generated from freudenreichan/info2Praktikum-NeuronalesNetz
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0c85fb19bc |
82
imageInput.c
82
imageInput.c
@ -1,4 +1,5 @@
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#include <stdio.h>
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#include <stdint.h>
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#include <stdlib.h>
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#include <string.h>
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#include "imageInput.h"
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@ -7,30 +8,22 @@
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#define FILE_HEADER_STRING "__info2_image_file_format__"
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/// @brief Gets the next char value from specified and opened file
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/// @param openedFile stream FILE, from which to read
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/// @param iterations how many chars are being taken from (1 char equals 2 Hexdecimals equals 8bit)
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static int getCharValueFromFile(FILE* openedFile, int iterations) {
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/// @brief Gets the next char value from specified and opened file in the moment that is only ONE short int.
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/// @param openedFile stream FILE, from which to read
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static int getCharValueFromFile(FILE* openedFile) {
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int addToFile = 0;
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if (openedFile == NULL) return 0;
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for (int i = 0; i < iterations; i++) {
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int tmp = fgetc(openedFile);
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//If the File ends, the method returns a '0'
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if (openedFile == EOF) return addToFile;
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addToFile += tmp;
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}
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addToFile = fgetc(openedFile);
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addToFile += fgetc(openedFile) * 256;
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return addToFile;
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}
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// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
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GrayScaleImageSeries *readImages(const char *path)
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GrayScaleImageSeries* readImages(const char *path)
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{
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GrayScaleImageSeries *series = NULL;
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// uint16_t
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FILE* openFile;
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openFile = fopen(path, "rb");
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@ -38,78 +31,91 @@ GrayScaleImageSeries *readImages(const char *path)
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// file Could not be opened/does not exist
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if (openFile != NULL) {
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char* actualFileTag = malloc(strlen(FILE_HEADER_STRING) * sizeof(char));
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char* actualFileTag = malloc(strlen(FILE_HEADER_STRING)+1 * sizeof(char));
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int numberOfImages = 0;
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int width = 0;
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int height = 0;
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for (int i = 0; i < strlen(FILE_HEADER_STRING); i++) {
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actualFileTag += fgetc(openFile);
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}
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char tmpFileChar = fgetc(openFile);
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// checks if the files are equal: strcmp should return '0' --> convert it to '1' for 'true'
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int fileTagEqual = !strcmp(actualFileTag, FILE_HEADER_STRING);
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if (tmpFileChar == EOF) {
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fclose(openFile);
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return NULL;
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}
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actualFileTag[i] = tmpFileChar;
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}
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actualFileTag[strlen(FILE_HEADER_STRING)] = '\0';
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// checks if the files are equal
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int fileTagEqual = strcmp(actualFileTag, FILE_HEADER_STRING);
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//we only need the fileTag to verify its an image for our series.
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free(actualFileTag);
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actualFileTag = NULL;
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if (fileTagEqual) {
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numberOfImages = getCharValueFromFile(openFile, 2);
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//only if equal, the method continues
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if (fileTagEqual == 0) {
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numberOfImages = getCharValueFromFile(openFile);
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// no Images in series -> No image-series
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if (numberOfImages == 0) {
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fclose(openFile);
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return series;
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return NULL;
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}
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width = getCharValueFromFile(openFile, 2);
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height = getCharValueFromFile(openFile, 2);
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width = getCharValueFromFile(openFile);
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height = getCharValueFromFile(openFile);
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// no height/width --> impossible file
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if(height == 0 || width == 0) {
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fclose(openFile);
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return series;
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return NULL;
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}
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//all the starting parameters are set --> the images can be read and stored
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GrayScaleImage* images = malloc(numberOfImages * sizeof(GrayScaleImage));
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unsigned char* labels = malloc(numberOfImages * sizeof(unsigned char));
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series = malloc(sizeof(GrayScaleImageSeries));
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series->count = 0;
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series->images = images;
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series->labels = labels;
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series->images = malloc(numberOfImages * sizeof(GrayScaleImage));
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series->labels = malloc(numberOfImages * sizeof(unsigned char));
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for (int i = 0; i < numberOfImages; i++) {
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for (int j = 0; j < width * height; j++) {
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// allocating the actual matrix image for image
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images[i].buffer = malloc(width * height);
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series->images[i].height = height;
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series->images[i].width = width;
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series->images[i].buffer = malloc(width * height);
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images[i].height = height;
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images[i].width = width;
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images[i].buffer[j] = fgetc(openFile);
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for (int j = 0; j < (width * height); j++) {
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// allocating the actual matrix image for image
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series->images[i].buffer[j] = fgetc(openFile);
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}
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//rest of the values that only affect the image itself
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series->labels[i] = fgetc(openFile);
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series->count++;
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}
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}
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// the fclose happens here, since every other path closes the file beforehand
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fclose (openFile);
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}
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fclose(openFile);
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return series;
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}
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// TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
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void clearSeries(GrayScaleImageSeries *series)
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{
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if (series == NULL) return;
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for (int i = 0; i < series->count; i++) {
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free(series->images[i].buffer);
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series->images[i].buffer = NULL;
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}
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free(series->images);
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series->images = NULL;
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free(series->labels);
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series->labels = NULL;
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free(series);
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series = NULL;
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}
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17
matrix.c
17
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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@ -34,7 +31,7 @@ Matrix createMatrix(size_t rows, size_t cols)
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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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for (int i = 0; i < matrix->rows; i++) {
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for (int j = 0; j < matrix->cols;j++) {
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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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@ -164,7 +164,6 @@ NeuralNetwork loadModel(const char *path)
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assignActivations(model);
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}
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printf("%d\n", model.numberOfLayers);
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return model;
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}
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@ -13,30 +13,30 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
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if(file != NULL){
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const char *fileTag = "__info2_neural_network_file_format__";
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// Write file header
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//Write header
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fwrite(fileTag, sizeof(char), strlen(fileTag), file);
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// Write the input dimension of the first layer
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//Write the input dimension of the first layer
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if(nn.numberOfLayers > 0){
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fwrite(&nn.layers[0].weights.cols, sizeof(int), 1, file);
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}
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// Write dimensions and data for each layer
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//Write each layer into file
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for(int i = 0; i < nn.numberOfLayers; i++){
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// Write output dimension (rows of weights)
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//Write output dimension
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fwrite(&nn.layers[i].weights.rows, sizeof(int), 1, file);
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// Write weight matrix data
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//Write weight data
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int weightSize = nn.layers[i].weights.rows * nn.layers[i].weights.cols;
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fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), weightSize, file);
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// Write bias matrix data
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//Write bias data
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int biasSize = nn.layers[i].biases.rows * nn.layers[i].biases.cols;
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fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), biasSize, file);
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}
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// Write terminating 0 to signal end of layers
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//EOF Terminator
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int zero = 0;
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fwrite(&zero, sizeof(int), 1, file);
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