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