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NeuralNetworkTest fertig?

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Björn 2025-11-17 23:02:54 +01:00
parent 8c2ed38abf
commit 934ba2d06e
1 changed files with 33 additions and 22 deletions
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55
neuralNetworkTests.c
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@ -9,39 +9,50 @@
static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn) static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
{ {
// TODO : Fehlerbehandlung // TODO : Fehlerbehandlung
// Öffne die Datei zum Schreiben im Binärmodus
FILE *file = fopen(path, "wb"); FILE *file = fopen(path, "wb");
if (!file) { if (!file) return;
perror("Fehler beim Öffnen der Datei");
// Schreibe den Datei-Tag
const char *tag = "__info2_neural_network_file_format__";
fwrite(tag, 1, strlen(tag), file);
// Schreibe die Anzahl der Layer
if (nn.numberOfLayers == 0) {
fclose(file);
return; return;
} }
const char *header = "__info2_neural_network_file_format__"; // Schreibe die Eingabe- und Ausgabegrößen des Netzwerks
fwrite(header, sizeof(char), strlen(header), file); int input = nn.layers[0].weights.cols;
int output = nn.layers[0].weights.rows;
for (unsigned int i = 0; i < nn.numberOfLayers; i++) { fwrite(&input, sizeof(int), 1, file);
Layer layer = nn.layers[i]; fwrite(&output, sizeof(int), 1, file);
unsigned int inputDim = (i == 0) ? layer.weights.cols : 0; // nur beim ersten Layer // Schreibe die Layer-Daten
unsigned int outputDim = layer.weights.rows; for (int i = 0; i < nn.numberOfLayers; i++)
{
const Layer *layer = &nn.layers[i];
int out = layer->weights.rows;
int in = layer->weights.cols;
if (i == 0) {
// erstes Layer: inputDim und outputDim schreiben fwrite(layer->weights.buffer, sizeof(MatrixType), out * in, file);
fwrite(&inputDim, sizeof(unsigned int), 1, file);
fwrite(&outputDim, sizeof(unsigned int), 1, file);
} else { fwrite(layer->biases.buffer, sizeof(MatrixType), out * 1, file);
// nur outputDim für weitere Layer
fwrite(&outputDim, sizeof(unsigned int), 1, file); if (i + 1 < nn.numberOfLayers)
{
int nextOut = nn.layers[i + 1].weights.rows;
fwrite(&nextOut, sizeof(int), 1, file);
}
} }
fwrite(layer.weights.buffer, sizeof(MatrixType), layer.weights.rows * layer.weights.cols, file);
fwrite(layer.biases.buffer, sizeof(MatrixType), layer.biases.rows * layer.biases.cols, file);
}
unsigned int zero = 0;
fwrite(&zero, sizeof(unsigned int), 1, file);
fclose(file); fclose(file);
// Debug // Debuging-Ausgabe
printf("prepareNeuralNetworkFile: Datei '%s' erstellt mit %u Layer(n)\n", path, nn.numberOfLayers); printf("prepareNeuralNetworkFile: Datei '%s' erstellt mit %u Layer(n)\n", path, nn.numberOfLayers);
for (unsigned int i = 0; i < nn.numberOfLayers; i++) { for (unsigned int i = 0; i < nn.numberOfLayers; i++) {
Layer layer = nn.layers[i]; Layer layer = nn.layers[i];