fix debugging bug in expreplay

tensorpack/RL/expreplay.py

@@ -72,9 +72,7 @@ class ExpReplay(DataFlow, Callback):
 
         with tqdm(total=self.init_memory_size) as pbar:
             while len(self.mem) < self.init_memory_size:
-                from copy import deepcopy
-                self.mem.append(deepcopy(self.mem[0]))
-                #self._populate_exp()
+                self._populate_exp()
                 pbar.update()
         self._init_memory_flag.set()
 

tensorpack/models/batch_norm.py

@@ -64,7 +64,6 @@ def BatchNorm(x, use_local_stat=True, decay=0.9, epsilon=1e-5):
         ema_apply_op = ema.apply([batch_mean, batch_var])
         ema_mean, ema_var = ema.average(batch_mean), ema.average(batch_var)
 
-
         G = tf.get_default_graph()
         try:
             mean_name = re.sub('towerp[0-9]+/', '', ema_mean.name)

tensorpack/train/trainer.py

@@ -90,9 +90,9 @@ class EnqueueThread(threading.Thread):
                 pass
             except Exception:
                 logger.exception("Exception in EnqueueThread:")
+            finally:
                 self.sess.run(self.close_op)
                 self.coord.request_stop()
-            finally:
                 logger.info("Enqueue Thread Exited.")
 
 class QueueInputTrainer(Trainer):