forked from freudenreichan/info2Praktikum-NeuronalesNetz
173 lines
4.7 KiB
C
173 lines
4.7 KiB
C
#include <stdlib.h>
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#include <string.h>
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#include <stdio.h>
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#include "matrix.h"
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// TODO Matrix-Funktionen implementieren
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Matrix createMatrix(unsigned int rows, unsigned int cols)
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{
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Matrix m;
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m.rows = rows;
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m.cols = cols;
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m.buffer = (MatrixType*)malloc(sizeof(MatrixType) * rows * cols);
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// Prüfe auf ungültige Dimensionen
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if (rows == 0 || cols == 0) {
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m.rows = 0;
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m.cols = 0;
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m.buffer = NULL;
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return m;
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}
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if (m.buffer == NULL){
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fprintf(stderr, "Error: Memory allocation failed in createMatrix!.\n");
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m.rows = 0;
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m.cols = 0;
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return m;
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}
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for (unsigned int i = 0; i < rows * cols; i++){
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m.buffer[i] = 0.0f;
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}
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return m;
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}
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void clearMatrix(Matrix *matrix)
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{
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if (matrix == NULL) {
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return;
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}
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// Speicher freigeben falls vorhanden
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if (matrix->buffer != NULL) {
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free(matrix->buffer);
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matrix->buffer = NULL;
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}
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// Dimensionen zurücksetzen
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matrix->rows = 0;
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matrix->cols = 0;
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}
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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if (rowIdx >= matrix.rows || colIdx >= matrix.cols) {
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fprintf(stderr, "Error: setMatrixAt index out of bounds.\n");
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return;
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}
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matrix.buffer[rowIdx * matrix.cols + colIdx] = value;
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}
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MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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if (rowIdx >= matrix.rows || colIdx >= matrix.cols) {
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fprintf(stderr, "Error: getMatrixAt index out of bounds.\n");
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return UNDEFINED_MATRIX_VALUE;
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}
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return matrix.buffer[rowIdx * matrix.cols + colIdx];
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}
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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Matrix result;
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// Fall 1: Normale elementweise Addition (gleiche Dimensionen)
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if (matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols) {
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result = createMatrix(matrix1.rows, matrix1.cols);
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if (result.buffer == NULL) {
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return result;
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}
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for (unsigned int i = 0; i < matrix1.rows; i++) {
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for (unsigned int j = 0; j < matrix1.cols; j++) {
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setMatrixAt(
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getMatrixAt(matrix1, i, j) + getMatrixAt(matrix2, i, j),
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result,
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i, j
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);
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}
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}
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return result;
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}
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// Fall 2: Broadcasting - matrix2 ist Spaltenvektor (cols=1)
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else if (matrix1.rows == matrix2.rows && matrix2.cols == 1) {
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result = createMatrix(matrix1.rows, matrix1.cols);
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if (result.buffer == NULL) {
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return result;
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}
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for (unsigned int i = 0; i < matrix1.rows; i++) {
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for (unsigned int j = 0; j < matrix1.cols; j++) {
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// matrix2 hat nur 1 Spalte (Index 0), wird über alle Spalten verteilt
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setMatrixAt(
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getMatrixAt(matrix1, i, j) + getMatrixAt(matrix2, i, 0),
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result,
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i, j
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);
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}
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}
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return result;
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}
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// Fall 3: Broadcasting - matrix1 ist Spaltenvektor (cols=1)
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else if (matrix2.rows == matrix1.rows && matrix1.cols == 1) {
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result = createMatrix(matrix2.rows, matrix2.cols);
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if (result.buffer == NULL) {
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return result;
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}
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for (unsigned int i = 0; i < matrix2.rows; i++) {
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for (unsigned int j = 0; j < matrix2.cols; j++) {
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// matrix1 hat nur 1 Spalte (Index 0), wird über alle Spalten verteilt
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setMatrixAt(
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getMatrixAt(matrix1, i, 0) + getMatrixAt(matrix2, i, j),
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result,
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i, j
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);
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}
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}
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return result;
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}
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// Fall 4: Ungültige Dimensionen
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else {
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fprintf(stderr, "Error: Matrix dimensions do not match for addition.\n");
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Matrix empty = {0, 0, NULL};
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return empty;
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}
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}
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Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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{
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if (matrix1.cols != matrix2.rows) {
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fprintf(stderr, "Error: Invalid matrix dimensions for multiplication.\n");
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Matrix empty = {0, 0, NULL};
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return empty;
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}
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Matrix result = createMatrix(matrix1.rows, matrix2.cols);
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if (result.buffer == NULL) {
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return result;
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}
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for (unsigned int i = 0; i < matrix1.rows; i++) {
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for (unsigned int j = 0; j < matrix2.cols; j++) {
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MatrixType sum = 0.0f;
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for (unsigned int k = 0; k < matrix1.cols; k++) {
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sum += getMatrixAt(matrix1, i, k) * getMatrixAt(matrix2, k, j);
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}
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setMatrixAt(sum, result, i, j);
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}
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}
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return result;
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} |