28 Commits
Author SHA1 Message Date
Max-R fb72278d55 Merge branch 'main' into RMax 2025-11-25 11:12:36 +01:00
Kristin f1af6c1e4a Merge branch 'Krisp2' 2025-11-25 10:49:32 +01:00
Kristin 9606b5a03e kp 2025-11-25 10:48:24 +01:00
Kristin 3c4e4df496 Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kachelto100370/info2Praktikum-NeuronalesNetz into Krisp2 2025-11-25 10:41:30 +01:00
Kristin fd1bc886a7 neu 2025-11-25 10:38:40 +01:00
Max-R efa260ccbe 0 fehler bei add abfangen 2025-11-25 10:15:52 +01:00
Max-R 4a1b6cbb40 Fehler 0 Matrix bei add abfangen 2025-11-25 10:13:01 +01:00
Max-R 801abc1b66 Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kachelto100370/info2Praktikum-NeuronalesNetz 2025-11-25 10:00:31 +01:00
Max-R 8e518a3bdd Merge branch 'RMax' matrix.c voll 2025-11-25 09:58:03 +01:00
Max-R 0baf646832 add files to gitignore 2025-11-25 09:57:28 +01:00
Kristin 0f0f2f19c3 lauffaehige version, noch haesslich 2025-11-25 09:57:13 +01:00
kachelto100370 98dd789680 input image things 2025-11-25 09:10:54 +01:00
Kristin 7aa57191da neuralNetworkTests mit Kommentaren 2025-11-23 17:16:18 +01:00
Kristin da4eaa718d Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kachelto100370/info2Praktikum-NeuronalesNetz into Krisp2 2025-11-23 16:44:13 +01:00
Max-R 21d9b5c01d so finde ich es schöner... 2025-11-22 15:29:32 +01:00
Max-R e7930c7eb0 kommentaare update 2025-11-22 15:23:50 +01:00
Max-R 5075c34983 kommentaare update 2025-11-22 15:19:41 +01:00
Max-R b187a13b17 multiply, besteht MatrixTests 2025-11-22 15:17:12 +01:00
Max-R 4e2ee7078a alles bis uf multiply 2025-11-22 12:41:46 +01:00
Max-R 35a598a276 broadcasting 2025-11-22 11:54:32 +01:00
Max-R e1ea9f33cd create matrix mit null 2025-11-22 10:55:27 +01:00
kachelto100370 7f3c6d1d3f first pass matrix add, ohne broadcasting 2025-11-20 16:04:01 +01:00
Max-R 0886489d49 Matrix noch ohne broadcasting 2025-11-20 16:03:44 +01:00
Max-R f9c46a6784 Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kachelto100370/info2Praktikum-NeuronalesNetz into RMax 2025-11-20 14:50:33 +01:00
Max-R 5fcc3cd042 Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kachelto100370/info2Praktikum-NeuronalesNetz into RMax 2025-11-18 10:51:55 +01:00
Max-R 3de79e2b83 clearMatrix füllen 2025-11-11 11:05:28 +01:00
Max-R ec54bdd951 create Matrix gefüllt, test unit 2025-11-11 10:36:11 +01:00
Max-R 0e3f03a03d Matrix definiert 2025-11-11 09:20:40 +01:00
9 changed files with 623 additions and 314 deletions
+4 -1
View File
@@ -1,4 +1,7 @@
mnist
runTests
*.o
*.exe
*.exe
.vscode/c_cpp_properties.json
.vscode/launch.json
.vscode/settings.json
+18
View File
@@ -0,0 +1,18 @@
{
"configurations": [
{
"name": "windows-gcc-x64",
"includePath": [
"${workspaceFolder}/**"
],
"compilerPath": "C:/ProgramData/mingw64/mingw64/bin/gcc.exe",
"cStandard": "${default}",
"cppStandard": "${default}",
"intelliSenseMode": "windows-gcc-x64",
"compilerArgs": [
""
]
}
],
"version": 4
}
+24
View File
@@ -0,0 +1,24 @@
{
"version": "0.2.0",
"configurations": [
{
"name": "C/C++ Runner: Debug Session",
"type": "cppdbg",
"request": "launch",
"args": [],
"stopAtEntry": false,
"externalConsole": true,
"cwd": "c:/Users/Max-R/I2Pr/repoKachelto/I2-Pr_neuronalesNetz/info2Praktikum-NeuronalesNetz",
"program": "c:/Users/Max-R/I2Pr/repoKachelto/I2-Pr_neuronalesNetz/info2Praktikum-NeuronalesNetz/build/Debug/outDebug",
"MIMode": "gdb",
"miDebuggerPath": "gdb",
"setupCommands": [
{
"description": "Enable pretty-printing for gdb",
"text": "-enable-pretty-printing",
"ignoreFailures": true
}
]
}
]
}
+57 -1
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@@ -1,3 +1,59 @@
{
"makefile.configureOnOpen": false
"C_Cpp_Runner.cCompilerPath": "gcc",
"C_Cpp_Runner.cppCompilerPath": "g++",
"C_Cpp_Runner.debuggerPath": "gdb",
"C_Cpp_Runner.cStandard": "",
"C_Cpp_Runner.cppStandard": "",
"C_Cpp_Runner.msvcBatchPath": "C:/Program Files/Microsoft Visual Studio/VR_NR/Community/VC/Auxiliary/Build/vcvarsall.bat",
"C_Cpp_Runner.useMsvc": false,
"C_Cpp_Runner.warnings": [
"-Wall",
"-Wextra",
"-Wpedantic",
"-Wshadow",
"-Wformat=2",
"-Wcast-align",
"-Wconversion",
"-Wsign-conversion",
"-Wnull-dereference"
],
"C_Cpp_Runner.msvcWarnings": [
"/W4",
"/permissive-",
"/w14242",
"/w14287",
"/w14296",
"/w14311",
"/w14826",
"/w44062",
"/w44242",
"/w14905",
"/w14906",
"/w14263",
"/w44265",
"/w14928"
],
"C_Cpp_Runner.enableWarnings": true,
"C_Cpp_Runner.warningsAsError": false,
"C_Cpp_Runner.compilerArgs": [],
"C_Cpp_Runner.linkerArgs": [],
"C_Cpp_Runner.includePaths": [],
"C_Cpp_Runner.includeSearch": [
"*",
"**/*"
],
"C_Cpp_Runner.excludeSearch": [
"**/build",
"**/build/**",
"**/.*",
"**/.*/**",
"**/.vscode",
"**/.vscode/**"
],
"C_Cpp_Runner.useAddressSanitizer": false,
"C_Cpp_Runner.useUndefinedSanitizer": false,
"C_Cpp_Runner.useLeakSanitizer": false,
"C_Cpp_Runner.showCompilationTime": false,
"C_Cpp_Runner.useLinkTimeOptimization": false,
"C_Cpp_Runner.msvcSecureNoWarnings": false
}
+123 -18
View File
@@ -1,29 +1,134 @@
#include "imageInput.h"
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "imageInput.h"
#define BUFFER_SIZE 100
#define FILE_HEADER_STRING "__info2_image_file_format__"
// TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
GrayScaleImage readImage()
{
/* ----------------------------------------------------------
1. Header prüfen
---------------------------------------------------------- */
static int readHeader(FILE *file) {
char header[sizeof(FILE_HEADER_STRING)];
if (fread(header, 1, sizeof(FILE_HEADER_STRING) - 1, file) !=
sizeof(FILE_HEADER_STRING) - 1)
return 0;
header[sizeof(FILE_HEADER_STRING) - 1] = '\0';
return strcmp(header, FILE_HEADER_STRING) == 0;
}
// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
GrayScaleImageSeries *readImages(const char *path)
{
GrayScaleImageSeries *series = NULL;
FILE *file = fopen("mnist_test.info2","rb");
char headOfFile;
series = malloc();
return series;
/* ----------------------------------------------------------
2. Meta-Daten lesen (unsigned short)
---------------------------------------------------------- */
static int readMeta(FILE *file, unsigned short *count, unsigned short *width,
unsigned short *height) {
if (fread(count, sizeof(unsigned short), 1, file) != 1)
return 0;
if (fread(width, sizeof(unsigned short), 1, file) != 1)
return 0;
if (fread(height, sizeof(unsigned short), 1, file) != 1)
return 0;
return 1;
}
// TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
void clearSeries(GrayScaleImageSeries *series)
{
/* ----------------------------------------------------------
3. Einzelbild lesen
---------------------------------------------------------- */
static int readSingleImage(FILE *file, GrayScaleImage *img,
unsigned short width, unsigned short height) {
img->width = width;
img->height = height;
}
size_t numPixels = (size_t)width * (size_t)height;
img->buffer = malloc(numPixels);
if (!img->buffer)
return 0;
if (fread(img->buffer, 1, numPixels, file) != numPixels) {
free(img->buffer);
img->buffer = NULL;
return 0;
}
return 1;
}
/* ----------------------------------------------------------
4. Label lesen
---------------------------------------------------------- */
static int readLabel(FILE *file, unsigned char *label) {
return fread(label, 1, 1, file) == 1;
}
/* ----------------------------------------------------------
5. Komplette Bildserie lesen
---------------------------------------------------------- */
GrayScaleImageSeries *readImages(const char *path) {
FILE *file = fopen(path, "rb");
if (!file)
return NULL;
if (!readHeader(file)) {
fclose(file);
return NULL;
}
unsigned short count, width, height;
if (!readMeta(file, &count, &width, &height)) {
fclose(file);
return NULL;
}
// printf("%d, %d, %d", count, width, height);
GrayScaleImageSeries *series = malloc(sizeof(GrayScaleImageSeries));
if (!series) {
fclose(file);
return NULL;
}
series->count = count;
series->images = malloc(count * sizeof(GrayScaleImage));
series->labels = malloc(count * sizeof(unsigned char));
if (!series->images || !series->labels) {
free(series->images);
free(series->labels);
free(series);
fclose(file);
return NULL;
}
for (unsigned int i = 0; i < count; i++) {
if (!readSingleImage(file, &series->images[i], width, height) ||
!readLabel(file, &series->labels[i])) {
// Aufräumen bei Fehler
for (unsigned int j = 0; j < i; j++) {
free(series->images[j].buffer);
}
free(series->images);
free(series->labels);
free(series);
fclose(file);
return NULL;
}
}
fclose(file);
return series;
}
/* ----------------------------------------------------------
6. Speicher komplett freigeben
---------------------------------------------------------- */
void clearSeries(GrayScaleImageSeries *series) {
if (!series)
return;
for (unsigned int i = 0; i < series->count; i++) {
free(series->images[i].buffer);
}
free(series->images);
free(series->labels);
free(series);
}
+177 -116
View File
@@ -1,143 +1,204 @@
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include "unity.h"
#include "imageInput.h"
#include "unity.h"
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
/* ---------------------------------------------------------
Hilfsfunktion: Testdatei vorbereiten
--------------------------------------------------------- */
static void prepareImageFile(const char *path, unsigned int width,
unsigned int height, unsigned int numberOfImages,
unsigned char label) {
FILE *file = fopen(path, "wb");
if (!file)
return;
static void prepareImageFile(const char *path, unsigned short int width, unsigned short int height, unsigned int short numberOfImages, unsigned char label)
{
FILE *file = fopen(path, "wb");
// Header
const char *fileTag = "__info2_image_file_format__";
fwrite(fileTag, 1, strlen(fileTag), file);
if(file != NULL)
{
const char *fileTag = "__info2_image_file_format__";
GrayScalePixelType *zeroBuffer = (GrayScalePixelType *)calloc(numberOfImages * width * height, sizeof(GrayScalePixelType));
// Meta-Daten als unsigned short
unsigned short n = (unsigned short)numberOfImages;
unsigned short w = (unsigned short)width;
unsigned short h = (unsigned short)height;
fwrite(&n, sizeof(unsigned short), 1, file);
fwrite(&w, sizeof(unsigned short), 1, file);
fwrite(&h, sizeof(unsigned short), 1, file);
if(zeroBuffer != NULL)
{
fwrite(fileTag, sizeof(fileTag[0]), strlen(fileTag), file);
fwrite(&numberOfImages, sizeof(numberOfImages), 1, file);
fwrite(&width, sizeof(width), 1, file);
fwrite(&height, sizeof(height), 1, file);
// Pixelbuffer
GrayScalePixelType *buffer =
calloc(width * height, sizeof(GrayScalePixelType));
if (!buffer) {
fclose(file);
return;
}
for (unsigned int i = 0; i < width * height; i++)
buffer[i] = (GrayScalePixelType)i;
for(int i = 0; i < numberOfImages; i++)
{
fwrite(zeroBuffer, sizeof(GrayScalePixelType), width * height, file);
fwrite(&label, sizeof(unsigned char), 1, file);
}
// Jedes Bild schreiben: Pixel + Label
for (unsigned int img = 0; img < numberOfImages; img++) {
fwrite(buffer, sizeof(GrayScalePixelType), width * height, file);
fwrite(&label, sizeof(unsigned char), 1, file);
}
free(zeroBuffer);
}
fclose(file);
}
free(buffer);
fclose(file);
}
/* ---------------------------------------------------------
Unit Tests
--------------------------------------------------------- */
void test_readImagesReturnsCorrectNumberOfImages(void)
{
GrayScaleImageSeries *series = NULL;
const unsigned short expectedNumberOfImages = 2;
const char *path = "testFile.info2";
prepareImageFile(path, 8, 8, expectedNumberOfImages, 1);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_EQUAL_UINT16(expectedNumberOfImages, series->count);
clearSeries(series);
remove(path);
void test_readImagesReturnsCorrectNumberOfImages(void) {
GrayScaleImageSeries *series = NULL;
const unsigned int expectedNumberOfImages = 2;
const char *path = "testFile.info2";
prepareImageFile(path, 8, 8, expectedNumberOfImages, 1);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_EQUAL_UINT(expectedNumberOfImages, series->count);
clearSeries(series);
remove(path);
}
void test_readImagesReturnsCorrectImageWidth(void)
{
GrayScaleImageSeries *series = NULL;
const unsigned short expectedWidth = 10;
const char *path = "testFile.info2";
prepareImageFile(path, expectedWidth, 8, 2, 1);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->images);
TEST_ASSERT_EQUAL_UINT16(2, series->count);
TEST_ASSERT_EQUAL_UINT16(expectedWidth, series->images[0].width);
TEST_ASSERT_EQUAL_UINT16(expectedWidth, series->images[1].width);
clearSeries(series);
remove(path);
void test_readImagesReturnsCorrectImageWidth(void) {
GrayScaleImageSeries *series = NULL;
const unsigned int expectedWidth = 10;
const char *path = "testFile.info2";
prepareImageFile(path, expectedWidth, 8, 2, 1);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->images);
TEST_ASSERT_EQUAL_UINT(2, series->count);
TEST_ASSERT_EQUAL_UINT(expectedWidth, series->images[0].width);
TEST_ASSERT_EQUAL_UINT(expectedWidth, series->images[1].width);
clearSeries(series);
remove(path);
}
void test_readImagesReturnsCorrectImageHeight(void)
{
GrayScaleImageSeries *series = NULL;
const unsigned short expectedHeight = 10;
const char *path = "testFile.info2";
prepareImageFile(path, 8, expectedHeight, 2, 1);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->images);
TEST_ASSERT_EQUAL_UINT16(2, series->count);
TEST_ASSERT_EQUAL_UINT16(expectedHeight, series->images[0].height);
TEST_ASSERT_EQUAL_UINT16(expectedHeight, series->images[1].height);
clearSeries(series);
remove(path);
void test_readImagesReturnsCorrectImageHeight(void) {
GrayScaleImageSeries *series = NULL;
const unsigned int expectedHeight = 10;
const char *path = "testFile.info2";
prepareImageFile(path, 8, expectedHeight, 2, 1);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->images);
TEST_ASSERT_EQUAL_UINT(2, series->count);
TEST_ASSERT_EQUAL_UINT(expectedHeight, series->images[0].height);
TEST_ASSERT_EQUAL_UINT(expectedHeight, series->images[1].height);
clearSeries(series);
remove(path);
}
void test_readImagesReturnsCorrectLabels(void)
{
const unsigned char expectedLabel = 15;
void test_readImagesReturnsCorrectLabels(void) {
const unsigned char expectedLabel = 15;
GrayScaleImageSeries *series = NULL;
const char *path = "testFile.info2";
prepareImageFile(path, 8, 8, 2, expectedLabel);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->labels);
TEST_ASSERT_EQUAL_UINT16(2, series->count);
for (int i = 0; i < 2; i++) {
TEST_ASSERT_EQUAL_UINT8(expectedLabel, series->labels[i]);
}
clearSeries(series);
remove(path);
GrayScaleImageSeries *series = NULL;
const char *path = "testFile.info2";
prepareImageFile(path, 8, 8, 2, expectedLabel);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->labels);
TEST_ASSERT_EQUAL_UINT(2, series->count);
for (int i = 0; i < 2; i++) {
TEST_ASSERT_EQUAL_UINT8(expectedLabel, series->labels[i]);
}
clearSeries(series);
remove(path);
}
void test_readImagesReturnsNullOnNotExistingPath(void)
{
const char *path = "testFile.txt";
remove(path);
void test_readImagesReturnsNullOnNotExistingPath(void) {
const char *path = "testFile.txt";
remove(path);
TEST_ASSERT_NULL(readImages(path));
}
void test_readImagesFailsOnWrongFileTag(void) {
const char *path = "testFile.info2";
FILE *file = fopen(path, "w");
if (file != NULL) {
fprintf(file, "some_tag ");
fclose(file);
TEST_ASSERT_NULL(readImages(path));
}
remove(path);
}
void test_readImagesFailsOnWrongFileTag(void)
{
const char *path = "testFile.info2";
FILE *file = fopen(path, "w");
if(file != NULL)
{
fprintf(file, "some_tag ");
fclose(file);
TEST_ASSERT_NULL(readImages(path));
}
remove(path);
void test_read_GrayScale_Pixel(void) {
GrayScaleImageSeries *series = NULL;
const char *path = "testFile.info2";
prepareImageFile(path, 8, 8, 1, 1);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->images);
TEST_ASSERT_EQUAL_UINT(1, series->count);
for (int i = 0; i < (8 * 8); i++) {
TEST_ASSERT_EQUAL_UINT8((GrayScalePixelType)i, series->images[0].buffer[i]);
}
clearSeries(series);
remove(path);
}
void setUp(void) {
// Falls notwendig, kann hier Vorbereitungsarbeit gemacht werden
/* ---------------------------------------------------------
Optional: Mehrere Bilder gleichzeitig testen
--------------------------------------------------------- */
void test_readImagesMultipleImagesContent(void) {
GrayScaleImageSeries *series = NULL;
const char *path = "testFile.info2";
const unsigned int numberOfImages = 3;
const unsigned int width = 4;
const unsigned int height = 4;
const unsigned char label = 7;
prepareImageFile(path, width, height, numberOfImages, label);
series = readImages(path);
TEST_ASSERT_NOT_NULL(series);
TEST_ASSERT_NOT_NULL(series->images);
TEST_ASSERT_NOT_NULL(series->labels);
TEST_ASSERT_EQUAL_UINT(numberOfImages, series->count);
for (unsigned int img = 0; img < numberOfImages; img++) {
for (unsigned int i = 0; i < width * height; i++)
TEST_ASSERT_EQUAL_UINT8((GrayScalePixelType)i,
series->images[img].buffer[i]);
TEST_ASSERT_EQUAL_UINT8(label, series->labels[img]);
}
clearSeries(series);
remove(path);
}
void tearDown(void) {
// Hier kann Bereinigungsarbeit nach jedem Test durchgeführt werden
/* ---------------------------------------------------------
Setup / Teardown
--------------------------------------------------------- */
void setUp(void) {}
void tearDown(void) {}
/* ---------------------------------------------------------
main()
--------------------------------------------------------- */
int main(void) {
UNITY_BEGIN();
printf("\n============================\nImage input "
"tests\n============================\n");
RUN_TEST(test_readImagesReturnsCorrectNumberOfImages);
RUN_TEST(test_readImagesReturnsCorrectImageWidth);
RUN_TEST(test_readImagesReturnsCorrectImageHeight);
RUN_TEST(test_readImagesReturnsCorrectLabels);
RUN_TEST(test_readImagesReturnsNullOnNotExistingPath);
RUN_TEST(test_readImagesFailsOnWrongFileTag);
RUN_TEST(test_read_GrayScale_Pixel);
RUN_TEST(test_readImagesMultipleImagesContent);
return UNITY_END();
}
int main()
{
UNITY_BEGIN();
printf("\n============================\nImage input tests\n============================\n");
RUN_TEST(test_readImagesReturnsCorrectNumberOfImages);
RUN_TEST(test_readImagesReturnsCorrectImageWidth);
RUN_TEST(test_readImagesReturnsCorrectImageHeight);
RUN_TEST(test_readImagesReturnsCorrectLabels);
RUN_TEST(test_readImagesReturnsNullOnNotExistingPath);
RUN_TEST(test_readImagesFailsOnWrongFileTag);
return UNITY_END();
}
+2 -1
View File
@@ -62,4 +62,5 @@ ifeq ($(OS),Windows_NT)
del /f *.o *.exe
else
rm -f *.o mnist runMatrixTests runNeuralNetworkTests runImageInputTests
endif
endif
+174 -156
View File
@@ -3,17 +3,15 @@
#include <stdlib.h>
#include <string.h>
// TODO Matrix-Funktionen implementieren
/*typedef struct {
unsigned int rows; //Zeilen
unsigned int cols; //Spalten
MatrixType *buffer; //Zeiger auf Speicherbereich Reihen*Spalten
} Matrix;*/
Matrix createMatrix(unsigned int rows, unsigned int cols) {
Matrix errorMatrix = {0, 0, NULL};
if (rows == 0 || cols == 0) {
if (cols == 0 || rows == 0) {
Matrix errorMatrix = {0, 0, NULL};
return errorMatrix;
}
MatrixType *buffer =
@@ -23,202 +21,222 @@ Matrix createMatrix(unsigned int rows, unsigned int cols) {
return newMatrix;
}
void clearMatrix(Matrix *matrix) {
matrix->buffer = UNDEFINED_MATRIX_VALUE;
matrix->rows = UNDEFINED_MATRIX_VALUE;
matrix->cols = UNDEFINED_MATRIX_VALUE;
free((*matrix).buffer); // Speicher freigeben
if (matrix->buffer != NULL) {
free((*matrix).buffer);
matrix->buffer = NULL;
}
matrix->rows = 0;
matrix->cols = 0;
}
void setMatrixAt(const MatrixType value, Matrix matrix,
const unsigned int rowIdx, // Kopie der Matrix wird übergeben
const unsigned int colIdx) {
if (rowIdx >= matrix.rows ||
colIdx >= matrix.cols) { // Speichergröße nicht überschreiten
if (rowIdx >= matrix.rows || colIdx >= matrix.cols) {
// Speichergröße nicht überschreiten
return;
}
matrix.buffer[rowIdx * matrix.cols + colIdx] =
value; // rowIdx * matrix.cols -> Beginn der Zeile colIdx ->Spalte
// innerhalb der Zeile
matrix.buffer[rowIdx * matrix.cols + colIdx] = value;
// rowIdx * matrix.cols -> Beginn der Zeile colIdx ->Spalte
// innerhalb der Zeile
}
MatrixType getMatrixAt(const Matrix matrix,
unsigned int rowIdx, // Kopie der Matrix wird übergeben
unsigned int colIdx) {
if (rowIdx >= matrix.rows ||
colIdx >= matrix.cols) { // Speichergröße nicht überschreiten
return 0;
if (rowIdx >= matrix.rows || colIdx >= matrix.cols ||
matrix.buffer == NULL) { // Speichergröße nicht überschreiten
return UNDEFINED_MATRIX_VALUE;
}
MatrixType value = matrix.buffer[rowIdx * matrix.cols + colIdx];
return value;
}
Matrix broadCastCols(const Matrix matrix, const unsigned int rows,
const unsigned int cols) {
Matrix copy = createMatrix(
rows, cols); // Matrix 1 Kopie erstellen mit Dimensionen von Matrix2
for (int r = 0; r < rows; r++) {
MatrixType value = getMatrixAt(matrix, r, 0);
Matrix broadcastingCols(const Matrix matrix, const unsigned int cols) {
Matrix copy1 = createMatrix(matrix.rows, cols);
for (int r = 0; r < matrix.rows; r++) {
MatrixType valueMatrix1 = getMatrixAt(matrix, r, 0);
for (int c = 0; c < cols; c++) {
setMatrixAt(value, copy, r, c);
setMatrixAt(valueMatrix1, copy1, r, c);
}
}
return copy;
return copy1;
}
Matrix broadCastRows(const Matrix matrix, const unsigned int rows,
const unsigned int cols) {
Matrix copy = createMatrix(rows, cols);
for (int c = 0; c < cols; c++) {
MatrixType value = getMatrixAt(matrix, 0, c);
Matrix broadcastingRows(const Matrix matrix, const unsigned int rows) {
Matrix copy1 = createMatrix(rows, matrix.cols);
for (int c = 0; c < matrix.cols; c++) {
MatrixType valueMatrix1 = getMatrixAt(matrix, 0, c);
for (int r = 0; r < rows; r++) {
setMatrixAt(value, copy, r, c);
setMatrixAt(valueMatrix1, copy1, r, c);
}
}
return copy;
return copy1;
}
Matrix add(const Matrix matrix1, const Matrix matrix2) {
// Broadcasting nur bei Vektor und Matrix, Fehlermeldung bei zwei unpassenden
// Matrizen
// Ergebnismatrix
Matrix result;
const int cols1 = matrix1.cols;
const int rows1 = matrix1.rows;
const int cols2 = matrix2.cols;
const int rows2 = matrix2.rows;
const unsigned int rows1 = matrix1.rows;
const unsigned int rows2 = matrix2.rows;
const unsigned int cols1 = matrix1.cols;
const unsigned int cols2 = matrix2.cols;
const int rowsEqual = (matrix1.rows == matrix2.rows) ? 1 : 0;
const int colsEqual = (matrix1.cols == matrix2.cols) ? 1 : 0;
const int rowsEqual = ((rows1 == rows2) ? 1 : 0);
const int colsEqual = ((cols1 == cols2) ? 1 : 0);
if (rowsEqual && colsEqual) // addieren
{
Matrix result = createMatrix(rows1, cols1); // Speicher reservieren
for (int i = 0; i < (rows1 * cols1); i++) { // addieren
result.buffer[i] =
(matrix1.buffer[i] +
matrix2.buffer[i]); // buffer[i] ⇔ *(buffer + i) Adresse =
// Startadresse + (i * sizeof(MatrixType))
// Broadcasting nur bei Vektor und Matrix, Fehlermeldung bei zwei unpassender
// Matrix
if (rowsEqual == 1 && colsEqual == 1) {
Matrix result = createMatrix(matrix1.rows, matrix1.cols);
<<<<<<< HEAD
if (result.buffer == NULL){
return (Matrix){0,0,NULL};
}
return result; // zurückgeben
}
else if (rowsEqual && !colsEqual) {
if (cols1 == 1) {
Matrix result = createMatrix(rows2, cols2);
Matrix copy1 = broadCastCols(matrix1, rows2, cols2);
for (int i = 0; i < (rows2 * cols2); i++) { // addieren
result.buffer[i] =
(copy1.buffer[i] +
matrix2.buffer[i]); // buffer[i] ⇔ *(buffer + i) Adresse =
// Startadresse + (i * sizeof(MatrixType))
for (int i = 0; i< rows1; i++) {
for (int j= 0; j< cols1; j++){
int valueM1= getMatrixAt(matrix1, i, j);
int valueM2= getMatrixAt(matrix2, i, j);
=======
if (result.buffer == NULL) {
return (Matrix){0, 0, NULL};
}
for (int i = 0; i < rows1; i++) {
for (int j = 0; j < cols1; j++) {
int valueM1 = getMatrixAt(matrix1, i, j);
int valueM2 = getMatrixAt(matrix2, i, j);
>>>>>>> main
int sum = valueM1 + valueM2;
setMatrixAt(sum, result, i, j);
}
}
return result;
} else if (rowsEqual == 1 && (cols1 == 1 || cols2 == 1)) {
if (cols1 == 1) { // broadcasting von vektor 1 zu matrix 1, add
Matrix newMatrix = broadcastingCols(matrix1, cols2);
// add
Matrix result = createMatrix(newMatrix.rows, newMatrix.cols);
<<<<<<< HEAD
if (result.buffer == NULL){
return (Matrix){0,0,NULL};
}
for (int i = 0; i< rows1; i++) {
for (int j= 0; j< cols2; j++){
int valueM1= getMatrixAt(newMatrix, i, j);
int valueM2= getMatrixAt(matrix2, i, j);
int sum = valueM1 + valueM2;
setMatrixAt(sum, result, i, j);
=======
if (result.buffer == NULL) {
return (Matrix){0, 0, NULL};
>>>>>>> main
}
for (int i = 0; i < rows1; i++) {
for (int j = 0; j < cols2; j++) {
int valueM1 = getMatrixAt(newMatrix, i, j);
int valueM2 = getMatrixAt(matrix2, i, j);
int sum = valueM1 + valueM2;
setMatrixAt(sum, result, i, j);
}
}
return result;
// add und return
} else if (cols2 == 1) {
Matrix result = createMatrix(rows1, cols1);
Matrix copy2 = broadCastCols(matrix2, rows1, cols1);
for (int i = 0; i < (rows1 * cols1); i++) { // addieren
result.buffer[i] =
(matrix1.buffer[i] +
copy2.buffer[i]); // buffer[i] ⇔ *(buffer + i) Adresse =
// Startadresse + (i * sizeof(MatrixType))
} else {
Matrix newMatrix2 = broadcastingCols(matrix2, cols1);
// add
Matrix result = createMatrix(newMatrix2.rows, newMatrix2.cols);
<<<<<<< HEAD
if (result.buffer == NULL){
return (Matrix){0,0,NULL};
}
for (int i = 0; i< rows1; i++) {
for (int j= 0; j< cols1; j++){
int valueM1= getMatrixAt(matrix1, i, j);
int valueM2= getMatrixAt(newMatrix2, i, j);
int sum = valueM1 + valueM2;
setMatrixAt(sum, result, i, j);
=======
if (result.buffer == NULL) {
return (Matrix){0, 0, NULL};
>>>>>>> main
}
for (int i = 0; i < rows1; i++) {
for (int j = 0; j < cols1; j++) {
int valueM1 = getMatrixAt(matrix1, i, j);
int valueM2 = getMatrixAt(newMatrix2, i, j);
int sum = valueM1 + valueM2;
setMatrixAt(sum, result, i, j);
}
}
return result;
// add und return
}
else {
printf("Fehlermeldung"); // vielleicht Fehlermeldung ändern zu
// Programmabbruch
Matrix error = {0, 0, NULL};
return error;
}
}
else if (!rowsEqual && colsEqual) {
else if ((rows1 == 1 || rows2 == 1) && colsEqual == 1) {
if (rows1 == 1) {
Matrix result = createMatrix(rows2, cols2);
Matrix copy1 = broadCastRows(matrix1, rows2, cols2);
for (int i = 0; i < (rows2 * cols2); i++) { // addieren
result.buffer[i] =
(copy1.buffer[i] +
matrix2.buffer[i]); // buffer[i] ⇔ *(buffer + i) Adresse =
// Startadresse + (i * sizeof(MatrixType))
Matrix newMatrix = broadcastingRows(matrix1, rows2);
// add
Matrix result = createMatrix(newMatrix.rows, newMatrix.cols);
<<<<<<< HEAD
if (result.buffer == NULL){
return (Matrix){0,0,NULL};
}
for (int i = 0; i< rows2; i++) {
for (int j= 0; j< cols1; j++){
int valueM1= getMatrixAt(newMatrix, i, j);
int valueM2= getMatrixAt(matrix2, i, j);
int sum = valueM1 + valueM2;
setMatrixAt(sum, result, i, j);
=======
if (result.buffer == NULL) {
return (Matrix){0, 0, NULL};
>>>>>>> main
}
for (int i = 0; i < rows2; i++) {
for (int j = 0; j < cols1; j++) {
int valueM1 = getMatrixAt(newMatrix, i, j);
int valueM2 = getMatrixAt(matrix2, i, j);
int sum = valueM1 + valueM2;
setMatrixAt(sum, result, i, j);
}
}
return result;
// add und return
} else if (rows2 == 1) {
Matrix result = createMatrix(rows1, cols1);
Matrix copy2 = broadCastCols(matrix2, rows1, cols1);
// add und return
for (int i = 0; i < (rows1 * cols1); i++) { // addieren
result.buffer[i] =
(matrix1.buffer[i] +
copy2.buffer[i]); // buffer[i] ⇔ *(buffer + i) Adresse =
// Startadresse + (i * sizeof(MatrixType))
} else {
Matrix newMatrix2 = broadcastingRows(matrix2, rows1);
// add
Matrix result = createMatrix(newMatrix2.rows, newMatrix2.cols);
<<<<<<< HEAD
if (result.buffer == NULL){
return (Matrix){0,0,NULL};
}
for (int i = 0; i< rows1; i++) {
for (int j= 0; j< cols1; j++){
int valueM1= getMatrixAt(matrix1, i, j);
int valueM2= getMatrixAt(newMatrix2, i, j);
int sum = valueM1 + valueM2;
setMatrixAt(sum, result, i, j);
=======
if (result.buffer == NULL) {
return (Matrix){0, 0, NULL};
>>>>>>> main
}
for (int i = 0; i < rows1; i++) {
for (int j = 0; j < cols1; j++) {
int valueM1 = getMatrixAt(matrix1, i, j);
int valueM2 = getMatrixAt(newMatrix2, i, j);
int sum = valueM1 + valueM2;
setMatrixAt(sum, result, i, j);
}
}
return result;
}
else {
printf("Fehlermeldung"); // vielleicht Fehlermeldung ändern zu
// Programmabbruch
Matrix error = {0, 0, NULL};
return error;
}
} else {
// kein add möglich
Matrix errorMatrix = {0, 0, NULL};
return errorMatrix;
}
else {
printf(
"Fehlermeldung"); // vielleicht Fehlermeldung ändern zu Programmabbruch
Matrix error = {0, 0, NULL};
return error;
}
return result;
}
Matrix multiply(const Matrix matrix1, const Matrix matrix2) {
// Spalten1 müssen gleich zeilen2 sein! dann multiplizieren
if (matrix1.cols == matrix2.rows) {
@@ -245,4 +263,4 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2) {
Matrix errorMatrix = {0, 0, NULL};
return errorMatrix;
}
}
}
+44 -21
View File
@@ -5,32 +5,55 @@
#include <stdlib.h>
#include <string.h>
/*typedef struct
{
Matrix weights;
Matrix biases;
ActivationFunctionType activation;
} Layer;
typedef struct
{
Layer *layers;
unsigned int numberOfLayers;
} NeuralNetwork;*/
/*Layer: Ebene im neuronalen Netzwerk, besteht aus mehreren Neuronen
Input-Layer: Eingabedatei
Hidden-Layer: verarbeiten die Daten
Output-Layer: Ergebnis
Gewichte: bestimmen, wie stark ein Eingangssignal auf ein Neuron wirkt
Dimension: Form der Matrizen für einen Layer*/
// speichert NeuralNetwork nn in binäre Datei->erzeugt Dateiformat
static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn) {
FILE *f = fopen(path, "wb");
if (f == NULL)
return;
FILE *fptr = fopen(path, "wb"); // Binärdatei zum Schreiben öffnen
if (fptr == NULL)
return; // file konnte nicht geöffnet werden
/* 1) Header: exakt das String, ohne '\n' oder abschließendes '\0' */
const char header[] = "__info2_neural_network_file_format__";
fwrite(header, sizeof(char), strlen(header), f);
// Header ist Erkennungsstring am Anfang der Datei, loadmodel erkennt
// Dateiformat
const char header[] =
"__info2_neural_network_file_format__"; // header vor jedem Layer
fwrite(header, sizeof(char), strlen(header), fptr);
/* Wenn es keine Layer gibt, kein Dimensionspaar schreiben (loadModel
wird beim Lesen dann 0 zurückgeben). Aber wir können auch frühzeitig
mit einem 0-Int terminieren — beides ist in Ordnung. */
// Wenn es keine Layer gibt, 0 eintragen, LoadModel gibt 0 zurück
if (nn.numberOfLayers == 0) {
/* optional: schreibe ein 0 als next outputDimension (nicht nötig) */
int zero = 0;
fwrite(&zero, sizeof(int), 1, f);
fclose(f);
fwrite(&zero, sizeof(int), 1, fptr);
fclose(fptr);
return;
}
/* 2) Für die erste Layer schreiben wir inputDimension und outputDimension */
/* inputDimension == weights.cols, outputDimension == weights.rows */
// Layer 0, inputDimension: Anzahl Input-Neuronen, outputDimension: Anzahl
// Output-Neuronen
int inputDim = (int)nn.layers[0].weights.cols;
int outputDim = (int)nn.layers[0].weights.rows;
fwrite(&inputDim, sizeof(int), 1, f);
fwrite(&outputDim, sizeof(int), 1, f);
fwrite(&inputDim, sizeof(int), 1, fptr);
fwrite(&outputDim, sizeof(int), 1, fptr);
/* 3) Für jede Layer in Reihenfolge: Gewichte (output x input), Biases (output
x 1). Zwischen Layern wird nur die nächste outputDimension (int)
@@ -46,28 +69,28 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn) {
/* Gewichte (MatrixType binär) */
if (wcount > 0 && layer.weights.buffer != NULL) {
fwrite(layer.weights.buffer, sizeof(MatrixType), (size_t)wcount, f);
fwrite(layer.weights.buffer, sizeof(MatrixType), (size_t)wcount, fptr);
}
/* Biases (MatrixType binär) */
if (bcount > 0 && layer.biases.buffer != NULL) {
fwrite(layer.biases.buffer, sizeof(MatrixType), (size_t)bcount, f);
fwrite(layer.biases.buffer, sizeof(MatrixType), (size_t)bcount, fptr);
}
/* Für die nächste Layer: falls vorhanden, schreibe deren outputDimension */
if (i + 1 < nn.numberOfLayers) {
int nextOutput = (int)nn.layers[i + 1].weights.rows;
fwrite(&nextOutput, sizeof(int), 1, f);
fwrite(&nextOutput, sizeof(int), 1, fptr);
} else {
/* Letzte Layer: wir können das Ende signalisieren, indem wir ein 0
schreiben. loadModel liest dann outputDimension = 0 und beendet die
Schleife. */
int zero = 0;
fwrite(&zero, sizeof(int), 1, f);
fwrite(&zero, sizeof(int), 1, fptr);
}
}
fclose(f);
fclose(fptr);
}
void test_loadModelReturnsCorrectNumberOfLayers(void) {