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+137
-5
@@ -6,17 +6,149 @@
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#define BUFFER_SIZE 100
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#define FILE_HEADER_STRING "__info2_image_file_format__"
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// TODO Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
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// TODO Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
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// DONE Implementieren Sie geeignete Hilfsfunktionen für das Lesen der Bildserie aus einer Datei
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unsigned int readStatusInfo (FILE *const source, GrayScaleImageSeries *const series, char *const headerString, int const sizeToRead, int const amountToRead);
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void readImagedata (FILE *const source, GrayScaleImageSeries *const series, int const amountToRead);
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unsigned int checkHeaderString (const char *const header);
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// DONE Vervollständigen Sie die Funktion readImages unter Benutzung Ihrer Hilfsfunktionen
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GrayScaleImageSeries *readImages(const char *path)
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{
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GrayScaleImageSeries *series = NULL;
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GrayScaleImageSeries *series = NULL;
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FILE *readSource = 0;
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const unsigned int sizeOfStausInfoElementsInBytes = 2;
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const unsigned int amountOfStatusInfoToRead = 1;
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unsigned int numberOfBytesToRead = 0;
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unsigned int expectedHeader = 0;
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char headerString[sizeof(FILE_HEADER_STRING)] = "";
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readSource = fopen(path, "rb");
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if (readSource != NULL)
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{
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series = calloc(sizeof(unsigned int) + 3* sizeof(headerString), amountOfStatusInfoToRead);
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series->images = calloc(2*sizeof(unsigned int) + sizeof(headerString), amountOfStatusInfoToRead);
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numberOfBytesToRead = readStatusInfo(readSource, series, headerString, sizeOfStausInfoElementsInBytes, amountOfStatusInfoToRead);
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expectedHeader = checkHeaderString(headerString);
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series->images->buffer = calloc((series->count) * numberOfBytesToRead, sizeof(GrayScalePixelType));
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series->labels = calloc((series->count), sizeof(&(series->labels)));
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if (expectedHeader)
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{
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// reallocate memory so that each image width can be saved seperately
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series->images = realloc(series->images, series->count * 2 * sizeof(unsigned int) + sizeof(headerString));
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for (int i = 0; i < series->count; i++)
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{
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series->images[i].width = series->images->width;
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series->images[i].height = series->images->height;
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}
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readImagedata(readSource, series, numberOfBytesToRead);
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}
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else
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{
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series = NULL;
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}
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fclose(readSource);
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}
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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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// DONE 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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int i = 0;
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// Write NULL into all memory spaces
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for (i = 0; i < ((series->count) * (series->images->width) * (series->images->height) / 4); i++)
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{
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*(series->images->buffer + i * 4 * (series->images->width) * (series->images->height)) = '\0';
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}
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for (i = 0; i < (series->count); i++)
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{
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*(series->labels + i) = '\0';
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}
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series->count = 0;
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series->images->width = 0;
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series->images->height = 0;
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// Closse all allocated memory
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// AND write NULL into every pointer
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// so they can't be accessed
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free(series->images->buffer);
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series->images->buffer = NULL;
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free(series->labels);
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series->labels = NULL;
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free(series->images);
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series->images = NULL;
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free(series);
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series = NULL;
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}
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// reads headerString, pictureCount, pictureWidth, pictureHight
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unsigned int readStatusInfo(FILE *const source, GrayScaleImageSeries *const series, char *const headerString, int const sizeToRead, int const amountToRead)
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{
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unsigned int bytesToRead = 0;
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fread(headerString, sizeof(FILE_HEADER_STRING) - 1, amountToRead, source);
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fread(&(series->count), sizeToRead, amountToRead, source);
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fread(&(series->images->width), sizeToRead, amountToRead, source);
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fread(&(series->images->height), sizeToRead, amountToRead, source);
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bytesToRead = (series->images->width) * (series->images->height);
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return bytesToRead;
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}
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// reads the imagebytes and the label of all images
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void readImagedata(FILE *const source, GrayScaleImageSeries *const series, int const amountOfBytes)
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{
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int i = 0;
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for (i = 0; i < series->count ; i++)
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{
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fread(&(series->images->buffer[i]), sizeof(*series->images->buffer), amountOfBytes, source);
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fread(&(series->labels[i]), sizeof(*series->images->buffer), sizeof(*series->labels), source);
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}
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}
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// checks if the read headerString matches the expected headerString
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unsigned int checkHeaderString(const char *const header)
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{
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int i = 0;
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int notIdenticall = 0;
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char expectedHeader[sizeof(FILE_HEADER_STRING)] = FILE_HEADER_STRING;
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for (i = 0; i < sizeof(FILE_HEADER_STRING); i++)
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{
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if (header[i] != expectedHeader[i])
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{
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notIdenticall = 1;
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}
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}
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return !notIdenticall;
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}
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+3
-4
@@ -9,19 +9,18 @@
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static void prepareImageFile(const char *path, unsigned short int width, unsigned short int height, unsigned int short numberOfImages, unsigned char label)
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{
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FILE *file = fopen(path, "wb");
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if(file != NULL)
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{
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const char *fileTag = "__info2_image_file_format__";
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GrayScalePixelType *zeroBuffer = (GrayScalePixelType *)calloc(numberOfImages * width * height, sizeof(GrayScalePixelType));
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if(zeroBuffer != NULL)
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{
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fwrite(fileTag, sizeof(fileTag[0]), strlen(fileTag), file);
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fwrite(&numberOfImages, sizeof(numberOfImages), 1, file);
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fwrite(&width, sizeof(width), 1, file);
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fwrite(&height, sizeof(height), 1, file);
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for(int i = 0; i < numberOfImages; i++)
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{
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fwrite(zeroBuffer, sizeof(GrayScalePixelType), width * height, file);
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@@ -30,7 +29,7 @@ static void prepareImageFile(const char *path, unsigned short int width, unsigne
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free(zeroBuffer);
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}
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fclose(file);
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}
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}
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@@ -39,7 +39,7 @@ void clearMatrix(Matrix *matrix)
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matrix->cols = 0;
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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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if(matrix.buffer == NULL)
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{
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@@ -5,10 +5,45 @@
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#include "unity.h"
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#include "neuralNetwork.h"
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#define FILE_HEADER_STRING "__info2_neural_network_file_format__"
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static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
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{
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// TODO
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FILE *f = fopen(path, "wb");
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if (!f) return;
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fwrite(FILE_HEADER_STRING, sizeof(char), strlen(FILE_HEADER_STRING), f);
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int inputDim = nn.layers[0].weights.cols;
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int outputDim = nn.layers[0].weights.rows;
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fwrite(&inputDim, sizeof(int), 1, f);
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fwrite(&outputDim, sizeof(int), 1, f);
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for (int i = 0; i < nn.numberOfLayers; i++)
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{
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Matrix weights = nn.layers[i].weights;
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Matrix biases = nn.layers[i].biases;
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int numWeightValues = weights.rows * weights.cols;
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int numBiasValues = biases.rows * biases.cols;
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fwrite(weights.buffer, sizeof(MatrixType), numWeightValues, f);
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fwrite(biases.buffer, sizeof(MatrixType), numBiasValues, f);
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if (i < nn.numberOfLayers - 1)
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{
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int nextOutputDim = nn.layers[i + 1].weights.rows;
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fwrite(&nextOutputDim, sizeof(int), 1, f);
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}
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}
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int endMarker = 0;
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fwrite(&endMarker, sizeof(int), 1, f);
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fclose(f);
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}
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void test_loadModelReturnsCorrectNumberOfLayers(void)
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Reference in New Issue
Block a user