fix failing test_sdpa_can_dispatch_on_flash (#39259)

* fix

* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/t5gemma/test_modeling_t5gemma.py

@@ -311,7 +311,7 @@ class T5GemmaModelTester:
             decoder_attention_mask=decoder_attention_mask,
             labels=lm_labels,
         )
-        self.parent.assertEqual(len(outputs), 4)
+        self.parent.assertEqual(len(outputs), 5)
         self.parent.assertEqual(outputs["logits"].size(), (self.batch_size, self.seq_length, self.vocab_size))
         self.parent.assertEqual(outputs["loss"].size(), ())
 
@@ -1067,7 +1067,7 @@ class T5GemmaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
 
                 for i in range(num_decoder_layers):
                     if is_legacy_cache:
-                        self.assertEqual(len(past_kv[0]), 4)  # legacy check: confirm number of elements in tuple
+                        self.assertEqual(len(past_kv[0]), 5)  # legacy check: confirm number of elements in tuple
 
                     # Self attention
                     self_attention_layer_key_cache = (
@@ -1687,7 +1687,7 @@ class TestAsymmetricT5Gemma(unittest.TestCase):
             labels=lm_labels,
         )
         # outputs = model(*inputs)
-        assert len(outputs) == 4
+        assert len(outputs) == 5
         assert outputs["logits"].size() == (tester.batch_size, tester.seq_length, tester.vocab_size)
         assert outputs["loss"].size() == ()
         return model.model