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inputDim aus for-Schleife gezogen

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Rebekka Haemmerl 2025-11-26 10:17:35 +01:00
parent cfe4720273
commit 628729096b
1 changed files with 19 additions and 20 deletions
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39
neuralNetworkTests.c
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@ -5,7 +5,6 @@
#include "unity.h" #include "unity.h"
#include "neuralNetwork.h" #include "neuralNetwork.h"
#define FILE_HEADER_STRING "__info2_neural_network_file_format__"
//Testdatei schreiben //Testdatei schreiben
static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn) static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
@ -15,30 +14,30 @@ FILE *file = fopen(path, "wb");
if (file == NULL) if (file == NULL)
return; return;
// Header inklusive Nullterminator schreiben // Header schreiben
fwrite(FILE_HEADER_STRING, sizeof(char), strlen(FILE_HEADER_STRING), file); const char *fileTag = "__info2_neural_network_file_format__";
fwrite(fileTag, 1, strlen(fileTag), file);
for (unsigned int i = 0; i < nn.numberOfLayers; i++) // input Dimension schreiben
{ int inputDim = nn.layers[0].weights.cols;
const Layer *layer = &nn.layers[i]; fwrite(&inputDim, sizeof(int), 1, file);
// für weiter Layer nur output Dimension schreiben
int inputDim = layer->weights.cols; // Spalten for (unsigned int i = 0; i < nn.numberOfLayers; i++)
int outputDim = layer->weights.rows; // Zeilen {
int outputDim = nn.layers[i].weights.rows;
fwrite(&outputDim, sizeof(int), 1, file);
// Dimensionen schreiben int weightCount = nn.layers[i].weights.rows * nn.layers[i].weights.cols;
fwrite(&inputDim, sizeof(int), 1, file); fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), weightCount, file);
fwrite(&outputDim, sizeof(int), 1, file);
// Gewichtswerte schreiben int biasesCount = nn.layers[i].biases.rows * nn.layers[i].biases.cols;
fwrite(layer->weights.buffer, sizeof(MatrixType), layer->weights.rows * layer->weights.cols, file); fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), biasesCount, file);
}
// Biaswerte schreiben // Ende: loadModel liest 0 ein
fwrite(layer->biases.buffer, sizeof(MatrixType), layer->biases.rows * layer->biases.cols, file); int fileEnd = 0;
} fwrite(&fileEnd, sizeof(int), 1, file);
int zero = 0;
fwrite(&zero, sizeof(int), 1, file);
// Datei schließen // Datei schließen
fclose(file); fclose(file);