Merge branch 'RMax' matrix.c voll

.vscode/c_cpp_properties.json

@@ -0,0 +1,18 @@
+{
+  "configurations": [
+    {
+      "name": "windows-gcc-x64",
+      "includePath": [
+        "${workspaceFolder}/**"
+      ],
+      "compilerPath": "C:/ProgramData/mingw64/mingw64/bin/gcc.exe",
+      "cStandard": "${default}",
+      "cppStandard": "${default}",
+      "intelliSenseMode": "windows-gcc-x64",
+      "compilerArgs": [
+        ""
+      ]
+    }
+  ],
+  "version": 4
+}

.vscode/launch.json

@@ -0,0 +1,24 @@
+{
+  "version": "0.2.0",
+  "configurations": [
+    {
+      "name": "C/C++ Runner: Debug Session",
+      "type": "cppdbg",
+      "request": "launch",
+      "args": [],
+      "stopAtEntry": false,
+      "externalConsole": true,
+      "cwd": "c:/Users/Max-R/I2Pr/repoKachelto/I2-Pr_neuronalesNetz/info2Praktikum-NeuronalesNetz",
+      "program": "c:/Users/Max-R/I2Pr/repoKachelto/I2-Pr_neuronalesNetz/info2Praktikum-NeuronalesNetz/build/Debug/outDebug",
+      "MIMode": "gdb",
+      "miDebuggerPath": "gdb",
+      "setupCommands": [
+        {
+          "description": "Enable pretty-printing for gdb",
+          "text": "-enable-pretty-printing",
+          "ignoreFailures": true
+        }
+      ]
+    }
+  ]
+}

.vscode/settings.json

@@ -0,0 +1,59 @@
+{
+  "C_Cpp_Runner.cCompilerPath": "gcc",
+  "C_Cpp_Runner.cppCompilerPath": "g++",
+  "C_Cpp_Runner.debuggerPath": "gdb",
+  "C_Cpp_Runner.cStandard": "",
+  "C_Cpp_Runner.cppStandard": "",
+  "C_Cpp_Runner.msvcBatchPath": "C:/Program Files/Microsoft Visual Studio/VR_NR/Community/VC/Auxiliary/Build/vcvarsall.bat",
+  "C_Cpp_Runner.useMsvc": false,
+  "C_Cpp_Runner.warnings": [
+    "-Wall",
+    "-Wextra",
+    "-Wpedantic",
+    "-Wshadow",
+    "-Wformat=2",
+    "-Wcast-align",
+    "-Wconversion",
+    "-Wsign-conversion",
+    "-Wnull-dereference"
+  ],
+  "C_Cpp_Runner.msvcWarnings": [
+    "/W4",
+    "/permissive-",
+    "/w14242",
+    "/w14287",
+    "/w14296",
+    "/w14311",
+    "/w14826",
+    "/w44062",
+    "/w44242",
+    "/w14905",
+    "/w14906",
+    "/w14263",
+    "/w44265",
+    "/w14928"
+  ],
+  "C_Cpp_Runner.enableWarnings": true,
+  "C_Cpp_Runner.warningsAsError": false,
+  "C_Cpp_Runner.compilerArgs": [],
+  "C_Cpp_Runner.linkerArgs": [],
+  "C_Cpp_Runner.includePaths": [],
+  "C_Cpp_Runner.includeSearch": [
+    "*",
+    "**/*"
+  ],
+  "C_Cpp_Runner.excludeSearch": [
+    "**/build",
+    "**/build/**",
+    "**/.*",
+    "**/.*/**",
+    "**/.vscode",
+    "**/.vscode/**"
+  ],
+  "C_Cpp_Runner.useAddressSanitizer": false,
+  "C_Cpp_Runner.useUndefinedSanitizer": false,
+  "C_Cpp_Runner.useLeakSanitizer": false,
+  "C_Cpp_Runner.showCompilationTime": false,
+  "C_Cpp_Runner.useLinkTimeOptimization": false,
+  "C_Cpp_Runner.msvcSecureNoWarnings": false
+}

README.md

@@ -0,0 +1,2 @@
+# Projekt 2 für Informatik 2 Praktikum
+  

imageInput.c

@@ -7,16 +7,23 @@
 #define FILE_HEADER_STRING "__info2_image_file_format__"
 
 // TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
+GrayScaleImage readImage()
+{
+
+}
 
 // TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
 GrayScaleImageSeries *readImages(const char *path)
 {
     GrayScaleImageSeries *series = NULL;
-    
+    FILE *file = fopen("mnist_test.info2","rb");
+    char headOfFile;
+    series = malloc();
     return series;
 }
 
 // TODO Vervollständigen Sie die Funktion clearSeries, welche eine Bildserie vollständig aus dem Speicher freigibt
 void clearSeries(GrayScaleImageSeries *series)
 {
+
 }

imageInputTests.c

@@ -54,7 +54,7 @@ void test_readImagesReturnsCorrectImageWidth(void)
     GrayScaleImageSeries *series = NULL;
     const unsigned short expectedWidth = 10;
     const char *path = "testFile.info2";
-    prepareImageFile(path, 8, expectedWidth, 2, 1);
+    prepareImageFile(path, expectedWidth, 8, 2, 1);
     series = readImages(path);
     TEST_ASSERT_NOT_NULL(series);
     TEST_ASSERT_NOT_NULL(series->images);
@@ -70,7 +70,7 @@ void test_readImagesReturnsCorrectImageHeight(void)
     GrayScaleImageSeries *series = NULL;
     const unsigned short expectedHeight = 10;
     const char *path = "testFile.info2";
-    prepareImageFile(path, expectedHeight, 8, 2, 1);
+    prepareImageFile(path, 8, expectedHeight, 2, 1);
     series = readImages(path);
     TEST_ASSERT_NOT_NULL(series);
     TEST_ASSERT_NOT_NULL(series->images);

makefile

@@ -63,4 +63,4 @@ ifeq ($(OS),Windows_NT)
 else
 	rm -f *.o mnist runMatrixTests runNeuralNetworkTests runImageInputTests
 endif
-
+ 

matrix.c

@@ -1,35 +1,191 @@
+#include "matrix.h"
 #include <stdlib.h>
 #include <string.h>
-#include "matrix.h"
-
 // TODO Matrix-Funktionen implementieren
-
-Matrix createMatrix(unsigned int rows, unsigned int cols)
-{
-    
+/*typedef struct {
+    unsigned int rows;  //Zeilen
+    unsigned int cols; //Spalten
+    MatrixType *buffer; //Zeiger auf Speicherbereich Reihen*Spalten
+} Matrix;*/
+Matrix createMatrix(unsigned int rows, unsigned int cols) {
+  if (cols == 0 || rows == 0){
+    Matrix errorMatrix = {0, 0, NULL};
+    return errorMatrix;
+  }
+  MatrixType *buffer =
+      malloc(rows * cols * sizeof(MatrixType)); // Speicher reservieren, malloc
+                                                // liefert Zeiger auf Speicher
+  Matrix newMatrix = {rows, cols, buffer};      // neue Matrix nach struct
+  return newMatrix;
 }
-
-void clearMatrix(Matrix *matrix)
-{
-    
+void clearMatrix(Matrix *matrix) {
+  matrix->buffer = UNDEFINED_MATRIX_VALUE;
+  matrix->rows = UNDEFINED_MATRIX_VALUE;
+  matrix->cols = UNDEFINED_MATRIX_VALUE;
+  free((*matrix).buffer); // Speicher freigeben
 }
+void setMatrixAt(const MatrixType value, Matrix matrix,
+                 const unsigned int rowIdx, // Kopie der Matrix wird übergeben
+                 const unsigned int colIdx) {
 
-void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
-{
-    
+  if (rowIdx >= matrix.rows || colIdx >= matrix.cols) {
+    // Speichergröße nicht überschreiten
+    return;
+  }
+  matrix.buffer[rowIdx * matrix.cols + colIdx] = value; 
+    // rowIdx * matrix.cols -> Beginn der Zeile colIdx ->Spalte
+    // innerhalb der Zeile
 }
+MatrixType getMatrixAt(const Matrix matrix,
+                       unsigned int rowIdx, // Kopie der Matrix wird übergeben
+                       unsigned int colIdx) {
+  if (rowIdx >= matrix.rows ||
+      colIdx >= matrix.cols) { // Speichergröße nicht überschreiten
+    return 0;
+  }
 
-MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
-{
-    
+  MatrixType value = matrix.buffer[rowIdx * matrix.cols + colIdx];
+
+  return value;
 }
-
-Matrix add(const Matrix matrix1, const Matrix matrix2)
-{
-    
+Matrix broadcastingCols(const Matrix matrix, const unsigned int cols){
+  Matrix copy1 = createMatrix(matrix.rows, cols);               
+      for (int r= 0; r < matrix.rows; r++){
+        MatrixType valueMatrix1 = getMatrixAt(matrix, r, 0);
+        for (int c=0; c < cols; c++){
+          setMatrixAt(valueMatrix1, copy1,r,c);
+        }
+      }
+      return copy1;
 }
+Matrix broadcastingRows(const Matrix matrix, const unsigned int rows){
+  Matrix copy1 = createMatrix(rows, matrix.cols);               
+      for (int c= 0; c < matrix.cols; c++){
+        MatrixType valueMatrix1 = getMatrixAt(matrix, 0, c);
+        for (int r=0; r < rows; r++){
+          setMatrixAt(valueMatrix1, copy1,r,c);
+        }
+      }
+      return copy1;
 
-Matrix multiply(const Matrix matrix1, const Matrix matrix2)
-{
-    
-}
+}
+Matrix add(const Matrix matrix1, const Matrix matrix2) {
+
+  // Ergebnismatrix
+  Matrix result;
+  const int cols1 = matrix1.cols;
+  const int rows1 = matrix1.rows;
+  const int cols2 = matrix2.cols;
+  const int rows2 = matrix2.rows;
+
+
+  const int rowsEqual = (matrix1.rows==matrix2.rows) ? 1: 0;
+  const int colsEqual = (matrix1.cols==matrix2.cols) ? 1: 0;
+ 
+  // Broadcasting nur bei Vektor und Matrix, Fehlermeldung bei zwei unpassender
+  // Matrix
+  if (rowsEqual == 1 && colsEqual == 1){
+    Matrix result = createMatrix(matrix1.rows, matrix1.cols);
+    for (int i = 0; i< rows1; i++) {
+      for (int j= 0; j< cols1; j++){
+        int valueM1= getMatrixAt(matrix1, i, j);
+        int valueM2= getMatrixAt(matrix2, i, j);
+        int sum = valueM1 + valueM2;
+        setMatrixAt(sum, result, i, j);
+      }
+    }
+    return result;
+  }
+  else if (rowsEqual ==1 && (cols1 ==1 || cols2 ==1)){
+    if (cols1==1){                                          //broadcasting von vektor 1 zu matrix 1, add
+      Matrix newMatrix = broadcastingCols(matrix1, cols2);
+      //add
+      Matrix result = createMatrix(newMatrix.rows, newMatrix.cols);
+    for (int i = 0; i< rows1; i++) {
+      for (int j= 0; j< cols2; j++){
+        int valueM1= getMatrixAt(newMatrix, i, j);
+        int valueM2= getMatrixAt(matrix2, i, j);
+        int sum = valueM1 + valueM2;
+        setMatrixAt(sum, result, i, j);
+      }
+    }
+    return result;
+    }
+    else{
+      Matrix newMatrix2 = broadcastingCols(matrix2, cols1);
+      //add
+      Matrix result = createMatrix(newMatrix2.rows, newMatrix2.cols);
+    for (int i = 0; i< rows1; i++) {
+      for (int j= 0; j< cols1; j++){
+        int valueM1= getMatrixAt(matrix1, i, j);
+        int valueM2= getMatrixAt(newMatrix2, i, j);
+        int sum = valueM1 + valueM2;
+        setMatrixAt(sum, result, i, j);
+      }
+    }
+    return result;
+    }
+  }
+
+  else if ((rows1 ==1 || rows2 ==1) && colsEqual == 1){
+    if (rows1==1){                                         
+      Matrix newMatrix = broadcastingRows(matrix1, rows2);
+      //add
+      Matrix result = createMatrix(newMatrix.rows, newMatrix.cols);
+    for (int i = 0; i< rows2; i++) {
+      for (int j= 0; j< cols1; j++){
+        int valueM1= getMatrixAt(newMatrix, i, j);
+        int valueM2= getMatrixAt(matrix2, i, j);
+        int sum = valueM1 + valueM2;
+        setMatrixAt(sum, result, i, j);
+      }
+    }
+    return result;
+    }
+    else{
+      Matrix newMatrix2 = broadcastingRows(matrix2, rows1);
+      //add
+      Matrix result = createMatrix(newMatrix2.rows, newMatrix2.cols);
+    for (int i = 0; i< rows1; i++) {
+      for (int j= 0; j< cols1; j++){
+        int valueM1= getMatrixAt(matrix1, i, j);
+        int valueM2= getMatrixAt(newMatrix2, i, j);
+        int sum = valueM1 + valueM2;
+        setMatrixAt(sum, result, i, j);
+      }
+    }
+    return result;
+    }
+  }
+  else {
+    // kein add möglich
+    Matrix errorMatrix = {0, 0, NULL};
+    return errorMatrix;
+  }
+  return result;
+}
+Matrix multiply(const Matrix matrix1, const Matrix matrix2) { 
+  //Spalten1 müssen gleich zeilen2 sein! dann multiplizieren
+  if (matrix1.cols == matrix2.rows){
+    Matrix multMatrix = createMatrix(matrix1.rows,matrix2.cols);
+    //durch neue matrix iterieren
+    for (int r=0; r< matrix1.rows; r++){
+      for (int c=0; c< matrix2.cols; c++){
+        MatrixType sum = 0.0;
+        //skalarprodukte berechnen, k damit die ganze zeile mal die ganze spalte genommen wird quasi
+        for (int k=0; k< matrix1.cols; k++){
+          //sum+= matrix1.buffer[r*matrix1.cols+k]*matrix2.buffer[k*matrix2.cols+c];
+          sum += getMatrixAt(matrix1, r, k)*getMatrixAt(matrix2, k, c);
+        }
+        //Ergebnisse in neue matrix speichern
+        setMatrixAt(sum, multMatrix, r, c);
+      }
+    }
+    return multMatrix;
+  }
+  //sonst fehler, kein multiply möglich
+  else{
+    Matrix errorMatrix = {0, 0, NULL};
+    return errorMatrix;
+  }
+}

matrix.h

@@ -6,14 +6,20 @@
 typedef float MatrixType;
 
 // TODO Matrixtyp definieren
+typedef struct {
+  unsigned int rows;
+  unsigned int cols;
+  MatrixType *buffer;
 
+} Matrix;
 
 Matrix createMatrix(unsigned int rows, unsigned int cols);
 void clearMatrix(Matrix *matrix);
-void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx);
-MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx);
+void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx,
+                 unsigned int colIdx);
+MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx,
+                       unsigned int colIdx);
 Matrix add(const Matrix matrix1, const Matrix matrix2);
 Matrix multiply(const Matrix matrix1, const Matrix matrix2);
 
-
 #endif

matrixTests.c

@@ -71,6 +71,32 @@ void test_addFailsOnDifferentInputDimensions(void)
     TEST_ASSERT_EQUAL_UINT32(0, result.cols);
 }
 
+void test_addSupportsBroadcasting(void)
+{
+    MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
+    MatrixType buffer2[] = {7, 8};
+    Matrix matrix1 = {.rows=2, .cols=3, .buffer=buffer1};
+    Matrix matrix2 = {.rows=2, .cols=1, .buffer=buffer2};
+
+    Matrix result1 = add(matrix1, matrix2);
+    Matrix result2 = add(matrix2, matrix1);
+
+    float expectedResults[] = {8, 9, 10, 12, 13, 14};
+
+    TEST_ASSERT_EQUAL_UINT32(matrix1.rows, result1.rows);
+    TEST_ASSERT_EQUAL_UINT32(matrix1.cols, result1.cols);
+    TEST_ASSERT_EQUAL_UINT32(matrix1.rows, result2.rows);
+    TEST_ASSERT_EQUAL_UINT32(matrix1.cols, result2.cols);
+
+    TEST_ASSERT_EQUAL_INT(sizeof(expectedResults)/sizeof(expectedResults[0]), result1.rows * result1.cols);
+    TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, result1.buffer, result1.cols * result1.rows);
+    TEST_ASSERT_EQUAL_INT(sizeof(expectedResults)/sizeof(expectedResults[0]), result2.rows * result2.cols);
+    TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, result2.buffer, result2.cols * result2.rows);
+
+    free(result1.buffer);
+    free(result2.buffer);
+}
+
 void test_multiplyReturnsCorrectResults(void)
 {
     MatrixType buffer1[] = {1, 2, 3, 4, 5, 6};
@@ -138,7 +164,7 @@ void test_setMatrixAtFailsOnIndicesOutOfRange(void)
     Matrix matrixToTest = {.rows=2, .cols=3, .buffer=buffer};
 
     setMatrixAt(-1, matrixToTest, 2, 3);
-    TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, matrixToTest.buffer, matrixToTest.cols * matrixToTest.rows);
+    TEST_ASSERT_EQUAL_FLOAT_ARRAY(expectedResults, matrixToTest.buffer, sizeof(buffer)/sizeof(MatrixType));
 }
 
 void setUp(void) {
@@ -159,6 +185,7 @@ int main()
     RUN_TEST(test_clearMatrixSetsMembersToNull);
     RUN_TEST(test_addReturnsCorrectResult);
     RUN_TEST(test_addFailsOnDifferentInputDimensions);
+    RUN_TEST(test_addSupportsBroadcasting);
     RUN_TEST(test_multiplyReturnsCorrectResults);
     RUN_TEST(test_multiplyFailsOnWrongInputDimensions);
     RUN_TEST(test_getMatrixAtReturnsCorrectResult);

neuralN_readFiles

@@ -0,0 +1,29 @@
+Inhalte: Dynamische Speicherverwaltung, Strukturen, Dateien lesen.
+
+Ziel: Die Bilder aus mnist_test.info 2 auslesen
+
+Struktur für einlesen des Strings am Anfang der Datei:
+	int AnzahlBilder
+	int breiteBilder
+	int LaengeBilder
+
+Struktur für Bilder:
+	unsinged int array Breite * Höhe
+	unsigned int Klasse (Label 0 - 9)
+
+
+Speicher für Bilder dynamisch allokieren
+
+GrayScaleImageSeries:
+	datei einlesen
+	header String aus der Datei lesen
+	mit header String den benötigten Speicher freigeben
+	in den Speicher die Datei einschreiben (mit Hilfsfunktion)
+
+Hilfsfunktion (saveFile)
+	gehe zum Anfang des Strings
+	speicher alles der Reihe nach ein
+
+clearSeries:
+	pointer der be malloc kommt nehemen
+	free()