| /* |
| * Copyright (C) 2012 Intel Inc. All rights reserved. |
| * |
| * Redistribution and use in source and binary forms, with or without |
| * modification, are permitted provided that the following conditions |
| * are met: |
| * |
| * 1. Redistributions of source code must retain the above copyright |
| * notice, this list of conditions and the following disclaimer. |
| * 2. Redistributions in binary form must reproduce the above copyright |
| * notice, this list of conditions and the following disclaimer in the |
| * documentation and/or other materials provided with the distribution. |
| * 3. Neither the name of Apple Inc. ("Apple") nor the names of |
| * its contributors may be used to endorse or promote products derived |
| * from this software without specific prior written permission. |
| * |
| * THIS SOFTWARE IS PROVIDED BY APPLE AND ITS CONTRIBUTORS "AS IS" AND ANY |
| * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED |
| * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE |
| * DISCLAIMED. IN NO EVENT SHALL APPLE OR ITS CONTRIBUTORS BE LIABLE FOR ANY |
| * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES |
| * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; |
| * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND |
| * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
| * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF |
| * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| */ |
| |
| #include "config.h" |
| |
| #if ENABLE(WEB_AUDIO) |
| |
| #include "DirectConvolver.h" |
| |
| #if OS(DARWIN) |
| #include <Accelerate/Accelerate.h> |
| #endif |
| |
| #include "VectorMath.h" |
| |
| namespace WebCore { |
| |
| using namespace VectorMath; |
| |
| DirectConvolver::DirectConvolver(size_t inputBlockSize) |
| : m_inputBlockSize(inputBlockSize) |
| , m_buffer(inputBlockSize * 2) |
| { |
| } |
| |
| void DirectConvolver::process(AudioFloatArray* convolutionKernel, const float* sourceP, float* destP, size_t framesToProcess) |
| { |
| ASSERT(framesToProcess == m_inputBlockSize); |
| if (framesToProcess != m_inputBlockSize) |
| return; |
| |
| // Only support kernelSize <= m_inputBlockSize |
| size_t kernelSize = convolutionKernel->size(); |
| ASSERT(kernelSize <= m_inputBlockSize); |
| if (kernelSize > m_inputBlockSize) |
| return; |
| |
| float* kernelP = convolutionKernel->data(); |
| |
| // Sanity check |
| bool isCopyGood = kernelP && sourceP && destP && m_buffer.data(); |
| ASSERT(isCopyGood); |
| if (!isCopyGood) |
| return; |
| |
| float* inputP = m_buffer.data() + m_inputBlockSize; |
| |
| // Copy samples to 2nd half of input buffer. |
| memcpy(inputP, sourceP, sizeof(float) * framesToProcess); |
| |
| #if USE(ACCELERATE) |
| vDSP_conv(inputP - kernelSize + 1, 1, kernelP + kernelSize - 1, -1, destP, 1, framesToProcess, kernelSize); |
| #else |
| // 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. |
| #define CONVOLVE_ONE_SAMPLE \ |
| sum += inputP[i - j] * kernelP[j]; \ |
| j++; |
| |
| size_t i = 0; |
| while (i < framesToProcess) { |
| size_t j = 0; |
| float sum = 0; |
| |
| // FIXME: SSE optimization may be applied here. |
| if (kernelSize == 32) { |
| CONVOLVE_ONE_SAMPLE // 1 |
| CONVOLVE_ONE_SAMPLE // 2 |
| CONVOLVE_ONE_SAMPLE // 3 |
| CONVOLVE_ONE_SAMPLE // 4 |
| CONVOLVE_ONE_SAMPLE // 5 |
| CONVOLVE_ONE_SAMPLE // 6 |
| CONVOLVE_ONE_SAMPLE // 7 |
| CONVOLVE_ONE_SAMPLE // 8 |
| CONVOLVE_ONE_SAMPLE // 9 |
| CONVOLVE_ONE_SAMPLE // 10 |
| |
| CONVOLVE_ONE_SAMPLE // 11 |
| CONVOLVE_ONE_SAMPLE // 12 |
| CONVOLVE_ONE_SAMPLE // 13 |
| CONVOLVE_ONE_SAMPLE // 14 |
| CONVOLVE_ONE_SAMPLE // 15 |
| CONVOLVE_ONE_SAMPLE // 16 |
| CONVOLVE_ONE_SAMPLE // 17 |
| CONVOLVE_ONE_SAMPLE // 18 |
| CONVOLVE_ONE_SAMPLE // 19 |
| CONVOLVE_ONE_SAMPLE // 20 |
| |
| CONVOLVE_ONE_SAMPLE // 21 |
| CONVOLVE_ONE_SAMPLE // 22 |
| CONVOLVE_ONE_SAMPLE // 23 |
| CONVOLVE_ONE_SAMPLE // 24 |
| CONVOLVE_ONE_SAMPLE // 25 |
| CONVOLVE_ONE_SAMPLE // 26 |
| CONVOLVE_ONE_SAMPLE // 27 |
| CONVOLVE_ONE_SAMPLE // 28 |
| CONVOLVE_ONE_SAMPLE // 29 |
| CONVOLVE_ONE_SAMPLE // 30 |
| |
| CONVOLVE_ONE_SAMPLE // 31 |
| CONVOLVE_ONE_SAMPLE // 32 |
| |
| } else if (kernelSize == 64) { |
| CONVOLVE_ONE_SAMPLE // 1 |
| CONVOLVE_ONE_SAMPLE // 2 |
| CONVOLVE_ONE_SAMPLE // 3 |
| CONVOLVE_ONE_SAMPLE // 4 |
| CONVOLVE_ONE_SAMPLE // 5 |
| CONVOLVE_ONE_SAMPLE // 6 |
| CONVOLVE_ONE_SAMPLE // 7 |
| CONVOLVE_ONE_SAMPLE // 8 |
| CONVOLVE_ONE_SAMPLE // 9 |
| CONVOLVE_ONE_SAMPLE // 10 |
| |
| CONVOLVE_ONE_SAMPLE // 11 |
| CONVOLVE_ONE_SAMPLE // 12 |
| CONVOLVE_ONE_SAMPLE // 13 |
| CONVOLVE_ONE_SAMPLE // 14 |
| CONVOLVE_ONE_SAMPLE // 15 |
| CONVOLVE_ONE_SAMPLE // 16 |
| CONVOLVE_ONE_SAMPLE // 17 |
| CONVOLVE_ONE_SAMPLE // 18 |
| CONVOLVE_ONE_SAMPLE // 19 |
| CONVOLVE_ONE_SAMPLE // 20 |
| |
| CONVOLVE_ONE_SAMPLE // 21 |
| CONVOLVE_ONE_SAMPLE // 22 |
| CONVOLVE_ONE_SAMPLE // 23 |
| CONVOLVE_ONE_SAMPLE // 24 |
| CONVOLVE_ONE_SAMPLE // 25 |
| CONVOLVE_ONE_SAMPLE // 26 |
| CONVOLVE_ONE_SAMPLE // 27 |
| CONVOLVE_ONE_SAMPLE // 28 |
| CONVOLVE_ONE_SAMPLE // 29 |
| CONVOLVE_ONE_SAMPLE // 30 |
| |
| CONVOLVE_ONE_SAMPLE // 31 |
| CONVOLVE_ONE_SAMPLE // 32 |
| CONVOLVE_ONE_SAMPLE // 33 |
| CONVOLVE_ONE_SAMPLE // 34 |
| CONVOLVE_ONE_SAMPLE // 35 |
| CONVOLVE_ONE_SAMPLE // 36 |
| CONVOLVE_ONE_SAMPLE // 37 |
| CONVOLVE_ONE_SAMPLE // 38 |
| CONVOLVE_ONE_SAMPLE // 39 |
| CONVOLVE_ONE_SAMPLE // 40 |
| |
| CONVOLVE_ONE_SAMPLE // 41 |
| CONVOLVE_ONE_SAMPLE // 42 |
| CONVOLVE_ONE_SAMPLE // 43 |
| CONVOLVE_ONE_SAMPLE // 44 |
| CONVOLVE_ONE_SAMPLE // 45 |
| CONVOLVE_ONE_SAMPLE // 46 |
| CONVOLVE_ONE_SAMPLE // 47 |
| CONVOLVE_ONE_SAMPLE // 48 |
| CONVOLVE_ONE_SAMPLE // 49 |
| CONVOLVE_ONE_SAMPLE // 50 |
| |
| CONVOLVE_ONE_SAMPLE // 51 |
| CONVOLVE_ONE_SAMPLE // 52 |
| CONVOLVE_ONE_SAMPLE // 53 |
| CONVOLVE_ONE_SAMPLE // 54 |
| CONVOLVE_ONE_SAMPLE // 55 |
| CONVOLVE_ONE_SAMPLE // 56 |
| CONVOLVE_ONE_SAMPLE // 57 |
| CONVOLVE_ONE_SAMPLE // 58 |
| CONVOLVE_ONE_SAMPLE // 59 |
| CONVOLVE_ONE_SAMPLE // 60 |
| |
| CONVOLVE_ONE_SAMPLE // 61 |
| CONVOLVE_ONE_SAMPLE // 62 |
| CONVOLVE_ONE_SAMPLE // 63 |
| CONVOLVE_ONE_SAMPLE // 64 |
| |
| } else if (kernelSize == 128) { |
| CONVOLVE_ONE_SAMPLE // 1 |
| CONVOLVE_ONE_SAMPLE // 2 |
| CONVOLVE_ONE_SAMPLE // 3 |
| CONVOLVE_ONE_SAMPLE // 4 |
| CONVOLVE_ONE_SAMPLE // 5 |
| CONVOLVE_ONE_SAMPLE // 6 |
| CONVOLVE_ONE_SAMPLE // 7 |
| CONVOLVE_ONE_SAMPLE // 8 |
| CONVOLVE_ONE_SAMPLE // 9 |
| CONVOLVE_ONE_SAMPLE // 10 |
| |
| CONVOLVE_ONE_SAMPLE // 11 |
| CONVOLVE_ONE_SAMPLE // 12 |
| CONVOLVE_ONE_SAMPLE // 13 |
| CONVOLVE_ONE_SAMPLE // 14 |
| CONVOLVE_ONE_SAMPLE // 15 |
| CONVOLVE_ONE_SAMPLE // 16 |
| CONVOLVE_ONE_SAMPLE // 17 |
| CONVOLVE_ONE_SAMPLE // 18 |
| CONVOLVE_ONE_SAMPLE // 19 |
| CONVOLVE_ONE_SAMPLE // 20 |
| |
| CONVOLVE_ONE_SAMPLE // 21 |
| CONVOLVE_ONE_SAMPLE // 22 |
| CONVOLVE_ONE_SAMPLE // 23 |
| CONVOLVE_ONE_SAMPLE // 24 |
| CONVOLVE_ONE_SAMPLE // 25 |
| CONVOLVE_ONE_SAMPLE // 26 |
| CONVOLVE_ONE_SAMPLE // 27 |
| CONVOLVE_ONE_SAMPLE // 28 |
| CONVOLVE_ONE_SAMPLE // 29 |
| CONVOLVE_ONE_SAMPLE // 30 |
| |
| CONVOLVE_ONE_SAMPLE // 31 |
| CONVOLVE_ONE_SAMPLE // 32 |
| CONVOLVE_ONE_SAMPLE // 33 |
| CONVOLVE_ONE_SAMPLE // 34 |
| CONVOLVE_ONE_SAMPLE // 35 |
| CONVOLVE_ONE_SAMPLE // 36 |
| CONVOLVE_ONE_SAMPLE // 37 |
| CONVOLVE_ONE_SAMPLE // 38 |
| CONVOLVE_ONE_SAMPLE // 39 |
| CONVOLVE_ONE_SAMPLE // 40 |
| |
| CONVOLVE_ONE_SAMPLE // 41 |
| CONVOLVE_ONE_SAMPLE // 42 |
| CONVOLVE_ONE_SAMPLE // 43 |
| CONVOLVE_ONE_SAMPLE // 44 |
| CONVOLVE_ONE_SAMPLE // 45 |
| CONVOLVE_ONE_SAMPLE // 46 |
| CONVOLVE_ONE_SAMPLE // 47 |
| CONVOLVE_ONE_SAMPLE // 48 |
| CONVOLVE_ONE_SAMPLE // 49 |
| CONVOLVE_ONE_SAMPLE // 50 |
| |
| CONVOLVE_ONE_SAMPLE // 51 |
| CONVOLVE_ONE_SAMPLE // 52 |
| CONVOLVE_ONE_SAMPLE // 53 |
| CONVOLVE_ONE_SAMPLE // 54 |
| CONVOLVE_ONE_SAMPLE // 55 |
| CONVOLVE_ONE_SAMPLE // 56 |
| CONVOLVE_ONE_SAMPLE // 57 |
| CONVOLVE_ONE_SAMPLE // 58 |
| CONVOLVE_ONE_SAMPLE // 59 |
| CONVOLVE_ONE_SAMPLE // 60 |
| |
| CONVOLVE_ONE_SAMPLE // 61 |
| CONVOLVE_ONE_SAMPLE // 62 |
| CONVOLVE_ONE_SAMPLE // 63 |
| CONVOLVE_ONE_SAMPLE // 64 |
| CONVOLVE_ONE_SAMPLE // 65 |
| CONVOLVE_ONE_SAMPLE // 66 |
| CONVOLVE_ONE_SAMPLE // 67 |
| CONVOLVE_ONE_SAMPLE // 68 |
| CONVOLVE_ONE_SAMPLE // 69 |
| CONVOLVE_ONE_SAMPLE // 70 |
| |
| CONVOLVE_ONE_SAMPLE // 71 |
| CONVOLVE_ONE_SAMPLE // 72 |
| CONVOLVE_ONE_SAMPLE // 73 |
| CONVOLVE_ONE_SAMPLE // 74 |
| CONVOLVE_ONE_SAMPLE // 75 |
| CONVOLVE_ONE_SAMPLE // 76 |
| CONVOLVE_ONE_SAMPLE // 77 |
| CONVOLVE_ONE_SAMPLE // 78 |
| CONVOLVE_ONE_SAMPLE // 79 |
| CONVOLVE_ONE_SAMPLE // 80 |
| |
| CONVOLVE_ONE_SAMPLE // 81 |
| CONVOLVE_ONE_SAMPLE // 82 |
| CONVOLVE_ONE_SAMPLE // 83 |
| CONVOLVE_ONE_SAMPLE // 84 |
| CONVOLVE_ONE_SAMPLE // 85 |
| CONVOLVE_ONE_SAMPLE // 86 |
| CONVOLVE_ONE_SAMPLE // 87 |
| CONVOLVE_ONE_SAMPLE // 88 |
| CONVOLVE_ONE_SAMPLE // 89 |
| CONVOLVE_ONE_SAMPLE // 90 |
| |
| CONVOLVE_ONE_SAMPLE // 91 |
| CONVOLVE_ONE_SAMPLE // 92 |
| CONVOLVE_ONE_SAMPLE // 93 |
| CONVOLVE_ONE_SAMPLE // 94 |
| CONVOLVE_ONE_SAMPLE // 95 |
| CONVOLVE_ONE_SAMPLE // 96 |
| CONVOLVE_ONE_SAMPLE // 97 |
| CONVOLVE_ONE_SAMPLE // 98 |
| CONVOLVE_ONE_SAMPLE // 99 |
| CONVOLVE_ONE_SAMPLE // 100 |
| |
| CONVOLVE_ONE_SAMPLE // 101 |
| CONVOLVE_ONE_SAMPLE // 102 |
| CONVOLVE_ONE_SAMPLE // 103 |
| CONVOLVE_ONE_SAMPLE // 104 |
| CONVOLVE_ONE_SAMPLE // 105 |
| CONVOLVE_ONE_SAMPLE // 106 |
| CONVOLVE_ONE_SAMPLE // 107 |
| CONVOLVE_ONE_SAMPLE // 108 |
| CONVOLVE_ONE_SAMPLE // 109 |
| CONVOLVE_ONE_SAMPLE // 110 |
| |
| CONVOLVE_ONE_SAMPLE // 111 |
| CONVOLVE_ONE_SAMPLE // 112 |
| CONVOLVE_ONE_SAMPLE // 113 |
| CONVOLVE_ONE_SAMPLE // 114 |
| CONVOLVE_ONE_SAMPLE // 115 |
| CONVOLVE_ONE_SAMPLE // 116 |
| CONVOLVE_ONE_SAMPLE // 117 |
| CONVOLVE_ONE_SAMPLE // 118 |
| CONVOLVE_ONE_SAMPLE // 119 |
| CONVOLVE_ONE_SAMPLE // 120 |
| |
| CONVOLVE_ONE_SAMPLE // 121 |
| CONVOLVE_ONE_SAMPLE // 122 |
| CONVOLVE_ONE_SAMPLE // 123 |
| CONVOLVE_ONE_SAMPLE // 124 |
| CONVOLVE_ONE_SAMPLE // 125 |
| CONVOLVE_ONE_SAMPLE // 126 |
| CONVOLVE_ONE_SAMPLE // 127 |
| CONVOLVE_ONE_SAMPLE // 128 |
| } else { |
| while (j < kernelSize) { |
| // Non-optimized using actual while loop. |
| CONVOLVE_ONE_SAMPLE |
| } |
| } |
| destP[i++] = sum; |
| } |
| #endif // USE(ACCELERATE) |
| |
| // Copy 2nd half of input buffer to 1st half. |
| memcpy(m_buffer.data(), inputP, sizeof(float) * framesToProcess); |
| } |
| |
| void DirectConvolver::reset() |
| { |
| m_buffer.zero(); |
| } |
| |
| } // namespace WebCore |
| |
| #endif // ENABLE(WEB_AUDIO) |
