gramppto99138/NeuesNeuesNeuralesNetzwerk
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Added some stuff to pNNF again

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This commit is contained in:
Lukas Weber 2025-11-26 13:47:07 +01:00
parent 0f28ee3f02
commit 0aa42abd43
2 changed files with 9 additions and 7 deletions
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3
neuralNetwork.c
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@ -133,6 +133,7 @@ NeuralNetwork loadModel(const char *path)
while(inputDimension > 0 && outputDimension > 0) while(inputDimension > 0 && outputDimension > 0)
{ {
printf("\nID: %d, OD: %d\n", inputDimension, outputDimension);
Layer layer = readLayer(file, inputDimension, outputDimension); Layer layer = readLayer(file, inputDimension, outputDimension);
Layer *layerBuffer = NULL; Layer *layerBuffer = NULL;
@ -155,7 +156,7 @@ NeuralNetwork loadModel(const char *path)
model.layers[model.numberOfLayers] = layer; model.layers[model.numberOfLayers] = layer;
model.numberOfLayers++; model.numberOfLayers++;
printf("\nNumber of Layers is now: %d\n", model.numberOfLayers);
inputDimension = outputDimension; inputDimension = outputDimension;
outputDimension = readDimension(file); outputDimension = readDimension(file);
} }

13
neuralNetworkTests.c
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@ -17,17 +17,18 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
const char* header = "__info2_neural_network_file_format__"; const char* header = "__info2_neural_network_file_format__";
fwrite(header, sizeof(const char), strlen(header), file); fwrite(header, sizeof(const char), strlen(header), file);
fwrite(&(nn.numberOfLayers), sizeof(unsigned int), 1, file);
fwrite(&(nn.numberOfLayers), sizeof(unsigned int), 1, file); for (int i = 0; i < nn.numberOfLayers; i++) {
fwrite(&(nn.layers[i].weights.cols), sizeof(unsigned int), 1, file);
fwrite(&(nn.layers[i].weights.rows), sizeof(unsigned int), 1, file);
}
for(int i = 0; i < nn.numberOfLayers; i++) { for(int i = 0; i < nn.numberOfLayers; i++) {
//write everything to do with weights //write everything to do with weights
fwrite(&(nn.layers[i].weights.rows), sizeof(unsigned int), 1, file);
fwrite(&(nn.layers[i].weights.cols), sizeof(unsigned int), 1, file);
fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), nn.layers[i].weights.rows * nn.layers[i].weights.cols, file); fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), nn.layers[i].weights.rows * nn.layers[i].weights.cols, file);
//write everything to do with biases //write everything to do with biases
fwrite(&(nn.layers[i].biases.rows), sizeof(unsigned int), 1, file);
fwrite(&(nn.layers[i].biases.cols), sizeof(unsigned int), 1, file);
fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), nn.layers[i].biases.rows * nn.layers[i].biases.cols, file); fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), nn.layers[i].biases.rows * nn.layers[i].biases.cols, file);
} }
fclose(file); fclose(file);