diff --git a/test/modules/test_other_modules.py b/test/modules/test_other_modules.py
new file mode 100644
index 00000000..908b7b5d
--- /dev/null
+++ b/test/modules/test_other_modules.py
@@ -0,0 +1,30 @@
+
+
+import torch
+import unittest
+
+from fastNLP.modules.other_modules import GroupNorm, LayerNormalization, BiLinear
+
+
+class TestGroupNorm(unittest.TestCase):
+    def test_case_1(self):
+        gn = GroupNorm(num_features=1, num_groups=10, eps=1.5e-5)
+        x = torch.randn((20, 50, 10))
+        y = gn(x)
+
+
+class TestLayerNormalization(unittest.TestCase):
+    def test_case_1(self):
+        ln = LayerNormalization(d_hid=5, eps=2e-3)
+        x = torch.randn((20, 50, 5))
+        y = ln(x)
+
+
+class TestBiLinear(unittest.TestCase):
+    def test_case_1(self):
+        bl = BiLinear(n_left=5, n_right=5, n_out=10, bias=True)
+        x_left = torch.randn((7, 10, 20, 5))
+        x_right = torch.randn((7, 10, 20, 5))
+        y = bl(x_left, x_right)
+        print(bl)
+        bl2 = BiLinear(n_left=15, n_right=15, n_out=10, bias=False)