diff --git a/tensorflow/compiler/tests/categorical_op_test.py b/tensorflow/compiler/tests/categorical_op_test.py
index ef6df1f0879..afda99a7e06 100644
--- a/tensorflow/compiler/tests/categorical_op_test.py
+++ b/tensorflow/compiler/tests/categorical_op_test.py
@@ -187,7 +187,7 @@ class CategoricalTest(xla_test.XLATestCase):
             0,
             seed=seed_t,
             output_dtype=dtypes.int32)
-        y = sess.run(x, {seed_t: [0x12345678, 0xabcdef12]})
+        y = sess.run(x, {seed_t: [0x12345678, 0xabcdef1]})
         self.assertEqual(y.shape, (42, 0))
 
 
diff --git a/tensorflow/compiler/tests/stateless_random_ops_test.py b/tensorflow/compiler/tests/stateless_random_ops_test.py
index 6576e274300..56b49689607 100644
--- a/tensorflow/compiler/tests/stateless_random_ops_test.py
+++ b/tensorflow/compiler/tests/stateless_random_ops_test.py
@@ -101,7 +101,7 @@ class StatelessRandomOpsTest(xla_test.XLATestCase):
         seed_t = array_ops.placeholder(dtypes.int32, shape=[2])
         x = stateless.stateless_random_normal(
             shape=[10000], seed=seed_t, dtype=dtype)
-        y = sess.run(x, {seed_t: [0x12345678, 0xabcdef12]})
+        y = sess.run(x, {seed_t: [0x12345678, 0xabcdef1]})
         self.assertTrue(np.all(np.isfinite(y)))
 
   def testDistributionOfStatelessRandomNormal(self):