neuralNetworkTests.c

@@ -5,46 +5,10 @@
 #include "unity.h"
 #include "neuralNetwork.h"
 
-static void writeLayer(FILE *file, const Matrix weights, const Matrix biases, unsigned int inputDim)
-{
-    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");
+    // TODO
-    if (!file) return;
-
-    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++)
-    {
-        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);
 }
 
 void test_loadModelReturnsCorrectNumberOfLayers(void)