Update old existing feature extractor references (#24552)
* Update old existing feature extractor references * Typo * Apply suggestions from code review * Apply suggestions from code review * Apply suggestions from code review * Address comments from review - update 'feature extractor' Co-authored by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
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@@ -40,7 +40,7 @@ if is_tf_available():
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if is_vision_available():
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from PIL import Image
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from transformers import MobileViTFeatureExtractor
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from transformers import MobileViTImageProcessor
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class TFMobileViTConfigTester(ConfigTester):
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@@ -381,9 +381,9 @@ class TFMobileViTModelIntegrationTest(unittest.TestCase):
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def test_inference_image_classification_head(self):
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model = TFMobileViTForImageClassification.from_pretrained("apple/mobilevit-xx-small")
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feature_extractor = MobileViTFeatureExtractor.from_pretrained("apple/mobilevit-xx-small")
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image_processor = MobileViTImageProcessor.from_pretrained("apple/mobilevit-xx-small")
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image = prepare_img()
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inputs = feature_extractor(images=image, return_tensors="tf")
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inputs = image_processor(images=image, return_tensors="tf")
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# forward pass
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outputs = model(**inputs, training=False)
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@@ -401,10 +401,10 @@ class TFMobileViTModelIntegrationTest(unittest.TestCase):
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# `from_pt` will be removed
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model = TFMobileViTForSemanticSegmentation.from_pretrained("apple/deeplabv3-mobilevit-xx-small")
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feature_extractor = MobileViTFeatureExtractor.from_pretrained("apple/deeplabv3-mobilevit-xx-small")
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image_processor = MobileViTImageProcessor.from_pretrained("apple/deeplabv3-mobilevit-xx-small")
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image = prepare_img()
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inputs = feature_extractor(images=image, return_tensors="tf")
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inputs = image_processor(images=image, return_tensors="tf")
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# forward pass
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outputs = model(inputs.pixel_values, training=False)
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