| 1 | /* |
| 2 | * Copyright (C) 2012 Intel Inc. All rights reserved. |
| 3 | * |
| 4 | * Redistribution and use in source and binary forms, with or without |
| 5 | * modification, are permitted provided that the following conditions |
| 6 | * are met: |
| 7 | * |
| 8 | * 1. Redistributions of source code must retain the above copyright |
| 9 | * notice, this list of conditions and the following disclaimer. |
| 10 | * 2. Redistributions in binary form must reproduce the above copyright |
| 11 | * notice, this list of conditions and the following disclaimer in the |
| 12 | * documentation and/or other materials provided with the distribution. |
| 13 | * 3. Neither the name of Apple Inc. ("Apple") nor the names of |
| 14 | * its contributors may be used to endorse or promote products derived |
| 15 | * from this software without specific prior written permission. |
| 16 | * |
| 17 | * THIS SOFTWARE IS PROVIDED BY APPLE AND ITS CONTRIBUTORS "AS IS" AND ANY |
| 18 | * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED |
| 19 | * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE |
| 20 | * DISCLAIMED. IN NO EVENT SHALL APPLE OR ITS CONTRIBUTORS BE LIABLE FOR ANY |
| 21 | * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES |
| 22 | * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; |
| 23 | * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND |
| 24 | * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
| 25 | * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF |
| 26 | * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| 27 | */ |
| 28 | |
| 29 | #include "config.h" |
| 30 | |
| 31 | #if ENABLE(WEB_AUDIO) |
| 32 | |
| 33 | #include "DirectConvolver.h" |
| 34 | |
| 35 | #if OS(DARWIN) |
| 36 | #include <Accelerate/Accelerate.h> |
| 37 | #endif |
| 38 | |
| 39 | #include "VectorMath.h" |
| 40 | |
| 41 | namespace WebCore { |
| 42 | |
| 43 | using namespace VectorMath; |
| 44 | |
| 45 | DirectConvolver::DirectConvolver(size_t inputBlockSize) |
| 46 | : m_inputBlockSize(inputBlockSize) |
| 47 | , m_buffer(inputBlockSize * 2) |
| 48 | { |
| 49 | } |
| 50 | |
| 51 | void DirectConvolver::process(AudioFloatArray* convolutionKernel, const float* sourceP, float* destP, size_t framesToProcess) |
| 52 | { |
| 53 | ASSERT(framesToProcess == m_inputBlockSize); |
| 54 | if (framesToProcess != m_inputBlockSize) |
| 55 | return; |
| 56 | |
| 57 | // Only support kernelSize <= m_inputBlockSize |
| 58 | size_t kernelSize = convolutionKernel->size(); |
| 59 | ASSERT(kernelSize <= m_inputBlockSize); |
| 60 | if (kernelSize > m_inputBlockSize) |
| 61 | return; |
| 62 | |
| 63 | float* kernelP = convolutionKernel->data(); |
| 64 | |
| 65 | // Sanity check |
| 66 | bool isCopyGood = kernelP && sourceP && destP && m_buffer.data(); |
| 67 | ASSERT(isCopyGood); |
| 68 | if (!isCopyGood) |
| 69 | return; |
| 70 | |
| 71 | float* inputP = m_buffer.data() + m_inputBlockSize; |
| 72 | |
| 73 | // Copy samples to 2nd half of input buffer. |
| 74 | memcpy(inputP, sourceP, sizeof(float) * framesToProcess); |
| 75 | |
| 76 | #if USE(ACCELERATE) |
| 77 | vDSP_conv(inputP - kernelSize + 1, 1, kernelP + kernelSize - 1, -1, destP, 1, framesToProcess, kernelSize); |
| 78 | #else |
| 79 | // FIXME: The macro can be further optimized to avoid pipeline stalls. One possibility is to maintain 4 separate sums and change the macro to CONVOLVE_FOUR_SAMPLES. |
| 80 | #define CONVOLVE_ONE_SAMPLE \ |
| 81 | sum += inputP[i - j] * kernelP[j]; \ |
| 82 | j++; |
| 83 | |
| 84 | size_t i = 0; |
| 85 | while (i < framesToProcess) { |
| 86 | size_t j = 0; |
| 87 | float sum = 0; |
| 88 | |
| 89 | // FIXME: SSE optimization may be applied here. |
| 90 | if (kernelSize == 32) { |
| 91 | CONVOLVE_ONE_SAMPLE // 1 |
| 92 | CONVOLVE_ONE_SAMPLE // 2 |
| 93 | CONVOLVE_ONE_SAMPLE // 3 |
| 94 | CONVOLVE_ONE_SAMPLE // 4 |
| 95 | CONVOLVE_ONE_SAMPLE // 5 |
| 96 | CONVOLVE_ONE_SAMPLE // 6 |
| 97 | CONVOLVE_ONE_SAMPLE // 7 |
| 98 | CONVOLVE_ONE_SAMPLE // 8 |
| 99 | CONVOLVE_ONE_SAMPLE // 9 |
| 100 | CONVOLVE_ONE_SAMPLE // 10 |
| 101 | |
| 102 | CONVOLVE_ONE_SAMPLE // 11 |
| 103 | CONVOLVE_ONE_SAMPLE // 12 |
| 104 | CONVOLVE_ONE_SAMPLE // 13 |
| 105 | CONVOLVE_ONE_SAMPLE // 14 |
| 106 | CONVOLVE_ONE_SAMPLE // 15 |
| 107 | CONVOLVE_ONE_SAMPLE // 16 |
| 108 | CONVOLVE_ONE_SAMPLE // 17 |
| 109 | CONVOLVE_ONE_SAMPLE // 18 |
| 110 | CONVOLVE_ONE_SAMPLE // 19 |
| 111 | CONVOLVE_ONE_SAMPLE // 20 |
| 112 | |
| 113 | CONVOLVE_ONE_SAMPLE // 21 |
| 114 | CONVOLVE_ONE_SAMPLE // 22 |
| 115 | CONVOLVE_ONE_SAMPLE // 23 |
| 116 | CONVOLVE_ONE_SAMPLE // 24 |
| 117 | CONVOLVE_ONE_SAMPLE // 25 |
| 118 | CONVOLVE_ONE_SAMPLE // 26 |
| 119 | CONVOLVE_ONE_SAMPLE // 27 |
| 120 | CONVOLVE_ONE_SAMPLE // 28 |
| 121 | CONVOLVE_ONE_SAMPLE // 29 |
| 122 | CONVOLVE_ONE_SAMPLE // 30 |
| 123 | |
| 124 | CONVOLVE_ONE_SAMPLE // 31 |
| 125 | CONVOLVE_ONE_SAMPLE // 32 |
| 126 | |
| 127 | } else if (kernelSize == 64) { |
| 128 | CONVOLVE_ONE_SAMPLE // 1 |
| 129 | CONVOLVE_ONE_SAMPLE // 2 |
| 130 | CONVOLVE_ONE_SAMPLE // 3 |
| 131 | CONVOLVE_ONE_SAMPLE // 4 |
| 132 | CONVOLVE_ONE_SAMPLE // 5 |
| 133 | CONVOLVE_ONE_SAMPLE // 6 |
| 134 | CONVOLVE_ONE_SAMPLE // 7 |
| 135 | CONVOLVE_ONE_SAMPLE // 8 |
| 136 | CONVOLVE_ONE_SAMPLE // 9 |
| 137 | CONVOLVE_ONE_SAMPLE // 10 |
| 138 | |
| 139 | CONVOLVE_ONE_SAMPLE // 11 |
| 140 | CONVOLVE_ONE_SAMPLE // 12 |
| 141 | CONVOLVE_ONE_SAMPLE // 13 |
| 142 | CONVOLVE_ONE_SAMPLE // 14 |
| 143 | CONVOLVE_ONE_SAMPLE // 15 |
| 144 | CONVOLVE_ONE_SAMPLE // 16 |
| 145 | CONVOLVE_ONE_SAMPLE // 17 |
| 146 | CONVOLVE_ONE_SAMPLE // 18 |
| 147 | CONVOLVE_ONE_SAMPLE // 19 |
| 148 | CONVOLVE_ONE_SAMPLE // 20 |
| 149 | |
| 150 | CONVOLVE_ONE_SAMPLE // 21 |
| 151 | CONVOLVE_ONE_SAMPLE // 22 |
| 152 | CONVOLVE_ONE_SAMPLE // 23 |
| 153 | CONVOLVE_ONE_SAMPLE // 24 |
| 154 | CONVOLVE_ONE_SAMPLE // 25 |
| 155 | CONVOLVE_ONE_SAMPLE // 26 |
| 156 | CONVOLVE_ONE_SAMPLE // 27 |
| 157 | CONVOLVE_ONE_SAMPLE // 28 |
| 158 | CONVOLVE_ONE_SAMPLE // 29 |
| 159 | CONVOLVE_ONE_SAMPLE // 30 |
| 160 | |
| 161 | CONVOLVE_ONE_SAMPLE // 31 |
| 162 | CONVOLVE_ONE_SAMPLE // 32 |
| 163 | CONVOLVE_ONE_SAMPLE // 33 |
| 164 | CONVOLVE_ONE_SAMPLE // 34 |
| 165 | CONVOLVE_ONE_SAMPLE // 35 |
| 166 | CONVOLVE_ONE_SAMPLE // 36 |
| 167 | CONVOLVE_ONE_SAMPLE // 37 |
| 168 | CONVOLVE_ONE_SAMPLE // 38 |
| 169 | CONVOLVE_ONE_SAMPLE // 39 |
| 170 | CONVOLVE_ONE_SAMPLE // 40 |
| 171 | |
| 172 | CONVOLVE_ONE_SAMPLE // 41 |
| 173 | CONVOLVE_ONE_SAMPLE // 42 |
| 174 | CONVOLVE_ONE_SAMPLE // 43 |
| 175 | CONVOLVE_ONE_SAMPLE // 44 |
| 176 | CONVOLVE_ONE_SAMPLE // 45 |
| 177 | CONVOLVE_ONE_SAMPLE // 46 |
| 178 | CONVOLVE_ONE_SAMPLE // 47 |
| 179 | CONVOLVE_ONE_SAMPLE // 48 |
| 180 | CONVOLVE_ONE_SAMPLE // 49 |
| 181 | CONVOLVE_ONE_SAMPLE // 50 |
| 182 | |
| 183 | CONVOLVE_ONE_SAMPLE // 51 |
| 184 | CONVOLVE_ONE_SAMPLE // 52 |
| 185 | CONVOLVE_ONE_SAMPLE // 53 |
| 186 | CONVOLVE_ONE_SAMPLE // 54 |
| 187 | CONVOLVE_ONE_SAMPLE // 55 |
| 188 | CONVOLVE_ONE_SAMPLE // 56 |
| 189 | CONVOLVE_ONE_SAMPLE // 57 |
| 190 | CONVOLVE_ONE_SAMPLE // 58 |
| 191 | CONVOLVE_ONE_SAMPLE // 59 |
| 192 | CONVOLVE_ONE_SAMPLE // 60 |
| 193 | |
| 194 | CONVOLVE_ONE_SAMPLE // 61 |
| 195 | CONVOLVE_ONE_SAMPLE // 62 |
| 196 | CONVOLVE_ONE_SAMPLE // 63 |
| 197 | CONVOLVE_ONE_SAMPLE // 64 |
| 198 | |
| 199 | } else if (kernelSize == 128) { |
| 200 | CONVOLVE_ONE_SAMPLE // 1 |
| 201 | CONVOLVE_ONE_SAMPLE // 2 |
| 202 | CONVOLVE_ONE_SAMPLE // 3 |
| 203 | CONVOLVE_ONE_SAMPLE // 4 |
| 204 | CONVOLVE_ONE_SAMPLE // 5 |
| 205 | CONVOLVE_ONE_SAMPLE // 6 |
| 206 | CONVOLVE_ONE_SAMPLE // 7 |
| 207 | CONVOLVE_ONE_SAMPLE // 8 |
| 208 | CONVOLVE_ONE_SAMPLE // 9 |
| 209 | CONVOLVE_ONE_SAMPLE // 10 |
| 210 | |
| 211 | CONVOLVE_ONE_SAMPLE // 11 |
| 212 | CONVOLVE_ONE_SAMPLE // 12 |
| 213 | CONVOLVE_ONE_SAMPLE // 13 |
| 214 | CONVOLVE_ONE_SAMPLE // 14 |
| 215 | CONVOLVE_ONE_SAMPLE // 15 |
| 216 | CONVOLVE_ONE_SAMPLE // 16 |
| 217 | CONVOLVE_ONE_SAMPLE // 17 |
| 218 | CONVOLVE_ONE_SAMPLE // 18 |
| 219 | CONVOLVE_ONE_SAMPLE // 19 |
| 220 | CONVOLVE_ONE_SAMPLE // 20 |
| 221 | |
| 222 | CONVOLVE_ONE_SAMPLE // 21 |
| 223 | CONVOLVE_ONE_SAMPLE // 22 |
| 224 | CONVOLVE_ONE_SAMPLE // 23 |
| 225 | CONVOLVE_ONE_SAMPLE // 24 |
| 226 | CONVOLVE_ONE_SAMPLE // 25 |
| 227 | CONVOLVE_ONE_SAMPLE // 26 |
| 228 | CONVOLVE_ONE_SAMPLE // 27 |
| 229 | CONVOLVE_ONE_SAMPLE // 28 |
| 230 | CONVOLVE_ONE_SAMPLE // 29 |
| 231 | CONVOLVE_ONE_SAMPLE // 30 |
| 232 | |
| 233 | CONVOLVE_ONE_SAMPLE // 31 |
| 234 | CONVOLVE_ONE_SAMPLE // 32 |
| 235 | CONVOLVE_ONE_SAMPLE // 33 |
| 236 | CONVOLVE_ONE_SAMPLE // 34 |
| 237 | CONVOLVE_ONE_SAMPLE // 35 |
| 238 | CONVOLVE_ONE_SAMPLE // 36 |
| 239 | CONVOLVE_ONE_SAMPLE // 37 |
| 240 | CONVOLVE_ONE_SAMPLE // 38 |
| 241 | CONVOLVE_ONE_SAMPLE // 39 |
| 242 | CONVOLVE_ONE_SAMPLE // 40 |
| 243 | |
| 244 | CONVOLVE_ONE_SAMPLE // 41 |
| 245 | CONVOLVE_ONE_SAMPLE // 42 |
| 246 | CONVOLVE_ONE_SAMPLE // 43 |
| 247 | CONVOLVE_ONE_SAMPLE // 44 |
| 248 | CONVOLVE_ONE_SAMPLE // 45 |
| 249 | CONVOLVE_ONE_SAMPLE // 46 |
| 250 | CONVOLVE_ONE_SAMPLE // 47 |
| 251 | CONVOLVE_ONE_SAMPLE // 48 |
| 252 | CONVOLVE_ONE_SAMPLE // 49 |
| 253 | CONVOLVE_ONE_SAMPLE // 50 |
| 254 | |
| 255 | CONVOLVE_ONE_SAMPLE // 51 |
| 256 | CONVOLVE_ONE_SAMPLE // 52 |
| 257 | CONVOLVE_ONE_SAMPLE // 53 |
| 258 | CONVOLVE_ONE_SAMPLE // 54 |
| 259 | CONVOLVE_ONE_SAMPLE // 55 |
| 260 | CONVOLVE_ONE_SAMPLE // 56 |
| 261 | CONVOLVE_ONE_SAMPLE // 57 |
| 262 | CONVOLVE_ONE_SAMPLE // 58 |
| 263 | CONVOLVE_ONE_SAMPLE // 59 |
| 264 | CONVOLVE_ONE_SAMPLE // 60 |
| 265 | |
| 266 | CONVOLVE_ONE_SAMPLE // 61 |
| 267 | CONVOLVE_ONE_SAMPLE // 62 |
| 268 | CONVOLVE_ONE_SAMPLE // 63 |
| 269 | CONVOLVE_ONE_SAMPLE // 64 |
| 270 | CONVOLVE_ONE_SAMPLE // 65 |
| 271 | CONVOLVE_ONE_SAMPLE // 66 |
| 272 | CONVOLVE_ONE_SAMPLE // 67 |
| 273 | CONVOLVE_ONE_SAMPLE // 68 |
| 274 | CONVOLVE_ONE_SAMPLE // 69 |
| 275 | CONVOLVE_ONE_SAMPLE // 70 |
| 276 | |
| 277 | CONVOLVE_ONE_SAMPLE // 71 |
| 278 | CONVOLVE_ONE_SAMPLE // 72 |
| 279 | CONVOLVE_ONE_SAMPLE // 73 |
| 280 | CONVOLVE_ONE_SAMPLE // 74 |
| 281 | CONVOLVE_ONE_SAMPLE // 75 |
| 282 | CONVOLVE_ONE_SAMPLE // 76 |
| 283 | CONVOLVE_ONE_SAMPLE // 77 |
| 284 | CONVOLVE_ONE_SAMPLE // 78 |
| 285 | CONVOLVE_ONE_SAMPLE // 79 |
| 286 | CONVOLVE_ONE_SAMPLE // 80 |
| 287 | |
| 288 | CONVOLVE_ONE_SAMPLE // 81 |
| 289 | CONVOLVE_ONE_SAMPLE // 82 |
| 290 | CONVOLVE_ONE_SAMPLE // 83 |
| 291 | CONVOLVE_ONE_SAMPLE // 84 |
| 292 | CONVOLVE_ONE_SAMPLE // 85 |
| 293 | CONVOLVE_ONE_SAMPLE // 86 |
| 294 | CONVOLVE_ONE_SAMPLE // 87 |
| 295 | CONVOLVE_ONE_SAMPLE // 88 |
| 296 | CONVOLVE_ONE_SAMPLE // 89 |
| 297 | CONVOLVE_ONE_SAMPLE // 90 |
| 298 | |
| 299 | CONVOLVE_ONE_SAMPLE // 91 |
| 300 | CONVOLVE_ONE_SAMPLE // 92 |
| 301 | CONVOLVE_ONE_SAMPLE // 93 |
| 302 | CONVOLVE_ONE_SAMPLE // 94 |
| 303 | CONVOLVE_ONE_SAMPLE // 95 |
| 304 | CONVOLVE_ONE_SAMPLE // 96 |
| 305 | CONVOLVE_ONE_SAMPLE // 97 |
| 306 | CONVOLVE_ONE_SAMPLE // 98 |
| 307 | CONVOLVE_ONE_SAMPLE // 99 |
| 308 | CONVOLVE_ONE_SAMPLE // 100 |
| 309 | |
| 310 | CONVOLVE_ONE_SAMPLE // 101 |
| 311 | CONVOLVE_ONE_SAMPLE // 102 |
| 312 | CONVOLVE_ONE_SAMPLE // 103 |
| 313 | CONVOLVE_ONE_SAMPLE // 104 |
| 314 | CONVOLVE_ONE_SAMPLE // 105 |
| 315 | CONVOLVE_ONE_SAMPLE // 106 |
| 316 | CONVOLVE_ONE_SAMPLE // 107 |
| 317 | CONVOLVE_ONE_SAMPLE // 108 |
| 318 | CONVOLVE_ONE_SAMPLE // 109 |
| 319 | CONVOLVE_ONE_SAMPLE // 110 |
| 320 | |
| 321 | CONVOLVE_ONE_SAMPLE // 111 |
| 322 | CONVOLVE_ONE_SAMPLE // 112 |
| 323 | CONVOLVE_ONE_SAMPLE // 113 |
| 324 | CONVOLVE_ONE_SAMPLE // 114 |
| 325 | CONVOLVE_ONE_SAMPLE // 115 |
| 326 | CONVOLVE_ONE_SAMPLE // 116 |
| 327 | CONVOLVE_ONE_SAMPLE // 117 |
| 328 | CONVOLVE_ONE_SAMPLE // 118 |
| 329 | CONVOLVE_ONE_SAMPLE // 119 |
| 330 | CONVOLVE_ONE_SAMPLE // 120 |
| 331 | |
| 332 | CONVOLVE_ONE_SAMPLE // 121 |
| 333 | CONVOLVE_ONE_SAMPLE // 122 |
| 334 | CONVOLVE_ONE_SAMPLE // 123 |
| 335 | CONVOLVE_ONE_SAMPLE // 124 |
| 336 | CONVOLVE_ONE_SAMPLE // 125 |
| 337 | CONVOLVE_ONE_SAMPLE // 126 |
| 338 | CONVOLVE_ONE_SAMPLE // 127 |
| 339 | CONVOLVE_ONE_SAMPLE // 128 |
| 340 | } else { |
| 341 | while (j < kernelSize) { |
| 342 | // Non-optimized using actual while loop. |
| 343 | CONVOLVE_ONE_SAMPLE |
| 344 | } |
| 345 | } |
| 346 | destP[i++] = sum; |
| 347 | } |
| 348 | #endif // USE(ACCELERATE) |
| 349 | |
| 350 | // Copy 2nd half of input buffer to 1st half. |
| 351 | memcpy(m_buffer.data(), inputP, sizeof(float) * framesToProcess); |
| 352 | } |
| 353 | |
| 354 | void DirectConvolver::reset() |
| 355 | { |
| 356 | m_buffer.zero(); |
| 357 | } |
| 358 | |
| 359 | } // namespace WebCore |
| 360 | |
| 361 | #endif // ENABLE(WEB_AUDIO) |
| 362 | |