diff --git a/official/common/distribute_utils_test.py b/official/common/distribute_utils_test.py
index da72e70bb61..62a552e2358 100644
--- a/official/common/distribute_utils_test.py
+++ b/official/common/distribute_utils_test.py
@@ -43,14 +43,14 @@ def test_invalid_args(self):
 
   def test_one_device_strategy_cpu(self):
     ds = distribute_utils.get_distribution_strategy('one_device', num_gpus=0)
-    self.assertEquals(ds.num_replicas_in_sync, 1)
-    self.assertEquals(len(ds.extended.worker_devices), 1)
+    self.assertEqual(ds.num_replicas_in_sync, 1)
+    self.assertEqual(len(ds.extended.worker_devices), 1)
     self.assertIn('CPU', ds.extended.worker_devices[0])
 
   def test_one_device_strategy_gpu(self):
     ds = distribute_utils.get_distribution_strategy('one_device', num_gpus=1)
-    self.assertEquals(ds.num_replicas_in_sync, 1)
-    self.assertEquals(len(ds.extended.worker_devices), 1)
+    self.assertEqual(ds.num_replicas_in_sync, 1)
+    self.assertEqual(len(ds.extended.worker_devices), 1)
     self.assertIn('GPU', ds.extended.worker_devices[0])
 
   def test_mirrored_strategy(self):
@@ -58,8 +58,8 @@ def test_mirrored_strategy(self):
     _ = distribute_utils.get_distribution_strategy(num_gpus=0)
     # 5 GPUs.
     ds = distribute_utils.get_distribution_strategy(num_gpus=5)
-    self.assertEquals(ds.num_replicas_in_sync, 5)
-    self.assertEquals(len(ds.extended.worker_devices), 5)
+    self.assertEqual(ds.num_replicas_in_sync, 5)
+    self.assertEqual(len(ds.extended.worker_devices), 5)
     for device in ds.extended.worker_devices:
       self.assertIn('GPU', device)
 
@@ -105,12 +105,13 @@ def test_tpu_strategy(self):
         ds, tf.distribute.TPUStrategy)
 
   def test_invalid_strategy(self):
-    with self.assertRaisesRegexp(
-        ValueError,
-        'distribution_strategy must be a string but got: False. If'):
+    with self.assertRaisesRegex(
+        ValueError, 'distribution_strategy must be a string but got: False. If'
+    ):
       distribute_utils.get_distribution_strategy(False)
-    with self.assertRaisesRegexp(
-        ValueError, 'distribution_strategy must be a string but got: 1'):
+    with self.assertRaisesRegex(
+        ValueError, 'distribution_strategy must be a string but got: 1'
+    ):
       distribute_utils.get_distribution_strategy(1)
 
   def test_get_strategy_scope(self):
diff --git a/official/recommendation/data_test.py b/official/recommendation/data_test.py
index 56788258ef1..a8eaec9ffc8 100644
--- a/official/recommendation/data_test.py
+++ b/official/recommendation/data_test.py
@@ -190,7 +190,7 @@ def _test_end_to_end(self, constructor_type):
         train_examples[l].add((u_raw, i_raw))
         counts[(u_raw, i_raw)] += 1
 
-    self.assertRegexpMatches(md5.hexdigest(), END_TO_END_TRAIN_MD5)
+    self.assertRegex(md5.hexdigest(), END_TO_END_TRAIN_MD5)
 
     num_positives_seen = len(train_examples[True])
     self.assertEqual(producer._train_pos_users.shape[0], num_positives_seen)
@@ -254,7 +254,7 @@ def _test_end_to_end(self, constructor_type):
           # from the negatives.
           assert (u_raw, i_raw) not in self.seen_pairs
 
-    self.assertRegexpMatches(md5.hexdigest(), END_TO_END_EVAL_MD5)
+    self.assertRegex(md5.hexdigest(), END_TO_END_EVAL_MD5)
 
   def _test_fresh_randomness(self, constructor_type):
     train_epochs = 5
@@ -300,7 +300,7 @@ def _test_fresh_randomness(self, constructor_type):
         else:
           negative_counts[(u, i)] += 1
 
-    self.assertRegexpMatches(md5.hexdigest(), FRESH_RANDOMNESS_MD5)
+    self.assertRegex(md5.hexdigest(), FRESH_RANDOMNESS_MD5)
 
     # The positive examples should appear exactly once each epoch
     self.assertAllEqual(
diff --git a/official/utils/misc/model_helpers_test.py b/official/utils/misc/model_helpers_test.py
index acc64713190..446a4c44c86 100644
--- a/official/utils/misc/model_helpers_test.py
+++ b/official/utils/misc/model_helpers_test.py
@@ -82,7 +82,7 @@ def test_generate_synethetic_data(self):
       for n in range(5):
         inp, lab = sess.run((input_element, label_element))
         self.assertAllClose(inp, [123., 123., 123., 123., 123.])
-        self.assertEquals(lab, 456)
+        self.assertEqual(lab, 456)
 
   def test_generate_only_input_data(self):
     d = model_helpers.generate_synthetic_data(
@@ -111,7 +111,7 @@ def test_generate_nested_data(self):
     element = tf.compat.v1.data.make_one_shot_iterator(d).get_next()
     self.assertIn('a', element)
     self.assertIn('b', element)
-    self.assertEquals(len(element['b']), 2)
+    self.assertEqual(len(element['b']), 2)
     self.assertIn('c', element['b'])
     self.assertIn('d', element['b'])
     self.assertNotIn('c', element)