28 Commits
Author SHA1 Message Date
Max-R 4a1b6cbb40 Fehler 0 Matrix bei add abfangen 2025-11-25 10:13:01 +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
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
hofmannkr98890 97df88c0ab Merge pull request 'Krisp2' (#1) from Krisp2 into main
Reviewed-on: kachelto100370/info2Praktikum-NeuronalesNetz#1
2025-11-20 13:48:43 +00:00
hofmannkr98890 be07dcffcf Merge branch 'main' into Krisp2 2025-11-20 13:48:23 +00:00
Kristin 858673bdca makefile für alle Betriebssysteme 2025-11-20 14:46:14 +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
kachelto100370 619cd95a5c start wroking on image Input 2025-11-18 10:45:50 +01:00
Kristin 6b9711e47d Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kachelto100370/info2Praktikum-NeuronalesNetz into Krisp2 2025-11-18 10:15:56 +01:00
kachelto100370 653312f8a6 merge upstream 2025-11-18 09:15:45 +00:00
Kristin 2b751ef931 Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kachelto100370/info2Praktikum-NeuronalesNetz into Krisp2 2025-11-18 10:13:09 +01:00
Kristin 0081e8f89e data in buffer 2025-11-18 10:11:38 +01:00
kachelto100370 d8e759b436 merge upstream 2025-11-16 15:37:40 +00:00
Kristin 3c49920613 matrix.c und matrix.h, makefile für windows 2025-11-13 20:28:48 +01:00
kachelto100370 28944bd871 added createMatrix() + matrix data type 2025-11-11 11:15:40 +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
kachelto100370 29b2966c63 defined struct matrix 2025-11-11 09:54:31 +01:00
Max-R 0e3f03a03d Matrix definiert 2025-11-11 09:20:40 +01:00
kachelto100370 41c164d3b2 kleine config änderung 2025-11-11 09:20:18 +01:00
kachelto100370 b4bc2fae8a add Readme 2025-11-11 09:20:18 +01:00
42 changed files with 359 additions and 100 deletions
+3 -60
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@@ -1,61 +1,4 @@
# ---> C mnist
# Prerequisites runTests
*.d
# Object files
*.o *.o
*.ko *.exe
*.obj
*.elf
# Linker output
*.ilk
*.map
*.exp
# Precompiled Headers
*.gch
*.pch
# Libraries
*.lib
*.la
*.lo
# Shared objects (inc. Windows DLLs)
*.dll
*.so
*.so.*
*.dylib
# Executables
*.exe
*.out
*.app
*.i*86
*.x86_64
*.hex
Startcode/mnist
Startcode/runTests
# Debug files
*.dSYM/
*.su
*.idb
*.pdb
# Kernel Module Compile Results
*.mod*
*.cmd
.tmp_versions/
modules.order
Module.symvers
Mkfile.old
dkms.conf
# IDE folders
.vscode/
.idea/
# macOS
.DS_Store
+18
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@@ -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
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@@ -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
}
]
}
]
}
+59
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@@ -0,0 +1,59 @@
{
"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
}
+2
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@@ -0,0 +1,2 @@
# Projekt 2 für Informatik 2 Praktikum
-35
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@@ -1,35 +0,0 @@
#include <stdlib.h>
#include <string.h>
#include "matrix.h"
// TODO Matrix-Funktionen implementieren
Matrix createMatrix(unsigned int rows, unsigned int cols)
{
}
void clearMatrix(Matrix *matrix)
{
}
void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
{
}
MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
{
}
Matrix add(const Matrix matrix1, const Matrix matrix2)
{
}
Matrix multiply(const Matrix matrix1, const Matrix matrix2)
{
}
+8 -1
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@@ -7,16 +7,23 @@
#define FILE_HEADER_STRING "__info2_image_file_format__" #define FILE_HEADER_STRING "__info2_image_file_format__"
// TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei // TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
GrayScaleImage readImage()
{
}
// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen // TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
GrayScaleImageSeries *readImages(const char *path) GrayScaleImageSeries *readImages(const char *path)
{ {
GrayScaleImageSeries *series = NULL; GrayScaleImageSeries *series = NULL;
FILE *file = fopen("mnist_test.info2","rb");
char headOfFile;
series = malloc();
return series; return series;
} }
// TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt // TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
void clearSeries(GrayScaleImageSeries *series) void clearSeries(GrayScaleImageSeries *series)
{ {
} }
View File
+1 -1
View File
@@ -63,4 +63,4 @@ ifeq ($(OS),Windows_NT)
else else
rm -f *.o mnist runMatrixTests runNeuralNetworkTests runImageInputTests rm -f *.o mnist runMatrixTests runNeuralNetworkTests runImageInputTests
endif endif
+206
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@@ -0,0 +1,206 @@
#include "matrix.h"
#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) {
if (cols == 0 || rows == 0){
Matrix errorMatrix = {0, 0, NULL};
return errorMatrix;
}
MatrixType *buffer =
malloc(rows * cols * sizeof(MatrixType)); // Speicher reservieren, malloc
// liefert Zeiger auf Speicher
Matrix newMatrix = {rows, cols, buffer}; // neue Matrix nach struct
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
}
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
return;
}
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;
}
MatrixType value = matrix.buffer[rowIdx * matrix.cols + colIdx];
return value;
}
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(valueMatrix1, copy1,r,c);
}
}
return copy1;
}
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(valueMatrix1, copy1,r,c);
}
}
return copy1;
}
Matrix add(const Matrix matrix1, const Matrix matrix2) {
// Ergebnismatrix
Matrix result;
const int cols1 = matrix1.cols;
const int rows1 = matrix1.rows;
const int cols2 = matrix2.cols;
const int rows2 = matrix2.rows;
const int rowsEqual = (matrix1.rows==matrix2.rows) ? 1: 0;
const int colsEqual = (matrix1.cols==matrix2.cols) ? 1: 0;
// Broadcasting nur bei Vektor und Matrix, Fehlermeldung bei zwei unpassender
// Matrix
if (rowsEqual == 1 && colsEqual == 1){
Matrix result = createMatrix(matrix1.rows, matrix1.cols);
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);
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);
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);
}
}
return result;
}
else{
Matrix newMatrix2 = broadcastingCols(matrix2, cols1);
//add
Matrix result = createMatrix(newMatrix2.rows, newMatrix2.cols);
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);
}
}
return result;
}
}
else if ((rows1 ==1 || rows2 ==1) && colsEqual == 1){
if (rows1==1){
Matrix newMatrix = broadcastingRows(matrix1, rows2);
//add
Matrix result = createMatrix(newMatrix.rows, newMatrix.cols);
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);
}
}
return result;
}
else{
Matrix newMatrix2 = broadcastingRows(matrix2, rows1);
//add
Matrix result = createMatrix(newMatrix2.rows, newMatrix2.cols);
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);
}
}
return result;
}
}
else {
// kein add möglich
Matrix errorMatrix = {0, 0, NULL};
return errorMatrix;
}
return result;
}
Matrix multiply(const Matrix matrix1, const Matrix matrix2) {
//Spalten1 müssen gleich zeilen2 sein! dann multiplizieren
if (matrix1.cols == matrix2.rows){
Matrix multMatrix = createMatrix(matrix1.rows,matrix2.cols);
//durch neue matrix iterieren
for (int r=0; r< matrix1.rows; r++){
for (int c=0; c< matrix2.cols; c++){
MatrixType sum = 0.0;
//skalarprodukte berechnen, k damit die ganze zeile mal die ganze spalte genommen wird quasi
for (int k=0; k< matrix1.cols; k++){
//sum+= matrix1.buffer[r*matrix1.cols+k]*matrix2.buffer[k*matrix2.cols+c];
sum += getMatrixAt(matrix1, r, k)*getMatrixAt(matrix2, k, c);
}
//Ergebnisse in neue matrix speichern
setMatrixAt(sum, multMatrix, r, c);
}
}
return multMatrix;
}
//sonst fehler, kein multiply möglich
else{
Matrix errorMatrix = {0, 0, NULL};
return errorMatrix;
}
}
+9 -3
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@@ -6,14 +6,20 @@
typedef float MatrixType; typedef float MatrixType;
// TODO Matrixtyp definieren // TODO Matrixtyp definieren
typedef struct {
unsigned int rows;
unsigned int cols;
MatrixType *buffer;
} Matrix;
Matrix createMatrix(unsigned int rows, unsigned int cols); Matrix createMatrix(unsigned int rows, unsigned int cols);
void clearMatrix(Matrix *matrix); void clearMatrix(Matrix *matrix);
void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx); void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx,
MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx); unsigned int colIdx);
MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx,
unsigned int colIdx);
Matrix add(const Matrix matrix1, const Matrix matrix2); Matrix add(const Matrix matrix1, const Matrix matrix2);
Matrix multiply(const Matrix matrix1, const Matrix matrix2); Matrix multiply(const Matrix matrix1, const Matrix matrix2);
#endif #endif
+29
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@@ -0,0 +1,29 @@
Inhalte: Dynamische Speicherverwaltung, Strukturen, Dateien lesen.
Ziel: Die Bilder aus mnist_test.info 2 auslesen
Struktur für einlesen des Strings am Anfang der Datei:
int AnzahlBilder
int breiteBilder
int LaengeBilder
Struktur für Bilder:
unsinged int array Breite * Höhe
unsigned int Klasse (Label 0 - 9)
Speicher für Bilder dynamisch allokieren
GrayScaleImageSeries:
datei einlesen
header String aus der Datei lesen
mit header String den benötigten Speicher freigeben
in den Speicher die Datei einschreiben (mit Hilfsfunktion)
Hilfsfunktion (saveFile)
gehe zum Anfang des Strings
speicher alles der Reihe nach ein
clearSeries:
pointer der be malloc kommt nehemen
free()