Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2016, 2017 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #ifndef __ARM_COMPUTE_TYPES_H__ |
| 25 | #define __ARM_COMPUTE_TYPES_H__ |
| 26 | |
| 27 | #include "arm_compute/core/Coordinates.h" |
| 28 | #include "arm_compute/core/TensorShape.h" |
| 29 | |
| 30 | #include <cstddef> |
| 31 | #include <cstdint> |
| 32 | #include <string> |
| 33 | #include <utility> |
| 34 | |
| 35 | namespace arm_compute |
| 36 | { |
| 37 | /** Image colour formats */ |
| 38 | enum class Format |
| 39 | { |
| 40 | UNKNOWN, /** Unknown image format */ |
| 41 | U8, /** 1 channel, 1 U8 per channel */ |
| 42 | S16, /** 1 channel, 1 S16 per channel */ |
| 43 | U16, /** 1 channel, 1 U16 per channel */ |
| 44 | S32, /** 1 channel, 1 S32 per channel */ |
| 45 | U32, /** 1 channel, 1 U32 per channel */ |
| 46 | F16, /** 1 channel, 1 F16 per channel */ |
| 47 | F32, /** 1 channel, 1 F32 per channel */ |
| 48 | UV88, /** 2 channel, 1 U8 per channel */ |
| 49 | RGB888, /** 3 channels, 1 U8 per channel */ |
| 50 | RGBA8888, /** 4 channels, 1 U8 per channel */ |
| 51 | YUV444, /** A 3 plane of 8 bit 4:4:4 sampled Y, U, V planes */ |
| 52 | YUYV422, /** A single plane of 32-bit macro pixel of Y0, U0, Y1, V0 bytes */ |
| 53 | NV12, /** A 2 plane YUV format of Luma (Y) and interleaved UV data at 4:2:0 sampling */ |
| 54 | NV21, /** A 2 plane YUV format of Luma (Y) and interleaved VU data at 4:2:0 sampling */ |
| 55 | IYUV, /** A 3 plane of 8-bit 4:2:0 sampled Y, U, V planes */ |
| 56 | UYVY422 /** A single plane of 32-bit macro pixel of U0, Y0, V0, Y1 byte */ |
| 57 | }; |
| 58 | |
| 59 | /** Available data types */ |
| 60 | enum class DataType |
| 61 | { |
| 62 | UNKNOWN, |
| 63 | U8, |
| 64 | S8, |
| 65 | QS8, |
| 66 | U16, |
| 67 | S16, |
| 68 | QS16, |
| 69 | U32, |
| 70 | S32, |
Pablo Tello | f87cc7f | 2017-07-26 10:28:40 +0100 | [diff] [blame] | 71 | QS32, |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 72 | U64, |
| 73 | S64, |
| 74 | F16, |
| 75 | F32, |
| 76 | F64, |
| 77 | SIZET |
| 78 | }; |
| 79 | |
| 80 | /** Constant value of the border pixels when using BorderMode::CONSTANT */ |
| 81 | constexpr uint8_t CONSTANT_BORDER_VALUE = 199; |
| 82 | |
| 83 | /* Constant value used to indicate a half-scale pyramid */ |
| 84 | constexpr float SCALE_PYRAMID_HALF = 0.5f; |
| 85 | |
| 86 | /* Constant value used to indicate a ORB scaled pyramid */ |
| 87 | constexpr float SCALE_PYRAMID_ORB = 8.408964152537146130583778358414e-01; |
| 88 | |
| 89 | struct ValidRegion |
| 90 | { |
| 91 | ValidRegion() |
| 92 | : anchor{}, shape{} |
| 93 | { |
| 94 | } |
| 95 | |
| 96 | ValidRegion(const ValidRegion &) = default; |
| 97 | ValidRegion(ValidRegion &&) = default; |
| 98 | ValidRegion &operator=(const ValidRegion &) = default; |
| 99 | ValidRegion &operator=(ValidRegion &&) = default; |
| 100 | ~ValidRegion() = default; |
| 101 | |
| 102 | ValidRegion(Coordinates anchor, TensorShape shape) |
| 103 | : anchor{ anchor }, shape{ shape } |
| 104 | { |
| 105 | } |
| 106 | |
| 107 | /** Return the start of the valid region for the given dimension @p d */ |
| 108 | int start(unsigned int d) const |
| 109 | { |
| 110 | return anchor[d]; |
| 111 | } |
| 112 | |
| 113 | /** Return the end of the valid region for the given dimension @p d */ |
| 114 | int end(unsigned int d) const |
| 115 | { |
| 116 | return anchor[d] + shape[d]; |
| 117 | } |
| 118 | |
| 119 | Coordinates anchor; |
| 120 | TensorShape shape; |
| 121 | }; |
| 122 | |
| 123 | /** Methods available to handle borders */ |
| 124 | enum class BorderMode |
| 125 | { |
| 126 | UNDEFINED, /**< Borders are left undefined */ |
| 127 | CONSTANT, /**< Pixels outside the image are assumed to have a constant value */ |
| 128 | REPLICATE /**< Pixels outside the image are assumed to have the same value as the closest image pixel */ |
| 129 | }; |
| 130 | |
| 131 | /** Container for 2D border size */ |
| 132 | struct BorderSize |
| 133 | { |
| 134 | /** Empty border, i.e. no border */ |
| 135 | constexpr BorderSize() |
| 136 | : top{ 0 }, right{ 0 }, bottom{ 0 }, left{ 0 } |
| 137 | { |
| 138 | } |
| 139 | |
| 140 | /** Border with equal size around the 2D plane */ |
| 141 | constexpr BorderSize(unsigned int size) |
| 142 | : top{ size }, right{ size }, bottom{ size }, left{ size } |
| 143 | { |
| 144 | } |
| 145 | |
| 146 | /** Border with same size for top/bottom and left/right */ |
| 147 | constexpr BorderSize(unsigned int top_bottom, unsigned int left_right) |
| 148 | : top{ top_bottom }, right{ left_right }, bottom{ top_bottom }, left{ left_right } |
| 149 | { |
| 150 | } |
| 151 | |
| 152 | /** Border with different sizes */ |
| 153 | constexpr BorderSize(unsigned int top, unsigned int right, unsigned int bottom, unsigned int left) |
| 154 | : top{ top }, right{ right }, bottom{ bottom }, left{ left } |
| 155 | { |
| 156 | } |
| 157 | |
| 158 | /** Check if the entire border is zero */ |
| 159 | constexpr bool empty() const |
| 160 | { |
| 161 | return top == 0 && right == 0 && bottom == 0 && left == 0; |
| 162 | } |
| 163 | |
| 164 | /** Check if the border is the same size on all sides */ |
| 165 | constexpr bool uniform() const |
| 166 | { |
| 167 | return top == right && top == bottom && top == left; |
| 168 | } |
| 169 | |
| 170 | BorderSize &operator*=(float scale) |
| 171 | { |
| 172 | top *= scale; |
| 173 | right *= scale; |
| 174 | bottom *= scale; |
| 175 | left *= scale; |
| 176 | |
| 177 | return *this; |
| 178 | } |
| 179 | |
| 180 | BorderSize operator*(float scale) |
| 181 | { |
| 182 | BorderSize size = *this; |
| 183 | size *= scale; |
| 184 | |
| 185 | return size; |
| 186 | } |
| 187 | |
| 188 | void limit(const BorderSize &limit) |
| 189 | { |
| 190 | top = std::min(top, limit.top); |
| 191 | right = std::min(right, limit.right); |
| 192 | bottom = std::min(bottom, limit.bottom); |
| 193 | left = std::min(left, limit.left); |
| 194 | } |
| 195 | |
| 196 | unsigned int top; |
| 197 | unsigned int right; |
| 198 | unsigned int bottom; |
| 199 | unsigned int left; |
| 200 | }; |
| 201 | |
| 202 | using PaddingSize = BorderSize; |
| 203 | |
| 204 | /** Policy to handle overflow */ |
| 205 | enum class ConvertPolicy |
| 206 | { |
| 207 | WRAP, /**< Wrap around */ |
| 208 | SATURATE /**< Saturate */ |
| 209 | }; |
| 210 | |
| 211 | /** Interpolation method */ |
| 212 | enum class InterpolationPolicy |
| 213 | { |
| 214 | NEAREST_NEIGHBOR, /**< Output values are defined to match the source pixel whose center is nearest to the sample position */ |
| 215 | BILINEAR, /**< Output values are defined by bilinear interpolation between the pixels */ |
| 216 | 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 */ |
| 217 | }; |
| 218 | |
| 219 | /** Bilinear Interpolation method used by LKTracker */ |
| 220 | enum class BilinearInterpolation |
| 221 | { |
| 222 | BILINEAR_OLD_NEW, |
| 223 | BILINEAR_SCHARR |
| 224 | }; |
| 225 | |
| 226 | /** Threshold mode */ |
| 227 | enum class ThresholdType |
| 228 | { |
| 229 | BINARY, /**< Threshold with one value */ |
| 230 | RANGE /**< Threshold with two values*/ |
| 231 | }; |
| 232 | |
| 233 | /** Rounding method */ |
| 234 | enum class RoundingPolicy |
| 235 | { |
| 236 | TO_ZERO, /**< Truncates the least significand values that are lost in operations. */ |
| 237 | TO_NEAREST_UP, /**< Rounds to nearest value; half rounds up */ |
| 238 | TO_NEAREST_EVEN /**< Rounds to nearest value; half rounds to nearest even */ |
| 239 | }; |
| 240 | |
| 241 | /** Termination criteria */ |
| 242 | enum class Termination |
| 243 | { |
| 244 | TERM_CRITERIA_EPSILON, |
| 245 | TERM_CRITERIA_ITERATIONS, |
| 246 | TERM_CRITERIA_BOTH |
| 247 | }; |
| 248 | |
| 249 | /** Magnitude calculation type. */ |
| 250 | enum class MagnitudeType |
| 251 | { |
| 252 | L1NORM, /**< L1 normalization type */ |
| 253 | L2NORM /**< L2 normalization type */ |
| 254 | }; |
| 255 | |
| 256 | /** Phase calculation type. |
| 257 | * |
| 258 | * @note When PhaseType == SIGNED, each angle is mapped to the range 0 to 255 inclusive otherwise angles between 0 and 180 |
| 259 | */ |
| 260 | enum class PhaseType |
| 261 | { |
| 262 | SIGNED, /**< Angle range: [0, 360] */ |
| 263 | UNSIGNED /**< Angle range: [0, 180] */ |
| 264 | }; |
| 265 | |
| 266 | /** Keypoint type */ |
| 267 | struct KeyPoint |
| 268 | { |
| 269 | int32_t x{ 0 }; /**< X coordinates */ |
| 270 | int32_t y{ 0 }; /**< Y coordinates */ |
| 271 | float strength{ 0.f }; /**< Strength of the point */ |
| 272 | float scale{ 0.f }; /**< Scale initialized to 0 by the corner detector */ |
| 273 | float orientation{ 0.f }; /**< Orientation initialized to 0 by the corner detector */ |
| 274 | int32_t tracking_status{ 0 }; /**< Status initialized to 1 by the corner detector, set to 0 when the point is lost */ |
| 275 | float error{ 0.f }; /**< Tracking error initialized to 0 by the corner detector */ |
| 276 | }; |
| 277 | |
| 278 | using InternalKeypoint = std::tuple<float, float, float>; /* x,y,strength */ |
| 279 | |
| 280 | /** Rectangle type */ |
| 281 | struct Rectangle |
| 282 | { |
| 283 | uint16_t x; /**< Top-left x coordinate */ |
| 284 | uint16_t y; /**< Top-left y coordinate */ |
| 285 | uint16_t width; /**< Width of the rectangle */ |
| 286 | uint16_t height; /**< Height of the rectangle */ |
| 287 | }; |
| 288 | |
| 289 | /** Coordinate type */ |
| 290 | struct Coordinates2D |
| 291 | { |
| 292 | int32_t x; /**< X coordinates */ |
| 293 | int32_t y; /**< Y coordinates */ |
| 294 | }; |
| 295 | |
| 296 | /** Coordinate type */ |
| 297 | struct Coordinates3D |
| 298 | { |
| 299 | uint32_t x; /**< X coordinates */ |
| 300 | uint32_t y; /**< Y coordinates */ |
| 301 | uint32_t z; /**< Z coordinates */ |
| 302 | }; |
| 303 | |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 304 | /** Region of interest */ |
| 305 | struct ROI |
| 306 | { |
| 307 | Rectangle rect; /**< Rectangle specifying the region of interest */ |
| 308 | uint16_t batch_idx; /**< The batch index of the region of interest */ |
| 309 | }; |
| 310 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 311 | /** Available channels */ |
| 312 | enum class Channel |
| 313 | { |
| 314 | UNKNOWN, /** Unknown channel format */ |
| 315 | C0, /**< First channel (used by formats with unknown channel types). */ |
| 316 | C1, /**< Second channel (used by formats with unknown channel types). */ |
| 317 | C2, /**< Third channel (used by formats with unknown channel types). */ |
| 318 | C3, /**< Fourth channel (used by formats with unknown channel types). */ |
| 319 | R, /**< Red channel. */ |
| 320 | G, /**< Green channel. */ |
| 321 | B, /**< Blue channel. */ |
| 322 | A, /**< Alpha channel. */ |
| 323 | Y, /**< Luma channel. */ |
| 324 | U, /**< Cb/U channel. */ |
| 325 | V /**< Cr/V/Value channel. */ |
| 326 | }; |
| 327 | |
| 328 | /** Available matrix patterns */ |
| 329 | enum class MatrixPattern |
| 330 | { |
| 331 | BOX, /**< Box pattern matrix. */ |
| 332 | CROSS, /**< Cross pattern matrix. */ |
| 333 | DISK, /**< Disk pattern matrix. */ |
| 334 | OTHER /**< Any other matrix pattern. */ |
| 335 | }; |
| 336 | |
| 337 | /** Available non linear functions. */ |
| 338 | enum class NonLinearFilterFunction : unsigned |
| 339 | { |
| 340 | MEDIAN = 0, /**< Non linear median filter. */ |
| 341 | MIN = 1, /**< Non linear erode. */ |
| 342 | MAX = 2, /**< Non linear dilate. */ |
| 343 | }; |
| 344 | |
Georgios Pinitas | d976958 | 2017-08-03 10:19:40 +0100 | [diff] [blame] | 345 | /** Available reduction operations */ |
| 346 | enum class ReductionOperation |
| 347 | { |
| 348 | SUM_SQUARE, /**< Sum of squares */ |
Michalis Spyrou | 04f089c | 2017-08-08 17:42:38 +0100 | [diff] [blame] | 349 | SUM, /**< Sum */ |
Georgios Pinitas | d976958 | 2017-08-03 10:19:40 +0100 | [diff] [blame] | 350 | }; |
| 351 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 352 | /** The normalization type used for the normalization layer */ |
| 353 | enum class NormType |
| 354 | { |
| 355 | IN_MAP_1D, /**< Normalization applied within the same map in 1D region */ |
| 356 | IN_MAP_2D, /**< Normalization applied within the same map in 2D region */ |
| 357 | CROSS_MAP /**< Normalization applied cross maps */ |
| 358 | }; |
| 359 | |
| 360 | /** Normalization type for Histogram of Oriented Gradients (HOG) */ |
| 361 | enum class HOGNormType |
| 362 | { |
| 363 | L2_NORM = 1, /**< L2-norm */ |
| 364 | L2HYS_NORM = 2, /**< L2-norm followed by clipping */ |
| 365 | L1_NORM = 3 /**< L1 norm */ |
| 366 | }; |
| 367 | |
| 368 | /** Detection window used for the object detection. The detection window keeps the following information: |
| 369 | * |
| 370 | * -# Geometry of the rectangular window (x/y of top-left corner and width/height) |
| 371 | * -# Index of the class used for evaluating which class the detection window belongs to |
| 372 | * -# Confidence value (score) obtained with the classifier |
| 373 | */ |
| 374 | struct DetectionWindow |
| 375 | { |
| 376 | uint16_t x{ 0 }; /**< Top-left x coordinate */ |
| 377 | uint16_t y{ 0 }; /**< Top-left y coordinate */ |
| 378 | uint16_t width{ 0 }; /**< Width of the detection window */ |
| 379 | uint16_t height{ 0 }; /**< Height of the detection window */ |
| 380 | uint16_t idx_class{ 0 }; /**< Index of the class */ |
| 381 | float score{ 0.f }; /**< Confidence value for the detection window */ |
| 382 | }; |
| 383 | |
| 384 | /** Dimension rounding type when down-scaling on CNNs |
| 385 | * @note Used in pooling and convolution layer |
| 386 | */ |
| 387 | enum class DimensionRoundingType |
| 388 | { |
| 389 | FLOOR, /**< Floor rounding */ |
| 390 | CEIL /**< Ceil rounding */ |
| 391 | }; |
| 392 | |
| 393 | /** Available pooling types */ |
| 394 | enum class PoolingType |
| 395 | { |
| 396 | MAX, /**< Max Pooling */ |
| 397 | AVG /**< Average Pooling */ |
| 398 | }; |
| 399 | |
| 400 | /** Padding and stride information class */ |
| 401 | class PadStrideInfo |
| 402 | { |
| 403 | public: |
| 404 | /** Constructor |
| 405 | * |
| 406 | * @param[in] stride_x (Optional) Stride, in elements, across x. Defaults to 1. |
| 407 | * @param[in] stride_y (Optional) Stride, in elements, across y. Defaults to 1. |
| 408 | * @param[in] pad_x (Optional) Padding, in elements, across x. Defaults to 0. |
| 409 | * @param[in] pad_y (Optional) Padding, in elements, across y. Defaults to 0. |
| 410 | * @param[in] round (Optional) Dimensions rounding. Defaults to @ref FLOOR. |
| 411 | */ |
| 412 | PadStrideInfo(unsigned int stride_x = 1, unsigned int stride_y = 1, |
| 413 | unsigned int pad_x = 0, unsigned int pad_y = 0, |
| 414 | DimensionRoundingType round = DimensionRoundingType::FLOOR) |
| 415 | : _stride(std::make_pair(stride_x, stride_y)), |
| 416 | _pad(std::make_pair(pad_x, pad_y)), |
| 417 | _round_type(round) |
| 418 | { |
| 419 | } |
| 420 | std::pair<unsigned int, unsigned int> stride() const |
| 421 | { |
| 422 | return _stride; |
| 423 | } |
| 424 | std::pair<unsigned int, unsigned int> pad() const |
| 425 | { |
| 426 | return _pad; |
| 427 | } |
| 428 | DimensionRoundingType round() const |
| 429 | { |
| 430 | return _round_type; |
| 431 | } |
| 432 | |
| 433 | private: |
| 434 | std::pair<unsigned int, unsigned int> _stride; |
| 435 | std::pair<unsigned int, unsigned int> _pad; |
| 436 | DimensionRoundingType _round_type; |
| 437 | }; |
| 438 | |
| 439 | /** Pooling Layer Information class */ |
| 440 | class PoolingLayerInfo |
| 441 | { |
| 442 | public: |
| 443 | /** Default Constructor |
| 444 | * |
| 445 | * @param[in] pool_type Pooling type @ref PoolingType. Defaults to @ref PoolingType::MAX |
| 446 | * @param[in] pool_size (Optional) Pooling size, in elements, across x and y. Defaults to 2. |
| 447 | * @param[in] pad_stride_info (Optional) Padding and stride information @ref PadStrideInfo |
| 448 | */ |
| 449 | PoolingLayerInfo(PoolingType pool_type = PoolingType::MAX, unsigned int pool_size = 2, PadStrideInfo pad_stride_info = PadStrideInfo()) |
| 450 | : _pool_type(pool_type), _pool_size(pool_size), _pad_stride_info(pad_stride_info) |
| 451 | { |
| 452 | } |
| 453 | PoolingType pool_type() const |
| 454 | { |
| 455 | return _pool_type; |
| 456 | } |
| 457 | unsigned int pool_size() const |
| 458 | { |
| 459 | return _pool_size; |
| 460 | } |
| 461 | PadStrideInfo pad_stride_info() const |
| 462 | { |
| 463 | return _pad_stride_info; |
| 464 | } |
| 465 | |
| 466 | private: |
| 467 | PoolingType _pool_type; |
| 468 | unsigned int _pool_size; |
| 469 | PadStrideInfo _pad_stride_info; |
| 470 | }; |
| 471 | |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 472 | /** ROI Pooling Layer Information class */ |
| 473 | class ROIPoolingLayerInfo |
| 474 | { |
| 475 | public: |
| 476 | /** Default Constructor |
| 477 | * |
| 478 | * @param[in] pooled_width Pooled width of the layer. |
| 479 | * @param[in] pooled_height Pooled height of the layer. |
| 480 | * @param[in] spatial_scale Spatial scale to be applied to the ROI coordinates and dimensions. |
| 481 | */ |
| 482 | ROIPoolingLayerInfo(unsigned int pooled_width, unsigned int pooled_height, float spatial_scale) |
| 483 | : _pooled_width(pooled_width), _pooled_height(pooled_height), _spatial_scale(spatial_scale) |
| 484 | { |
| 485 | } |
| 486 | unsigned int pooled_width() const |
| 487 | { |
| 488 | return _pooled_width; |
| 489 | } |
| 490 | unsigned int pooled_height() const |
| 491 | { |
| 492 | return _pooled_height; |
| 493 | } |
| 494 | float spatial_scale() const |
| 495 | { |
| 496 | return _spatial_scale; |
| 497 | } |
| 498 | |
| 499 | private: |
| 500 | unsigned int _pooled_width; |
| 501 | unsigned int _pooled_height; |
| 502 | float _spatial_scale; |
| 503 | }; |
| 504 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 505 | /** Activation Layer Information class */ |
| 506 | class ActivationLayerInfo |
| 507 | { |
| 508 | public: |
| 509 | /** Available activation functions */ |
| 510 | enum class ActivationFunction |
| 511 | { |
Georgios Pinitas | 64ebe5b | 2017-09-01 17:44:24 +0100 | [diff] [blame^] | 512 | LOGISTIC, /**< Logistic ( \f$ f(x) = \frac{1}{1 + e^{-x}} \f$ ) */ |
| 513 | TANH, /**< Hyperbolic tangent ( \f$ f(x) = a \cdot tanh(b \cdot x) \f$ ) */ |
| 514 | RELU, /**< Rectifier ( \f$ f(x) = max(0,x) \f$ ) */ |
| 515 | BOUNDED_RELU, /**< Upper Bounded Rectifier ( \f$ f(x) = min(a, max(0,x)) \f$ ) */ |
| 516 | LU_BOUNDED_RELU, /**< Lower and Upper Bounded Rectifier ( \f$ f(x) = min(a, max(b,x)) \f$ ) */ |
| 517 | LEAKY_RELU, /**< Leaky Rectifier ( \f$ f(x)= log(1+e^x) \f$ ) */ |
| 518 | SOFT_RELU, /**< Soft Rectifier ( \f$ f(x)= log(1+e^x) \f$ ) */ |
| 519 | ABS, /**< Absolute ( \f$ f(x)= |x| \f$ ) */ |
| 520 | SQUARE, /**< Square ( \f$ f(x)= x^2 \f$ )*/ |
| 521 | SQRT, /**< Square root ( \f$ f(x) = \sqrt{x} \f$ )*/ |
| 522 | LINEAR /**< Linear ( \f$ f(x)= ax + b \f$ ) */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 523 | }; |
| 524 | |
| 525 | /** Default Constructor |
| 526 | * |
| 527 | * @param[in] f The activation function to use. |
| 528 | * @param[in] a (Optional) The alpha parameter used by some activation functions |
Georgios Pinitas | 64ebe5b | 2017-09-01 17:44:24 +0100 | [diff] [blame^] | 529 | * (@ref ActivationFunction::BOUNDED_RELU, @ref ActivationFunction::LU_BOUNDED_RELU, @ref ActivationFunction::LINEAR, @ref ActivationFunction::TANH). |
| 530 | * @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] | 531 | */ |
| 532 | ActivationLayerInfo(ActivationFunction f, float a = 0.0f, float b = 0.0f) |
| 533 | : _act(f), _a(a), _b(b) |
| 534 | { |
| 535 | } |
| 536 | ActivationFunction activation() const |
| 537 | { |
| 538 | return _act; |
| 539 | } |
| 540 | float a() const |
| 541 | { |
| 542 | return _a; |
| 543 | } |
| 544 | float b() const |
| 545 | { |
| 546 | return _b; |
| 547 | } |
| 548 | |
| 549 | private: |
| 550 | ActivationFunction _act; |
| 551 | float _a; |
| 552 | float _b; |
| 553 | }; |
| 554 | |
| 555 | /** Normalization Layer Information class */ |
| 556 | class NormalizationLayerInfo |
| 557 | { |
| 558 | public: |
| 559 | /** Default Constructor |
| 560 | * |
| 561 | * @param[in] type The normalization type. Can be @ref NormType::IN_MAP_1D, @ref NormType::IN_MAP_2D or @ref NORM_TYPE::CROSS_MAP |
| 562 | * @param[in] norm_size The normalization size is the number of elements to normalize across. Defaults to 5. |
| 563 | * @param[in] alpha Alpha parameter used by normalization equation. Defaults to 0.0001. |
| 564 | * @param[in] beta Beta parameter used by normalization equation. Defaults to 0.5. |
| 565 | * @param[in] kappa Kappa parameter used by [Krichevksy 2012] Across Channel Local Brightness Normalization equation. |
| 566 | */ |
| 567 | NormalizationLayerInfo(NormType type, uint32_t norm_size = 5, float alpha = 0.0001f, float beta = 0.5f, float kappa = 1.f) |
| 568 | : _type(type), _norm_size(norm_size), _alpha(alpha), _beta(beta), _kappa(kappa) |
| 569 | { |
| 570 | } |
| 571 | NormType type() const |
| 572 | { |
| 573 | return _type; |
| 574 | } |
| 575 | uint32_t norm_size() const |
| 576 | { |
| 577 | return _norm_size; |
| 578 | } |
| 579 | float alpha() const |
| 580 | { |
| 581 | return _alpha; |
| 582 | } |
| 583 | float beta() const |
| 584 | { |
| 585 | return _beta; |
| 586 | } |
| 587 | float kappa() const |
| 588 | { |
| 589 | return _kappa; |
| 590 | } |
| 591 | /** Return the scaling factor of the normalization function. If kappa is not |
| 592 | * 1 then [Krichevksy 2012] normalization scaling is specified. Scaling |
| 593 | * factor takes into account the total number of elements used for the |
| 594 | * normalization, so in case of 2 dimensions this is _norm_size^2. |
| 595 | * |
| 596 | * @return The normalization scaling factor. |
| 597 | */ |
| 598 | float scale_coeff() const |
| 599 | { |
| 600 | const uint32_t size = (_type == NormType::IN_MAP_2D) ? _norm_size * _norm_size : _norm_size; |
| 601 | return (_kappa == 1.f) ? (_alpha / size) : _alpha; |
| 602 | } |
| 603 | |
| 604 | private: |
| 605 | NormType _type; |
| 606 | uint32_t _norm_size; |
| 607 | float _alpha; |
| 608 | float _beta; |
| 609 | float _kappa; |
| 610 | }; |
| 611 | |
Gian Marco Iodice | 559d771 | 2017-08-08 08:38:09 +0100 | [diff] [blame] | 612 | /** 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] | 613 | class WeightsInfo |
| 614 | { |
| 615 | public: |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 616 | /** Default constructor */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 617 | WeightsInfo() |
Gian Marco Iodice | 559d771 | 2017-08-08 08:38:09 +0100 | [diff] [blame] | 618 | : _are_reshaped(false), _kernel_width(0), _kernel_height(0), _num_kernels(0) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 619 | { |
| 620 | } |
| 621 | /** Constructor |
| 622 | * |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 623 | * @param[in] are_reshaped True if the weights have been reshaped |
| 624 | * @param[in] kernel_width Kernel width. |
| 625 | * @param[in] kernel_height Kernel height. |
Gian Marco Iodice | 559d771 | 2017-08-08 08:38:09 +0100 | [diff] [blame] | 626 | * @param[in] num_kernels Number of convolution kernels. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 627 | */ |
Gian Marco Iodice | 559d771 | 2017-08-08 08:38:09 +0100 | [diff] [blame] | 628 | WeightsInfo(bool are_reshaped, unsigned int kernel_width, unsigned int kernel_height, unsigned int num_kernels) |
| 629 | : _are_reshaped(are_reshaped), _kernel_width(kernel_width), _kernel_height(kernel_height), _num_kernels(num_kernels) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 630 | { |
| 631 | } |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 632 | /** Flag which specifies if the weights tensor has been reshaped. |
| 633 | * |
| 634 | * @return True if the weights tensors has been reshaped |
| 635 | */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 636 | bool are_reshaped() const |
| 637 | { |
| 638 | return _are_reshaped; |
| 639 | }; |
Gian Marco Iodice | 559d771 | 2017-08-08 08:38:09 +0100 | [diff] [blame] | 640 | /** Return the number of convolution kernels |
| 641 | * |
| 642 | * @return The number of convolution kernels |
| 643 | */ |
| 644 | unsigned int num_kernels() const |
| 645 | { |
| 646 | return _num_kernels; |
| 647 | }; |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 648 | /** Return the width and height of the kernel |
| 649 | * |
| 650 | * @return The width and height of the kernel |
| 651 | */ |
| 652 | std::pair<unsigned int, unsigned int> kernel_size() const |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 653 | { |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 654 | return std::make_pair(_kernel_width, _kernel_height); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 655 | } |
| 656 | |
| 657 | private: |
| 658 | const bool _are_reshaped; |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 659 | const unsigned int _kernel_width; |
| 660 | const unsigned int _kernel_height; |
Gian Marco Iodice | 559d771 | 2017-08-08 08:38:09 +0100 | [diff] [blame] | 661 | const unsigned int _num_kernels; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 662 | }; |
| 663 | |
| 664 | /** IO formatting information class*/ |
| 665 | struct IOFormatInfo |
| 666 | { |
| 667 | /** Precision type used when printing floating point numbers */ |
| 668 | enum class PrecisionType |
| 669 | { |
| 670 | Default, /**< Default precision to the one that the current stream has */ |
| 671 | Custom, /**< Custom precision specified by the user using the precision parameter */ |
| 672 | Full /**< The maximum precision of the floating point representation */ |
| 673 | }; |
| 674 | |
| 675 | /** Specifies the area to be printed, used by Tensor objects */ |
| 676 | enum class PrintRegion |
| 677 | { |
| 678 | ValidRegion, /**< Prints the valid region of the Tensor object */ |
| 679 | NoPadding, /**< Prints the Tensor object without the padding */ |
| 680 | Full /**< Print the tensor object including padding */ |
| 681 | }; |
| 682 | |
| 683 | IOFormatInfo(PrintRegion print_region = PrintRegion::ValidRegion, |
| 684 | PrecisionType precision_type = PrecisionType::Default, |
| 685 | unsigned int precision = 10, |
| 686 | bool align_columns = true, |
| 687 | std::string element_delim = " ", |
| 688 | std::string row_delim = "\n") |
| 689 | : print_region(print_region), |
| 690 | precision_type(precision_type), |
| 691 | precision(precision), |
| 692 | element_delim(element_delim), |
| 693 | row_delim(row_delim), |
| 694 | align_columns(align_columns) |
| 695 | { |
| 696 | } |
| 697 | |
| 698 | PrintRegion print_region; |
| 699 | PrecisionType precision_type; |
| 700 | unsigned int precision; |
| 701 | std::string element_delim; |
| 702 | std::string row_delim; |
| 703 | bool align_columns; |
| 704 | }; |
| 705 | } |
| 706 | #endif /* __ARM_COMPUTE_TYPES_H__ */ |