diff options
author | Chris Robinson <[email protected]> | 2021-01-24 02:07:39 -0800 |
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committer | Chris Robinson <[email protected]> | 2021-01-24 02:07:39 -0800 |
commit | 13c1d7efb7141aee93d32a60c0e609e61a64f550 (patch) | |
tree | c788c53507811f8adb8a33ee668c014f66d9b8fa /alc/effects/convolution.cpp | |
parent | 3142fb30eaa451c955a1607b8cffe2069cbd15b2 (diff) |
Store buffer info in the queue entry
Diffstat (limited to 'alc/effects/convolution.cpp')
-rw-r--r-- | alc/effects/convolution.cpp | 40 |
1 files changed, 20 insertions, 20 deletions
diff --git a/alc/effects/convolution.cpp b/alc/effects/convolution.cpp index 2dec0dc6..22311bbb 100644 --- a/alc/effects/convolution.cpp +++ b/alc/effects/convolution.cpp @@ -190,7 +190,7 @@ struct ConvolutionState final : public EffectState { void (ConvolutionState::*mMix)(const al::span<FloatBufferLine>,const size_t) {&ConvolutionState::NormalMix}; - void deviceUpdate(const ALCdevice *device, const BufferStorage *buffer) override; + void deviceUpdate(const ALCdevice *device, const Buffer &buffer) override; void update(const ALCcontext *context, const EffectSlot *slot, const EffectProps *props, const EffectTarget target) override; void process(const size_t samplesToDo, const al::span<const FloatBufferLine> samplesIn, @@ -219,7 +219,7 @@ void ConvolutionState::UpsampleMix(const al::span<FloatBufferLine> samplesOut, } -void ConvolutionState::deviceUpdate(const ALCdevice *device, const BufferStorage *buffer) +void ConvolutionState::deviceUpdate(const ALCdevice *device, const Buffer &buffer) { constexpr uint MaxConvolveAmbiOrder{1u}; @@ -236,13 +236,13 @@ void ConvolutionState::deviceUpdate(const ALCdevice *device, const BufferStorage mComplexData = nullptr; /* An empty buffer doesn't need a convolution filter. */ - if(!buffer || buffer->mSampleLen < 1) return; + if(!buffer.storage || buffer.storage->mSampleLen < 1) return; constexpr size_t m{ConvolveUpdateSize/2 + 1}; - auto bytesPerSample = BytesFromFmt(buffer->mType); - auto realChannels = ChannelsFromFmt(buffer->mChannels, buffer->mAmbiOrder); - auto numChannels = ChannelsFromFmt(buffer->mChannels, - minu(buffer->mAmbiOrder, MaxConvolveAmbiOrder)); + auto bytesPerSample = BytesFromFmt(buffer.storage->mType); + auto realChannels = ChannelsFromFmt(buffer.storage->mChannels, buffer.storage->mAmbiOrder); + auto numChannels = ChannelsFromFmt(buffer.storage->mChannels, + minu(buffer.storage->mAmbiOrder, MaxConvolveAmbiOrder)); mChans = ChannelDataArray::Create(numChannels); @@ -252,11 +252,11 @@ void ConvolutionState::deviceUpdate(const ALCdevice *device, const BufferStorage * called very infrequently, go ahead and use the polyphase resampler. */ PPhaseResampler resampler; - if(device->Frequency != buffer->mSampleRate) - resampler.init(buffer->mSampleRate, device->Frequency); + if(device->Frequency != buffer.storage->mSampleRate) + resampler.init(buffer.storage->mSampleRate, device->Frequency); const auto resampledCount = static_cast<uint>( - (uint64_t{buffer->mSampleLen}*device->Frequency + (buffer->mSampleRate-1)) / - buffer->mSampleRate); + (uint64_t{buffer.storage->mSampleLen}*device->Frequency+(buffer.storage->mSampleRate-1)) / + buffer.storage->mSampleRate); const BandSplitter splitter{device->mXOverFreq / static_cast<float>(device->Frequency)}; for(auto &e : *mChans) @@ -277,20 +277,20 @@ void ConvolutionState::deviceUpdate(const ALCdevice *device, const BufferStorage mComplexData = std::make_unique<complex_d[]>(complex_length); std::fill_n(mComplexData.get(), complex_length, complex_d{}); - mChannels = buffer->mChannels; - mAmbiLayout = buffer->mAmbiLayout; - mAmbiScaling = buffer->mAmbiScaling; - mAmbiOrder = minu(buffer->mAmbiOrder, MaxConvolveAmbiOrder); + mChannels = buffer.storage->mChannels; + mAmbiLayout = buffer.storage->mAmbiLayout; + mAmbiScaling = buffer.storage->mAmbiScaling; + mAmbiOrder = minu(buffer.storage->mAmbiOrder, MaxConvolveAmbiOrder); - auto srcsamples = std::make_unique<double[]>(maxz(buffer->mSampleLen, resampledCount)); + auto srcsamples = std::make_unique<double[]>(maxz(buffer.storage->mSampleLen, resampledCount)); complex_d *filteriter = mComplexData.get() + mNumConvolveSegs*m; for(size_t c{0};c < numChannels;++c) { /* Load the samples from the buffer, and resample to match the device. */ - LoadSamples(srcsamples.get(), buffer->mData.data() + bytesPerSample*c, realChannels, - buffer->mType, buffer->mSampleLen); - if(device->Frequency != buffer->mSampleRate) - resampler.process(buffer->mSampleLen, srcsamples.get(), resampledCount, + LoadSamples(srcsamples.get(), buffer.samples.data() + bytesPerSample*c, realChannels, + buffer.storage->mType, buffer.storage->mSampleLen); + if(device->Frequency != buffer.storage->mSampleRate) + resampler.process(buffer.storage->mSampleLen, srcsamples.get(), resampledCount, srcsamples.get()); /* Store the first segment's samples in reverse in the time-domain, to |