the beginning of the implementation of Vulkan

Co-authored-by: Copilot <copilot@github.com>

Xenith/core.hpp

@@ -4,6 +4,12 @@
 #include "typedef.hpp"
 #include <vector>
 #include <cmath>
+#include "core.hpp"
+#include <cstdlib>
+#include <omp.h> 
+#include <vulkan/vulkan.hpp>
+#include <iostream>
+#include <fstream>
 
 class NeuralNetwork {
 private:
@@ -13,13 +19,23 @@ private:
     std::vector<std::vector<double>> biases;
     std::vector<std::vector<double>> outputs;
 
+    vk::Instance instance;
+    vk::PhysicalDevice physDev;
+    vk::Device device;
+    vk::Queue queue;
+    vk::CommandPool cmdPool;
+
+    uint32_t NeuralNetwork::findMemoryType(uint32_t typeFilter, vk::MemoryPropertyFlags properties);
+
     double sigmoid(double x) { return 1.0 / (1.0 + exp(-x)); }
     double sigmoidDeriv(double x) { return x * (1.0 - x); }
 
 public:
-    NeuralNetwork(LayerStructure_t layers[], int count);
+    int cpu_count = 1;
+    NeuralNetwork(LayerStructure_t layers[], int count, bool useVulkan = false);
     std::vector<double> feedForward(const std::vector<double>& input);
     double train(const std::vector<double>& input, const std::vector<double>& target, double lr);
+    double trainVulkan();
 };
 
 #endif