diff --git a/utilz.py b/utilz.py
index d5b4a7f..7a5c54a 100644
--- a/utilz.py
+++ b/utilz.py
@@ -56,7 +56,7 @@ def wrapper(*args, **kwargs):
 from tqdm import tqdm as _tqdm
 
 def tqdm(a):
-    return _tqdm(a) if CONFIG().tqdm else a
+    return _tqdm(a) if config.CONFIG.tqdm else a
 
 
 def squeeze(lol):
@@ -151,7 +151,7 @@ def LongVar(array, requires_grad=False):
 
 def Var(array, requires_grad=False):
     ret =  Variable(torch.Tensor(array), requires_grad=requires_grad)
-    if CONFIG.cuda:
+    if config.CONFIG.cuda:
         ret = ret.cuda()
 
     return ret
@@ -167,25 +167,31 @@ def init_hidden(batch_size, cell):
         hidden  = Variable(torch.zeros(layers, batch_size, cell.hidden_size))
         context = Variable(torch.zeros(layers, batch_size, cell.hidden_size))
     
-        if CONFIG.cuda:
+        if config.CONFIG.cuda:
             hidden  = hidden.cuda()
             context = context.cuda()
         return hidden, context
 
     if isinstance(cell, (nn.GRU, nn.GRUCell)):
         hidden  = Variable(torch.zeros(layers, batch_size, cell.hidden_size))
-        if CONFIG.cuda:
+        if config.CONFIG.cuda:
             hidden  = hidden.cuda()
         return hidden
     
 class Averager(list):
-    def __init__(self, filename=None, *args, **kwargs):
+    def __init__(self, filename=None, ylim=None, *args, **kwargs):
         super(Averager, self).__init__(*args, **kwargs)
+        self.filename = filename
+        self.ylim = ylim
         if filename:
-            open(filename, 'w').close()
+            try:
+                f = '{}.pkl'.format(filename)
+                if os.path.isfile(f):
+                    log.debug('loading {}'.format(f))
+                    self.extend(pickle.load(open(f, 'rb')))
+            except:
+                open(filename, 'w').close()
 
-        self.filename = filename
-        
     @property
     def avg(self):
         if len(self):