neuralNetworkTests implementiert

Startcode/matrix.c

@@ -79,14 +79,6 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
     }
 
 
-
-
-
-
-
-
-
-
 }
 
 Matrix multiply(const Matrix matrix1, const Matrix matrix2)

Startcode/matrix.h

@@ -8,7 +8,7 @@ typedef float MatrixType;
 // TODO Matrixtyp definieren
 
 typedef struct{
-    MatrixType* buffer;
+    MatrixType* buffer; 
     unsigned int rows;
     unsigned int cols;
 }Matrix;

Startcode/neuralNetwork.c

@@ -71,7 +71,7 @@ static unsigned int readDimension(FILE *file)
     return dimension;
 }
 
-static Matrix readMatrix(FILE *file, unsigned int rows, unsigned int cols)
+static Matrix  readMatrix(FILE *file, unsigned int rows, unsigned int cols)
 {
     Matrix matrix = createMatrix(rows, cols);
     

Startcode/neuralNetworkTests.c

@@ -4,11 +4,41 @@
 #include <math.h>
 #include "unity.h"
 #include "neuralNetwork.h"
-
+#define FILE_HEADER_STRING "__info2_neural_network_file_format__"
 
 static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
-{
-    // TODO
+{   
+
+    FILE *testFile = fopen(path,"wb");
+    unsigned int dimensionIn = nn.layers[0].weights.cols;
+    
+    if(testFile != NULL){
+        fwrite(FILE_HEADER_STRING,sizeof(char) ,strlen(FILE_HEADER_STRING),testFile); 
+        fwrite(&dimensionIn, sizeof(unsigned int), 1, testFile);
+        
+        for(unsigned int i = 0; i < nn.numberOfLayers; i++) {
+
+            unsigned int dimensionOut = nn.layers[i].weights.rows;
+            fwrite(&dimensionOut, sizeof(int), 1, testFile);
+ 
+            size_t weightsCount = nn.layers[i].weights.rows * nn.layers[i].weights.cols;
+            fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), weightsCount, testFile);
+
+                
+            size_t biasesCount = nn.layers[i].biases.rows * nn.layers[i].biases.cols;
+            fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), biasesCount, testFile);
+            
+        }
+        const unsigned int finalDim = 0;
+        fwrite(&finalDim, sizeof(int), 1, testFile);
+
+
+        fclose(testFile);
+    }
+
+
+
+    
 }
 
 void test_loadModelReturnsCorrectNumberOfLayers(void)