neuralNetwork.c

@@ -164,7 +164,7 @@ NeuralNetwork loadModel(const char *path)
 
         assignActivations(model);
     }
-    printf("%d\n", model.numberOfLayers);
+
     return model;
 }
 

neuralNetwork.sh

@@ -1 +0,0 @@
-make clean && make && make neuralNetworkTests 

neuralNetworkTests.c

@@ -8,41 +8,9 @@
 
 static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
 {
-    FILE *file = fopen(path, "wb");
+    // TODO
-
-    if(file != NULL){
-        const char *fileTag = "__info2_neural_network_file_format__";
-        
-        // Write file header
-        fwrite(fileTag, sizeof(char), strlen(fileTag), file);
-        
-        // Write the input dimension of the first layer
-        if(nn.numberOfLayers > 0){
-            fwrite(&nn.layers[0].weights.cols, sizeof(int), 1, file);
-        }
-        
-        // Write dimensions and data for each layer
-        for(int i = 0; i < nn.numberOfLayers; i++){
-            
-            // Write output dimension (rows of weights)
-            fwrite(&nn.layers[i].weights.rows, sizeof(int), 1, file);
-            
-            // Write weight matrix data
-            int weightSize = nn.layers[i].weights.rows * nn.layers[i].weights.cols;
-            fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), weightSize, file);
-            
-            // Write bias matrix data
-            int biasSize = nn.layers[i].biases.rows * nn.layers[i].biases.cols;
-            fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), biasSize, file);
-        }
-        
-        // Write terminating 0 to signal end of layers
-        int zero = 0;
-        fwrite(&zero, sizeof(int), 1, file);
-        
-        fclose(file);
-    }
 }
+
 void test_loadModelReturnsCorrectNumberOfLayers(void)
 {
     const char *path = "some__nn_test_file.info2";