generated from freudenreichan/info2Praktikum-NeuronalesNetz
95 lines
2.7 KiB
C
95 lines
2.7 KiB
C
#include <stdlib.h>
|
|
#include <string.h>
|
|
#include "matrix.h"
|
|
|
|
Matrix createMatrix(unsigned int rows, unsigned int cols)
|
|
{
|
|
Matrix matrix = {NULL, 0, 0}; // NUll init
|
|
|
|
if(rows > 0 && cols > 0)
|
|
{
|
|
matrix.buffer = (MatrixType *)calloc((size_t)rows * cols, sizeof(MatrixType));
|
|
|
|
if(matrix.buffer != NULL) //sichergehn das Buffer holen geklappt hat, dann setzen
|
|
{
|
|
matrix.rows = rows;
|
|
matrix.cols = cols;
|
|
}
|
|
}
|
|
|
|
return matrix;
|
|
}
|
|
|
|
void clearMatrix(Matrix *matrix)
|
|
{
|
|
if(matrix != NULL) //Check ob die Matrix nicht eh schon leer ist
|
|
{
|
|
free(matrix->buffer); //memory freen
|
|
matrix->buffer = NULL; // buffer entfernen
|
|
matrix->rows = 0;
|
|
matrix->cols = 0;
|
|
}
|
|
}
|
|
|
|
// Helper Function, um zuschauen ob Index zugriff valide ist.
|
|
static int isValidIndex(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx){
|
|
return matrix.buffer != NULL && rowIdx < matrix.rows && colIdx < matrix.cols;
|
|
}
|
|
|
|
void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
|
|
{
|
|
if(isValidIndex(matrix, rowIdx, colIdx))
|
|
matrix.buffer[rowIdx * matrix.cols + colIdx] = value;
|
|
}
|
|
|
|
MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
|
|
{
|
|
// Für Zugriff auf Row2, Col2, also m6, muss man im Buffer Die Positionen um 1 row +
|
|
MatrixType value;
|
|
|
|
if(isValidIndex(matrix, rowIdx, colIdx))
|
|
value = matrix.buffer[rowIdx * matrix.cols + colIdx];
|
|
return value;
|
|
}
|
|
|
|
static int haveSameDimensions(const Matrix matrix1, const Matrix matrix2)
|
|
{
|
|
return matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols;
|
|
}
|
|
|
|
Matrix addBroadcast(const Matrix matrix, const Matrix vector){
|
|
// Broadcasting Add von Matrix + Vector
|
|
Matrix result = createMatrix(0, 0);
|
|
}
|
|
|
|
static int isBroadcastable(const Matrix matrix1, const Matrix matrix2){
|
|
// Check Broadcastable
|
|
}
|
|
|
|
Matrix addElementwise(const Matrix matrix1, const Matrix matrix2){
|
|
// addieren der Matrizen
|
|
Matrix result = createMatrix(0, 0);
|
|
}
|
|
|
|
|
|
Matrix add(const Matrix matrix1, const Matrix matrix2)
|
|
{
|
|
Matrix result = {NULL, 0, 0};
|
|
|
|
if(matrix1.buffer != NULL && matrix2.buffer != NULL){
|
|
if(haveSameDimensions(matrix1, matrix2)){
|
|
// result = NULL; //addElementwise
|
|
} else if(isBroadcastable(matrix1, matrix2)) { // Check ob Matrix2 ein Vector ist
|
|
// result = NULL; //addBroadcast
|
|
} else if(isBroadcastable(matrix1, matrix2)) { // Check ob Matrix2 ein Vector ist
|
|
// result = NULL; //addBroadcast
|
|
}
|
|
}
|
|
return result;
|
|
}
|
|
|
|
Matrix multiply(const Matrix matrix1, const Matrix matrix2)
|
|
{
|
|
//kann man Matrizen multiplizieren, größen Check
|
|
|
|
} |