff] [blame] | 812 | * @param[in] variances Variances vector. |
Michalis Spyrou | 6c7c38e | 2018-08-29 16:28:11 +0100 | [diff] [blame] | 813 | * @param[in] offset Offset value. |
| 814 | * @param[in] flip (Optional) Flip the aspect ratios. |
| 815 | * @param[in] clip (Optional) Clip coordinates so that they're within [0,1]. |
| 816 | * @param[in] max_sizes (Optional) Max sizes vector. |
| 817 | * @param[in] aspect_ratios (Optional) Aspect ratios of the boxes. |
| 818 | * @param[in] img_size (Optional) Image size. |
| 819 | * @param[in] steps (Optional) Step values. |
| 820 | */ |
| 821 | PriorBoxLayerInfo(const std::vector<float> &min_sizes, const std::vector<float> &variances, float offset, bool flip = true, bool clip = false, |
Pablo Tello | 3252143 | 2018-11-15 14:43:10 +0000 | [diff] [blame] | 822 | const std::vector<float> &max_sizes = {}, const std::vector<float> &aspect_ratios = {}, |
| 823 | const Coordinates2D &img_size = Coordinates2D{ 0, 0 }, const std::array<float, 2> &steps = { { 0.f, 0.f } }) |
Michalis Spyrou | 6c7c38e | 2018-08-29 16:28:11 +0100 | [diff] [blame] | 824 | : _min_sizes(min_sizes), |
| 825 | _variances(variances), |
| 826 | _offset(offset), |
| 827 | _flip(flip), |
| 828 | _clip(clip), |
| 829 | _max_sizes(max_sizes), |
Michalis Spyrou | 721c4cb | 2018-09-04 15:27:25 +0100 | [diff] [blame] | 830 | _aspect_ratios(), |
Michalis Spyrou | 6c7c38e | 2018-08-29 16:28:11 +0100 | [diff] [blame] | 831 | _img_size(img_size), |
| 832 | _steps(steps) |
| 833 | { |
| 834 | _aspect_ratios.push_back(1.); |
| 835 | for(unsigned int i = 0; i < aspect_ratios.size(); ++i) |
| 836 | { |
| 837 | float ar = aspect_ratios[i]; |
| 838 | bool already_exist = false; |
| 839 | for(auto ar_new : _aspect_ratios) |
| 840 | { |
| 841 | if(fabs(ar - ar_new) < 1e-6) |
| 842 | { |
| 843 | already_exist = true; |
| 844 | break; |
| 845 | } |
| 846 | } |
| 847 | if(!already_exist) |
| 848 | { |
| 849 | _aspect_ratios.push_back(ar); |
| 850 | if(flip) |
| 851 | { |
| 852 | _aspect_ratios.push_back(1.f / ar); |
| 853 | } |
| 854 | } |
| 855 | } |
| 856 | } |
| 857 | /** Get min sizes. */ |
| 858 | std::vector<float> min_sizes() const |
| 859 | { |
| 860 | return _min_sizes; |
| 861 | } |
| 862 | /** Get min variances. */ |
| 863 | std::vector<float> variances() const |
| 864 | { |
| 865 | return _variances; |
| 866 | } |
| 867 | /** Get the step coordinates */ |
| 868 | std::array<float, 2> steps() const |
| 869 | { |
| 870 | return _steps; |
| 871 | } |
| 872 | /** Get the image size coordinates */ |
| 873 | Coordinates2D img_size() const |
| 874 | { |
| 875 | return _img_size; |
| 876 | } |
| 877 | /** Get the offset */ |
| 878 | float offset() const |
| 879 | { |
| 880 | return _offset; |
| 881 | } |
| 882 | /** Get the flip value */ |
| 883 | bool flip() const |
| 884 | { |
| 885 | return _flip; |
| 886 | } |
| 887 | /** Get the clip value */ |
| 888 | bool clip() const |
| 889 | { |
| 890 | return _clip; |
| 891 | } |
| 892 | /** Get max sizes. */ |
| 893 | std::vector<float> max_sizes() const |
| 894 | { |
| 895 | return _max_sizes; |
| 896 | } |
| 897 | /** Get aspect ratios. */ |
| 898 | std::vector<float> aspect_ratios() const |
| 899 | { |
| 900 | return _aspect_ratios; |
| 901 | } |
| 902 | |
| 903 | private: |
| 904 | std::vector<float> _min_sizes; |
| 905 | std::vector<float> _variances; |
| 906 | float _offset; |
| 907 | bool _flip; |
| 908 | bool _clip; |
| 909 | std::vector<float> _max_sizes; |
| 910 | std::vector<float> _aspect_ratios; |
| 911 | Coordinates2D _img_size; |
| 912 | std::array<float, 2> _steps; |
| 913 | }; |
| 914 | |
Isabella Gottardi | a7acb3c | 2019-01-08 13:48:44 +0000 | [diff] [blame] | 915 | // Bounding Box [xmin, ymin, xmax, ymax] |
| 916 | using BBox = std::array<float, 4>; |
| 917 | // LabelBBox used for map label and bounding box |
| 918 | using LabelBBox = std::map<int, std::vector<BBox>>; |
| 919 | |
Isabella Gottardi | 05e5644 | 2018-11-16 11:26:52 +0000 | [diff] [blame] | 920 | /** Available Detection Output code types */ |
| 921 | enum class DetectionOutputLayerCodeType |
| 922 | { |
| 923 | CORNER, /**< Use box corners */ |
| 924 | CENTER_SIZE, /**< Use box centers and size */ |
| 925 | CORNER_SIZE, /**< Use box centers and size */ |
| 926 | TF_CENTER /**< Use box centers and size but flip x and y co-ordinates */ |
| 927 | }; |
| 928 | |
| 929 | /** Detection Output layer info */ |
| 930 | class DetectionOutputLayerInfo final |
| 931 | { |
| 932 | public: |
| 933 | /** Default Constructor */ |
| 934 | DetectionOutputLayerInfo() |
| 935 | : _num_classes(), |
| 936 | _share_location(), |
| 937 | _code_type(DetectionOutputLayerCodeType::CORNER), |
| 938 | _keep_top_k(), |
| 939 | _nms_threshold(), |
| 940 | _top_k(), |
| 941 | _background_label_id(), |
| 942 | _confidence_threshold(), |
| 943 | _variance_encoded_in_target(false), |
| 944 | _eta(), |
| 945 | _num_loc_classes() |
| 946 | { |
| 947 | _num_loc_classes = _share_location ? 1 : _num_classes; |
| 948 | } |
| 949 | /** Constructor |
| 950 | * |
| 951 | * @param[in] num_classes Number of classes to be predicted. |
| 952 | * @param[in] share_location If true, bounding box are shared among different classes. |
| 953 | * @param[in] code_type Type of coding method for bbox. |
| 954 | * @param[in] keep_top_k Number of total bounding boxes to be kept per image after NMS step. |
| 955 | * @param[in] nms_threshold Threshold to be used in NMS. |
| 956 | * @param[in] top_k (Optional) Number of boxes per image with top confidence scores that are fed into the NMS algorithm. Default set to -1. |
| 957 | * @param[in] background_label_id (Optional) Background label ID. If there is no background class, set it as -1. |
| 958 | * @param[in] confidence_threshold (Optional) Only consider detections whose confidences are larger than a threshold. Default set to -FLT_MAX. |
| 959 | * @param[in] variance_encoded_in_target (Optional) If true, variance is encoded in target. Otherwise we need to adjust the predicted offset accordingly.Default set to false. |
| 960 | * @param[in] eta (Optional) Eta. |
| 961 | */ |
| 962 | DetectionOutputLayerInfo(int num_classes, bool share_location, DetectionOutputLayerCodeType code_type, int keep_top_k, float nms_threshold, int top_k = -1, int background_label_id = -1, |
| 963 | float confidence_threshold = std::numeric_limits<float>::lowest(), bool variance_encoded_in_target = false, float eta = 1) |
| 964 | : _num_classes(num_classes), |
| 965 | _share_location(share_location), |
| 966 | _code_type(code_type), |
| 967 | _keep_top_k(keep_top_k), |
| 968 | _nms_threshold(nms_threshold), |
| 969 | _top_k(top_k), |
| 970 | _background_label_id(background_label_id), |
| 971 | _confidence_threshold(confidence_threshold), |
| 972 | _variance_encoded_in_target(variance_encoded_in_target), |
| 973 | _eta(eta), |
| 974 | _num_loc_classes() |
| 975 | { |
| 976 | _num_loc_classes = _share_location ? 1 : _num_classes; |
| 977 | } |
| 978 | /** Get num classes. */ |
| 979 | int num_classes() const |
| 980 | { |
| 981 | return _num_classes; |
| 982 | } |
| 983 | /** Get share location. */ |
| 984 | bool share_location() const |
| 985 | { |
| 986 | return _share_location; |
| 987 | } |
| 988 | /** Get detection output code type. */ |
| 989 | DetectionOutputLayerCodeType code_type() const |
| 990 | { |
| 991 | return _code_type; |
| 992 | } |
| 993 | /** Get if variance encoded in target. */ |
| 994 | bool variance_encoded_in_target() const |
| 995 | { |
| 996 | return _variance_encoded_in_target; |
| 997 | } |
| 998 | /** Get the number of total bounding boxes to be kept per image. */ |
| 999 | int keep_top_k() const |
| 1000 | { |
| 1001 | return _keep_top_k; |
| 1002 | } |
| 1003 | /** Get nms threshold. */ |
| 1004 | float nms_threshold() const |
| 1005 | { |
| 1006 | return _nms_threshold; |
| 1007 | } |
| 1008 | /** Get eta. */ |
| 1009 | float eta() const |
| 1010 | { |
| 1011 | return _eta; |
| 1012 | } |
| 1013 | /** Get background label ID. */ |
| 1014 | int background_label_id() const |
| 1015 | { |
| 1016 | return _background_label_id; |
| 1017 | } |
| 1018 | /** Get confidence threshold. */ |
| 1019 | float confidence_threshold() const |
| 1020 | { |
| 1021 | return _confidence_threshold; |
| 1022 | } |
| 1023 | /** Get top K. */ |
| 1024 | int top_k() const |
| 1025 | { |
| 1026 | return _top_k; |
| 1027 | } |
| 1028 | /** Get number of location classes. */ |
| 1029 | int num_loc_classes() const |
| 1030 | { |
| 1031 | return _num_loc_classes; |
| 1032 | } |
| 1033 | |
| 1034 | private: |
| 1035 | int _num_classes; |
| 1036 | bool _share_location; |
| 1037 | DetectionOutputLayerCodeType _code_type; |
| 1038 | int _keep_top_k; |
| 1039 | float _nms_threshold; |
| 1040 | int _top_k; |
| 1041 | int _background_label_id; |
| 1042 | float _confidence_threshold; |
| 1043 | bool _variance_encoded_in_target; |
| 1044 | float _eta; |
| 1045 | int _num_loc_classes; |
| 1046 | }; |
| 1047 | |
Isabella Gottardi | a7acb3c | 2019-01-08 13:48:44 +0000 | [diff] [blame] | 1048 | /** Detection Output layer info */ |
| 1049 | class DetectionPostProcessLayerInfo final |
| 1050 | { |
| 1051 | public: |
| 1052 | /** Default Constructor */ |
| 1053 | DetectionPostProcessLayerInfo() |
| 1054 | : _max_detections(), |
| 1055 | _max_classes_per_detection(), |
| 1056 | _nms_score_threshold(), |
| 1057 | _iou_threshold(), |
| 1058 | _num_classes(), |
| 1059 | _scales_values(), |
| 1060 | _use_regular_nms(), |
Giuseppe Rossini | d985378 | 2019-10-25 11:11:44 +0100 | [diff] [blame] | 1061 | _detection_per_class(), |
| 1062 | _dequantize_scores() |
Isabella Gottardi | a7acb3c | 2019-01-08 13:48:44 +0000 | [diff] [blame] | 1063 | { |
| 1064 | } |
| 1065 | /** Constructor |
| 1066 | * |
| 1067 | * @param[in] max_detections Number of total detection. |
| 1068 | * @param[in] max_classes_per_detection Number of total classes to be kept after NMS step. Used in the Fast Non-Max-Suppression |
| 1069 | * @param[in] nms_score_threshold Threshold to be used in NMS |
| 1070 | * @param[in] iou_threshold Threshold to be used during the intersection over union. |
| 1071 | * @param[in] num_classes Number of classes. |
| 1072 | * @param[in] scales_values Scales values used for decode center size boxes. |
Giuseppe Rossini | d985378 | 2019-10-25 11:11:44 +0100 | [diff] [blame] | 1073 | * @param[in] use_regular_nms (Optional) Boolean to determinate if use regular or fast nms. Defaults to false. |
| 1074 | * @param[in] detection_per_class (Optional) Number of detection per class. Used in the Regular Non-Max-Suppression. Defaults to 100. |
| 1075 | * @param[in] dequantize_scores (Optional) If the scores need to be dequantized. Defaults to true. |
Isabella Gottardi | a7acb3c | 2019-01-08 13:48:44 +0000 | [diff] [blame] | 1076 | */ |
| 1077 | DetectionPostProcessLayerInfo(unsigned int max_detections, unsigned int max_classes_per_detection, float nms_score_threshold, float iou_threshold, unsigned int num_classes, |
Giuseppe Rossini | d985378 | 2019-10-25 11:11:44 +0100 | [diff] [blame] | 1078 | std::array<float, 4> scales_values, bool use_regular_nms = false, unsigned int detection_per_class = 100, bool dequantize_scores = true) |
Isabella Gottardi | a7acb3c | 2019-01-08 13:48:44 +0000 | [diff] [blame] | 1079 | : _max_detections(max_detections), |
| 1080 | _max_classes_per_detection(max_classes_per_detection), |
| 1081 | _nms_score_threshold(nms_score_threshold), |
| 1082 | _iou_threshold(iou_threshold), |
| 1083 | _num_classes(num_classes), |
| 1084 | _scales_values(scales_values), |
| 1085 | _use_regular_nms(use_regular_nms), |
Giuseppe Rossini | d985378 | 2019-10-25 11:11:44 +0100 | [diff] [blame] | 1086 | _detection_per_class(detection_per_class), |
| 1087 | _dequantize_scores(dequantize_scores) |
Isabella Gottardi | a7acb3c | 2019-01-08 13:48:44 +0000 | [diff] [blame] | 1088 | { |
| 1089 | } |
| 1090 | /** Get max detections. */ |
| 1091 | unsigned int max_detections() const |
| 1092 | { |
| 1093 | return _max_detections; |
| 1094 | } |
| 1095 | /** Get max_classes per detection. Used in the Fast Non-Max-Suppression.*/ |
| 1096 | unsigned int max_classes_per_detection() const |
| 1097 | { |
| 1098 | return _max_classes_per_detection; |
| 1099 | } |
| 1100 | /** Get detection per class. Used in the Regular Non-Max-Suppression */ |
| 1101 | unsigned int detection_per_class() const |
| 1102 | { |
| 1103 | return _detection_per_class; |
| 1104 | } |
| 1105 | /** Get nms threshold. */ |
| 1106 | float nms_score_threshold() const |
| 1107 | { |
| 1108 | return _nms_score_threshold; |
| 1109 | } |
| 1110 | /** Get intersection over union threshold. */ |
| 1111 | float iou_threshold() const |
| 1112 | { |
| 1113 | return _iou_threshold; |
| 1114 | } |
| 1115 | /** Get num classes. */ |
| 1116 | unsigned int num_classes() const |
| 1117 | { |
| 1118 | return _num_classes; |
| 1119 | } |
| 1120 | /** Get if use regular nms. */ |
| 1121 | bool use_regular_nms() const |
| 1122 | { |
| 1123 | return _use_regular_nms; |
| 1124 | } |
| 1125 | /** Get y scale value. */ |
| 1126 | float scale_value_y() const |
| 1127 | { |
| 1128 | // Saved as [y,x,h,w] |
| 1129 | return _scales_values[0]; |
| 1130 | } |
| 1131 | /** Get x scale value. */ |
| 1132 | float scale_value_x() const |
| 1133 | { |
| 1134 | // Saved as [y,x,h,w] |
| 1135 | return _scales_values[1]; |
| 1136 | } |
| 1137 | /** Get h scale value. */ |
| 1138 | float scale_value_h() const |
| 1139 | { |
| 1140 | // Saved as [y,x,h,w] |
| 1141 | return _scales_values[2]; |
| 1142 | } |
| 1143 | /** Get w scale value. */ |
| 1144 | float scale_value_w() const |
| 1145 | { |
| 1146 | // Saved as [y,x,h,w] |
| 1147 | return _scales_values[3]; |
| 1148 | } |
Giuseppe Rossini | d985378 | 2019-10-25 11:11:44 +0100 | [diff] [blame] | 1149 | /** Get dequantize_scores value. */ |
| 1150 | bool dequantize_scores() const |
| 1151 | { |
| 1152 | return _dequantize_scores; |
| 1153 | } |
Isabella Gottardi | a7acb3c | 2019-01-08 13:48:44 +0000 | [diff] [blame] | 1154 | |
| 1155 | private: |
| 1156 | unsigned int _max_detections; |
| 1157 | unsigned int _max_classes_per_detection; |
| 1158 | float _nms_score_threshold; |
| 1159 | float _iou_threshold; |
| 1160 | unsigned int _num_classes; |
| 1161 | std::array<float, 4> _scales_values; |
| 1162 | bool _use_regular_nms; |
| 1163 | unsigned int _detection_per_class; |
Giuseppe Rossini | d985378 | 2019-10-25 11:11:44 +0100 | [diff] [blame] | 1164 | bool _dequantize_scores; |
Isabella Gottardi | a7acb3c | 2019-01-08 13:48:44 +0000 | [diff] [blame] | 1165 | }; |
| 1166 | |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 1167 | /** Pooling Layer Information struct*/ |
| 1168 | struct PoolingLayerInfo |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1169 | { |
Georgios Pinitas | 4c2dd54 | 2017-11-13 12:58:41 +0000 | [diff] [blame] | 1170 | /** Default Constructor */ |
| 1171 | PoolingLayerInfo() |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1172 | : pool_type(PoolingType::MAX), |
| 1173 | pool_size(Size2D()), |
| 1174 | data_layout(DataLayout::UNKNOWN), |
| 1175 | pad_stride_info(PadStrideInfo()), |
| 1176 | exclude_padding(false), |
| 1177 | is_global_pooling(false), |
| 1178 | fp_mixed_precision(false) |
Georgios Pinitas | 4c2dd54 | 2017-11-13 12:58:41 +0000 | [diff] [blame] | 1179 | { |
| 1180 | } |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1181 | /** Constructor |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1182 | * |
Sang-Hoon Park | 2aa7fd0 | 2019-09-18 13:39:00 +0100 | [diff] [blame] | 1183 | * @param[in] pool_type Pooling type @ref PoolingType. |
| 1184 | * @param[in] pool_size Pooling size, in elements, across x and y. |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1185 | * @param[in] data_layout Data layout used by the layer @ref DataLayout |
| 1186 | * @param[in] pad_stride_info (Optional) Padding and stride information @ref PadStrideInfo |
| 1187 | * @param[in] exclude_padding (Optional) Strategy when accounting padding in calculations. |
| 1188 | * True will exclude padding while false will not (Used in AVG/L2 pooling to determine the pooling area). |
| 1189 | * Defaults to false; |
| 1190 | * @param[in] fp_mixed_precision (Optional) Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. |
| 1191 | */ |
Georgios Pinitas | 4c2dd54 | 2017-11-13 12:58:41 +0000 | [diff] [blame] | 1192 | explicit PoolingLayerInfo(PoolingType pool_type, |
| 1193 | unsigned int pool_size, |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1194 | DataLayout data_layout, |
Sang-Hoon Park | 2aa7fd0 | 2019-09-18 13:39:00 +0100 | [diff] [blame] | 1195 | PadStrideInfo pad_stride_info = PadStrideInfo(), |
| 1196 | bool exclude_padding = false, |
| 1197 | bool fp_mixed_precision = false) |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1198 | : pool_type(pool_type), |
| 1199 | pool_size(Size2D(pool_size, pool_size)), |
| 1200 | data_layout(data_layout), |
| 1201 | pad_stride_info(pad_stride_info), |
| 1202 | exclude_padding(exclude_padding), |
| 1203 | is_global_pooling(false), |
| 1204 | fp_mixed_precision(fp_mixed_precision) |
Isabella Gottardi | 6e464c3 | 2018-01-26 12:32:45 +0000 | [diff] [blame] | 1205 | { |
| 1206 | } |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1207 | |
| 1208 | /** Constructor |
Isabella Gottardi | 6e464c3 | 2018-01-26 12:32:45 +0000 | [diff] [blame] | 1209 | * |
Sang-Hoon Park | 2aa7fd0 | 2019-09-18 13:39:00 +0100 | [diff] [blame] | 1210 | * @param[in] pool_type Pooling type @ref PoolingType. |
| 1211 | * @param[in] pool_size Pooling size, in elements, across x and y. |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1212 | * @param[in] data_layout Data layout used by the layer @ref DataLayout |
Sang-Hoon Park | 2aa7fd0 | 2019-09-18 13:39:00 +0100 | [diff] [blame] | 1213 | * @param[in] pad_stride_info (Optional) Padding and stride information @ref PadStrideInfo |
| 1214 | * @param[in] exclude_padding (Optional) Strategy when accounting padding in calculations. |
| 1215 | * True will exclude padding while false will not (Used in AVG/L2 pooling to determine the pooling area). |
| 1216 | * Defaults to false; |
| 1217 | * @param[in] fp_mixed_precision (Optional) Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. |
Isabella Gottardi | 6e464c3 | 2018-01-26 12:32:45 +0000 | [diff] [blame] | 1218 | */ |
| 1219 | explicit PoolingLayerInfo(PoolingType pool_type, |
| 1220 | Size2D pool_size, |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1221 | DataLayout data_layout, |
Sang-Hoon Park | 2aa7fd0 | 2019-09-18 13:39:00 +0100 | [diff] [blame] | 1222 | PadStrideInfo pad_stride_info = PadStrideInfo(), |
| 1223 | bool exclude_padding = false, |
| 1224 | bool fp_mixed_precision = false) |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1225 | : pool_type(pool_type), |
| 1226 | pool_size(pool_size), |
| 1227 | data_layout(data_layout), |
| 1228 | pad_stride_info(pad_stride_info), |
| 1229 | exclude_padding(exclude_padding), |
| 1230 | is_global_pooling(false), |
| 1231 | fp_mixed_precision(fp_mixed_precision) |
Georgios Pinitas | 4c2dd54 | 2017-11-13 12:58:41 +0000 | [diff] [blame] | 1232 | { |
| 1233 | } |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1234 | |
| 1235 | /** Constructor |
Georgios Pinitas | 4c2dd54 | 2017-11-13 12:58:41 +0000 | [diff] [blame] | 1236 | * |
| 1237 | * @note This constructor is used for global pooling |
| 1238 | * |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1239 | * @param[in] pool_type Pooling type @ref PoolingType. |
| 1240 | * @param[in] data_layout Data layout used by the layer @ref DataLayout |
Georgios Pinitas | 4c2dd54 | 2017-11-13 12:58:41 +0000 | [diff] [blame] | 1241 | */ |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1242 | explicit PoolingLayerInfo(PoolingType pool_type, DataLayout data_layout) |
| 1243 | : pool_type(pool_type), |
| 1244 | pool_size(Size2D()), |
| 1245 | data_layout(data_layout), |
| 1246 | pad_stride_info(PadStrideInfo(1, 1, 0, 0)), |
| 1247 | exclude_padding(false), |
| 1248 | is_global_pooling(true), |
| 1249 | fp_mixed_precision(false) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1250 | { |
| 1251 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1252 | |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 1253 | PoolingType pool_type; |
| 1254 | Size2D pool_size; |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 1255 | DataLayout data_layout; |
Sang-Hoon Park | 0cb3da6 | 2020-01-15 12:39:56 +0000 | [diff] [blame] | 1256 | PadStrideInfo pad_stride_info; |
| 1257 | bool exclude_padding; |
| 1258 | bool is_global_pooling; |
| 1259 | bool fp_mixed_precision; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1260 | }; |
| 1261 | |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 1262 | /** ROI Pooling Layer Information class */ |
giuros01 | 1887081 | 2018-09-13 09:31:40 +0100 | [diff] [blame] | 1263 | class ROIPoolingLayerInfo final |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 1264 | { |
| 1265 | public: |
giuros01 | 1887081 | 2018-09-13 09:31:40 +0100 | [diff] [blame] | 1266 | /** Constructor |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 1267 | * |
giuros01 | 1887081 | 2018-09-13 09:31:40 +0100 | [diff] [blame] | 1268 | * @param[in] pooled_width Pooled width of the layer. |
| 1269 | * @param[in] pooled_height Pooled height of the layer. |
| 1270 | * @param[in] spatial_scale Spatial scale to be applied to the ROI coordinates and dimensions. |
| 1271 | * @param[in] sampling_ratio Number of samples to include in each pooling region (if set to zero, a ceil(roi_dims/pooling_dims)) |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 1272 | */ |
giuros01 | 1887081 | 2018-09-13 09:31:40 +0100 | [diff] [blame] | 1273 | ROIPoolingLayerInfo(unsigned int pooled_width, unsigned int pooled_height, float spatial_scale, unsigned int sampling_ratio = 0) |
| 1274 | : _pooled_width(pooled_width), _pooled_height(pooled_height), _spatial_scale(spatial_scale), _sampling_ratio(sampling_ratio) |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 1275 | { |
| 1276 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1277 | /** Get the pooled width of the layer */ |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 1278 | unsigned int pooled_width() const |
| 1279 | { |
| 1280 | return _pooled_width; |
| 1281 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1282 | /** Get the pooled height of the layer */ |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 1283 | unsigned int pooled_height() const |
| 1284 | { |
| 1285 | return _pooled_height; |
| 1286 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1287 | /** Get the spatial scale */ |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 1288 | float spatial_scale() const |
| 1289 | { |
| 1290 | return _spatial_scale; |
| 1291 | } |
giuros01 | 1887081 | 2018-09-13 09:31:40 +0100 | [diff] [blame] | 1292 | /** Get sampling ratio */ |
| 1293 | unsigned int sampling_ratio() const |
| 1294 | { |
| 1295 | return _sampling_ratio; |
| 1296 | } |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 1297 | |
| 1298 | private: |
| 1299 | unsigned int _pooled_width; |
| 1300 | unsigned int _pooled_height; |
| 1301 | float _spatial_scale; |
giuros01 | 1887081 | 2018-09-13 09:31:40 +0100 | [diff] [blame] | 1302 | unsigned int _sampling_ratio; |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 1303 | }; |
| 1304 | |
Manuel Bottini | 5209be5 | 2019-02-13 16:34:56 +0000 | [diff] [blame] | 1305 | /** Generate Proposals Information class */ |
| 1306 | class GenerateProposalsInfo |
| 1307 | { |
| 1308 | public: |
| 1309 | /** Constructor |
| 1310 | * |
| 1311 | * @param[in] im_width Width of the original image |
| 1312 | * @param[in] im_height Height of the original image |
| 1313 | * @param[in] im_scale Scale applied to the original image |
| 1314 | * @param[in] spatial_scale (Optional)Scale applied to the feature map. Defaults to 1.0 |
| 1315 | * @param[in] pre_nms_topN (Optional)Number of the best scores to be selected from the transformations. Defaults to 6000. |
| 1316 | * @param[in] post_nms_topN (Optional)Number of the best scores to be selected from the NMS operation. Defaults to 300. |
| 1317 | * @param[in] nms_thres (Optional)NMS overlap threshold. Defaults to 0.7. |
| 1318 | * @param[in] min_size (Optional)Size used to validate the anchors produced. Defaults to 16. |
| 1319 | * @param[in] values_per_roi (Optional)Values used to represent a ROI(Region of interest). Defaults to 4. |
| 1320 | */ |
| 1321 | GenerateProposalsInfo(float im_width, float im_height, float im_scale, float spatial_scale = 1.0, int pre_nms_topN = 6000, int post_nms_topN = 300, float nms_thres = 0.7, float min_size = 16.0, |
| 1322 | size_t values_per_roi = 4) |
| 1323 | : _im_height(im_height), _im_width(im_width), _im_scale(im_scale), _spatial_scale(spatial_scale), _pre_nms_topN(pre_nms_topN), _post_nms_topN(post_nms_topN), _nms_thres(nms_thres), |
| 1324 | _min_size(min_size), _values_per_roi(values_per_roi) |
| 1325 | { |
| 1326 | } |
| 1327 | |
| 1328 | /* Get the original height */ |
| 1329 | float im_height() const |
| 1330 | { |
| 1331 | return _im_height; |
| 1332 | } |
| 1333 | /* Get the original width */ |
| 1334 | float im_width() const |
| 1335 | { |
| 1336 | return _im_width; |
| 1337 | } |
| 1338 | /* Get the image scale */ |
| 1339 | float im_scale() const |
| 1340 | { |
| 1341 | return _im_scale; |
| 1342 | } |
| 1343 | /* Get the value of how many best scores to select (before NMS) */ |
| 1344 | int pre_nms_topN() const |
| 1345 | { |
| 1346 | return _pre_nms_topN; |
| 1347 | } |
| 1348 | /* Get the value of how many best scores to select (after NMS) */ |
| 1349 | int post_nms_topN() const |
| 1350 | { |
| 1351 | return _post_nms_topN; |
| 1352 | } |
| 1353 | /* Get the NMS overlap threshold */ |
| 1354 | float nms_thres() const |
| 1355 | { |
| 1356 | return _nms_thres; |
| 1357 | } |
| 1358 | /* Get the minimal size */ |
| 1359 | float min_size() const |
| 1360 | { |
| 1361 | return _min_size; |
| 1362 | } |
| 1363 | /* Get the spatial scale to be applied to the feature maps */ |
| 1364 | float spatial_scale() const |
| 1365 | { |
| 1366 | return _spatial_scale; |
| 1367 | } |
| 1368 | /* Get the values used to represent a ROI(Region of interest)*/ |
| 1369 | size_t values_per_roi() const |
| 1370 | { |
| 1371 | return _values_per_roi; |
| 1372 | } |
| 1373 | |
| 1374 | private: |
| 1375 | float _im_height; |
| 1376 | float _im_width; |
| 1377 | float _im_scale; |
| 1378 | float _spatial_scale; |
| 1379 | int _pre_nms_topN; |
| 1380 | int _post_nms_topN; |
| 1381 | float _nms_thres; |
| 1382 | float _min_size; |
| 1383 | size_t _values_per_roi; |
| 1384 | }; |
| 1385 | |
| 1386 | /** ComputeAnchors information class */ |
| 1387 | class ComputeAnchorsInfo |
| 1388 | { |
| 1389 | public: |
| 1390 | /** Constructor |
| 1391 | * |
| 1392 | * @param[in] feat_width Feature map width |
| 1393 | * @param[in] feat_height Feature map height |
| 1394 | * @param[in] spatial_scale Feature map scale |
| 1395 | * @param[in] values_per_roi (Optional)Values used to represent a ROI(Region Of Interest). Defaults to 4 |
| 1396 | */ |
| 1397 | ComputeAnchorsInfo(float feat_width, float feat_height, float spatial_scale, size_t values_per_roi = 4) |
| 1398 | : _feat_height(feat_height), |
| 1399 | _feat_width(feat_width), |
| 1400 | _spatial_scale(spatial_scale), |
| 1401 | _values_per_roi(values_per_roi) |
| 1402 | { |
| 1403 | } |
| 1404 | |
| 1405 | /* Get the height of the feature map */ |
| 1406 | float feat_height() const |
| 1407 | { |
| 1408 | return _feat_height; |
| 1409 | } |
| 1410 | |
| 1411 | /* Get the width of the feature map */ |
| 1412 | float feat_width() const |
| 1413 | { |
| 1414 | return _feat_width; |
| 1415 | } |
| 1416 | |
| 1417 | /* Get the scale of the feature map */ |
| 1418 | float spatial_scale() const |
| 1419 | { |
| 1420 | return _spatial_scale; |
| 1421 | } |
| 1422 | |
| 1423 | /* Get the values used to represent a ROI(Region Of Interest)*/ |
| 1424 | size_t values_per_roi() const |
| 1425 | { |
| 1426 | return _values_per_roi; |
| 1427 | } |
| 1428 | |
| 1429 | private: |
| 1430 | float _feat_height; |
| 1431 | float _feat_width; |
| 1432 | float _spatial_scale; |
| 1433 | size_t _values_per_roi; |
| 1434 | }; |
| 1435 | |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 1436 | /** Bounding Box Transform information class */ |
giuros01 | d696cb6 | 2018-11-16 10:39:59 +0000 | [diff] [blame] | 1437 | class BoundingBoxTransformInfo final |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 1438 | { |
| 1439 | public: |
| 1440 | /** Constructor |
| 1441 | * |
giuros01 | d696cb6 | 2018-11-16 10:39:59 +0000 | [diff] [blame] | 1442 | * @param[in] img_width Width of the original image |
| 1443 | * @param[in] img_height Height, of the original image |
| 1444 | * @param[in] scale Scale of the original image |
| 1445 | * @param[in] apply_scale (Optional)Re-apply scaling after transforming the boxes. Defaults to false |
| 1446 | * @param[in] weights (Optional)Weights [wx, wy, ww, wh] for the deltas. Defaults to all ones |
| 1447 | * @param[in] correct_transform_coords (Optional)Correct bounding box transform coordinates. Defaults to false |
| 1448 | * @param[in] bbox_xform_clip (Optional)Minimum bounding box width and height after bounding box transformation in log-space. Defaults to log(1000/16) |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 1449 | */ |
giuros01 | d696cb6 | 2018-11-16 10:39:59 +0000 | [diff] [blame] | 1450 | BoundingBoxTransformInfo(float img_width, float img_height, float scale, bool apply_scale = false, const std::array<float, 4> weights = { { 1.f, 1.f, 1.f, 1.f } }, bool correct_transform_coords = |
| 1451 | false, |
| 1452 | float bbox_xform_clip = |
| 1453 | 4.135166556742356f) |
| 1454 | : _img_width(img_width), _img_height(img_height), _scale(scale), _apply_scale(apply_scale), _correct_transform_coords(correct_transform_coords), _weights(weights), _bbox_xform_clip(bbox_xform_clip) |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 1455 | { |
| 1456 | } |
| 1457 | |
| 1458 | std::array<float, 4> weights() const |
| 1459 | { |
| 1460 | return _weights; |
| 1461 | } |
| 1462 | |
| 1463 | float bbox_xform_clip() const |
| 1464 | { |
| 1465 | return _bbox_xform_clip; |
| 1466 | } |
| 1467 | |
| 1468 | float img_height() const |
| 1469 | { |
| 1470 | return _img_height; |
| 1471 | } |
| 1472 | |
| 1473 | float img_width() const |
| 1474 | { |
| 1475 | return _img_width; |
| 1476 | } |
| 1477 | |
| 1478 | float scale() const |
| 1479 | { |
| 1480 | return _scale; |
| 1481 | } |
| 1482 | |
| 1483 | bool apply_scale() const |
| 1484 | { |
| 1485 | return _apply_scale; |
| 1486 | } |
| 1487 | |
giuros01 | d696cb6 | 2018-11-16 10:39:59 +0000 | [diff] [blame] | 1488 | bool correct_transform_coords() const |
| 1489 | { |
| 1490 | return _correct_transform_coords; |
| 1491 | } |
| 1492 | |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 1493 | private: |
| 1494 | float _img_width; |
| 1495 | float _img_height; |
| 1496 | float _scale; |
| 1497 | bool _apply_scale; |
giuros01 | d696cb6 | 2018-11-16 10:39:59 +0000 | [diff] [blame] | 1498 | bool _correct_transform_coords; |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 1499 | std::array<float, 4> _weights; |
| 1500 | float _bbox_xform_clip; |
| 1501 | }; |
| 1502 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1503 | /** Activation Layer Information class */ |
| 1504 | class ActivationLayerInfo |
| 1505 | { |
| 1506 | public: |
| 1507 | /** Available activation functions */ |
| 1508 | enum class ActivationFunction |
| 1509 | { |
Georgios Pinitas | 64ebe5b | 2017-09-01 17:44:24 +0100 | [diff] [blame] | 1510 | LOGISTIC, /**< Logistic ( \f$ f(x) = \frac{1}{1 + e^{-x}} \f$ ) */ |
| 1511 | TANH, /**< Hyperbolic tangent ( \f$ f(x) = a \cdot tanh(b \cdot x) \f$ ) */ |
| 1512 | RELU, /**< Rectifier ( \f$ f(x) = max(0,x) \f$ ) */ |
| 1513 | BOUNDED_RELU, /**< Upper Bounded Rectifier ( \f$ f(x) = min(a, max(0,x)) \f$ ) */ |
| 1514 | LU_BOUNDED_RELU, /**< Lower and Upper Bounded Rectifier ( \f$ f(x) = min(a, max(b,x)) \f$ ) */ |
Manuel Bottini | 581c898 | 2019-02-07 10:31:57 +0000 | [diff] [blame] | 1515 | LEAKY_RELU, /**< Leaky Rectifier ( \f$ f(x) = \begin{cases} \alpha x & \quad \text{if } x \text{ < 0}\\ x & \quad \text{if } x \geq \text{ 0 } \end{cases} \f$ ) */ |
Georgios Pinitas | 64ebe5b | 2017-09-01 17:44:24 +0100 | [diff] [blame] | 1516 | SOFT_RELU, /**< Soft Rectifier ( \f$ f(x)= log(1+e^x) \f$ ) */ |
Georgios Pinitas | fb0fdcd | 2019-08-22 17:10:04 +0100 | [diff] [blame] | 1517 | ELU, /**< Exponential Linear Unit ( \f$ f(x) = \begin{cases} \alpha (exp(x) - 1) & \quad \text{if } x \text{ < 0}\\ x & \quad \text{if } x \geq \text{ 0 } \end{cases} \f$ ) */ |
Georgios Pinitas | 64ebe5b | 2017-09-01 17:44:24 +0100 | [diff] [blame] | 1518 | ABS, /**< Absolute ( \f$ f(x)= |x| \f$ ) */ |
| 1519 | SQUARE, /**< Square ( \f$ f(x)= x^2 \f$ )*/ |
| 1520 | SQRT, /**< Square root ( \f$ f(x) = \sqrt{x} \f$ )*/ |
Usama Arif | 6a98a6e | 2019-05-10 17:07:27 +0100 | [diff] [blame] | 1521 | LINEAR, /**< Linear ( \f$ f(x)= ax + b \f$ ) */ |
morgolock | 07df3d4 | 2020-02-27 11:46:28 +0000 | [diff] [blame] | 1522 | IDENTITY, /**< Identity ( \f$ f(x)= x \f$ ) */ |
| 1523 | HARD_SWISH /**< Hard-swish ( \f$ f(x) = (x * relu6(x+3))/6 \f$ ) */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1524 | }; |
| 1525 | |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 1526 | ActivationLayerInfo() = default; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1527 | /** Default Constructor |
| 1528 | * |
| 1529 | * @param[in] f The activation function to use. |
| 1530 | * @param[in] a (Optional) The alpha parameter used by some activation functions |
Georgios Pinitas | 64ebe5b | 2017-09-01 17:44:24 +0100 | [diff] [blame] | 1531 | * (@ref ActivationFunction::BOUNDED_RELU, @ref ActivationFunction::LU_BOUNDED_RELU, @ref ActivationFunction::LINEAR, @ref ActivationFunction::TANH). |
| 1532 | * @param[in] b (Optional) The beta parameter used by some activation functions (@ref ActivationFunction::LINEAR, @ref ActivationFunction::LU_BOUNDED_RELU, @ref ActivationFunction::TANH). |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1533 | */ |
| 1534 | ActivationLayerInfo(ActivationFunction f, float a = 0.0f, float b = 0.0f) |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 1535 | : _act(f), _a(a), _b(b), _enabled(true) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1536 | { |
| 1537 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1538 | /** Get the type of activation function */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1539 | ActivationFunction activation() const |
| 1540 | { |
| 1541 | return _act; |
| 1542 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1543 | /** Get the alpha value */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1544 | float a() const |
| 1545 | { |
| 1546 | return _a; |
| 1547 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1548 | /** Get the beta value */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1549 | float b() const |
| 1550 | { |
| 1551 | return _b; |
| 1552 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1553 | /** Check if initialised */ |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 1554 | bool enabled() const |
| 1555 | { |
| 1556 | return _enabled; |
| 1557 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1558 | |
| 1559 | private: |
Usama Arif | 6a98a6e | 2019-05-10 17:07:27 +0100 | [diff] [blame] | 1560 | ActivationFunction _act = { ActivationLayerInfo::ActivationFunction::IDENTITY }; |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 1561 | float _a = {}; |
| 1562 | float _b = {}; |
| 1563 | bool _enabled = { false }; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1564 | }; |
| 1565 | |
Giorgio Arena | 1856ff7 | 2020-02-07 13:46:45 +0000 | [diff] [blame] | 1566 | /** Fully connected layer info */ |
| 1567 | struct FullyConnectedLayerInfo |
| 1568 | { |
Michele Di Giorgio | c3f459d | 2021-05-05 15:42:20 +0100 | [diff] [blame] | 1569 | /* Fused-activation parameters */ |
| 1570 | ActivationLayerInfo activation_info{}; /**< Fused activation to apply after the matrix multiplication. */ |
| 1571 | /* Information about weights */ |
| 1572 | DataLayout weights_trained_layout{ DataLayout::NCHW }; /**< Layout that the weights have been trained with. */ |
| 1573 | bool transpose_weights{ true }; /**< Transpose weights if true. */ |
| 1574 | bool are_weights_reshaped{ false }; /**< Reshape the weights tensor if false. */ |
| 1575 | bool retain_internal_weights{ false }; /**< Retain internal reshaped weights. */ |
Michele Di Giorgio | c3f459d | 2021-05-05 15:42:20 +0100 | [diff] [blame] | 1576 | /* Other parameters */ |
| 1577 | bool fp_mixed_precision{ false }; /**< Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. */ |
Giorgio Arena | 1856ff7 | 2020-02-07 13:46:45 +0000 | [diff] [blame] | 1578 | |
| 1579 | /** Sets the weights trained data layout |
| 1580 | * |
| 1581 | * @param[in] layout Data layout that the weights were trained with |
| 1582 | * |
| 1583 | * @return Updated object |
| 1584 | */ |
| 1585 | FullyConnectedLayerInfo &set_weights_trained_layout(DataLayout layout) |
| 1586 | { |
| 1587 | weights_trained_layout = layout; |
| 1588 | return *this; |
| 1589 | } |
| 1590 | /** Sets the transpose weights flag |
| 1591 | * |
| 1592 | * @param[in] should_transpose_weights Boolean flag indicating if weights should be transposed |
| 1593 | * |
| 1594 | * @return Updated object |
| 1595 | */ |
| 1596 | FullyConnectedLayerInfo &set_transpose_weights(bool should_transpose_weights) |
| 1597 | { |
| 1598 | transpose_weights = should_transpose_weights; |
| 1599 | return *this; |
| 1600 | } |
| 1601 | }; |
| 1602 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1603 | /** Normalization Layer Information class */ |
| 1604 | class NormalizationLayerInfo |
| 1605 | { |
| 1606 | public: |
| 1607 | /** Default Constructor |
| 1608 | * |
Michele Di Giorgio | 9d3a831 | 2018-11-20 12:31:24 +0000 | [diff] [blame] | 1609 | * @param[in] type The normalization type. Can be @ref NormType::IN_MAP_1D, @ref NormType::IN_MAP_2D or @ref NormType::CROSS_MAP |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1610 | * @param[in] norm_size The normalization size is the number of elements to normalize across. Defaults to 5. |
Georgios Pinitas | 41caa62 | 2017-11-16 14:37:08 +0000 | [diff] [blame] | 1611 | * @param[in] alpha (Optional) Alpha parameter used by normalization equation. Defaults to 0.0001. |
| 1612 | * @param[in] beta (Optional) Beta parameter used by normalization equation. Defaults to 0.5. |
| 1613 | * @param[in] kappa (Optional) Kappa parameter used by [Krichevksy 2012] Across Channel Local Brightness Normalization equation. |
| 1614 | * @param[in] is_scaled (Optional) Boolean that specifies if alpha will be scaled by the normalization size or not. |
| 1615 | * Should be false to follow [Krichevksy 2012]. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1616 | */ |
Georgios Pinitas | 41caa62 | 2017-11-16 14:37:08 +0000 | [diff] [blame] | 1617 | NormalizationLayerInfo(NormType type, uint32_t norm_size = 5, float alpha = 0.0001f, float beta = 0.5f, float kappa = 1.f, bool is_scaled = true) |
| 1618 | : _type(type), _norm_size(norm_size), _alpha(alpha), _beta(beta), _kappa(kappa), _is_scaled(is_scaled) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1619 | { |
| 1620 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1621 | /** Get the normalization type */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1622 | NormType type() const |
| 1623 | { |
| 1624 | return _type; |
| 1625 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1626 | /** Get the normalization size */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1627 | uint32_t norm_size() const |
| 1628 | { |
| 1629 | return _norm_size; |
| 1630 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1631 | /** Get the alpha value */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1632 | float alpha() const |
| 1633 | { |
| 1634 | return _alpha; |
| 1635 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1636 | /** Get the beta value */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1637 | float beta() const |
| 1638 | { |
| 1639 | return _beta; |
| 1640 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1641 | /** Get the kappa value */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1642 | float kappa() const |
| 1643 | { |
| 1644 | return _kappa; |
| 1645 | } |
Michele Di Giorgio | 9d3a831 | 2018-11-20 12:31:24 +0000 | [diff] [blame] | 1646 | /** Get the is_scaled value */ |
| 1647 | bool is_scaled() const |
| 1648 | { |
| 1649 | return _is_scaled; |
| 1650 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1651 | /** Check if normalization is cross map */ |
Georgios Pinitas | 41caa62 | 2017-11-16 14:37:08 +0000 | [diff] [blame] | 1652 | bool is_cross_map() const |
| 1653 | { |
| 1654 | return _type == NormType::CROSS_MAP; |
| 1655 | } |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 1656 | /** Check if normalization is not cross map */ |
Georgios Pinitas | 41caa62 | 2017-11-16 14:37:08 +0000 | [diff] [blame] | 1657 | bool is_in_map() const |
| 1658 | { |
| 1659 | return !is_cross_map(); |
| 1660 | } |
| 1661 | /** Return the scaling factor of the normalization function. |
| 1662 | * |
| 1663 | * If is_scaled is set to false then [Krichevksy 2012] normalization scaling is performed, |
| 1664 | * where alpha is returned plainly, else alpha is scaled by the total number of elements used for the normalization. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1665 | * |
| 1666 | * @return The normalization scaling factor. |
| 1667 | */ |
| 1668 | float scale_coeff() const |
| 1669 | { |
| 1670 | const uint32_t size = (_type == NormType::IN_MAP_2D) ? _norm_size * _norm_size : _norm_size; |
Georgios Pinitas | 41caa62 | 2017-11-16 14:37:08 +0000 | [diff] [blame] | 1671 | return (_is_scaled) ? (_alpha / size) : _alpha; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1672 | } |
| 1673 | |
| 1674 | private: |
| 1675 | NormType _type; |
| 1676 | uint32_t _norm_size; |
| 1677 | float _alpha; |
| 1678 | float _beta; |
| 1679 | float _kappa; |
Georgios Pinitas | 41caa62 | 2017-11-16 14:37:08 +0000 | [diff] [blame] | 1680 | bool _is_scaled; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1681 | }; |
| 1682 | |
thecha01 | 2bfadd9 | 2020-08-12 17:25:51 +0100 | [diff] [blame] | 1683 | class StridedSliceLayerInfo |
| 1684 | { |
| 1685 | public: |
| 1686 | /** Default Constructor |
| 1687 | * |
| 1688 | * @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead. |
| 1689 | * @param[in] end_mask (Optional) If the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead. |
| 1690 | * @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1. |
| 1691 | */ |
| 1692 | StridedSliceLayerInfo(int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0) |
| 1693 | : _begin_mask(begin_mask), _end_mask(end_mask), _shrink_axis_mask(shrink_axis_mask) |
| 1694 | { |
| 1695 | } |
| 1696 | |
| 1697 | /* Get the begin mask value */ |
| 1698 | int32_t begin_mask() const |
| 1699 | { |
| 1700 | return _begin_mask; |
| 1701 | } |
| 1702 | |
| 1703 | /* Get the end mask value */ |
| 1704 | int32_t end_mask() const |
| 1705 | { |
| 1706 | return _end_mask; |
| 1707 | } |
| 1708 | |
| 1709 | /* Get the shrink axis mask value */ |
| 1710 | int32_t shrink_axis_mask() const |
| 1711 | { |
| 1712 | return _shrink_axis_mask; |
| 1713 | } |
| 1714 | |
| 1715 | private: |
| 1716 | int32_t _begin_mask; |
| 1717 | int32_t _end_mask; |
| 1718 | int32_t _shrink_axis_mask; |
| 1719 | }; |
| 1720 | |
Gian Marco Iodice | 559d771 | 2017-08-08 08:38:09 +0100 | [diff] [blame] | 1721 | /** Convolution Layer Weights Information class. This class stores the necessary information to compute convolution layer when the weights are already reshaped */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1722 | class WeightsInfo |
| 1723 | { |
| 1724 | public: |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 1725 | /** Default constructor */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1726 | WeightsInfo() |
Michele Di Giorgio | b62280a | 2018-05-31 17:31:05 +0100 | [diff] [blame] | 1727 | : _are_reshaped(false), _kernel_width(0), _kernel_height(0), _num_kernels(0), _retain_internal_weights(false) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1728 | { |
| 1729 | } |
| 1730 | /** Constructor |
| 1731 | * |
Michele Di Giorgio | b62280a | 2018-05-31 17:31:05 +0100 | [diff] [blame] | 1732 | * @param[in] are_reshaped True if the weights have been reshaped |
| 1733 | * @param[in] kernel_width Kernel width. |
| 1734 | * @param[in] kernel_height Kernel height. |
| 1735 | * @param[in] num_kernels Number of convolution kernels. |
| 1736 | * @param[in] retain_internal_weights (Optional) True if internal reshaped weights must be retained. Used for reconfiguration purposes. Default is false. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1737 | */ |
Michele Di Giorgio | b62280a | 2018-05-31 17:31:05 +0100 | [diff] [blame] | 1738 | WeightsInfo(bool are_reshaped, unsigned int kernel_width, unsigned int kernel_height, unsigned int num_kernels, bool retain_internal_weights = false) |
| 1739 | : _are_reshaped(are_reshaped), _kernel_width(kernel_width), _kernel_height(kernel_height), _num_kernels(num_kernels), _retain_internal_weights(retain_internal_weights) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1740 | { |
| 1741 | } |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 1742 | /** Flag which specifies if the weights tensor has been reshaped. |
| 1743 | * |
| 1744 | * @return True if the weights tensors has been reshaped |
| 1745 | */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1746 | bool are_reshaped() const |
| 1747 | { |
| 1748 | return _are_reshaped; |
| 1749 | }; |
Gian Marco Iodice | 559d771 | 2017-08-08 08:38:09 +0100 | [diff] [blame] | 1750 | /** Return the number of convolution kernels |
| 1751 | * |
| 1752 | * @return The number of convolution kernels |
| 1753 | */ |
| 1754 | unsigned int num_kernels() const |
| 1755 | { |
| 1756 | return _num_kernels; |
| 1757 | }; |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 1758 | /** Return the width and height of the kernel |
| 1759 | * |
| 1760 | * @return The width and height of the kernel |
| 1761 | */ |
| 1762 | std::pair<unsigned int, unsigned int> kernel_size() const |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1763 | { |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 1764 | return std::make_pair(_kernel_width, _kernel_height); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1765 | } |
Michele Di Giorgio | b62280a | 2018-05-31 17:31:05 +0100 | [diff] [blame] | 1766 | bool retain_internal_weights() const |
| 1767 | { |
| 1768 | return _retain_internal_weights; |
| 1769 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1770 | |
| 1771 | private: |
SiCong Li | ebd8fb4 | 2020-08-18 11:03:14 +0100 | [diff] [blame] | 1772 | bool _are_reshaped; |
| 1773 | unsigned int _kernel_width; |
| 1774 | unsigned int _kernel_height; |
| 1775 | unsigned int _num_kernels; |
| 1776 | bool _retain_internal_weights; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1777 | }; |
| 1778 | |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 1779 | /** GEMM reshape information class. This class stores the necessary information about matrix A and matrix B reshape. |
| 1780 | * |
Michele Di Giorgio | 93b75e0 | 2021-06-21 12:00:43 +0100 | [diff] [blame] | 1781 | * The matrix A can only be reshaped through @ref opencl::kernels::ClGemmReshapeLhsMatrixKernel or @ref cpu::kernels::CpuGemmInterleave4x4Kernel |
Georgios Pinitas | 856f66e | 2021-04-22 21:13:21 +0100 | [diff] [blame] | 1782 | * Note: Optionally just for @ref opencl::kernels::ClGemmReshapeLhsMatrixKernel is it possible to set mult_interleave4x4_height, the multiplication factor for the height of the 4x4 interleaved block |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 1783 | * |
Michele Di Giorgio | 93b75e0 | 2021-06-21 12:00:43 +0100 | [diff] [blame] | 1784 | * The matrix B can only be reshaped through @ref opencl::kernels::ClGemmReshapeRhsMatrixKernel or @ref cpu::kernels::CpuGemmTranspose1xWKernel |
Georgios Pinitas | 856f66e | 2021-04-22 21:13:21 +0100 | [diff] [blame] | 1785 | * Note: Optionally just for @ref opencl::kernels::ClGemmReshapeRhsMatrixKernel is it possible to set mult_transpose1xW_width, the multiplication factor for the width of the 1xW transposed block |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 1786 | * |
| 1787 | */ |
| 1788 | class GEMMReshapeInfo final |
| 1789 | { |
| 1790 | public: |
| 1791 | /** Default constructor */ |
| 1792 | GEMMReshapeInfo() |
Georgios Pinitas | b0f342e | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 1793 | : _m(1), _n(1), _k(1), _mult_transpose1xW_width(1), _mult_interleave4x4_height(1), _depth_output_gemm3d(0), _reinterpret_input_as_3d(false), _broadcast_bias(false) |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 1794 | { |
| 1795 | } |
| 1796 | /** Constructor |
| 1797 | * |
| 1798 | * @param[in] m Number of matrix A rows |
| 1799 | * @param[in] n Number of matrix B columns |
| 1800 | * @param[in] k Number of matrix A columns or matrix B rows |
| 1801 | * @param[in] mult_transpose1xW_width (Optional) Multiplication factor for the width of the 1xW transposed block |
| 1802 | * @param[in] mult_interleave4x4_height (Optional) Multiplication factor for the height of the 4x4 interleaved block |
Gian Marco Iodice | 3139f03 | 2018-11-05 14:26:32 +0000 | [diff] [blame] | 1803 | * @param[in] depth_output_gemm3d (Optional) Depth (third dimension) of the output tensor to be used with the GEMM3D kernel. |
| 1804 | * If 0 the output will not be reinterpreted as 3D. Default 0 |
Gian Marco Iodice | 68a3f56 | 2018-07-26 11:44:03 +0100 | [diff] [blame] | 1805 | * @param[in] reinterpret_input_as_3d (Optional) Reinterpret the input as 3D tensor. (i.e. this flag should be set to true when GEMM is used |
Georgios Pinitas | b0f342e | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 1806 | * to perform 1x1 convolutions with the NHWC data layout) |
| 1807 | * @param[in] broadcast_bias (Optional) Broadcast the shape of the bias tensor from a vector to a matrix. |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 1808 | */ |
Georgios Pinitas | b0f342e | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 1809 | GEMMReshapeInfo(int m, int n, int k, int mult_transpose1xW_width = 1, int mult_interleave4x4_height = 1, int depth_output_gemm3d = 0, bool reinterpret_input_as_3d = false, bool broadcast_bias = false) |
Gian Marco Iodice | 68a3f56 | 2018-07-26 11:44:03 +0100 | [diff] [blame] | 1810 | : _m(m), _n(n), _k(k), _mult_transpose1xW_width(mult_transpose1xW_width), _mult_interleave4x4_height(mult_interleave4x4_height), _depth_output_gemm3d(depth_output_gemm3d), |
Georgios Pinitas | b0f342e | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 1811 | _reinterpret_input_as_3d(reinterpret_input_as_3d), _broadcast_bias(broadcast_bias) |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 1812 | { |
| 1813 | } |
| 1814 | /** Number of matrix A rows |
| 1815 | * |
| 1816 | * @return the number of matrix A rows |
| 1817 | */ |
| 1818 | int m() const |
| 1819 | { |
| 1820 | return _m; |
| 1821 | } |
| 1822 | /** Number of matrix B columns |
| 1823 | * |
| 1824 | * @return the number of matrix B columns |
| 1825 | */ |
| 1826 | int n() const |
| 1827 | { |
| 1828 | return _n; |
| 1829 | } |
| 1830 | /** Number of matrix A columns or matrix B rows |
| 1831 | * |
| 1832 | * @return the number of matrix A columns or matrix B rows |
| 1833 | */ |
| 1834 | int k() const |
| 1835 | { |
| 1836 | return _k; |
| 1837 | } |
| 1838 | /** Multiplication factor for the width of the 1xW transposed block |
| 1839 | * |
| 1840 | * @return the multiplication factor for the width of the 1xW transposed block |
| 1841 | */ |
| 1842 | int mult_transpose1xW_width() const |
| 1843 | { |
| 1844 | return _mult_transpose1xW_width; |
| 1845 | } |
| 1846 | /** Multiplication factor for the height of the 4x4 interleaved block |
| 1847 | * |
| 1848 | * @return the multiplication factor for the height of the 4x4 interleaved block |
| 1849 | */ |
| 1850 | int mult_interleave4x4_height() const |
| 1851 | { |
| 1852 | return _mult_interleave4x4_height; |
| 1853 | } |
Isabella Gottardi | 8e74f44 | 2018-03-01 16:42:00 +0000 | [diff] [blame] | 1854 | /** Depth (third dimension) of the output tensor to be used with the GEMM3D kernel |
| 1855 | * |
| 1856 | * @note GEMM3D kernel is used when the output has to be reinterpret as 3D tensor. In that case: |
| 1857 | * m = depth_output_gemm3d * output_height |
| 1858 | * |
| 1859 | * @return the depth of the output tensor to be used with the GEMM3D kernel |
| 1860 | */ |
| 1861 | int depth_output_gemm3d() const |
| 1862 | { |
| 1863 | return _depth_output_gemm3d; |
| 1864 | } |
Gian Marco Iodice | 68a3f56 | 2018-07-26 11:44:03 +0100 | [diff] [blame] | 1865 | /** Flag which specifies if the input tensor has to be reinterpreted as 3D |
| 1866 | * |
| 1867 | * @return True if the input tensor has to be reinterpreted as 3D tensor |
| 1868 | */ |
| 1869 | bool reinterpret_input_as_3d() const |
| 1870 | { |
| 1871 | return _reinterpret_input_as_3d; |
| 1872 | }; |
Georgios Pinitas | b0f342e | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 1873 | /** Flag which specifies whether to broadcast the shape of the bias tensor. |
| 1874 | * |
| 1875 | * @return True if the shape of the bias tensor is to be broadcasted. |
| 1876 | */ |
| 1877 | bool broadcast_bias() const |
| 1878 | { |
| 1879 | return _broadcast_bias; |
| 1880 | }; |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 1881 | |
| 1882 | private: |
SiCong Li | ebd8fb4 | 2020-08-18 11:03:14 +0100 | [diff] [blame] | 1883 | int _m; |
| 1884 | int _n; |
| 1885 | int _k; |
| 1886 | int _mult_transpose1xW_width; |
| 1887 | int _mult_interleave4x4_height; |
| 1888 | int _depth_output_gemm3d; |
| 1889 | bool _reinterpret_input_as_3d; |
| 1890 | bool _broadcast_bias; |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 1891 | }; |
| 1892 | |
Michalis Spyrou | 60c3b0e | 2021-04-08 12:02:58 +0100 | [diff] [blame] | 1893 | struct ConvolutionInfo |
| 1894 | { |
| 1895 | ConvolutionInfo() = default; |
| 1896 | ConvolutionInfo(const PadStrideInfo &pad_stride_info, unsigned int depth_multiplier, const ActivationLayerInfo &act_info, const Size2D &dilation) |
| 1897 | : pad_stride_info(pad_stride_info), depth_multiplier(depth_multiplier), act_info(act_info), dilation(dilation) |
| 1898 | { |
| 1899 | } |
| 1900 | PadStrideInfo pad_stride_info{}; /**< Convolution info (Pads, strides,...) */ |
| 1901 | unsigned int depth_multiplier{ 1 }; /**< Multiplier to apply to input's depth to retrieve the output depth. Defaults to 1 */ |
| 1902 | ActivationLayerInfo act_info{}; /**< Fused activation to apply after convolution. */ |
| 1903 | Size2D dilation{ Size2D(1, 1) }; /**< Dilation, in elements, across x and y. Defaults to (1, 1). */ |
| 1904 | }; |
| 1905 | |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1906 | /** GEMMLowp output stage type */ |
| 1907 | enum class GEMMLowpOutputStageType |
| 1908 | { |
Manuel Bottini | 959c26d | 2019-12-02 16:22:35 +0000 | [diff] [blame] | 1909 | NONE, /**< No quantization */ |
| 1910 | QUANTIZE_DOWN, /**< Quantize using an integer multiplication */ |
| 1911 | QUANTIZE_DOWN_FIXEDPOINT, /**< Quantize using a fixed point multiplication */ |
| 1912 | QUANTIZE_DOWN_FLOAT /**< Quantize using a floating point multiplication */ |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1913 | }; |
| 1914 | |
| 1915 | /** GEMMLowp output stage info */ |
| 1916 | struct GEMMLowpOutputStageInfo |
| 1917 | { |
Giorgio Arena | 1856ff7 | 2020-02-07 13:46:45 +0000 | [diff] [blame] | 1918 | GEMMLowpOutputStageType type{ GEMMLowpOutputStageType::NONE }; /**< GEMMLowp output stage type */ |
| 1919 | int32_t gemmlowp_offset{ 0 }; /**< GEMMLowp output stage offset used for quantizing to QASYMM8 */ |
| 1920 | int32_t gemmlowp_multiplier{ 0 }; /**< GEMMLowp output stage multiplier used for quantizing to QASYMM8 */ |
| 1921 | int32_t gemmlowp_shift{ 0 }; /**< GEMMLowp output stage shift used for quantizing to uint8 */ |
| 1922 | int32_t gemmlowp_min_bound{ std::numeric_limits<int32_t>::lowest() }; /**< GEMMLowp min value used to saturate down the output result before converting back to QASYMM8 */ |
| 1923 | int32_t gemmlowp_max_bound{ std::numeric_limits<int32_t>::max() }; /**< GEMMLowp max value used to saturate down the output result before converting back to QASYMM8 */ |
| 1924 | std::vector<int32_t> gemmlowp_multipliers{}; /**< GEMMLowp output stage multiplier used for quantizing to QASYMM8 */ |
| 1925 | std::vector<int32_t> gemmlowp_shifts{}; /**< GEMMLowp output stage multiplier used for quantizing to QASYMM8 */ |
Sheri Zhang | 1b14c75 | 2020-03-09 14:29:52 +0000 | [diff] [blame] | 1926 | float gemmlowp_real_multiplier{ 0 }; /**< GEMMLowp output stage real multiplier used for quantizing to QASYMM8 */ |
Giorgio Arena | 1856ff7 | 2020-02-07 13:46:45 +0000 | [diff] [blame] | 1927 | bool is_quantized_per_channel{ false }; /**< GEMMLowp quantized per-channel flag */ |
| 1928 | DataType output_data_type{ DataType::UNKNOWN }; /**< Output tensor data type to use if the output is not initialized */ |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1929 | }; |
| 1930 | |
Gian Marco Iodice | 5ba5e09 | 2018-12-06 17:13:09 +0000 | [diff] [blame] | 1931 | /** GEMM LHS (Left Hand Side) matrix information */ |
| 1932 | struct GEMMLHSMatrixInfo |
| 1933 | { |
morgolock | aba2f91 | 2020-05-05 16:28:19 +0100 | [diff] [blame] | 1934 | GEMMLHSMatrixInfo() = default; |
| 1935 | GEMMLHSMatrixInfo(unsigned int m, unsigned int k, unsigned int v, bool trans, bool inter) |
| 1936 | : m0(m), k0(k), v0(v), transpose(trans), interleave(inter) |
| 1937 | { |
| 1938 | } |
Gian Marco Iodice | 5ba5e09 | 2018-12-06 17:13:09 +0000 | [diff] [blame] | 1939 | unsigned int m0{ 1 }; /**< Number of rows processed by the matrix multiplication */ |
| 1940 | unsigned int k0{ 1 }; /**< Number of partial accumulations performed by the matrix multiplication */ |
| 1941 | unsigned int v0{ 1 }; /**< Number of vertical blocks of size (m0xk0) stored on the same output row */ |
| 1942 | bool transpose{ true }; /**< True if the (m0xk0) block has to be transposed before been stored */ |
| 1943 | bool interleave{ true }; /**< True if the v0 (m0xk0) blocks have to be interleaved in the output row */ |
| 1944 | }; |
| 1945 | |
Gian Marco Iodice | 3b0a265 | 2018-12-07 11:18:09 +0000 | [diff] [blame] | 1946 | /** GEMM RHS (Right Hand Side) matrix information */ |
| 1947 | struct GEMMRHSMatrixInfo |
| 1948 | { |
morgolock | aba2f91 | 2020-05-05 16:28:19 +0100 | [diff] [blame] | 1949 | GEMMRHSMatrixInfo() = default; |
Gian Marco Iodice | e3a849a | 2020-06-10 17:59:30 +0100 | [diff] [blame] | 1950 | GEMMRHSMatrixInfo(unsigned int n, unsigned int k, unsigned int h, bool trans, bool inter, bool export_to_cl_img) |
| 1951 | : n0(n), k0(k), h0(h), transpose(trans), interleave(inter), export_to_cl_image(export_to_cl_img) |
morgolock | aba2f91 | 2020-05-05 16:28:19 +0100 | [diff] [blame] | 1952 | { |
| 1953 | } |
Gian Marco Iodice | dd717c3 | 2020-05-28 10:22:03 +0100 | [diff] [blame] | 1954 | unsigned int n0{ 1 }; /**< Number of columns processed by the matrix multiplication */ |
| 1955 | unsigned int k0{ 1 }; /**< Number of partial accumulations performed by the matrix multiplication */ |
| 1956 | unsigned int h0{ 1 }; /**< Number of horizontal blocks of size (k0xn0) stored on the same output row */ |
| 1957 | bool transpose{ true }; /**< True if the (k0xn0) block has to be transposed before been stored */ |
| 1958 | bool interleave{ true }; /**< True if the h0 (k0xn0) blocks have to be interleaved in the output row */ |
| 1959 | bool export_to_cl_image{ false }; /**< True if the reshaped rhs has to be exported to cl_image. n0 must be equal to 4 */ |
Gian Marco Iodice | 3b0a265 | 2018-12-07 11:18:09 +0000 | [diff] [blame] | 1960 | }; |
| 1961 | |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 1962 | /** GEMM information class. This class stores the necessary information to compute GEMM functions |
| 1963 | * |
| 1964 | * This object also contains the information about how matrix A and matrix B have been reshaped |
| 1965 | * |
| 1966 | */ |
Chunosov | 5124be5 | 2017-11-22 20:42:13 +0700 | [diff] [blame] | 1967 | class GEMMInfo |
| 1968 | { |
| 1969 | public: |
| 1970 | /** Default constructor */ |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 1971 | GEMMInfo() noexcept |
| 1972 | : _is_a_reshaped(false), |
| 1973 | _is_b_reshaped(false), |
| 1974 | _reshape_b_only_on_first_run(true), |
| 1975 | _depth_output_gemm3d(0), |
| 1976 | _reinterpret_input_as_3d(false), |
| 1977 | _retain_internal_weights(false), |
| 1978 | _gemmlowp_output_stage(), |
Georgios Pinitas | 4ee8b15 | 2021-07-16 16:16:43 +0100 | [diff] [blame] | 1979 | _fast_math(false), |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 1980 | _fp_mixed_precision(false), |
| 1981 | _broadcast_bias(false), |
ramelg01 | cbbb038 | 2021-09-17 17:36:57 +0100 | [diff] [blame] | 1982 | _pretranspose_B(true), |
Giorgio Arena | 63e0beb | 2021-09-24 14:04:27 +0100 | [diff] [blame] | 1983 | _activation_info() |
Chunosov | 5124be5 | 2017-11-22 20:42:13 +0700 | [diff] [blame] | 1984 | { |
| 1985 | } |
| 1986 | /** Constructor |
| 1987 | * |
| 1988 | * @param[in] is_a_reshaped True if the matrix A has been reshaped |
| 1989 | * @param[in] is_b_reshaped True if the matrix B has been reshaped |
| 1990 | * @param[in] reshape_b_only_on_first_run Reshape matrix B only for the first run |
Isabella Gottardi | 8e74f44 | 2018-03-01 16:42:00 +0000 | [diff] [blame] | 1991 | * @param[in] depth_output_gemm3d (Optional) Depth (third dimension) of the output tensor to be used with the GEMM3D kernel |
Gian Marco Iodice | 3139f03 | 2018-11-05 14:26:32 +0000 | [diff] [blame] | 1992 | * If 0 the output will not be reinterpreted as 3D. Default 0 |
Gian Marco Iodice | 68a3f56 | 2018-07-26 11:44:03 +0100 | [diff] [blame] | 1993 | * @param[in] reinterpret_input_as_3d (Optional) Reinterpret the input as 3D tensor. (i.e. this flag should be set to true when GEMM is used |
| 1994 | * to perform 1x1 convolutions with the NHWC data layout) |
Michele Di Giorgio | ba1ffe9 | 2018-08-22 14:28:30 +0100 | [diff] [blame] | 1995 | * @param[in] retain_internal_weights (Optional) Retain the weights tensor from previous run |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 1996 | * @param[in] gemmlowp_output_stage (Optional) GEMMLowp Output stage info |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 1997 | * @param[in] fp_mixed_precision (Optional) Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. |
Georgios Pinitas | 4ee8b15 | 2021-07-16 16:16:43 +0100 | [diff] [blame] | 1998 | * @param[in] fast_math (Optional) Use a data type of shorter width to improve performance |
Georgios Pinitas | b0f342e | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 1999 | * @param[in] broadcast_bias (Optional) Broadcast the shape of the bias tensor from a vector to a matrix. |
Gian Marco Iodice | f3622be | 2019-07-29 14:27:16 +0100 | [diff] [blame] | 2000 | * @param[in] activation_info (Optional) Activation to apply after the matrix multiplication |
Chunosov | 5124be5 | 2017-11-22 20:42:13 +0700 | [diff] [blame] | 2001 | */ |
Gian Marco Iodice | 3139f03 | 2018-11-05 14:26:32 +0000 | [diff] [blame] | 2002 | GEMMInfo(bool is_a_reshaped, bool is_b_reshaped, bool reshape_b_only_on_first_run, int depth_output_gemm3d = 0, bool reinterpret_input_as_3d = false, bool retain_internal_weights = false, |
Georgios Pinitas | 4ee8b15 | 2021-07-16 16:16:43 +0100 | [diff] [blame] | 2003 | GEMMLowpOutputStageInfo gemmlowp_output_stage = GEMMLowpOutputStageInfo(), bool fp_mixed_precision = false, bool fast_math = false, bool broadcast_bias = false, |
Giorgio Arena | 63e0beb | 2021-09-24 14:04:27 +0100 | [diff] [blame] | 2004 | const ActivationLayerInfo &activation_info = ActivationLayerInfo()) noexcept |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 2005 | : _is_a_reshaped(is_a_reshaped), |
| 2006 | _is_b_reshaped(is_b_reshaped), |
| 2007 | _reshape_b_only_on_first_run(reshape_b_only_on_first_run), |
| 2008 | _depth_output_gemm3d(depth_output_gemm3d), |
| 2009 | _reinterpret_input_as_3d(reinterpret_input_as_3d), |
| 2010 | _retain_internal_weights(retain_internal_weights), |
| 2011 | _gemmlowp_output_stage(gemmlowp_output_stage), |
Georgios Pinitas | 4ee8b15 | 2021-07-16 16:16:43 +0100 | [diff] [blame] | 2012 | _fast_math(fast_math), |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 2013 | _fp_mixed_precision(fp_mixed_precision), |
| 2014 | _broadcast_bias(broadcast_bias), |
ramelg01 | cbbb038 | 2021-09-17 17:36:57 +0100 | [diff] [blame] | 2015 | _pretranspose_B(reshape_b_only_on_first_run), |
Giorgio Arena | 63e0beb | 2021-09-24 14:04:27 +0100 | [diff] [blame] | 2016 | _activation_info(activation_info) |
Chunosov | 5124be5 | 2017-11-22 20:42:13 +0700 | [diff] [blame] | 2017 | { |
| 2018 | } |
| 2019 | /** Flag which specifies if the matrix A has been reshaped |
| 2020 | * |
| 2021 | * @return True if the matrix A has been reshaped |
| 2022 | */ |
| 2023 | bool is_a_reshaped() const |
| 2024 | { |
| 2025 | return _is_a_reshaped; |
| 2026 | }; |
| 2027 | /** Flag which specifies if the matrix B has been reshaped |
| 2028 | * |
| 2029 | * @return True if the matrix B has been reshaped |
| 2030 | */ |
| 2031 | bool is_b_reshaped() const |
| 2032 | { |
| 2033 | return _is_b_reshaped; |
| 2034 | }; |
| 2035 | /** Flag which specifies if the reshape of matrix B should executed only for the first |
| 2036 | * |
| 2037 | * @note This flag could be set to TRUE when GEMM is used to accelerate convolution layer |
| 2038 | * |
| 2039 | * @return True if the reshaped of matrix B happens only for the first run |
| 2040 | */ |
| 2041 | bool reshape_b_only_on_first_run() const |
| 2042 | { |
| 2043 | return _reshape_b_only_on_first_run; |
| 2044 | }; |
Isabella Gottardi | 8e74f44 | 2018-03-01 16:42:00 +0000 | [diff] [blame] | 2045 | /** Depth of the output when GEMM output is reinterpreted as 3D tensor |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 2046 | * |
Isabella Gottardi | 8e74f44 | 2018-03-01 16:42:00 +0000 | [diff] [blame] | 2047 | * @return the depth of the output tensor |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 2048 | */ |
Isabella Gottardi | 8e74f44 | 2018-03-01 16:42:00 +0000 | [diff] [blame] | 2049 | int depth_output_gemm3d() const |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 2050 | { |
Isabella Gottardi | 8e74f44 | 2018-03-01 16:42:00 +0000 | [diff] [blame] | 2051 | return _depth_output_gemm3d; |
| 2052 | }; |
Gian Marco Iodice | 68a3f56 | 2018-07-26 11:44:03 +0100 | [diff] [blame] | 2053 | /** Flag which specifies if the input tensor has to be reinterpreted as 3D |
| 2054 | * |
| 2055 | * @return True if the input tensor has to be reinterpreted as 3D tensor |
| 2056 | */ |
| 2057 | bool reinterpret_input_as_3d() const |
| 2058 | { |
| 2059 | return _reinterpret_input_as_3d; |
| 2060 | }; |
Michele Di Giorgio | ba1ffe9 | 2018-08-22 14:28:30 +0100 | [diff] [blame] | 2061 | /** Flag which specifies if the weights tensor has to be retained from previous run |
| 2062 | * |
| 2063 | * @return True if the weights tensor has to be retained |
| 2064 | */ |
| 2065 | bool retain_internal_weights() const |
| 2066 | { |
| 2067 | return _retain_internal_weights; |
| 2068 | }; |
Gian Marco Iodice | 4b90865 | 2018-10-18 10:21:02 +0100 | [diff] [blame] | 2069 | /** GEMMLowp output stage |
| 2070 | * |
| 2071 | * @return the GEMMLowp output stage info |
| 2072 | */ |
| 2073 | GEMMLowpOutputStageInfo gemmlowp_output_stage() const |
| 2074 | { |
| 2075 | return _gemmlowp_output_stage; |
| 2076 | }; |
Georgios Pinitas | dbdea0d | 2019-10-16 19:21:40 +0100 | [diff] [blame] | 2077 | /** Sets GEMMLowp output stage |
| 2078 | * |
| 2079 | * @param[in] output_stage Output stage to set |
| 2080 | */ |
| 2081 | void set_gemmlowp_output_stage(GEMMLowpOutputStageInfo &output_stage) |
| 2082 | { |
| 2083 | _gemmlowp_output_stage = output_stage; |
| 2084 | }; |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 2085 | /** Flag which specifies if a wider accumulator should be used. |
| 2086 | * |
| 2087 | * @return True if a wider accumulator has to be used |
| 2088 | */ |
| 2089 | bool fp_mixed_precision() const |
| 2090 | { |
| 2091 | return _fp_mixed_precision; |
| 2092 | }; |
Georgios Pinitas | 4ee8b15 | 2021-07-16 16:16:43 +0100 | [diff] [blame] | 2093 | /** Flag which specifies if a shorter accumulator to be used. |
| 2094 | * |
| 2095 | * @return True if a shorter accumulator has to be used |
| 2096 | */ |
| 2097 | bool fast_math() const |
| 2098 | { |
| 2099 | return _fast_math; |
| 2100 | }; |
Georgios Pinitas | b0f342e | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 2101 | /** Flag which specifies whether to broadcast the shape of the bias tensor. |
| 2102 | * |
| 2103 | * @return True if the shape of the bias tensor is to be broadcasted. |
| 2104 | */ |
| 2105 | bool broadcast_bias() const |
| 2106 | { |
| 2107 | return _broadcast_bias; |
| 2108 | }; |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 2109 | /** Flag which specifies whether b should be pre-transposed if supported. |
| 2110 | * |
| 2111 | * @return True if b should be pre-transposed else false. |
| 2112 | */ |
ramelg01 | cbbb038 | 2021-09-17 17:36:57 +0100 | [diff] [blame] | 2113 | bool pretranspose_B() const |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 2114 | { |
ramelg01 | cbbb038 | 2021-09-17 17:36:57 +0100 | [diff] [blame] | 2115 | return _pretranspose_B; |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 2116 | }; |
| 2117 | /** Set pre-transpose b flag |
| 2118 | * |
| 2119 | * @param[in] flag Flag to set |
| 2120 | */ |
ramelg01 | cbbb038 | 2021-09-17 17:36:57 +0100 | [diff] [blame] | 2121 | void set_pretranspose_B(bool flag) |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 2122 | { |
ramelg01 | cbbb038 | 2021-09-17 17:36:57 +0100 | [diff] [blame] | 2123 | _pretranspose_B = flag; |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 2124 | } |
Gian Marco Iodice | f3622be | 2019-07-29 14:27:16 +0100 | [diff] [blame] | 2125 | /** Activation layer to apply after the matrix multiplication |
| 2126 | * |
| 2127 | * @return ActivationLayerInfo object |
| 2128 | */ |
| 2129 | ActivationLayerInfo activation_info() const |
| 2130 | { |
| 2131 | return _activation_info; |
| 2132 | } |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 2133 | /** Set activation layer info |
| 2134 | * |
| 2135 | * @param[in] activation_info ActivationLayerInfo object to set |
| 2136 | */ |
| 2137 | void set_activation_info(const ActivationLayerInfo &activation_info) |
| 2138 | { |
| 2139 | _activation_info = activation_info; |
| 2140 | } |
Chunosov | 5124be5 | 2017-11-22 20:42:13 +0700 | [diff] [blame] | 2141 | |
| 2142 | private: |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 2143 | bool _is_a_reshaped; |
| 2144 | bool _is_b_reshaped; |
| 2145 | bool _reshape_b_only_on_first_run; |
| 2146 | int _depth_output_gemm3d; |
| 2147 | bool _reinterpret_input_as_3d; |
| 2148 | bool _retain_internal_weights; |
| 2149 | GEMMLowpOutputStageInfo _gemmlowp_output_stage; |
Georgios Pinitas | 4ee8b15 | 2021-07-16 16:16:43 +0100 | [diff] [blame] | 2150 | bool _fast_math; |
Georgios Pinitas | 37d080f | 2019-06-21 18:43:12 +0100 | [diff] [blame] | 2151 | bool _fp_mixed_precision; |
| 2152 | bool _broadcast_bias; |
ramelg01 | cbbb038 | 2021-09-17 17:36:57 +0100 | [diff] [blame] | 2153 | bool _pretranspose_B; |
Gian Marco Iodice | f3622be | 2019-07-29 14:27:16 +0100 | [diff] [blame] | 2154 | ActivationLayerInfo _activation_info; |
Chunosov | 5124be5 | 2017-11-22 20:42:13 +0700 | [diff] [blame] | 2155 | }; |
| 2156 | |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 2157 | /** Winograd information */ |
| 2158 | struct WinogradInfo |
| 2159 | { |
| 2160 | /** Default constructor |
| 2161 | * |
| 2162 | * @param[in] output_tile_sz Width and height of the output tile |
| 2163 | * @param[in] kernel_sz Width and height of the kernel |
| 2164 | * @param[in] input_dims Width and height of the input tensor before the convolution is applied |
| 2165 | * @param[in] conv_info Convolution info (Pads, strides) |
| 2166 | * @param[in] data_layout Data layout to use for the output tensor once the convolution has been applied |
| 2167 | */ |
| 2168 | WinogradInfo(Size2D output_tile_sz, Size2D kernel_sz, Size2D input_dims, PadStrideInfo conv_info, DataLayout data_layout) |
| 2169 | : output_tile_size(output_tile_sz), kernel_size(kernel_sz), input_dimensions(input_dims), convolution_info(conv_info), output_data_layout(data_layout) |
| 2170 | { |
| 2171 | } |
| 2172 | |
| 2173 | Size2D output_tile_size{}; /**< Width and height of the output tile */ |
| 2174 | Size2D kernel_size{}; /**< Width and height of the kernel*/ |
| 2175 | Size2D input_dimensions{}; /**< Width and height of the input tensor before the convolution is applied */ |
| 2176 | PadStrideInfo convolution_info{}; /**< Convolution info (Pads, strides,...) */ |
| 2177 | DataLayout output_data_layout{ DataLayout::NCHW }; /**< Data layout to use for the output tensor once the convolution has been applied (NCHW or NHWC) */ |
| 2178 | }; |
| 2179 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 2180 | /** IO formatting information class*/ |
| 2181 | struct IOFormatInfo |
| 2182 | { |
| 2183 | /** Precision type used when printing floating point numbers */ |
| 2184 | enum class PrecisionType |
| 2185 | { |
| 2186 | Default, /**< Default precision to the one that the current stream has */ |
| 2187 | Custom, /**< Custom precision specified by the user using the precision parameter */ |
| 2188 | Full /**< The maximum precision of the floating point representation */ |
| 2189 | }; |
| 2190 | |
| 2191 | /** Specifies the area to be printed, used by Tensor objects */ |
| 2192 | enum class PrintRegion |
| 2193 | { |
| 2194 | ValidRegion, /**< Prints the valid region of the Tensor object */ |
| 2195 | NoPadding, /**< Prints the Tensor object without the padding */ |
| 2196 | Full /**< Print the tensor object including padding */ |
| 2197 | }; |
| 2198 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 2199 | /** Construct a set of IO formatting information. |
| 2200 | * |
| 2201 | * @param[in] print_region Area to be printed. Used by Tensor objects. Default: ValidRegion. |
| 2202 | * @param[in] precision_type Precision type for floating point numbers. Default: stream default. |
| 2203 | * @param[in] precision Precision value for float point numbers. Default: 10. |
| 2204 | * @param[in] align_columns Whether to align columns when printed. Default: true. |
| 2205 | * @param[in] element_delim Delimeter between elements. Default: " ". |
| 2206 | * @param[in] row_delim Delimenter between rows. Default: "\n". |
| 2207 | */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 2208 | IOFormatInfo(PrintRegion print_region = PrintRegion::ValidRegion, |
| 2209 | PrecisionType precision_type = PrecisionType::Default, |
| 2210 | unsigned int precision = 10, |
| 2211 | bool align_columns = true, |
| 2212 | std::string element_delim = " ", |
| 2213 | std::string row_delim = "\n") |
| 2214 | : print_region(print_region), |
| 2215 | precision_type(precision_type), |
| 2216 | precision(precision), |
| 2217 | element_delim(element_delim), |
| 2218 | row_delim(row_delim), |
| 2219 | align_columns(align_columns) |
| 2220 | { |
| 2221 | } |
| 2222 | |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 2223 | /** Area to be printed by Tensor objects */ |
| 2224 | PrintRegion print_region; |
| 2225 | /** Floating point precision type */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 2226 | PrecisionType precision_type; |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 2227 | /** Floating point precision */ |
| 2228 | unsigned int precision; |
| 2229 | /** Element delimeter */ |
| 2230 | std::string element_delim; |
| 2231 | /** Row delimeter */ |
| 2232 | std::string row_delim; |
| 2233 | /** Align columns */ |
| 2234 | bool align_columns; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 2235 | }; |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 2236 | } // namespace arm_compute |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 2237 | #endif /* ARM_COMPUTE_TYPES_H */ |