generated from freudenreichan/info2Praktikum-NeuronalesNetz
refractor and cleanup matrix.c
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matrix.c
15
matrix.c
@ -1,9 +1,6 @@
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#include <stdlib.h>
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#include <string.h>
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#include "matrix.h"
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#include <stdbool.h>
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// TODO Matrix-Funktionen implementieren
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Matrix createMatrix(size_t rows, size_t cols)
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{
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@ -17,7 +14,7 @@ Matrix createMatrix(size_t rows, size_t cols)
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return m;
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}
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// Single allocation for entire matrix
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//Allocate Matrix buffer
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m.buffer = malloc(rows * cols * sizeof(MatrixType));
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if(!m.buffer){
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@ -25,7 +22,7 @@ Matrix createMatrix(size_t rows, size_t cols)
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return m;
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}
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// Initialize (optional)
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//Initialize matrix with default value
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for(unsigned int i = 0; i < rows * cols; i++){
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m.buffer[i] = UNDEFINED_MATRIX_VALUE;
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}
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@ -75,7 +72,7 @@ MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int co
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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bool doBroadcast = false;
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unsigned int doBroadcast = 0;
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Matrix larger, smaller;
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if(matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols){
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@ -86,13 +83,13 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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larger = matrix1;
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smaller = matrix2;
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doBroadcast = true;
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doBroadcast = 1;
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}
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else if (matrix1.rows == matrix2.rows && matrix1.cols == 1)
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{
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larger = matrix2;
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smaller = matrix1;
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doBroadcast = true;
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doBroadcast = 1;
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}
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else{
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Matrix m = {NULL, 0, 0};
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@ -101,6 +98,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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Matrix outputMatrix = createMatrix(larger.rows, larger.cols);
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if(doBroadcast){
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//Broadcasting
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for(int i = 0; i < outputMatrix.rows; i++){
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MatrixType broadcastValue = smaller.buffer[i];
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for(int j = 0; j < outputMatrix.cols; j++){
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@ -108,6 +106,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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}
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}
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} else{
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//Classic execution
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for (int i = 0; i < matrix1.rows;i++) {
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for (int j = 0; j < matrix1.cols; j++) {
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// how this should work in normal Matrix version:
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