/
DirectConvolver.cpp
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/
DirectConvolver.cpp
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/*
* 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)