Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 1 | /* |
Usama Arif | 881f2de | 2019-04-12 10:29:17 +0100 | [diff] [blame^] | 2 | * Copyright (c) 2017-2019 ARM Limited. |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | |
| 25 | #ifndef __ARM_COMPUTE_NEDIRECTCONVOLUTIONDETAIL_H__ |
| 26 | #define __ARM_COMPUTE_NEDIRECTCONVOLUTIONDETAIL_H__ |
| 27 | |
| 28 | #include "arm_compute/core/AccessWindowStatic.h" |
| 29 | #include "arm_compute/core/NEON/NEFixedPoint.h" |
| 30 | |
| 31 | #include <arm_neon.h> |
| 32 | |
| 33 | namespace arm_compute |
| 34 | { |
| 35 | namespace detail |
| 36 | { |
| 37 | /** Loads a 3x3 matrix as a row (float). |
| 38 | * |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 39 | * @param[in] ptr Pointer to a float 3x3 matrix. |
| 40 | * @param[in] weights_offset (Optional) Weights quantization offset. |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 41 | * |
| 42 | * @return The loaded matrix. |
| 43 | */ |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 44 | inline float32x4x3_t load_matrix_row(const float *ptr, int weights_offset = 0) |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 45 | { |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 46 | ARM_COMPUTE_UNUSED(weights_offset); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 47 | const float32x4x3_t r = |
| 48 | { |
| 49 | { |
| 50 | vld1q_dup_f32(ptr), |
| 51 | vld1q_dup_f32(1 + ptr), |
| 52 | vld1q_dup_f32(2 + ptr) |
| 53 | } |
| 54 | }; |
| 55 | return r; |
| 56 | } |
| 57 | |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 58 | /** Loads a 3x3 matrix as a row (uint8_t). |
| 59 | * |
| 60 | * @param[in] ptr Pointer to a uint8_t 3x3 matrix. |
| 61 | * @param[in] weights_offset (Optional) Weights quantization offset. |
| 62 | * |
| 63 | * @return The loaded matrix. |
| 64 | */ |
| 65 | inline int32x4x3_t load_matrix_row(const uint8_t *ptr, int weights_offset = 0) |
| 66 | { |
| 67 | const int32x4_t v_weights_offset = vdupq_n_s32(weights_offset); |
| 68 | |
| 69 | /* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes: |
| 70 | r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */ |
| 71 | int32x4x3_t r = |
| 72 | { |
| 73 | { |
| 74 | vaddq_s32(v_weights_offset, vdupq_n_s32(*ptr)), |
| 75 | vaddq_s32(v_weights_offset, vdupq_n_s32(*(ptr + 1))), |
| 76 | vaddq_s32(v_weights_offset, vdupq_n_s32(*(ptr + 2))) |
| 77 | } |
| 78 | }; |
| 79 | return r; |
| 80 | } |
| 81 | |
Usama Arif | 881f2de | 2019-04-12 10:29:17 +0100 | [diff] [blame^] | 82 | /** Perform a 3x3 convolution for 4 consecutive elements on float32 when dilation.x() or dilation.y() is not 1. |
| 83 | * |
| 84 | * @param[in] in_top Pointer to the first row of the input. |
| 85 | * @param[in] in_mid Pointer to the second row of the input. |
| 86 | * @param[in] in_low Pointer to the third row of the input. |
| 87 | * @param[in] m0 First row of the filter. |
| 88 | * @param[in] m1 Second row of the filter. |
| 89 | * @param[in] m2 Third row of the filter. |
| 90 | * @param[in] dilation_x Dilation, in elements across x. |
| 91 | * @param[in] input_offset (Optional) Input quantization offset. |
| 92 | * |
| 93 | */ |
| 94 | inline float32x4_t single_convolve_3x3_dilation(const float *in_top, const float *in_mid, const float *in_low, |
| 95 | const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, |
| 96 | const size_t dilation_x, int input_offset) |
| 97 | { |
| 98 | ARM_COMPUTE_UNUSED(input_offset); |
| 99 | |
| 100 | const float32x4x3_t vtop = |
| 101 | { |
| 102 | { |
| 103 | vld1q_f32(in_top), |
| 104 | vld1q_f32(in_top + dilation_x), |
| 105 | vld1q_f32(in_top + 2 * dilation_x) |
| 106 | } |
| 107 | }; |
| 108 | const float32x4x3_t vmid = |
| 109 | { |
| 110 | { |
| 111 | vld1q_f32(in_mid), |
| 112 | vld1q_f32(in_mid + dilation_x), |
| 113 | vld1q_f32(in_mid + 2 * dilation_x) |
| 114 | } |
| 115 | }; |
| 116 | const float32x4x3_t vlow = |
| 117 | { |
| 118 | { |
| 119 | vld1q_f32(in_low), |
| 120 | vld1q_f32(in_low + dilation_x), |
| 121 | vld1q_f32(in_low + 2 * dilation_x) |
| 122 | } |
| 123 | }; |
| 124 | float32x4_t out = vmulq_f32(vtop.val[0], m0.val[0]); |
| 125 | out = vmlaq_f32(out, vtop.val[1], m0.val[1]); |
| 126 | out = vmlaq_f32(out, vtop.val[2], m0.val[2]); |
| 127 | |
| 128 | out = vmlaq_f32(out, vmid.val[0], m1.val[0]); |
| 129 | out = vmlaq_f32(out, vmid.val[1], m1.val[1]); |
| 130 | out = vmlaq_f32(out, vmid.val[2], m1.val[2]); |
| 131 | |
| 132 | out = vmlaq_f32(out, vlow.val[0], m2.val[0]); |
| 133 | out = vmlaq_f32(out, vlow.val[1], m2.val[1]); |
| 134 | out = vmlaq_f32(out, vlow.val[2], m2.val[2]); |
| 135 | |
| 136 | return out; |
| 137 | } |
| 138 | |
| 139 | /** Perform a 3x3 convolution for 8 consecutive elements on float32 when dilation.x() or dilation.y() is not 1. |
| 140 | * |
| 141 | * @param[in] in_top Pointer to the first row of the input. |
| 142 | * @param[in] in_mid Pointer to the second row of the input. |
| 143 | * @param[in] in_low Pointer to the third row of the input. |
| 144 | * @param[in] m0 First row of the filter. |
| 145 | * @param[in] m1 Second row of the filter. |
| 146 | * @param[in] m2 Third row of the filter. |
| 147 | * @param[in] dilation_x Dilation, in elements across x. |
| 148 | * @param[in] input_offset (Optional) Input quantization offset. |
| 149 | * |
| 150 | */ |
| 151 | template <unsigned int stridex> |
| 152 | float32x4x2_t convolve_3x3_dilation(const float *in_top, const float *in_mid, const float *in_low, |
| 153 | const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, |
| 154 | const size_t dilation_x, int input_offset = 0); |
| 155 | |
| 156 | template <> |
| 157 | inline float32x4x2_t convolve_3x3_dilation<1>(const float *in_top, const float *in_mid, const float *in_low, |
| 158 | const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, |
| 159 | const size_t dilation_x, int input_offset) |
| 160 | { |
| 161 | ARM_COMPUTE_UNUSED(input_offset); |
| 162 | |
| 163 | const float32x4x2_t out = |
| 164 | { |
| 165 | { |
| 166 | single_convolve_3x3_dilation(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset), |
| 167 | single_convolve_3x3_dilation(in_top + 4, in_mid + 4, in_low + 4, m0, m1, m2, dilation_x, input_offset) |
| 168 | } |
| 169 | }; |
| 170 | |
| 171 | return out; |
| 172 | } |
| 173 | |
| 174 | template <> |
| 175 | inline float32x4x2_t convolve_3x3_dilation<2>(const float *in_top, const float *in_mid, const float *in_low, |
| 176 | const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, |
| 177 | const size_t dilation_x, int input_offset) |
| 178 | { |
| 179 | ARM_COMPUTE_UNUSED(input_offset); |
| 180 | |
| 181 | float32x4x2_t out = convolve_3x3_dilation<1>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset); |
| 182 | out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 2), out.val[0], 1); |
| 183 | out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 0), out.val[0], 2); |
| 184 | out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 2), out.val[0], 3); |
| 185 | return out; |
| 186 | } |
| 187 | |
| 188 | template <> |
| 189 | inline float32x4x2_t convolve_3x3_dilation<3>(const float *in_top, const float *in_mid, const float *in_low, |
| 190 | const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, |
| 191 | const size_t dilation_x, int input_offset) |
| 192 | { |
| 193 | ARM_COMPUTE_UNUSED(input_offset); |
| 194 | |
| 195 | float32x4x2_t out = convolve_3x3_dilation<1>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset); |
| 196 | ; |
| 197 | out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1); |
| 198 | return out; |
| 199 | } |
| 200 | |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 201 | /** Perform a convolve3x3 on float32. |
| 202 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 203 | * @param[in] in_top Pointer to the first row of the input. |
| 204 | * @param[in] in_mid Pointer to the second row of the input. |
| 205 | * @param[in] in_low Pointer to the third row of the input. |
| 206 | * @param[in] m0 First row of the filter. |
| 207 | * @param[in] m1 Second row of the filter. |
| 208 | * @param[in] m2 Third row of the filter. |
| 209 | * @param[in] input_offset (Optional) Input quantization offset. |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 210 | * |
| 211 | */ |
| 212 | template <unsigned int stridex> |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 213 | float32x4x2_t convolve_3x3(const float *in_top, const float *in_mid, const float *in_low, |
| 214 | const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 215 | int input_offset = 0); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 216 | |
| 217 | template <> |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 218 | inline float32x4x2_t convolve_3x3<1>(const float *in_top, const float *in_mid, const float *in_low, |
| 219 | const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 220 | int input_offset) |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 221 | { |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 222 | ARM_COMPUTE_UNUSED(input_offset); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 223 | |
| 224 | const float32x4x3_t vtop = |
| 225 | { |
| 226 | { |
| 227 | vld1q_f32(in_top), |
| 228 | vld1q_f32(in_top + 4), |
| 229 | vld1q_f32(in_top + 8) |
| 230 | } |
| 231 | }; |
| 232 | const float32x4x3_t vmid = |
| 233 | { |
| 234 | { |
| 235 | vld1q_f32(in_mid), |
| 236 | vld1q_f32(in_mid + 4), |
| 237 | vld1q_f32(in_mid + 8) |
| 238 | } |
| 239 | }; |
| 240 | const float32x4x3_t vlow = |
| 241 | { |
| 242 | { |
| 243 | vld1q_f32(in_low), |
| 244 | vld1q_f32(in_low + 4), |
| 245 | vld1q_f32(in_low + 8) |
| 246 | } |
| 247 | }; |
| 248 | float32x4x2_t out = |
| 249 | { |
| 250 | { |
| 251 | vmulq_f32(vtop.val[0], m0.val[0]), |
| 252 | vmulq_f32(vtop.val[1], m0.val[0]) |
| 253 | } |
| 254 | }; |
| 255 | out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 1), m0.val[1]); |
| 256 | out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 2), m0.val[2]); |
| 257 | |
| 258 | out.val[0] = vmlaq_f32(out.val[0], vmid.val[0], m1.val[0]); |
| 259 | out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 1), m1.val[1]); |
| 260 | out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 2), m1.val[2]); |
| 261 | |
| 262 | out.val[0] = vmlaq_f32(out.val[0], vlow.val[0], m2.val[0]); |
| 263 | out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 1), m2.val[1]); |
| 264 | out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 2), m2.val[2]); |
| 265 | |
| 266 | out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 1), m0.val[1]); |
| 267 | out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 2), m0.val[2]); |
| 268 | |
| 269 | out.val[1] = vmlaq_f32(out.val[1], vmid.val[1], m1.val[0]); |
| 270 | out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 1), m1.val[1]); |
| 271 | out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 2), m1.val[2]); |
| 272 | |
| 273 | out.val[1] = vmlaq_f32(out.val[1], vlow.val[1], m2.val[0]); |
| 274 | out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 1), m2.val[1]); |
| 275 | out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 2), m2.val[2]); |
| 276 | return out; |
| 277 | } |
| 278 | |
| 279 | template <> |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 280 | inline float32x4x2_t convolve_3x3<2>(const float *in_top, const float *in_mid, const float *in_low, |
| 281 | const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 282 | int input_offset) |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 283 | { |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 284 | ARM_COMPUTE_UNUSED(input_offset); |
| 285 | |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 286 | float32x4x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, input_offset); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 287 | out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 2), out.val[0], 1); |
| 288 | out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 0), out.val[0], 2); |
| 289 | out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 2), out.val[0], 3); |
| 290 | return out; |
| 291 | } |
| 292 | |
| 293 | template <> |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 294 | inline float32x4x2_t convolve_3x3<3>(const float *in_top, const float *in_mid, const float *in_low, |
| 295 | const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 296 | int input_offset) |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 297 | { |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 298 | ARM_COMPUTE_UNUSED(input_offset); |
| 299 | |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 300 | float32x4x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, input_offset); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 301 | out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1); |
| 302 | return out; |
| 303 | } |
| 304 | |
Usama Arif | 881f2de | 2019-04-12 10:29:17 +0100 | [diff] [blame^] | 305 | /** Perform a 3x3 convolution for 4 consecutive elements on uint8_t when dilation.x() or dilation.y() is not 1. |
| 306 | * |
| 307 | * @param[in] in_top Pointer to the first row of the input. |
| 308 | * @param[in] in_mid Pointer to the second row of the input. |
| 309 | * @param[in] in_low Pointer to the third row of the input. |
| 310 | * @param[in] m0 First row of the filter. |
| 311 | * @param[in] m1 Second row of the filter. |
| 312 | * @param[in] m2 Third row of the filter. |
| 313 | * @param[in] dilation_x Dilation, in elements across x. |
| 314 | * @param[in] input_offset Input quantization offset. |
| 315 | * |
| 316 | */ |
| 317 | inline int32x4_t single_convolve_3x3_dilation(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, |
| 318 | const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, |
| 319 | size_t dilation_x, int input_offset) |
| 320 | { |
| 321 | const int32x4_t v_input_offset = vdupq_n_s32(input_offset); |
| 322 | |
| 323 | const uint8x8x3_t vtop = |
| 324 | { |
| 325 | { |
| 326 | vld1_u8(in_top), |
| 327 | vld1_u8(in_top + dilation_x), |
| 328 | vld1_u8(in_top + 2 * dilation_x) |
| 329 | } |
| 330 | }; |
| 331 | const uint8x8x3_t vmid = |
| 332 | { |
| 333 | { |
| 334 | vld1_u8(in_mid), |
| 335 | vld1_u8(in_mid + dilation_x), |
| 336 | vld1_u8(in_mid + 2 * dilation_x) |
| 337 | } |
| 338 | }; |
| 339 | const uint8x8x3_t vlow = |
| 340 | { |
| 341 | { |
| 342 | vld1_u8(in_low), |
| 343 | vld1_u8(in_low + dilation_x), |
| 344 | vld1_u8(in_low + 2 * dilation_x) |
| 345 | } |
| 346 | }; |
| 347 | |
| 348 | const int32x4x3_t vtop_s32 = |
| 349 | { |
| 350 | { |
| 351 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[0])))), //convert from uint8x8 to uint16x8, to uint16x4(lower or bottom half) to int16x4 to int32x4 |
| 352 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[1])))), |
| 353 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[2])))), |
| 354 | } |
| 355 | }; |
| 356 | const int32x4x3_t vmid_s32 = |
| 357 | { |
| 358 | { |
| 359 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[0])))), |
| 360 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[1])))), |
| 361 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[2])))), |
| 362 | } |
| 363 | }; |
| 364 | const int32x4x3_t vlow_s32 = |
| 365 | { |
| 366 | { |
| 367 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[0])))), |
| 368 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[1])))), |
| 369 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[2])))), |
| 370 | } |
| 371 | }; |
| 372 | |
| 373 | int32x4_t out = vmulq_s32(vtop_s32.val[0], m0.val[0]); |
| 374 | out = vmlaq_s32(out, vtop_s32.val[1], m0.val[1]); |
| 375 | out = vmlaq_s32(out, vtop_s32.val[2], m0.val[2]); |
| 376 | |
| 377 | out = vmlaq_s32(out, vmid_s32.val[0], m1.val[0]); |
| 378 | out = vmlaq_s32(out, vmid_s32.val[1], m1.val[1]); |
| 379 | out = vmlaq_s32(out, vmid_s32.val[2], m1.val[2]); |
| 380 | |
| 381 | out = vmlaq_s32(out, vlow_s32.val[0], m2.val[0]); |
| 382 | out = vmlaq_s32(out, vlow_s32.val[1], m2.val[1]); |
| 383 | out = vmlaq_s32(out, vlow_s32.val[2], m2.val[2]); |
| 384 | |
| 385 | return out; |
| 386 | } |
| 387 | |
| 388 | /** Perform a 3x3 convolution for 4 consecutive elements on uint8_t when dilation.x() or dilation.y() is not 1. |
| 389 | * |
| 390 | * @param[in] in_top Pointer to the first row of the input. |
| 391 | * @param[in] in_mid Pointer to the second row of the input. |
| 392 | * @param[in] in_low Pointer to the third row of the input. |
| 393 | * @param[in] m0 First row of the filter. |
| 394 | * @param[in] m1 Second row of the filter. |
| 395 | * @param[in] m2 Third row of the filter. |
| 396 | * @param[in] dilation_x Dilation, in elements across x. |
| 397 | * @param[in] input_offset Input quantization offset. |
| 398 | * |
| 399 | */ |
| 400 | template <unsigned int stridex> |
| 401 | int32x4x2_t convolve_3x3_dilation(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, |
| 402 | const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, |
| 403 | const size_t dilation_x, int input_offset); |
| 404 | |
| 405 | template <> |
| 406 | inline int32x4x2_t convolve_3x3_dilation<1>(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, |
| 407 | const size_t dilation_x, int input_offset) |
| 408 | { |
| 409 | const int32x4x2_t out = |
| 410 | { |
| 411 | { |
| 412 | single_convolve_3x3_dilation(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset), |
| 413 | single_convolve_3x3_dilation(in_top + 4, in_mid + 4, in_low + 4, m0, m1, m2, dilation_x, input_offset) |
| 414 | } |
| 415 | }; |
| 416 | return out; |
| 417 | } |
| 418 | |
| 419 | template <> |
| 420 | inline int32x4x2_t convolve_3x3_dilation<2>(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, |
| 421 | const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, |
| 422 | const size_t dilation_x, int input_offset) |
| 423 | { |
| 424 | int32x4x2_t out = convolve_3x3_dilation<1>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset); |
| 425 | |
| 426 | out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 2), out.val[0], 1); |
| 427 | out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 0), out.val[0], 2); |
| 428 | out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 2), out.val[0], 3); |
| 429 | return out; |
| 430 | } |
| 431 | |
| 432 | template <> |
| 433 | inline int32x4x2_t convolve_3x3_dilation<3>(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, |
| 434 | const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, |
| 435 | const size_t dilation_x, int input_offset) |
| 436 | { |
| 437 | int32x4x2_t out = convolve_3x3_dilation<1>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset); |
| 438 | out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 3), out.val[0], 1); |
| 439 | return out; |
| 440 | } |
| 441 | |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 442 | /** Perform a convolve3x3 on uint8_t |
| 443 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 444 | * @param[in] in_top Pointer to the first row of the input. |
| 445 | * @param[in] in_mid Pointer to the second row of the input. |
| 446 | * @param[in] in_low Pointer to the third row of the input. |
| 447 | * @param[in] m0 First row of the filter. |
| 448 | * @param[in] m1 Second row of the filter. |
| 449 | * @param[in] m2 Third row of the filter. |
| 450 | * @param[in] input_offset (Optional) Input quantization offset. |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 451 | * |
| 452 | */ |
| 453 | template <unsigned int stridex> |
| 454 | int32x4x2_t convolve_3x3(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, |
| 455 | const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 456 | int input_offset); |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 457 | |
| 458 | template <> |
| 459 | inline int32x4x2_t convolve_3x3<1>(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 460 | int input_offset) |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 461 | { |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 462 | const int32x4_t v_input_offset = vdupq_n_s32(input_offset); |
| 463 | |
| 464 | const uint8x8x2_t vtop = |
| 465 | { |
| 466 | { |
| 467 | vld1_u8(in_top), |
| 468 | vld1_u8(in_top + 8) |
| 469 | } |
| 470 | }; |
| 471 | const uint8x8x2_t vmid = |
| 472 | { |
| 473 | { |
| 474 | vld1_u8(in_mid), |
| 475 | vld1_u8(in_mid + 8) |
| 476 | } |
| 477 | }; |
| 478 | const uint8x8x2_t vlow = |
| 479 | { |
| 480 | { |
| 481 | vld1_u8(in_low), |
| 482 | vld1_u8(in_low + 8) |
| 483 | } |
| 484 | }; |
| 485 | |
| 486 | const int32x4x3_t vtop_s32 = |
| 487 | { |
| 488 | { |
| 489 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[0])))), |
| 490 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vtop.val[0])))), |
| 491 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[1])))), |
| 492 | } |
| 493 | }; |
| 494 | const int32x4x3_t vmid_s32 = |
| 495 | { |
| 496 | { |
| 497 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[0])))), |
| 498 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vmid.val[0])))), |
| 499 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[1])))), |
| 500 | } |
| 501 | }; |
| 502 | const int32x4x3_t vlow_s32 = |
| 503 | { |
| 504 | { |
| 505 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[0])))), |
| 506 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vlow.val[0])))), |
| 507 | vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[1])))), |
| 508 | } |
| 509 | }; |
| 510 | |
| 511 | int32x4x2_t out |
| 512 | { |
| 513 | { |
| 514 | vdupq_n_s32(0), |
| 515 | vdupq_n_s32(0), |
| 516 | } |
| 517 | }; |
| 518 | |
| 519 | // 0 |
| 520 | out.val[0] = vmlaq_s32(out.val[0], vtop_s32.val[0], m0.val[0]); |
| 521 | out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vtop_s32.val[0], vtop_s32.val[1], 1), m0.val[1]); |
| 522 | out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vtop_s32.val[0], vtop_s32.val[1], 2), m0.val[2]); |
| 523 | |
| 524 | out.val[0] = vmlaq_s32(out.val[0], vmid_s32.val[0], m1.val[0]); |
| 525 | out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vmid_s32.val[0], vmid_s32.val[1], 1), m1.val[1]); |
| 526 | out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vmid_s32.val[0], vmid_s32.val[1], 2), m1.val[2]); |
| 527 | |
| 528 | out.val[0] = vmlaq_s32(out.val[0], vlow_s32.val[0], m2.val[0]); |
| 529 | out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vlow_s32.val[0], vlow_s32.val[1], 1), m2.val[1]); |
| 530 | out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vlow_s32.val[0], vlow_s32.val[1], 2), m2.val[2]); |
| 531 | |
| 532 | // 1 |
| 533 | out.val[1] = vmlaq_s32(out.val[1], vtop_s32.val[1], m0.val[0]); |
| 534 | out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vtop_s32.val[1], vtop_s32.val[2], 1), m0.val[1]); |
| 535 | out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vtop_s32.val[1], vtop_s32.val[2], 2), m0.val[2]); |
| 536 | |
| 537 | out.val[1] = vmlaq_s32(out.val[1], vmid_s32.val[1], m1.val[0]); |
| 538 | out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vmid_s32.val[1], vmid_s32.val[2], 1), m1.val[1]); |
| 539 | out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vmid_s32.val[1], vmid_s32.val[2], 2), m1.val[2]); |
| 540 | |
| 541 | out.val[1] = vmlaq_s32(out.val[1], vlow_s32.val[1], m2.val[0]); |
| 542 | out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vlow_s32.val[1], vlow_s32.val[2], 1), m2.val[1]); |
| 543 | out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vlow_s32.val[1], vlow_s32.val[2], 2), m2.val[2]); |
| 544 | |
| 545 | return out; |
| 546 | } |
| 547 | |
| 548 | template <> |
| 549 | inline int32x4x2_t convolve_3x3<2>(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, |
| 550 | const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 551 | int input_offset) |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 552 | { |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 553 | int32x4x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, input_offset); |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 554 | out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 2), out.val[0], 1); |
| 555 | out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 0), out.val[0], 2); |
| 556 | out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 2), out.val[0], 3); |
| 557 | return out; |
| 558 | } |
| 559 | |
| 560 | template <> |
| 561 | inline int32x4x2_t convolve_3x3<3>(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, |
| 562 | const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 563 | int input_offset) |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 564 | { |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 565 | int32x4x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, input_offset); |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 566 | out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 3), out.val[0], 1); |
| 567 | return out; |
| 568 | } |
| 569 | |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 570 | /** Stores a float32x4x2_t array into a memory location. |
| 571 | * |
| 572 | * @param[in] buffer Pointer to the memory location where the values will be stored. |
| 573 | * @param[in] values Values that will be stored. |
| 574 | * |
| 575 | */ |
| 576 | template <unsigned int stridex> |
| 577 | void store_results(float *buffer, const float32x4x2_t &values); |
| 578 | |
| 579 | template <> |
| 580 | inline void store_results<1>(float *buffer, const float32x4x2_t &values) |
| 581 | { |
| 582 | vst1q_f32(buffer, values.val[0]); |
| 583 | vst1q_f32(buffer + 4, values.val[1]); |
| 584 | } |
| 585 | |
| 586 | template <> |
| 587 | inline void store_results<2>(float *buffer, const float32x4x2_t &values) |
| 588 | { |
| 589 | vst1q_f32(buffer, values.val[0]); |
| 590 | } |
| 591 | |
| 592 | template <> |
| 593 | inline void store_results<3>(float *buffer, const float32x4x2_t &values) |
| 594 | { |
| 595 | vst1_f32(buffer, vget_low_f32(values.val[0])); |
| 596 | } |
| 597 | |
Georgios Pinitas | f72f936 | 2018-01-12 16:29:45 +0000 | [diff] [blame] | 598 | /** Stores a uint32_t array into a memory location. |
| 599 | * |
| 600 | * @param[in] buffer Pointer to the memory location where the values will be stored. |
| 601 | * @param[in] values Values that will be stored. |
| 602 | * |
| 603 | */ |
| 604 | template <unsigned int stridex> |
| 605 | void store_results(int32_t *buffer, const int32x4x2_t &values); |
| 606 | |
| 607 | template <> |
| 608 | inline void store_results<1>(int32_t *buffer, const int32x4x2_t &values) |
| 609 | { |
| 610 | vst1q_s32(buffer, values.val[0]); |
| 611 | vst1q_s32(buffer + 4, values.val[1]); |
| 612 | } |
| 613 | |
| 614 | template <> |
| 615 | inline void store_results<2>(int32_t *buffer, const int32x4x2_t &values) |
| 616 | { |
| 617 | vst1q_s32(buffer, values.val[0]); |
| 618 | } |
| 619 | |
| 620 | template <> |
| 621 | inline void store_results<3>(int32_t *buffer, const int32x4x2_t &values) |
| 622 | { |
| 623 | vst1_s32(buffer, vget_low_s32(values.val[0])); |
| 624 | } |
| 625 | |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 626 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 627 | /** Loads a 3x3 matrix as a row (float16_t). |
| 628 | * |
| 629 | * @param[in] ptr Pointer to a float 3x3 matrix. |
| 630 | * |
| 631 | * @return The loaded matrix. |
| 632 | */ |
Georgios Pinitas | 20c246a | 2018-09-12 16:45:53 +0100 | [diff] [blame] | 633 | inline float16x8x3_t load_matrix_row(const float16_t *ptr, int weights_offset = 0) |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 634 | { |
Georgios Pinitas | 20c246a | 2018-09-12 16:45:53 +0100 | [diff] [blame] | 635 | ARM_COMPUTE_UNUSED(weights_offset); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 636 | /* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes: |
| 637 | r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */ |
| 638 | const float16x8x3_t r = |
| 639 | { |
| 640 | { |
| 641 | vld1q_dup_f16(ptr), |
| 642 | vld1q_dup_f16(1 + ptr), |
| 643 | vld1q_dup_f16(2 + ptr) |
| 644 | } |
| 645 | }; |
| 646 | return r; |
| 647 | } |
| 648 | |
Usama Arif | 881f2de | 2019-04-12 10:29:17 +0100 | [diff] [blame^] | 649 | /** Perform a 3x3 convolution for 8 consecutive elements on float16 when dilation.x() or dilation.y() is not 1. |
| 650 | * |
| 651 | * @param[in] in_top Pointer to the first row of the input. |
| 652 | * @param[in] in_mid Pointer to the second row of the input. |
| 653 | * @param[in] in_low Pointer to the third row of the input. |
| 654 | * @param[in] m0 First row of the filter. |
| 655 | * @param[in] m1 Second row of the filter. |
| 656 | * @param[in] m2 Third row of the filter. |
| 657 | * @param[in] dilation_x Dilation, in elements across x. |
| 658 | * @param[in] input_offset (Optional)Input quantization offset. |
| 659 | * |
| 660 | */ |
| 661 | inline float16x8_t single_convolve_3x3_dilation(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, |
| 662 | const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, |
| 663 | const size_t dilation_x, int input_offset = 0) |
| 664 | { |
| 665 | ARM_COMPUTE_UNUSED(input_offset); |
| 666 | const float16x8x3_t vtop = |
| 667 | { |
| 668 | { |
| 669 | vld1q_f16(in_top), |
| 670 | vld1q_f16(in_top + dilation_x), |
| 671 | vld1q_f16(in_top + 2 * dilation_x) |
| 672 | } |
| 673 | }; |
| 674 | const float16x8x3_t vmid = |
| 675 | { |
| 676 | { |
| 677 | vld1q_f16(in_mid), |
| 678 | vld1q_f16(in_mid + dilation_x), |
| 679 | vld1q_f16(in_mid + 2 * dilation_x) |
| 680 | } |
| 681 | }; |
| 682 | const float16x8x3_t vlow = |
| 683 | { |
| 684 | { |
| 685 | vld1q_f16(in_low), |
| 686 | vld1q_f16(in_low + dilation_x), |
| 687 | vld1q_f16(in_low + 2 * dilation_x) |
| 688 | } |
| 689 | }; |
| 690 | float16x8_t out = vmulq_f16(vtop.val[0], m0.val[0]); |
| 691 | out = vaddq_f16(out, vmulq_f16(vtop.val[1], m0.val[1])); |
| 692 | out = vaddq_f16(out, vmulq_f16(vtop.val[2], m0.val[2])); |
| 693 | |
| 694 | out = vaddq_f16(out, vmulq_f16(vmid.val[0], m1.val[0])); |
| 695 | out = vaddq_f16(out, vmulq_f16(vmid.val[1], m1.val[1])); |
| 696 | out = vaddq_f16(out, vmulq_f16(vmid.val[2], m1.val[2])); |
| 697 | |
| 698 | out = vaddq_f16(out, vmulq_f16(vlow.val[0], m2.val[0])); |
| 699 | out = vaddq_f16(out, vmulq_f16(vlow.val[1], m2.val[1])); |
| 700 | out = vaddq_f16(out, vmulq_f16(vlow.val[2], m2.val[2])); |
| 701 | |
| 702 | return out; |
| 703 | } |
| 704 | |
| 705 | /** Perform a 3x3 convolution for 16 consecutive elements on float16 when dilation.x() or dilation.y() is not 1. |
| 706 | * |
| 707 | * @param[in] in_top Pointer to the first row of the input. |
| 708 | * @param[in] in_mid Pointer to the second row of the input. |
| 709 | * @param[in] in_low Pointer to the third row of the input. |
| 710 | * @param[in] m0 First row of the filter. |
| 711 | * @param[in] m1 Second row of the filter. |
| 712 | * @param[in] m2 Third row of the filter. |
| 713 | * @param[in] dilation_x Dilation, in elements across x. |
| 714 | * @param[in] input_offset (Optional)Input quantization offset. |
| 715 | * |
| 716 | */ |
| 717 | template <unsigned int stridex> |
| 718 | float16x8x2_t convolve_3x3_dilation(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, |
| 719 | const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, |
| 720 | const size_t dilation_x, int input_offset = 0); |
| 721 | |
| 722 | template <> |
| 723 | inline float16x8x2_t convolve_3x3_dilation<1>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, |
| 724 | const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, |
| 725 | const size_t dilation_x, int input_offset) |
| 726 | { |
| 727 | const float16x8x2_t out = |
| 728 | { |
| 729 | { |
| 730 | single_convolve_3x3_dilation(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset), |
| 731 | single_convolve_3x3_dilation(in_top + 8, in_mid + 8, in_low + 8, m0, m1, m2, dilation_x, input_offset) |
| 732 | } |
| 733 | }; |
| 734 | return out; |
| 735 | } |
| 736 | |
| 737 | template <> |
| 738 | inline float16x8x2_t convolve_3x3_dilation<2>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, |
| 739 | const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, |
| 740 | const size_t dilation_x, int input_offset) |
| 741 | { |
| 742 | ARM_COMPUTE_UNUSED(input_offset); |
| 743 | float16x8x2_t out = convolve_3x3_dilation<1>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset); |
| 744 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 2), out.val[0], 1); |
| 745 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 4), out.val[0], 2); |
| 746 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 6), out.val[0], 3); |
| 747 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 0), out.val[0], 4); |
| 748 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 2), out.val[0], 5); |
| 749 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 4), out.val[0], 6); |
| 750 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 6), out.val[0], 7); |
| 751 | return out; |
| 752 | } |
| 753 | |
| 754 | template <> |
| 755 | inline float16x8x2_t convolve_3x3_dilation<3>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, |
| 756 | const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, |
| 757 | const size_t dilation_x, int input_offset) |
| 758 | { |
| 759 | ARM_COMPUTE_UNUSED(input_offset); |
| 760 | float16x8x2_t out = convolve_3x3_dilation<1>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset); |
| 761 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 3), out.val[0], 1); |
| 762 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 6), out.val[0], 2); |
| 763 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 1), out.val[0], 3); |
| 764 | return out; |
| 765 | } |
| 766 | |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 767 | /** Perform a convolve3x3 on float16. |
| 768 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 769 | * @param[in] in_top Pointer to the first row of the input. |
| 770 | * @param[in] in_mid Pointer to the second row of the input. |
| 771 | * @param[in] in_low Pointer to the third row of the input. |
| 772 | * @param[in] m0 First row of the filter. |
| 773 | * @param[in] m1 Second row of the filter. |
| 774 | * @param[in] m2 Third row of the filter. |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 775 | * |
| 776 | */ |
| 777 | template <unsigned int stridex> |
Georgios Pinitas | 20c246a | 2018-09-12 16:45:53 +0100 | [diff] [blame] | 778 | float16x8x2_t convolve_3x3(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, |
| 779 | const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, |
| 780 | int input_offset = 0); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 781 | |
| 782 | template <> |
Georgios Pinitas | 20c246a | 2018-09-12 16:45:53 +0100 | [diff] [blame] | 783 | inline float16x8x2_t convolve_3x3<1>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, |
| 784 | const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, |
| 785 | int input_offset) |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 786 | { |
Georgios Pinitas | 20c246a | 2018-09-12 16:45:53 +0100 | [diff] [blame] | 787 | ARM_COMPUTE_UNUSED(input_offset); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 788 | const float16x8x3_t vtop = |
| 789 | { |
| 790 | { |
| 791 | vld1q_f16(in_top), |
| 792 | vld1q_f16(in_top + 8), |
| 793 | vld1q_f16(in_top + 16) |
| 794 | } |
| 795 | }; |
| 796 | const float16x8x3_t vmid = |
| 797 | { |
| 798 | { |
| 799 | vld1q_f16(in_mid), |
| 800 | vld1q_f16(in_mid + 8), |
| 801 | vld1q_f16(in_mid + 16) |
| 802 | } |
| 803 | }; |
| 804 | const float16x8x3_t vlow = |
| 805 | { |
| 806 | { |
| 807 | vld1q_f16(in_low), |
| 808 | vld1q_f16(in_low + 8), |
| 809 | vld1q_f16(in_low + 16) |
| 810 | } |
| 811 | }; |
| 812 | float16x8x2_t out = |
| 813 | { |
| 814 | { |
| 815 | vmulq_f16(vtop.val[0], m0.val[0]), |
| 816 | vmulq_f16(vtop.val[1], m0.val[0]) |
| 817 | } |
| 818 | }; |
| 819 | out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vtop.val[0], vtop.val[1], 1), m0.val[1])); |
| 820 | out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vtop.val[0], vtop.val[1], 2), m0.val[2])); |
| 821 | out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vmid.val[0], m1.val[0])); |
| 822 | out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vmid.val[0], vmid.val[1], 1), m1.val[1])); |
| 823 | out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vmid.val[0], vmid.val[1], 2), m1.val[2])); |
| 824 | out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vlow.val[0], m2.val[0])); |
| 825 | out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vlow.val[0], vlow.val[1], 1), m2.val[1])); |
| 826 | out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vlow.val[0], vlow.val[1], 2), m2.val[2])); |
| 827 | out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vtop.val[1], vtop.val[2], 1), m0.val[1])); |
| 828 | out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vtop.val[1], vtop.val[2], 2), m0.val[2])); |
| 829 | out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vmid.val[1], m1.val[0])); |
| 830 | out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vmid.val[1], vmid.val[2], 1), m1.val[1])); |
| 831 | out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vmid.val[1], vmid.val[2], 2), m1.val[2])); |
| 832 | out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vlow.val[1], m2.val[0])); |
| 833 | out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vlow.val[1], vlow.val[2], 1), m2.val[1])); |
| 834 | out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vlow.val[1], vlow.val[2], 2), m2.val[2])); |
| 835 | return out; |
| 836 | } |
| 837 | |
| 838 | template <> |
Georgios Pinitas | 20c246a | 2018-09-12 16:45:53 +0100 | [diff] [blame] | 839 | inline float16x8x2_t convolve_3x3<2>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, |
| 840 | const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, |
| 841 | int input_offset) |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 842 | { |
Georgios Pinitas | 20c246a | 2018-09-12 16:45:53 +0100 | [diff] [blame] | 843 | ARM_COMPUTE_UNUSED(input_offset); |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 844 | float16x8x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 845 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 2), out.val[0], 1); |
Gian Marco Iodice | 41acb76 | 2018-08-23 10:25:06 +0100 | [diff] [blame] | 846 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 4), out.val[0], 2); |
| 847 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 6), out.val[0], 3); |
| 848 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 0), out.val[0], 4); |
| 849 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 2), out.val[0], 5); |
| 850 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 4), out.val[0], 6); |
| 851 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 6), out.val[0], 7); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 852 | return out; |
| 853 | } |
| 854 | |
| 855 | template <> |
Georgios Pinitas | 20c246a | 2018-09-12 16:45:53 +0100 | [diff] [blame] | 856 | inline float16x8x2_t convolve_3x3<3>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, |
| 857 | const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, |
| 858 | int input_offset) |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 859 | { |
Georgios Pinitas | 20c246a | 2018-09-12 16:45:53 +0100 | [diff] [blame] | 860 | ARM_COMPUTE_UNUSED(input_offset); |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 861 | float16x8x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 862 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 3), out.val[0], 1); |
Gian Marco Iodice | 41acb76 | 2018-08-23 10:25:06 +0100 | [diff] [blame] | 863 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 6), out.val[0], 2); |
| 864 | out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 1), out.val[0], 3); |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 865 | return out; |
| 866 | } |
| 867 | |
| 868 | /** Stores a float16x8x2_t array into a memory location. |
| 869 | * |
| 870 | * @param[in] buffer Pointer to the memory location where the values will be stored. |
| 871 | * @param[in] values Values that will be stored. |
| 872 | * |
| 873 | */ |
| 874 | template <unsigned int stridex> |
| 875 | void store_results(float16_t *buffer, const float16x8x2_t &values); |
| 876 | |
| 877 | template <> |
| 878 | inline void store_results<1>(float16_t *buffer, const float16x8x2_t &values) |
| 879 | { |
| 880 | vst1q_f16(buffer, values.val[0]); |
| 881 | vst1q_f16(buffer + 8, values.val[1]); |
| 882 | } |
| 883 | |
| 884 | template <> |
| 885 | inline void store_results<2>(float16_t *buffer, const float16x8x2_t &values) |
| 886 | { |
| 887 | vst1q_f16(buffer, values.val[0]); |
| 888 | } |
| 889 | |
| 890 | template <> |
| 891 | inline void store_results<3>(float16_t *buffer, const float16x8x2_t &values) |
| 892 | { |
| 893 | vst1_f16(buffer, vget_low_f16(values.val[0])); |
| 894 | } |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 895 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 896 | |
| 897 | /** Get the number of elements processed on 3x3 convolution. |
| 898 | * |
| 899 | * @param[in] num_elems_written_per_iteration Number of elements written per iteration on 3x3 convolution. |
| 900 | * |
| 901 | * @return The number of elements processed. |
| 902 | */ |
| 903 | template <unsigned int stridex> |
| 904 | int get_input_num_elems_processed(unsigned int num_elems_written_per_iteration); |
| 905 | |
| 906 | template <> |
| 907 | inline int get_input_num_elems_processed<1>(unsigned int num_elems_written_per_iteration) |
| 908 | { |
| 909 | return num_elems_written_per_iteration; |
| 910 | } |
| 911 | |
| 912 | template <> |
| 913 | inline int get_input_num_elems_processed<2>(unsigned int num_elems_written_per_iteration) |
| 914 | { |
| 915 | return num_elems_written_per_iteration << 1; |
| 916 | } |
| 917 | |
| 918 | template <> |
| 919 | inline int get_input_num_elems_processed<3>(unsigned int num_elems_written_per_iteration) |
| 920 | { |
| 921 | return num_elems_written_per_iteration * 3; |
| 922 | } |
Anthony Barbier | 1568621 | 2017-12-12 17:17:50 +0000 | [diff] [blame] | 923 | inline int get_input_num_elems_processed(unsigned int num_elems_written_per_iteration, unsigned int stridex) |
| 924 | { |
| 925 | switch(stridex) |
| 926 | { |
| 927 | case 1: |
| 928 | return get_input_num_elems_processed<1>(num_elems_written_per_iteration); |
| 929 | case 2: |
| 930 | return get_input_num_elems_processed<2>(num_elems_written_per_iteration); |
| 931 | case 3: |
| 932 | return get_input_num_elems_processed<3>(num_elems_written_per_iteration); |
| 933 | default: |
| 934 | ARM_COMPUTE_ERROR("stridex not supported"); |
| 935 | return 0; |
| 936 | } |
| 937 | } |
Michalis Spyrou | 7362f0d | 2017-10-18 17:58:22 +0100 | [diff] [blame] | 938 | } |
| 939 | } // namespace arm_compute |
Anthony Barbier | 1568621 | 2017-12-12 17:17:50 +0000 | [diff] [blame] | 940 | #endif /* __ARM_COMPUTE_NEDIRECTCONVOLUTIONDETAIL_H__ */ |