fixed to be compatible with python 3

@@ -93,7 +93,7 @@ class DTN(object):
             
             
             # spatial size for convolution
             # spatial size for convolution
             s = self.output_size
             s = self.output_size
-            s2, s4, s8, s16 = s/2, s/4, s/8, s/16     # 32, 16, 8, 4
+            s2, s4, s8, s16 = int(s/2), int(s/4), int(s/8), int(s/16)     # 32, 16, 8, 4
             
             
             # project and reshape z 
             # project and reshape z 
             h1= linear(z, s16*s16*self.dim_gf*8, name='g_h1')     # (batch_size, 2*2*512)
             h1= linear(z, s16*s16*self.dim_gf*8, name='g_h1')     # (batch_size, 2*2*512)

@@ -51,7 +51,11 @@ class Solver(object):
         else:
         else:
             image_file = os.path.join(image_path, 'test.images.hkl')
             image_file = os.path.join(image_path, 'test.images.hkl')
         
         
-        images = hickle.load(image_file)
+        try:
+            images = hickle.load(image_file)
+        except:
+            hickle.load(images, image_file)
+            
         images = images / 127.5 - 1
         images = images / 127.5 - 1
         print ('finished loading mnist image dataset..!')
         print ('finished loading mnist image dataset..!')
         return images
         return images