don't forget this file

inference.py

@@ -73,7 +73,7 @@ def main():
                  (args.model, sum([m.numel() for m in model.parameters()])))
 
     config = resolve_data_config(vars(args), model=model)
-    model, test_time_pool = model, False if args.no_test_pool else apply_test_time_pool(model, config)
+    model, test_time_pool = (model, False) if args.no_test_pool else apply_test_time_pool(model, config)
 
     if args.num_gpu > 1:
         model = torch.nn.DataParallel(model, device_ids=list(range(args.num_gpu))).cuda()