commit ce668f6d254b3f4cb9ccc2bdac59e7210e7dc60b
parent ca1f413315ded0739c5116fa22644e245e32fb3d
Author: keith <[email protected]>
Date: Mon, 18 Oct 2021 21:01:20 -0500
Initial commit for conditioned model processing
Diffstat:
5 files changed, 19 insertions(+), 13 deletions(-)
diff --git a/Source/PluginProcessor.cpp b/Source/PluginProcessor.cpp
@@ -204,7 +204,7 @@ void NeuralPiAudioProcessor::processBlock (AudioBuffer<float>& buffer, MidiBuffe
auto ir = static_cast<float> (irParam->get());
ir_index = getIrIndex(ir);
- buffer.applyGain(gain * 2.0);
+ //buffer.applyGain(gain * 2.0);
eq4band.setParameters(bass, mid, treble, presence);// Better to move this somewhere else? Only need to set when value changes
eq4band.process(buffer.getReadPointer(0), buffer.getWritePointer(0), midiMessages, numSamples, numInputChannels, sampleRate);
@@ -214,7 +214,8 @@ void NeuralPiAudioProcessor::processBlock (AudioBuffer<float>& buffer, MidiBuffe
loadConfig(jsonFiles[model_index]);
current_model_index = model_index;
}
- LSTM.process(buffer.getReadPointer(0), buffer.getWritePointer(0), numSamples);
+ //LSTM.process(buffer.getReadPointer(0), buffer.getWritePointer(0), numSamples);
+ LSTM.process(buffer.getReadPointer(0), gain, buffer.getWritePointer(0), numSamples);
}
// Process IR
diff --git a/Source/RTNeuralLSTM.cpp b/Source/RTNeuralLSTM.cpp
@@ -51,8 +51,12 @@ void RT_LSTM::reset()
model.reset();
}
-void RT_LSTM::process(const float* inData, float* outData, int numSamples)
+void RT_LSTM::process(const float* inData, float param, float* outData, int numSamples)
{
- for (int i = 0; i < numSamples; ++i)
- outData[i] = model.forward(inData + i) + inData[i];
+ for (int i = 0; i < numSamples; ++i) {
+ inArray[0] = inData[i];
+ inArray[1] = param;
+ outData[i] = model.forward(inArray) + inData[i];
+ }
+
}
diff --git a/Source/RTNeuralLSTM.h b/Source/RTNeuralLSTM.h
@@ -10,10 +10,11 @@ public:
void reset();
void load_json(const char* filename);
- void process(const float* inData, float* outData, int numSamples);
-
+ void process(const float* inData, float param, float* outData, int numSamples);
+
private:
- RTNeural::ModelT<float, 1, 1,
- RTNeural::LSTMLayerT<float, 1, 20>,
+ RTNeural::ModelT<float, 2, 1,
+ RTNeural::LSTMLayerT<float, 2, 20>,
RTNeural::DenseT<float, 20, 1>> model;
+ float inArray[2] = { 0.0, 0.0 };
};
diff --git a/models/BluesJR_FullD.json b/models/BluesJR_FullD.json
@@ -1 +1 @@
-{"model_data": {"model": "SimpleRNN", "input_size": 1, "skip": 1, "output_size": 1, "unit_type": "LSTM", "num_layers": 1, "hidden_size": 20, "bias_fl": true}, "state_dict": {"rec.weight_ih_l0": [[-0.019447844475507736], [-0.025056468322873116], [-0.027949145063757896], [-0.0577019564807415], [0.0598582848906517], [-0.13664653897285461], [0.04766739159822464], [-0.0004665635642595589], [-0.01822698302567005], [-0.026177534833550453], [0.13945509493350983], [0.08213596791028976], [-0.07263191044330597], [0.016477657482028008], [0.08215028792619705], [-0.037856072187423706], [-0.02933952771127224], [0.02008328214287758], [0.26485326886177063], [-0.005131983198225498], [0.029838887974619865], [-0.18419921398162842], [-0.0031650769524276257], [0.01123843714594841], [0.02191070280969143], [-0.27952781319618225], [-0.08440619707107544], [0.003502423409372568], [-0.05589883029460907], [0.009617816656827927], [-0.17085745930671692], [0.18455921113491058], [0.13033755123615265], 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-\ No newline at end of file
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+\ No newline at end of file
diff --git a/models/TS9_FullD.json b/models/TS9_FullD.json
@@ -1 +1 @@
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+\ No newline at end of file
