diff --git a/test/network_ops/test_upsample_scale_bicubic2d.py b/test/network_ops/test_upsample_scale_bicubic2d.py
index 0dd68b485fd676239a355a1960e75db70ddd42f9..ddbfa73ad76f2b92acc8931c9171b247faf994c3 100644
--- a/test/network_ops/test_upsample_scale_bicubic2d.py
+++ b/test/network_ops/test_upsample_scale_bicubic2d.py
@@ -58,7 +58,6 @@ class TestUpsampleBicubic2d(TestCase):
 
         return shape_format1
 
-    @unittest.skip("skip test_upsample_bicubic2d_scale_common_shape_format now")
     def test_upsample_bicubic2d_scale_common_shape_format(self):
         for item in self.create_scale_shape_format32():
             cpu_input1, npu_input1 = create_common_tensor(item[0], 0, 255)
@@ -66,7 +65,6 @@ class TestUpsampleBicubic2d(TestCase):
             npu_output = self.npu_op_scale_exec(npu_input1, item[1])
             self.assertRtolEqual(cpu_output, npu_output)
 
-    @unittest.skip("skip test_upsample_bicubic2d_float16_scale_shape_format now")
     def test_upsample_bicubic2d_float16_scale_shape_format(self):
         def cpu_op_exec_fp16(input1, size):
             input1 = input1.to(torch.float32)