Update expected slices for pillow > 9 (#16117)

* Update expected slices for pillow > 9

* Add expected slices depending on pillow version

* Add different slices depending on pillow version for other models

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

tests/vision_encoder_decoder/test_modeling_vision_encoder_decoder.py

@@ -18,6 +18,7 @@ import tempfile
 import unittest
 
 from datasets import load_dataset
+from packaging import version
 
 from transformers.file_utils import cached_property, is_torch_available, is_vision_available
 from transformers.testing_utils import require_torch, require_vision, slow, torch_device
@@ -51,6 +52,7 @@ if is_torch_available():
 
 
 if is_vision_available():
+    import PIL
     from PIL import Image
 
     from transformers import TrOCRProcessor, ViTFeatureExtractor
@@ -687,9 +689,18 @@ class TrOCRModelIntegrationTest(unittest.TestCase):
         expected_shape = torch.Size((1, 1, model.decoder.config.vocab_size))
         self.assertEqual(outputs.logits.shape, expected_shape)
 
-        expected_slice = torch.tensor(
-            [-5.6816, -5.8388, 1.1398, -6.9034, 6.8505, -2.4393, 1.2284, -1.0232, -1.9661, -3.9210]
-        ).to(torch_device)
+        is_pillow_less_than_9 = version.parse(PIL.__version__) < version.parse("9.0.0")
+
+        if is_pillow_less_than_9:
+            expected_slice = torch.tensor(
+                [-5.6816, -5.8388, 1.1398, -6.9034, 6.8505, -2.4393, 1.2284, -1.0232, -1.9661, -3.9210],
+                device=torch_device,
+            )
+        else:
+            expected_slice = torch.tensor(
+                [-5.6844, -5.8372, 1.1518, -6.8984, 6.8587, -2.4453, 1.2347, -1.0241, -1.9649, -3.9109],
+                device=torch_device,
+            )
 
         self.assertTrue(torch.allclose(logits[0, 0, :10], expected_slice, atol=1e-4))