.gitignore

@@ -1,8 +1,4 @@
 mnist
 runTests
 *.o
-*.exe
-runMatrixTests
-runImageInputTests
-runNeuralNetworkTests
-.vscode
+*.exe

imageInput.c

@@ -6,165 +6,17 @@
 #define BUFFER_SIZE 100
 #define FILE_HEADER_STRING "__info2_image_file_format__"
 
-typedef enum
-{
-    IMG_SUCCESS = 0,
-    IMG_ERR_INVALID_HEADER, // Header did not match
-    IMG_ERR_READ,           // Failed to read from file, maybe it's too short
-    IMG_ERR,                // General Error
-} ImageError;
-
-static ImageError checkHeader(FILE *file);
-static ImageError readPictureParams(unsigned short *number, unsigned short *width, unsigned short *height, FILE *file);
-static ImageError readImage(size_t numPixels, GrayScalePixelType *pixelBuffer, unsigned char *label, FILE *file);
-static ImageError parseImageFile(FILE *file, GrayScaleImageSeries *series);
+// TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
 
+// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
 GrayScaleImageSeries *readImages(const char *path)
 {
-    // It's very important to call calloc here because otherwise clearSeries() might try to free random memory
-    GrayScaleImageSeries *series = calloc(1, sizeof(GrayScaleImageSeries));
-    if (series == NULL)
-    {
-        return NULL;
-    }
-
-    FILE *file = fopen(path, "rb");
-    // If fopen() failed
-    if (file == NULL)
-    {
-        clearSeries(series);
-        series = NULL;
-        return NULL;
-    }
-
-    // Try to parse the whole file. If anything fails memory is freed
-    if (parseImageFile(file, series))
-    {
-        clearSeries(series);
-        series = NULL; // Return NULL after the file is properly closed 
-    }
-
-    fclose(file);
+    GrayScaleImageSeries *series = NULL;
+    
     return series;
 }
 
-static ImageError parseImageFile(FILE *file, GrayScaleImageSeries *series)
-{
-    if (checkHeader(file))
-    {
-        return IMG_ERR; // header check failed
-    }
-
-    unsigned short imgCNT, width, height;
-    if (readPictureParams(&imgCNT, &width, &height, file))
-    {
-        return IMG_ERR; // read failed
-    }
-    size_t pixels = width * height;
-
-    // The images contain more pointers, definitely use calloc here
-    series->images = calloc(imgCNT, sizeof(GrayScaleImage));
-    if (series->images == NULL)
-    {
-        return IMG_ERR;
-    }
-
-    series->labels = malloc(imgCNT * sizeof(unsigned char));
-    if (series->labels == NULL)
-    {
-        return IMG_ERR;
-    }
-
-    series->count = imgCNT;
-    // Read every image and it's label
-    for (size_t imageIdx = 0; imageIdx < imgCNT; imageIdx++)
-    {
-        GrayScaleImage *curImage = &series->images[imageIdx];
-
-        curImage->buffer = malloc(sizeof(GrayScalePixelType) * pixels);
-        if (curImage->buffer == NULL)
-        {
-            return IMG_ERR;
-        }
-
-        curImage->width = width;
-        curImage->height = height;
-
-        if (readImage(pixels, curImage->buffer, &series->labels[imageIdx], file))
-        {
-            return IMG_ERR;
-        }
-    }
-    return IMG_SUCCESS;
-}
-
-static ImageError checkHeader(FILE *file)
-{
-    size_t len = strlen(FILE_HEADER_STRING);
-    char headerBuf[len + 1];
-    size_t charsRead = fread(headerBuf, 1, len, file);
-    // Check if the file is to short
-    if (charsRead < len)
-    {
-        return IMG_ERR_READ;
-    }
-    headerBuf[len] = '\0'; // Terminate string
-    return strcmp(headerBuf, FILE_HEADER_STRING) == 0 ? IMG_SUCCESS : IMG_ERR_INVALID_HEADER;
-}
-
-static ImageError readPictureParams(unsigned short *number, unsigned short *width, unsigned short *height, FILE *file)
-{
-    // number of images
-    if (1 != fread(number, sizeof(unsigned short), 1, file))
-    {
-        return IMG_ERR_READ;
-    }
-
-    // image width
-    if (1 != fread(width, sizeof(unsigned short), 1, file))
-    {
-        return IMG_ERR_READ;
-    }
-
-    // height
-    if (1 != fread(height, sizeof(unsigned short), 1, file))
-    {
-        return IMG_ERR_READ;
-    }
-
-    return IMG_SUCCESS;
-}
-
-// Read 1 image and it's label
-static ImageError readImage(size_t numPixels, GrayScalePixelType *pixelBuffer, unsigned char *label, FILE *file)
-{
-    if (numPixels > fread(pixelBuffer, sizeof(GrayScalePixelType), numPixels, file))
-    {
-        return IMG_ERR_READ;
-    }
-
-    if (1 != fread(label, sizeof(unsigned char), 1, file))
-    {
-        return IMG_ERR_READ;
-    }
-
-    return IMG_SUCCESS;
-}
-
-// Frees memory for each image buffer, image, label and finally series
+// TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
 void clearSeries(GrayScaleImageSeries *series)
 {
-    if (series)
-    {
-
-        int seriesLen = series->count;
-        for (size_t imageIdx = 0; imageIdx < seriesLen; imageIdx++)
-        {
-            free(series->images[imageIdx].buffer);
-        }
-
-        free(series->images);
-        free(series->labels);
-        free(series);
-    }
 }

matrix.c

@@ -1,152 +1,35 @@
 #include <stdlib.h>
 #include <string.h>
 #include "matrix.h"
-#include <stdio.h>
+
+// TODO Matrix-Funktionen implementieren
 
 Matrix createMatrix(unsigned int rows, unsigned int cols)
 {
-    Matrix mat = {.rows = rows, .cols = cols};
-    // If one dimension is 0, return both dimensions as 0 and don't init the array/buffer.
-    if (rows == 0 || cols == 0)
-    {
-        mat.rows = 0;
-        mat.cols = 0;
-        return mat;
-    }
-
-    // allocate contiguous and 0 initialized memory
-    mat.buffer = calloc(rows * cols, sizeof(MatrixType));
-
-    // check if calloc failed
-    if (mat.buffer == NULL)
-    {
-        clearMatrix(&mat);
-        perror("could not allocate memory");
-    }
-
-    return mat;
+    
 }
 
-// reduce the dimensions to (0, 0) and free the memory
 void clearMatrix(Matrix *matrix)
 {
-    free(matrix->buffer);
-    matrix->buffer = NULL;
-    matrix->cols = 0;
-    matrix->rows = 0;
+    
 }
 
 void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
 {
-    // do nothing if idx is not in array or matrix buffer is NULL
-    if (!(rowIdx < matrix.rows) || !(colIdx < matrix.cols) || matrix.buffer == NULL)
-    {
-        return;
-    }
-
-    matrix.buffer[rowIdx * matrix.cols + colIdx] = value;
+    
 }
 
 MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
 {
-    // return UNDEFINED_MATRIX_VALUE if idx is not in array or matrix buffer is NULL
-    if (!(rowIdx < matrix.rows) || !(colIdx < matrix.cols) || matrix.buffer == NULL)
-    {
-        return UNDEFINED_MATRIX_VALUE;
-    }
-
-    return matrix.buffer[rowIdx * matrix.cols + colIdx];
-};
+    
+}
 
 Matrix add(const Matrix matrix1, const Matrix matrix2)
 {
-    Matrix resMat = (matrix1.cols > matrix2.cols) ? createMatrix(matrix1.rows, matrix1.cols) : createMatrix(matrix2.rows, matrix2.cols);
-
-    if (resMat.buffer == NULL)
-    {
-        return createMatrix(0, 0);
-    }
-
-    if (matrix1.cols != matrix2.cols)
-    {
-        if (matrix1.rows != matrix2.rows)
-        {
-            clearMatrix(&resMat);
-            return resMat;
-        }
-        else if (matrix1.cols == 1)
-        {
-            // broadcast vector
-            for (size_t m = 0; m < matrix2.rows; m++)
-            {
-                for (size_t n = 0; n < matrix2.cols; n++)
-                {
-                    setMatrixAt(getMatrixAt(matrix2, m, n) + getMatrixAt(matrix1, m, 0), resMat, m, n);
-                }
-            }
-            return resMat;
-        }
-        else if (matrix2.cols == 1)
-        {
-            // broadcast vector
-            for (size_t m = 0; m < matrix1.rows; m++)
-            {
-                for (size_t n = 0; n < matrix1.cols; n++)
-                {
-                    setMatrixAt(getMatrixAt(matrix1, m, n) + getMatrixAt(matrix2, m, 0), resMat, m, n);
-                }
-            }
-            return resMat;
-        }
-        else
-        {
-            clearMatrix(&resMat);
-            return resMat;
-        }
-    }
-
-    for (size_t m = 0; m < matrix1.rows; m++)
-    {
-        for (size_t n = 0; n < matrix1.cols; n++)
-        {
-            setMatrixAt(getMatrixAt(matrix1, m, n) + getMatrixAt(matrix2, m, n), resMat, m, n);
-        }
-    }
-
-    return resMat;
+    
 }
 
-Matrix multiply(const Matrix A, const Matrix B)
+Matrix multiply(const Matrix matrix1, const Matrix matrix2)
 {
-    if (A.cols != B.rows || A.buffer == NULL || B.buffer == NULL)
-    {
-        return createMatrix(0, 0);
-    }
-
-    int rows = A.rows, cols = B.cols;
-    Matrix C = createMatrix(rows, cols);
-
-    if (C.buffer == NULL)
-    {
-        return createMatrix(0, 0);
-    }
-
-    // M = Rows, K = Common Dim, N = Cols
-    size_t M = A.rows, K = A.cols, N = B.cols;
-
-    for (size_t i = 0; i < M; i++)
-    {
-        for (size_t k = 0; k < K; k++)
-
-        {
-            MatrixType valA = A.buffer[i * K + k];
-            for (size_t j = 0; j < N; j++)
-            {
-                // C[i, j] += A[i, k] * B[k, j];
-                // M x N,     M x K,    K x N
-                C.buffer[i * N + j] += valA * B.buffer[k * N + j];
-            }
-        }
-    }
-    return C;
+    
 }

matrix.h

@@ -5,14 +5,8 @@
 
 typedef float MatrixType;
 
-// Matrixtyp
-typedef struct Matrix
-{
-    size_t rows;
-    size_t cols;
-    MatrixType *buffer;
+// TODO Matrixtyp definieren
 
-} Matrix;
 
 Matrix createMatrix(unsigned int rows, unsigned int cols);
 void clearMatrix(Matrix *matrix);
@@ -21,4 +15,5 @@ MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int co
 Matrix add(const Matrix matrix1, const Matrix matrix2);
 Matrix multiply(const Matrix matrix1, const Matrix matrix2);
 
+
 #endif

neuralNetworkTests.c

@@ -6,30 +6,9 @@
 #include "neuralNetwork.h"
 
 
-static void erzeugeMatrix(FILE *file, const Matrix *m)
-{
-    fwrite(&m->rows, sizeof(int), 1, file);
-    fwrite(&m->cols, sizeof(int), 1, file);
-    fwrite(m->buffer, sizeof(MatrixType), m->rows * m->cols, file);
-}
-
 static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
 {
-    FILE *file = fopen(path, "wb");
-    if (!file)
-        return;
-
-    const char *header = "__info2_neural_network_file_format__";
-    fwrite(header, sizeof(char), strlen(header), file);
-    fwrite(&nn.numberOfLayers, sizeof(int), 1, file);
-
-    for (int i = 0; i < nn.numberOfLayers; i++)
-    {
-        erzeugeMatrix(file, &nn.layers[i].weights);
-        erzeugeMatrix(file, &nn.layers[i].biases);
-    }
-
-    fclose(file);
+    // TODO
 }
 
 void test_loadModelReturnsCorrectNumberOfLayers(void)