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tests/models/trocr/test_processing_trocr.py

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+import unittest
+
+import pytest
+
+from transformers.testing_utils import (
+    require_sentencepiece,
+    require_tokenizers,
+    require_vision,
+)
+from transformers.utils import is_vision_available
+
+from ...test_processing_common import ProcessorTesterMixin
+
+
+if is_vision_available():
+    from transformers import TrOCRProcessor
+
+
+@require_sentencepiece
+@require_tokenizers
+@require_vision
+class TrOCRProcessorTest(ProcessorTesterMixin, unittest.TestCase):
+    text_input_name = "labels"
+    processor_class = TrOCRProcessor
+
+    @classmethod
+    def _setup_image_processor(cls):
+        image_processor_class = cls._get_component_class_from_processor("image_processor")
+        return image_processor_class()
+
+    @classmethod
+    def _setup_tokenizer(cls):
+        tokenizer_class = cls._get_component_class_from_processor("tokenizer")
+        return tokenizer_class.from_pretrained("FacebookAI/xlm-roberta-base")
+
+    def test_processor_text(self):
+        processor = self.get_processor()
+        input_str = "lower newer"
+        image_input = self.prepare_image_inputs()
+
+        inputs = processor(text=input_str, images=image_input)
+
+        self.assertListEqual(list(inputs.keys()), ["pixel_values", "labels"])
+
+        # test if it raises when no input is passed
+        with pytest.raises(ValueError):
+            processor()