inputDim aus for-Schleife gezogen

This commit is contained in:
Rebekka Haemmerl 2025-11-26 10:17:35 +01:00
parent cfe4720273
commit 628729096b

View File

@ -5,7 +5,6 @@
#include "unity.h"
#include "neuralNetwork.h"
#define FILE_HEADER_STRING "__info2_neural_network_file_format__"
//Testdatei schreiben
static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
@ -15,30 +14,30 @@ FILE *file = fopen(path, "wb");
if (file == NULL)
return;
// Header inklusive Nullterminator schreiben
fwrite(FILE_HEADER_STRING, sizeof(char), strlen(FILE_HEADER_STRING), file);
// Header schreiben
const char *fileTag = "__info2_neural_network_file_format__";
fwrite(fileTag, 1, strlen(fileTag), file);
for (unsigned int i = 0; i < nn.numberOfLayers; i++)
{
const Layer *layer = &nn.layers[i];
// input Dimension schreiben
int inputDim = nn.layers[0].weights.cols;
fwrite(&inputDim, sizeof(int), 1, file);
int inputDim = layer->weights.cols; // Spalten
int outputDim = layer->weights.rows; // Zeilen
// für weiter Layer nur output Dimension schreiben
for (unsigned int i = 0; i < nn.numberOfLayers; i++)
{
int outputDim = nn.layers[i].weights.rows;
fwrite(&outputDim, sizeof(int), 1, file);
// Dimensionen schreiben
fwrite(&inputDim, sizeof(int), 1, file);
fwrite(&outputDim, sizeof(int), 1, file);
int weightCount = nn.layers[i].weights.rows * nn.layers[i].weights.cols;
fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), weightCount, file);
// Gewichtswerte schreiben
fwrite(layer->weights.buffer, sizeof(MatrixType), layer->weights.rows * layer->weights.cols, file);
int biasesCount = nn.layers[i].biases.rows * nn.layers[i].biases.cols;
fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), biasesCount, file);
}
// Biaswerte schreiben
fwrite(layer->biases.buffer, sizeof(MatrixType), layer->biases.rows * layer->biases.cols, file);
}
int zero = 0;
fwrite(&zero, sizeof(int), 1, file);
// Ende: loadModel liest 0 ein
int fileEnd = 0;
fwrite(&fileEnd, sizeof(int), 1, file);
// Datei schließen
fclose(file);