diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index 13a1c8e079d42a71ed5b069ce3ce218698df4dce..06a14295a81d3872d3a07c78494810d8a3a9c9bc 100755
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -5061,7 +5061,7 @@ def l2_normalize(x, axis, epsilon=1e-12, name=None):
         
         X = paddle.randn(shape=[3, 5], dtype='float64')
         out = paddle.fluid.layers.l2_normalize(X, axis=-1)
-        print(out.numpy())
+        print(out)
 
         # [[ 0.21558504  0.56360189  0.47466096  0.46269539 -0.44326736]
         #  [-0.70602414 -0.52745777  0.37771788 -0.2804768  -0.04449922]
diff --git a/python/paddle/fluid/tests/unittests/test_norm_op.py b/python/paddle/fluid/tests/unittests/test_norm_op.py
index af81d15717a7036b5ea9c42e3c75b865754a4cd9..6b424e03cc24389be53039a7530bd4f96c58c30d 100644
--- a/python/paddle/fluid/tests/unittests/test_norm_op.py
+++ b/python/paddle/fluid/tests/unittests/test_norm_op.py
@@ -41,10 +41,10 @@ class TestNormOp(OpTest):
         self.outputs = {'Out': y, 'Norm': norm}
 
     def test_check_output(self):
-        self.check_output(atol=1e-5)
+        self.check_output()
 
     def test_check_grad(self):
-        self.check_grad(['X'], 'Out', max_relative_error=0.008)
+        self.check_grad(['X'], 'Out')
 
     def init_test_case(self):
         self.shape = [2, 3, 4, 5]
@@ -97,6 +97,9 @@ class TestNormOp6(TestNormOp):
     def init_dtype(self):
         self.dtype = "float32"
 
+    def test_check_grad(self):
+        self.check_grad(['X'], 'Out', max_relative_error=0.008)
+
 
 @unittest.skipIf(not fluid.core.is_compiled_with_cuda(),
                  "core is not compiled with CUDA")