Move some test files (tets/test_xxx_utils.py) to tests/utils

tests/test_configuration_common.py

@@ -20,7 +20,7 @@
 
 from transformers import is_torch_available
 
-from .test_configuration_utils import config_common_kwargs
+from .utils.test_configuration_utils import config_common_kwargs
 
 
 class ConfigTester(object):

tests/test_modeling_common.py

@@ -119,7 +119,7 @@
 if is_flax_available():
     import jax.numpy as jnp
 
-    from tests.test_modeling_flax_utils import check_models_equal
+    from tests.utils.test_modeling_flax_utils import check_models_equal
     from transformers.modeling_flax_pytorch_utils import (
         convert_pytorch_state_dict_to_flax,
         load_flax_weights_in_pytorch_model,

tests/test_configuration_utils.py → tests/utils/test_configuration_utils.py

@@ -30,7 +30,7 @@
 from transformers.testing_utils import TOKEN, USER, is_staging_test
 
 
-sys.path.append(str(Path(__file__).parent.parent / "utils"))
+sys.path.append(str(Path(__file__).parent.parent.parent / "utils"))
 
 from test_module.custom_configuration import CustomConfig  # noqa E402
 

tests/utils/test_image_processing_utils.py

@@ -1,5 +1,5 @@
 # coding=utf-8
-# Copyright 2022 HuggingFace Inc.
+# Copyright 2024 HuggingFace Inc.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -13,9 +13,140 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import sys
+import tempfile
 import unittest
+import unittest.mock as mock
+from pathlib import Path
 
+from huggingface_hub import HfFolder, delete_repo
+from requests.exceptions import HTTPError
+
+from transformers import AutoImageProcessor, ViTImageProcessor
 from transformers.image_processing_utils import get_size_dict
+from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test
+
+
+sys.path.append(str(Path(__file__).parent.parent / "utils"))
+
+from test_module.custom_image_processing import CustomImageProcessor  # noqa E402
+
+
+SAMPLE_IMAGE_PROCESSING_CONFIG_DIR = get_tests_dir("fixtures")
+
+
+class ImageProcessorUtilTester(unittest.TestCase):
+    def test_cached_files_are_used_when_internet_is_down(self):
+        # A mock response for an HTTP head request to emulate server down
+        response_mock = mock.Mock()
+        response_mock.status_code = 500
+        response_mock.headers = {}
+        response_mock.raise_for_status.side_effect = HTTPError
+        response_mock.json.return_value = {}
+
+        # Download this model to make sure it's in the cache.
+        _ = ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
+        # Under the mock environment we get a 500 error when trying to reach the model.
+        with mock.patch("requests.Session.request", return_value=response_mock) as mock_head:
+            _ = ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
+            # This check we did call the fake head request
+            mock_head.assert_called()
+
+    def test_image_processor_from_pretrained_subfolder(self):
+        with self.assertRaises(OSError):
+            # config is in subfolder, the following should not work without specifying the subfolder
+            _ = AutoImageProcessor.from_pretrained("hf-internal-testing/stable-diffusion-all-variants")
+
+        config = AutoImageProcessor.from_pretrained(
+            "hf-internal-testing/stable-diffusion-all-variants", subfolder="feature_extractor"
+        )
+
+        self.assertIsNotNone(config)
+
+
+@is_staging_test
+class ImageProcessorPushToHubTester(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls._token = TOKEN
+        HfFolder.save_token(TOKEN)
+
+    @classmethod
+    def tearDownClass(cls):
+        try:
+            delete_repo(token=cls._token, repo_id="test-image-processor")
+        except HTTPError:
+            pass
+
+        try:
+            delete_repo(token=cls._token, repo_id="valid_org/test-image-processor-org")
+        except HTTPError:
+            pass
+
+        try:
+            delete_repo(token=cls._token, repo_id="test-dynamic-image-processor")
+        except HTTPError:
+            pass
+
+    def test_push_to_hub(self):
+        image_processor = ViTImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
+        image_processor.push_to_hub("test-image-processor", token=self._token)
+
+        new_image_processor = ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor")
+        for k, v in image_processor.__dict__.items():
+            self.assertEqual(v, getattr(new_image_processor, k))
+
+        # Reset repo
+        delete_repo(token=self._token, repo_id="test-image-processor")
+
+        # Push to hub via save_pretrained
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            image_processor.save_pretrained(
+                tmp_dir, repo_id="test-image-processor", push_to_hub=True, token=self._token
+            )
+
+        new_image_processor = ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor")
+        for k, v in image_processor.__dict__.items():
+            self.assertEqual(v, getattr(new_image_processor, k))
+
+    def test_push_to_hub_in_organization(self):
+        image_processor = ViTImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
+        image_processor.push_to_hub("valid_org/test-image-processor", token=self._token)
+
+        new_image_processor = ViTImageProcessor.from_pretrained("valid_org/test-image-processor")
+        for k, v in image_processor.__dict__.items():
+            self.assertEqual(v, getattr(new_image_processor, k))
+
+        # Reset repo
+        delete_repo(token=self._token, repo_id="valid_org/test-image-processor")
+
+        # Push to hub via save_pretrained
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            image_processor.save_pretrained(
+                tmp_dir, repo_id="valid_org/test-image-processor-org", push_to_hub=True, token=self._token
+            )
+
+        new_image_processor = ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org")
+        for k, v in image_processor.__dict__.items():
+            self.assertEqual(v, getattr(new_image_processor, k))
+
+    def test_push_to_hub_dynamic_image_processor(self):
+        CustomImageProcessor.register_for_auto_class()
+        image_processor = CustomImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
+
+        image_processor.push_to_hub("test-dynamic-image-processor", token=self._token)
+
+        # This has added the proper auto_map field to the config
+        self.assertDictEqual(
+            image_processor.auto_map,
+            {"AutoImageProcessor": "custom_image_processing.CustomImageProcessor"},
+        )
+
+        new_image_processor = AutoImageProcessor.from_pretrained(
+            f"{USER}/test-dynamic-image-processor", trust_remote_code=True
+        )
+        # Can't make an isinstance check because the new_image_processor is from the CustomImageProcessor class of a dynamic module
+        self.assertEqual(new_image_processor.__class__.__name__, "CustomImageProcessor")
 
 
 class ImageProcessingUtilsTester(unittest.TestCase):

tests/test_modeling_utils.py → tests/utils/test_modeling_utils.py

@@ -73,7 +73,7 @@
 )
 
 
-sys.path.append(str(Path(__file__).parent.parent / "utils"))
+sys.path.append(str(Path(__file__).parent.parent.parent / "utils"))
 
 from test_module.custom_configuration import CustomConfig, NoSuperInitConfig  # noqa E402