Test commit

neuralNetwork.c

@@ -155,7 +155,6 @@ NeuralNetwork loadModel(const char *path)
 
                 model.layers[model.numberOfLayers] = layer;
                 model.numberOfLayers++;
-
                 inputDimension = outputDimension;
                 outputDimension = readDimension(file);
             }

neuralNetworkTests.c

@@ -14,20 +14,21 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
 		printf("Failed to open file");
 		return;
 	}
-
+	printf("\nLayers in pNNF: %d\n", nn.numberOfLayers);
 	const char* header = "__info2_neural_network_file_format__";
 	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++) {
 		//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);
 
 		//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);
 	}
 	fclose(file);
@@ -47,6 +48,7 @@ void test_loadModelReturnsCorrectNumberOfLayers(void)
     Layer layers[] = {{.weights=weights1, .biases=biases1}, {.weights=weights2, .biases=biases2}};
 
     NeuralNetwork expectedNet = {.layers=layers, .numberOfLayers=2};
+	printf("\nexpectedNetLayers: %d", expectedNet.numberOfLayers);
     NeuralNetwork netUnderTest;
 
     prepareNeuralNetworkFile(path, expectedNet);