Add ViTImageProcessorFast to tests (#31424)
* Add ViTImageProcessor to tests * Correct data format * Review comments
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@@ -72,6 +72,8 @@ class Swin2SRImageProcessingTester(unittest.TestCase):
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if isinstance(img, Image.Image):
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input_width, input_height = img.size
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elif isinstance(img, np.ndarray):
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input_height, input_width = img.shape[-3:-1]
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else:
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input_height, input_width = img.shape[-2:]
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@@ -160,7 +162,7 @@ class Swin2SRImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase):
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# Test not batched input
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encoded_images = image_processing(
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image_inputs[0], return_tensors="pt", input_data_format="channels_first"
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image_inputs[0], return_tensors="pt", input_data_format="channels_last"
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).pixel_values
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expected_output_image_shape = self.image_processor_tester.expected_output_image_shape([image_inputs[0]])
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self.assertEqual(tuple(encoded_images.shape), (1, *expected_output_image_shape))
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