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https://github.com/mikeoliphant/neural-amp-modeler-lv2.git
synced 2026-05-06 19:50:11 +02:00
Add "nam" namespace
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+1
-1
@@ -96,7 +96,7 @@ LV2_SYMBOL_EXPORT const LV2_Descriptor* lv2_descriptor(uint32_t index)
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{
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if (index == 0) {
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// Turn on fast tanh approximation
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activations::Activation::enable_fast_tanh();
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nam::activations::Activation::enable_fast_tanh();
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return &descriptor;
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}
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+2
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@@ -88,7 +88,7 @@ namespace NAM {
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auto msg = static_cast<const LV2LoadModelMsg*>(data);
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auto nam = static_cast<NAM::Plugin*>(instance);
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::DSP* model = nullptr;
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nam::DSP* model = nullptr;
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LV2SwitchModelMsg response = { kWorkTypeSwitch, {}, {} };
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LV2_Worker_Status result = LV2_WORKER_SUCCESS;
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@@ -107,7 +107,7 @@ namespace NAM {
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{
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lv2_log_trace(&nam->logger, "Staging model change: `%s`\n", msg->path);
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model = get_dsp(msg->path).release();
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model = nam::get_dsp(msg->path).release();
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// Pre-run model to ensure all needed buffers are allocated in advance
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if (const int32_t numSamples = nam->maxBufferSize)
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+3
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@@ -43,12 +43,12 @@ namespace NAM {
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struct LV2SwitchModelMsg {
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LV2WorkType type;
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char path[MAX_FILE_NAME];
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::DSP* model;
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nam::DSP* model;
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};
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struct LV2FreeModelMsg {
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LV2WorkType type;
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::DSP* model;
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nam::DSP* model;
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};
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class Plugin {
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@@ -70,7 +70,7 @@ namespace NAM {
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LV2_Log_Logger logger = {};
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LV2_Worker_Schedule* schedule = nullptr;
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::DSP* currentModel = nullptr;
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nam::DSP* currentModel = nullptr;
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std::string currentModelPath;
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float prevDCInput = 0;
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float prevDCOutput = 0;
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