diff --git a/ppdet/ext_op/README.md b/ppdet/ext_op/README.md
index 6bfeb0e8843abeacedc7e062c0eb5636124a4644..0516cc70289d5238d4f3cf9299b7c133529154df 100644
--- a/ppdet/ext_op/README.md
+++ b/ppdet/ext_op/README.md
@@ -59,12 +59,9 @@ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:`python -c 'import paddle; print(paddle.
 执行下列单测，确保自定义算子可在网络中正确使用：
 
 ```
-# 回到 ext_op 目录，添加 PYTHONPATH
+# 回到 ext_op 目录，运行单测
 cd ..
-export PYTHONPATH=$PYTHONPATH:`pwd`
-
-# 运行单测
-python test/test_corner_op.py
+python test/test_corner_pool.py
 ```
 
 单测运行成功会输出提示信息，如下所示：
diff --git a/ppdet/ext_op/test/test_corner_pool.py b/ppdet/ext_op/test/test_corner_pool.py
index b0d10b8939a24a557533c192de01c80079331356..211aaaded08ba62d47505300e79ef895550621d4 100755
--- a/ppdet/ext_op/test/test_corner_pool.py
+++ b/ppdet/ext_op/test/test_corner_pool.py
@@ -17,7 +17,14 @@ from __future__ import print_function
 import unittest
 import numpy as np
 import paddle.fluid as fluid
-import cornerpool_lib
+import os
+import sys
+# add python path of PadleDetection to sys.path
+parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 4)))
+if parent_path not in sys.path:
+    sys.path.append(parent_path)
+
+from ppdet.ext_op import cornerpool_lib
 
 
 def bottom_pool_np(x):
@@ -83,11 +90,7 @@ class TestRightPoolOp(unittest.TestCase):
         place = fluid.CUDAPlace(0)
 
         with fluid.program_guard(tp, sp):
-            x = fluid.data(
-                name=self.name,
-                shape=x_shape,
-                dtype=x_type,
-                append_batch_size=False)
+            x = fluid.data(name=self.name, shape=x_shape, dtype=x_type)
             y = self.func_map[self.name][0](x)
 
             np.random.seed(0)
diff --git a/ppdet/modeling/anchor_heads/corner_head.py b/ppdet/modeling/anchor_heads/corner_head.py
index 01e1195b0c68bb66837db29a69ab6e6b9f9f5b6e..33a3a55ecf32b975bdb4ecef2b1b9b6abb0009c8 100644
--- a/ppdet/modeling/anchor_heads/corner_head.py
+++ b/ppdet/modeling/anchor_heads/corner_head.py
@@ -243,11 +243,6 @@ class CornerHead(object):
                  ae_threshold=1,
                  num_dets=1000,
                  top_k=100):
-        try:
-            import cornerpool_lib
-        except:
-            logger.error(
-                "cornerpool_lib not found, compile in ppdet/ext_op at first")
         self.train_batch_size = train_batch_size
         self.test_batch_size = test_batch_size
         self.num_classes = num_classes
@@ -279,6 +274,11 @@ class CornerHead(object):
         return conv1
 
     def get_output(self, input):
+        try:
+            from ppdet.ext_op import cornerpool_lib
+        except:
+            logger.error(
+                "cornerpool_lib not found, compile in ppdet/ext_op at first")
         for ind in range(self.stack):
             cnv = input[ind]
             tl_modules = corner_pool(
@@ -455,6 +455,11 @@ class CornerHead(object):
         return {'loss': loss}
 
     def get_prediction(self, input):
+        try:
+            from ppdet.ext_op import cornerpool_lib
+        except:
+            logger.error(
+                "cornerpool_lib not found, compile in ppdet/ext_op at first")
         ind = self.stack - 1
         tl_modules = corner_pool(
             input,