🚨🚨🚨 Fix rescale ViVit Efficientnet (#25174)

* Fix rescaling bug

* Add tests

* Update integration tests

* Fix up

* Update src/transformers/image_transforms.py

* Update test - new possible order in list

tests/models/efficientnet/test_image_processing_efficientnet.py

@@ -193,3 +193,17 @@ class EfficientNetImageProcessorTest(ImageProcessingSavingTestMixin, unittest.Te
                 self.image_processor_tester.size["width"],
             ),
         )
+
+    def test_rescale(self):
+        # EfficientNet optionally rescales between -1 and 1 instead of the usual 0 and 1
+        image = np.arange(0, 256, 1, dtype=np.uint8).reshape(1, 8, 32)
+
+        image_processor = self.image_processing_class(**self.image_processor_dict)
+
+        rescaled_image = image_processor.rescale(image, scale=1 / 255)
+        expected_image = image.astype(np.float32) * (2 / 255.0) - 1
+        self.assertTrue(np.allclose(rescaled_image, expected_image))
+
+        rescaled_image = image_processor.rescale(image, scale=1 / 255, offset=False)
+        expected_image = image.astype(np.float32) / 255.0
+        self.assertTrue(np.allclose(rescaled_image, expected_image))