diff --git a/cnocr/symbols/crnn.py b/cnocr/symbols/crnn.py
index 394189101d301a6c957fe10071eebf67a83c2f53..f5914e891b82578a59e1047a808a93dc72eb585c 100644
--- a/cnocr/symbols/crnn.py
+++ b/cnocr/symbols/crnn.py
@@ -42,6 +42,7 @@ def gen_network(model_name, hp):
             else (64, 128, 256, 512)
         )
         densenet = DenseNet(layer_channels)
+        densenet.hybridize()
         model = CRnn(hp, densenet)
     elif model_name.startswith('conv-lite'):
         hp.seq_len_cmpr_ratio = 4
diff --git a/tests/test_models.py b/tests/test_models.py
index 75f303990da9ba64eb7a2ce80fa2a9b4e184d7a2..8c6d834b3d80028ce4e0dd01b35ac1dba7d95e80 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -1,7 +1,6 @@
 # coding: utf-8
 import os
 import sys
-import logging
 from copy import deepcopy
 import pytest
 import mxnet as mx
@@ -44,7 +43,7 @@ def test_densenet():
     net.initialize()
     y = net(x)
     logger.info(net)
-    logger.info(y.shape)  # (128, 512, 1, 69)
+    logger.info(y.shape)  # (128, 512, 1, 70)
     assert y.shape[2] == 1
     logger.info('number of parameters: %d', cal_num_params(net))  # 1748224