Making sure we use the same seed for all experiments

mlp/src/mlp.cpp

@@ -23,6 +23,7 @@ Mlp::Mlp(std::vector<Layer> layers, unsigned int batch_size) :
 trainer(model, 0.001, 0.9, 0.999, 1e-8){
   this->batch_size = batch_size;
 
+  dynet::cleanup();
   dynet::initialize(get_default_params());
 
   this->layers = layers;

perceptron/lib/src/feat_vec.c

@@ -145,6 +145,7 @@ void feat_vec_fill_input_array_dnn(std::vector<float> & input,
     total_size += get_feature_size(i);
 
   input.resize(total_size, 0.0);
+  memset(&input[0], 0, total_size * sizeof input[0]);
 
   char string_value[100];
   int index = 0;