initiate Neuronales_Netz

Neuronales_Netz/neuralNetworkTests.c

@@ -9,6 +9,31 @@
 static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
 {
     // TODO
+    FILE *file = fopen(path, "wb");
+
+    if(file != NULL)
+    {
+        const char *fileTag = "__info2_neural_network_file_format__";
+        fwrite(fileTag, sizeof(fileTag[0]), strlen(fileTag), file);
+        fwrite(&nn.layers[0].weights.cols, sizeof(int), 1, file);
+        fwrite(&nn.layers[0].weights.rows, sizeof(int), 1, file);
+
+        for(int i = 0; i < nn.numberOfLayers; i++)
+        {
+            unsigned int sizeWeights = nn.layers[i].weights.rows * nn.layers[i].weights.cols;
+            unsigned int sizeBiases = nn.layers[i].biases.rows;
+
+            fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), sizeWeights, file);
+            fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), sizeBiases, file);
+
+            if(i < nn.numberOfLayers - 1)
+            {
+                fwrite(&nn.layers[i].weights.cols, sizeof(unsigned int), 1, file);
+            }
+        }
+
+        fclose(file);
+    }
 }
 
 void test_loadModelReturnsCorrectNumberOfLayers(void)