unittests bestanden

This commit is contained in:
Jan Uhlmann 2025-11-23 16:38:17 +00:00
parent 84b65525a6
commit f4427d2892

View File

@ -5,29 +5,44 @@
#include "unity.h"
#include "neuralNetwork.h"
static void erzeugeMatrix(FILE *file, const Matrix *m)
static void writeLayer(FILE *file, const Matrix weights, const Matrix biases, unsigned int inputDim)
{
fwrite(&m->rows, sizeof(int), 1, file);
fwrite(&m->cols, sizeof(int), 1, file);
fwrite(m->buffer, sizeof(MatrixType), m->rows * m->cols, file);
unsigned int outputDim = (unsigned int)weights.rows;
fwrite(&outputDim, sizeof(unsigned int), 1, file);
if (weights.buffer != NULL)
fwrite(weights.buffer, sizeof(MatrixType), outputDim * inputDim, file);
if (biases.buffer != NULL)
fwrite(biases.buffer, sizeof(MatrixType), outputDim, file);
}
static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
{
FILE *file = fopen(path, "wb");
if (!file)
return;
if (!file) return;
const char *header = "__info2_neural_network_file_format__";
fwrite(header, sizeof(char), strlen(header), file);
fwrite(&nn.numberOfLayers, sizeof(int), 1, file);
const char tag[] = "__info2_neural_network_file_format__";
fwrite(tag, sizeof(char), strlen(tag), file);
if (nn.numberOfLayers == 0)
{
unsigned int zero = 0;
fwrite(&zero, sizeof(unsigned int), 1, file);
fclose(file);
return;
}
unsigned int inputDim = (unsigned int)nn.layers[0].weights.cols;
fwrite(&inputDim, sizeof(unsigned int), 1, file);
for (int i = 0; i < nn.numberOfLayers; i++)
{
erzeugeMatrix(file, &nn.layers[i].weights);
erzeugeMatrix(file, &nn.layers[i].biases);
writeLayer(file, nn.layers[i].weights, nn.layers[i].biases, inputDim);
inputDim = (unsigned int)nn.layers[i].weights.rows;
}
unsigned int zero = 0;
fwrite(&zero, sizeof(unsigned int), 1, file);
fclose(file);
}