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transformers/tests/models/altclip/test_processing_altclip.py

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+# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import tempfile
+import unittest
+
+from transformers import AltCLIPProcessor, CLIPImageProcessor, XLMRobertaTokenizer, XLMRobertaTokenizerFast
+from transformers.testing_utils import require_vision
+
+from ...test_processing_common import ProcessorTesterMixin
+
+
+@require_vision
+class AltClipProcessorTest(ProcessorTesterMixin, unittest.TestCase):
+    processor_class = AltCLIPProcessor
+
+    @classmethod
+    def setUpClass(cls):
+        cls.model_id = "BAAI/AltCLIP"
+        cls.tmpdirname = tempfile.mkdtemp()
+        image_processor = CLIPImageProcessor()
+        tokenizer = XLMRobertaTokenizer.from_pretrained(cls.model_id)
+
+        processor = cls.processor_class(image_processor, tokenizer)
+
+        processor.save_pretrained(cls.tmpdirname)
+
+    def get_tokenizer(self, **kwargs):
+        return XLMRobertaTokenizer.from_pretrained(self.model_id, **kwargs)
+
+    def get_rust_tokenizer(self, **kwargs):
+        return XLMRobertaTokenizerFast.from_pretrained(self.model_id, **kwargs)
+
+    def get_image_processor(self, **kwargs):
+        return CLIPImageProcessor.from_pretrained(self.model_id, **kwargs)