generated from freudenreichan/info2Praktikum-NeuronalesNetz
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dev_kob
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5ce0982e17
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No files matched your search
@@ -1,5 +1,7 @@
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mnist
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runTests
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runMatrixTests
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runImageInputTests
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runNeuralNetworkTests
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*.o
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*.exe
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@@ -1,6 +1,7 @@
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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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@@ -70,36 +71,52 @@ Matrix createMatrix(size_t rows, size_t cols)
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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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for (int i = 0; i < matrix->rows; i++) {
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for (int j = 0; j < matrix->cols;j++) {
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matrix->buffer[i-1 + matrix->rows*(j-1)] = UNDEFINED_MATRIX_VALUE;
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// Normally one would expect to work matrices like this, but it is supposed to be the other way around.
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// matrix->buffer[i + matrix->rows * j] = UNDEFINED_MATRIX_VALUE;
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matrix->buffer[j + matrix->cols * i] = UNDEFINED_MATRIX_VALUE;
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}
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}
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free(matrix->buffer);
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matrix->rows = 0;
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matrix->cols = 0;
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matrix->buffer = NULL;
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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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matrix.buffer[rowIdx-1 + matrix.rows*(colIdx-1)] = value;
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//checks, if the given incies are allowed
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if((rowIdx) < matrix.rows && (colIdx) < matrix.cols) {
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// Normally one would expect to work matrices like this, but it is supposed to be the other way around.
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// matrix.buffer[rowIdx + matrix.rows*(colIdx)] = value;
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matrix.buffer[colIdx + matrix.cols * rowIdx] = value;
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}
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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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MatrixType returnVal;
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returnVal = matrix.buffer[rowIdx-1 + matrix.rows*(colIdx-1)];
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return returnVal;
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//checks, if the given indices are allowed
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if((rowIdx) < matrix.rows && (colIdx) < matrix.cols) {
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MatrixType returnVal;
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// Normally one would expect to work matrices like this, but it is supposed to be the other way around.
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// returnVal = matrix.buffer[rowIdx + matrix.rows*(colIdx)];
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returnVal = matrix.buffer[colIdx + rowIdx * matrix.cols];
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return returnVal;
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}
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else return 0;
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}
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/*
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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//check if the matrices are able to be added (same size)
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if (matrix1.cols == matrix2.cols && matrix1.rows == matrix2.rows){
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//size of the matrices should be the same, if the addition is supposed to happen
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// Matrix outputMatrix = createMatrix(matrix1.rows, matrix1.cols);
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Matrix outputMatrix = createMatrix(matrix1.rows, matrix1.cols);
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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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@@ -119,18 +136,104 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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}
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}
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*/
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//Currently working version
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/*
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Matrix add(const Matrix matrix1, const Matrix matrix2)
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{
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//check if the matrices are able to be added (same size)
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if (matrix1.cols != matrix2.cols && matrix1.rows != matrix2.rows){
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Matrix m = {NULL, 0, 0};
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return m;
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}
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//size of the matrices should be the same, if the addition is supposed to happen
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// Matrix outputMatrix = createMatrix(matrix1.rows, matrix1.cols);
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Matrix outputMatrix = createMatrix(matrix1.rows, matrix1.cols);
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if(!outputMatrix.buffer){
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Matrix m = {NULL, 0, 0};
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return m;
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}
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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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// outputmatrix.buffer[i][j] = matrix1.buffer[i][j] + matrix2.buffer[i][j];
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outputMatrix.buffer[i * outputMatrix.cols + j] = matrix1.buffer[i * matrix1.cols + j] + matrix2.buffer[i * matrix2.cols + j];
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}
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}
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return outputMatrix;
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}
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*/
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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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Matrix larger, smaller;
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if(matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols){
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larger = matrix1;
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smaller = matrix2;
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}
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else if (matrix1.rows == matrix2.rows && matrix2.cols == 1)
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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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}
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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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}
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else{
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Matrix m = {NULL, 0, 0};
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return m;
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}
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Matrix outputMatrix = createMatrix(larger.rows, larger.cols);
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if(doBroadcast){
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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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outputMatrix.buffer[i * outputMatrix.cols + j] = larger.buffer[i * larger.cols + j] + broadcastValue;
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}
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}
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} else{
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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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// outputmatrix.buffer[i][j] = matrix1.buffer[i][j] + matrix2.buffer[i][j];
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outputMatrix.buffer[i * outputMatrix.cols + j] = matrix1.buffer[i * matrix1.cols + j] + matrix2.buffer[i * matrix2.cols + j];
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}
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}
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}
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return outputMatrix;
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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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//check, if the matrices can be multiplied
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if (matrix1.rows == matrix2.cols) {
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Matrix outputMatrix = createMatrix(matrix1.rows, matrix2.cols);
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//Matrix outputMatrix = createMatrix(matrix2.cols, matrix1.rows);
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for(int i = 0; i < matrix1.rows; i++) {
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for (int j = 0; j < matrix2.cols; j++) {
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for (int k = 0; k < matrix2.rows; k++) {
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// how this should work in normal Matrix version:
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// outputMatrix.buffer[i][j] = matrix1.buffer[i][k] * matrix2.buffer[k][j];
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outputMatrix.buffer[i + outputMatrix.rows* j] = matrix1.buffer[i + matrix1.rows* k] * matrix2.buffer[k + matrix2.rows*j];
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outputMatrix.buffer[i + outputMatrix.rows * j] += matrix1.buffer[i + matrix1.rows * k] * matrix2.buffer[k + matrix2.rows * j];
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}
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}
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}
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@@ -143,4 +246,37 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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m.buffer = NULL;
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return m;
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}
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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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Matrix m = {NULL, 0, 0};
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return m;
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}
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Matrix outputMatrix = createMatrix(matrix1.rows, matrix2.cols);
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if(!outputMatrix.buffer){
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Matrix m = {NULL, 0, 0};
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return m;
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}
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//Matrix outputMatrix = createMatrix(matrix2.cols, matrix1.rows);
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for(int i = 0; i < matrix1.rows; i++) {
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for (int j = 0; j < matrix2.cols; j++) {
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MatrixType sum = 0;
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for (int k = 0; k < matrix1.cols; k++) {
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// how this should work in normal Matrix version:
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// outputMatrix.buffer[i][j] = matrix1.buffer[i][k] * matrix2.buffer[k][j];
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//outputMatrix.buffer[i + outputMatrix.rows * j] += matrix1.buffer[i + matrix1.rows * k] * matrix2.buffer[k + matrix2.rows * j];
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sum += matrix1.buffer[i * matrix1.cols + k] * matrix2.buffer[j + matrix2.cols * k];
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}
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outputMatrix.buffer[i * outputMatrix.cols + j] = sum;
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}
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}
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return outputMatrix;
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}
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