bug fix: checkpoints

data/gan.py

@@ -103,7 +103,7 @@ class GNet :
                 CHECKPOINT_SKIPS = 10
                 if self.MAX_EPOCHS  < 2*CHECKPOINT_SKIPS :
                         CHECKPOINT_SKIPS = 2
-                self.CHECKPOINTS = np.repeat( np.divide(self.MAX_EPOCHS,CHECKPOINT_SKIPS),CHECKPOINT_SKIPS ).cumsum().astype(int).tolist() 
+                self.CHECKPOINTS = [1,self.MAX_EPOCHS] + np.repeat( np.divide(self.MAX_EPOCHS,CHECKPOINT_SKIPS),CHECKPOINT_SKIPS ).cumsum().astype(int).tolist() 
                 
                 
 
@@ -529,7 +529,7 @@ class Train (GNet):
                         train_d, w_distance, iterator_d, features_placeholder_d, labels_placeholder_d = self.network(stage='D', opt=opt_d)
                         train_g, _, iterator_g, features_placeholder_g, labels_placeholder_g = self.network(stage='G', opt=opt_g)
                         # saver = tf.train.Saver()
-                        saver   = tf.compat.v1.train.Saver()
+                        saver   = tf.compat.v1.train.Saver(max_to_keep=len(self.CHECKPOINTS))
                         # init    = tf.global_variables_initializer()
                         init    = tf.compat.v1.global_variables_initializer()
                         logs = []
@@ -587,7 +587,9 @@ class Train (GNet):
                         tf.compat.v1.reset_default_graph()
                 #
                 # let's sort the epochs we've logged thus far (if any)
+                # Take on the last five checkpoints https://stackoverflow.com/questions/41018454/tensorflow-checkpoint-models-getting-deleted
                 #
+                # self.logs['epochs']  = self.logs['epochs'][-5:]
                 self.logs['epochs'].sort(key=lambda _item: _item['loss'])
                 if self.logger :
                         _log = {'module':'gan-train','action':'epochs','input':self.logs['epochs']}