generated from freudenreichan/info2Praktikum-NeuronalesNetz
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6
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a2f2be5592 | ||
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82c335ca89 | ||
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05a29b50c6 | ||
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8ef0d7688f | ||
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32cf681534 |
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@@ -1,5 +1,7 @@
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mnist
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mnist
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runTests
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runTests
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runMatrixTests
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runMatrixTests
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runImageInputTests
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runNeuralNetworkTests
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*.o
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*.o
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*.exe
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*.exe
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@@ -42,7 +42,7 @@ Matrix createMatrix(unsigned int rows, unsigned int cols)
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}
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}
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*/
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*/
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Matrix createMatrix(size_t rows, size_t cols)
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Matrix createMatrix(size_t cols, size_t rows)
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{
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{
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Matrix m;
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Matrix m;
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m.rows = rows;
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m.rows = rows;
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@@ -70,29 +70,35 @@ Matrix createMatrix(size_t rows, size_t cols)
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return m;
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return m;
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}
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}
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void clearMatrix(Matrix *matrix)
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void clearMatrix(Matrix *matrix)
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{
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{
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for (int i = 0; i < matrix->rows; i++) {
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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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for (int j = 0; j < matrix->cols;j++) {
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matrix->buffer[i + matrix->rows* j] = UNDEFINED_MATRIX_VALUE;
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matrix->buffer[i + matrix->rows * j] = UNDEFINED_MATRIX_VALUE;
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}
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}
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}
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}
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free(matrix->buffer);
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free(matrix->buffer);
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matrix->rows = 0;
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matrix->rows = 0;
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matrix->cols = 0;
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matrix->cols = 0;
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matrix->buffer = NULL;
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}
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}
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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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) matrix.buffer[rowIdx + matrix.rows*(colIdx)] = 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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MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
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{
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{
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MatrixType returnVal;
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//checks, if the given indices are allowed
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returnVal = matrix.buffer[rowIdx-1 + matrix.rows*(colIdx-1)];
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if((rowIdx) < matrix.rows && (colIdx) < matrix.cols) {
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return returnVal;
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MatrixType returnVal;
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returnVal = matrix.buffer[rowIdx + matrix.rows*(colIdx)];
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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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Matrix add(const Matrix matrix1, const Matrix matrix2)
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@@ -100,7 +106,8 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
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//check if the matrices are able to be added (same size)
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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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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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//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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Matrix outputMatrix = createMatrix(matrix1.cols, matrix1.rows);
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for (int i = 0; i < matrix1.rows;i++) {
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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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for (int j = 0; j < matrix1.cols; j++) {
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// how this should work in normal Matrix version:
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// how this should work in normal Matrix version:
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@@ -124,13 +131,14 @@ Matrix multiply(const Matrix matrix1, const Matrix matrix2)
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{
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{
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//check, if the matrices can be multiplied
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//check, if the matrices can be multiplied
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if (matrix1.rows == matrix2.cols) {
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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(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 i = 0; i < matrix1.rows; i++) {
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for (int j = 0; j < matrix2.cols; j++) {
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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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for (int k = 0; k < matrix2.rows; k++) {
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// how this should work in normal Matrix version:
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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][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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}
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}
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}
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