I2_NeuronalerAbsturz/Start_Mac/makefile

@@ -40,8 +40,8 @@ mnistVisualization.o: mnistVisualization.c
 matrixTests: matrix.o matrixTests.c
 	$(CC) $(CFLAGS) -I$(unityfolder) -o runMatrixTests matrixTests.c matrix.o $(BINARIES)/libunity.a
 
-neuralNetworkTests: neuralNetwork.o neuralNetworkTests.c matrix.o
-	$(CC) $(CFLAGS) -I$(unityfolder) -o runNeuralNetworkTests neuralNetworkTests.c neuralNetwork.o matrix.o $(BINARIES)/libunity.a
+neuralNetworkTests: neuralNetwork.o neuralNetworkTests.c
+	$(CC) $(CFLAGS) -I$(unityfolder) -o runNeuralNetworkTests neuralNetworkTests.c neuralNetwork.o $(BINARIES)/libunity.a
 
 imageInputTests: imageInput.o imageInputTests.c
 	$(CC) $(CFLAGS) -I$(unityfolder) -o runImageInputTests imageInputTests.c imageInput.o $(BINARIES)/libunity.a

I2_NeuronalerAbsturz/Start_Mac/matrix.c

@@ -42,7 +42,7 @@ void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned
 {
     if (matrix.buffer != NULL)
     {
-        if (rowIdx < matrix.rows && colIdx < matrix.cols)
+        if (rowIdx < matrix.rows || colIdx < matrix.cols)
         {
             matrix.buffer[rowIdx * matrix.cols + colIdx] = value;
         }

I2_NeuronalerAbsturz/Start_Mac/neuralNetworkTests.c

@@ -5,80 +5,12 @@
 #include "unity.h"
 #include "neuralNetwork.h"
 
-/* 
-################
-Aufbau Test File 
-################
-
-
-HEADER
-
-inputDim
-outputDim
-
--- Layer 1 --
-weights (outputDim * inputDim * MatrixType)
-biases  (outputDim * MatrixType)
-
-outputDim
-
--- Layer 2 --
-weights
-biases
-
-...
-...
--- Layer n --
-weights
-biases
-
-outputDim = 0  => Ende 
-*/
-
 
 static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
 {
-    FILE *file = fopen(path, "wb");
-    if (file)
-    {
-        const char *fileTag = "__info2_neural_network_file_format__";
-        fwrite(fileTag, 1, strlen(fileTag), file);
-
-        //Stopt loadModel, falls keine Layer vorhanden
-        if (nn.numberOfLayers == 0) 
-        {
-            int zero = 0;
-            fwrite(&zero, sizeof(int), 1, file);
-            fclose(file);
-            return;
+    // TODO
 }
 
-        // input und output dimension schreiben
-        int inputDim = nn.layers[0].weights.cols;
-        fwrite(&inputDim, sizeof(int), 1, file);
-
-        // für weiter Layer nur outputDimension schreiben
-        for (unsigned int i = 0; i < nn.numberOfLayers; i++)
-        {
-            int outputDim = nn.layers[i].weights.rows;
-            fwrite(&outputDim, sizeof(int), 1, file);
-
-            int weightCount = nn.layers[i].weights.rows * nn.layers[i].weights.cols;
-            fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), weightCount, file);
-
-            int biasesCount = nn.layers[i].biases.rows * nn.layers[i].biases.cols;
-            fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), biasesCount, file);
-        }
-
-        // loadModel ließt 0 ein -> Stop
-        int fileEnd = 0;
-        fwrite(&fileEnd, sizeof(int), 1, file);
-}
-
-    fclose(file);
-}
-
-
 void test_loadModelReturnsCorrectNumberOfLayers(void)
 {
     const char *path = "some__nn_test_file.info2";