[BigBirdFlaxTests] Make tests slow (#17658)

* [BigBirdFlaxTests] Make tests slow

* up

* correct black with new version

tests/models/big_bird/test_modeling_flax_big_bird.py

@@ -40,17 +40,17 @@ class FlaxBigBirdModelTester(unittest.TestCase):
     def __init__(
         self,
         parent,
-        batch_size=13,
+        batch_size=2,
         seq_length=56,
         is_training=True,
         use_attention_mask=True,
         use_token_type_ids=True,
         use_labels=True,
         vocab_size=99,
-        hidden_size=32,
-        num_hidden_layers=5,
-        num_attention_heads=4,
-        intermediate_size=37,
+        hidden_size=4,
+        num_hidden_layers=2,
+        num_attention_heads=2,
+        intermediate_size=7,
         hidden_act="gelu_new",
         hidden_dropout_prob=0.1,
         attention_probs_dropout_prob=0.1,
@@ -62,7 +62,7 @@ class FlaxBigBirdModelTester(unittest.TestCase):
         attention_type="block_sparse",
         use_bias=True,
         rescale_embeddings=False,
-        block_size=4,
+        block_size=2,
         num_random_blocks=3,
     ):
         self.parent = parent
@@ -156,10 +156,30 @@ class FlaxBigBirdModelTest(FlaxModelTesterMixin, unittest.TestCase):
     def setUp(self):
         self.model_tester = FlaxBigBirdModelTester(self)
 
+    @slow
+    # copied from `test_modeling_flax_common` because it takes much longer than other models
+    def test_from_pretrained_save_pretrained(self):
+        super().test_from_pretrained_save_pretrained()
+
+    @slow
+    # copied from `test_modeling_flax_common` because it takes much longer than other models
+    def test_from_pretrained_with_no_automatic_init(self):
+        super().test_from_pretrained_with_no_automatic_init()
+
+    @slow
+    # copied from `test_modeling_flax_common` because it takes much longer than other models
+    def test_no_automatic_init(self):
+        super().test_no_automatic_init()
+
+    @slow
+    # copied from `test_modeling_flax_common` because it takes much longer than other models
+    def test_hidden_states_output(self):
+        super().test_hidden_states_output()
+
     @slow
     def test_model_from_pretrained(self):
         for model_class_name in self.all_model_classes:
-            model = model_class_name.from_pretrained("google/bigbird-roberta-base", from_pt=True)
+            model = model_class_name.from_pretrained("google/bigbird-roberta-base")
             outputs = model(np.ones((1, 1)))
             self.assertIsNotNone(outputs)