From 6fd23da97fa9700f59c61a966b4bf7d25fa46b34 Mon Sep 17 00:00:00 2001
From: Paul Oliver <contact@pauloliver.dev>
Date: Thu, 29 Feb 2024 03:15:03 +0100
Subject: initial commit

---
 SimpleRN.cpp | 35 +++++++++++++++++++++++++++++++++++
 1 file changed, 35 insertions(+)
 create mode 100644 SimpleRN.cpp

(limited to 'SimpleRN.cpp')

diff --git a/SimpleRN.cpp b/SimpleRN.cpp
new file mode 100644
index 0000000..0e10c22
--- /dev/null
+++ b/SimpleRN.cpp
@@ -0,0 +1,35 @@
+#include "SimpleRN.hpp"
+
+SimpleRN::SimpleRN(unsigned inputCount, unsigned hiddenNodeCount, unsigned outputCount, NodeClass nodeClass, bool zeroed)
+:   SingleMLP(0, 0, 0, NEURON, true)
+{
+    m_context.resize(hiddenNodeCount, 0.f);
+
+    m_hiddenLayer = NodeLayer(inputCount + hiddenNodeCount, hiddenNodeCount, nodeClass, zeroed);
+    m_outputLayer = NodeLayer(hiddenNodeCount, outputCount, nodeClass, zeroed);
+
+    m_inputCount = inputCount;
+    m_hiddenNodeCount = hiddenNodeCount;
+    m_outputCount = outputCount;
+    m_nodeClass = nodeClass;
+}
+
+std::vector<float> SimpleRN::io(const std::vector<float> &inputs)
+{
+    std::vector<float> response;
+
+    if (inputs.size() != m_inputCount)
+    {
+        return response;
+    }
+
+    response.insert(response.end(), inputs.begin(), inputs.end());
+    response.insert(response.end(), m_context.begin(), m_context.end());
+
+    response = m_hiddenLayer.io(response);
+
+    m_context = response;
+    response = m_outputLayer.io(response);
+
+    return response;
+}
-- 
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