chore: import upstream snapshot with attribution

2026-07-13 13:37:14 +08:00
commit 2aaeece67c
5662 changed files with 1035705 additions and 0 deletions
@@ -0,0 +1,68 @@
+# Copyright (c) 2023 PaddlePaddle Authors. 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 unittest
+
+from paddlenlp.transformers import AutoImageProcessor, CLIPImageProcessor
+from paddlenlp.utils.log import logger
+from tests.testing_utils import slow
+
+
+@unittest.skip("skipping due to connection error!")
+class ImageProcessorLoadTester(unittest.TestCase):
+    @slow
+    def test_clip_load(self):
+        logger.info("Download model from PaddleNLP BOS")
+        clip_processor = CLIPImageProcessor.from_pretrained("openai/clip-vit-base-patch32", from_hf_hub=False)
+        clip_processor = AutoImageProcessor.from_pretrained("openai/clip-vit-base-patch32", from_hf_hub=False)
+
+        logger.info("Download model from local")
+        clip_processor.save_pretrained("./paddlenlp-test-model/clip-vit-base-patch32")
+        clip_processor = CLIPImageProcessor.from_pretrained("./paddlenlp-test-model/clip-vit-base-patch32")
+        clip_processor = AutoImageProcessor.from_pretrained("./paddlenlp-test-model/clip-vit-base-patch32")
+        logger.info("Download model from PaddleNLP BOS with subfolder")
+        clip_processor = CLIPImageProcessor.from_pretrained(
+            "./paddlenlp-test-model/", subfolder="clip-vit-base-patch32"
+        )
+        clip_processor = AutoImageProcessor.from_pretrained(
+            "./paddlenlp-test-model/", subfolder="clip-vit-base-patch32"
+        )
+
+        logger.info("Download model from PaddleNLP BOS with subfolder")
+        clip_processor = CLIPImageProcessor.from_pretrained(
+            "baicai/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_hf_hub=False
+        )
+        clip_processor = AutoImageProcessor.from_pretrained(
+            "baicai/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_hf_hub=False
+        )
+
+        logger.info("Download model from aistudio")
+        clip_processor = CLIPImageProcessor.from_pretrained("aistudio/clip-vit-base-patch32", from_aistudio=True)
+        clip_processor = AutoImageProcessor.from_pretrained("aistudio/clip-vit-base-patch32", from_aistudio=True)
+
+        logger.info("Download model from aistudio with subfolder")
+        clip_processor = CLIPImageProcessor.from_pretrained(
+            "aistudio/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_aistudio=True
+        )
+        clip_processor = AutoImageProcessor.from_pretrained(
+            "aistudio/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_aistudio=True
+        )
+
+
+class ImageProcessorSubfolderLoadTester(unittest.TestCase):
+    def test_clip_subfolder_load(self):
+        logger.info("Download model with subfolder")
+        clip_processor = CLIPImageProcessor.from_pretrained(  # noqa: F841
+            "runwayml/stable-diffusion-v1-5", subfolder="feature_extractor"
+        )