lower learning rate for obj/atr graph and word vectors

answer_classifier_cached_features/train.py

@@ -742,7 +742,7 @@ class attach_optimizer():
         with graph.tf_graph.as_default():
             all_trainable_vars = tf.trainable_variables()
 
-            self.not_to_train = []#graph.object_attribute_vars + graph.word_vec_vars
+            self.not_to_train = graph.object_attribute_vars + graph.word_vec_vars
 
             vars_to_train = [
                 var for var in all_trainable_vars
@@ -766,9 +766,9 @@ class attach_optimizer():
             self.optimizer = multi_rate_train.MultiRateOptimizer(
                 tf.train.AdamOptimizer)
 
-            # self.optimizer.add_variables(
-            #     self.graph.object_attribute_vars + self.graph.word_vec_vars,
-            #     learning_rate = 1.0*self.lr)
+            self.optimizer.add_variables(
+                self.graph.object_attribute_vars + self.graph.word_vec_vars,
+                learning_rate = 0.1*self.learning_rate)
 
             
             self.optimizer.add_variables(