[Past CI] 🔥 Leave Past CI failures in the past 🔥 (#20861)

* torch.jit._state

* Fix past CI

* Fix for perceiver

* Fix REALM

* Fix for Bloom

* Fix for SwinMode

* Fix for TrajectoryTransformerModel

* Fix for test_wav2vec2_with_lm

* make style

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

tests/models/wav2vec2/test_modeling_wav2vec2.py

@@ -70,6 +70,9 @@ if is_torch_available():
         _compute_mask_indices,
         _sample_negative_indices,
     )
+    from transformers.pytorch_utils import is_torch_less_than_1_9
+else:
+    is_torch_less_than_1_9 = True
 
 
 if is_torchaudio_available():
@@ -1640,6 +1643,10 @@ class Wav2Vec2ModelIntegrationTest(unittest.TestCase):
 
     @require_pyctcdecode
     @require_torchaudio
+    @unittest.skipIf(
+        is_torch_less_than_1_9,
+        reason="`torchaudio.functional.resample` needs torchaudio >= 0.9 which requires torch >= 0.9",
+    )
     def test_wav2vec2_with_lm(self):
         ds = load_dataset("common_voice", "es", split="test", streaming=True)
         sample = next(iter(ds))
@@ -1664,6 +1671,10 @@ class Wav2Vec2ModelIntegrationTest(unittest.TestCase):
 
     @require_pyctcdecode
     @require_torchaudio
+    @unittest.skipIf(
+        is_torch_less_than_1_9,
+        reason="`torchaudio.functional.resample` needs torchaudio >= 0.9 which requires torch >= 0.9",
+    )
     def test_wav2vec2_with_lm_pool(self):
         ds = load_dataset("common_voice", "es", split="test", streaming=True)
         sample = next(iter(ds))