Move some test files (tets/test_xxx_utils.py) to tests/utils (#31730)
* move * move * move * move * Update tests/utils/test_image_processing_utils.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
This commit is contained in:
@@ -20,7 +20,7 @@ import tempfile
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from transformers import is_torch_available
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from transformers import is_torch_available
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from .test_configuration_utils import config_common_kwargs
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from .utils.test_configuration_utils import config_common_kwargs
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class ConfigTester(object):
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class ConfigTester(object):
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@@ -1,148 +0,0 @@
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# coding=utf-8
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# Copyright 2023 HuggingFace Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import sys
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import tempfile
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import unittest
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import unittest.mock as mock
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from pathlib import Path
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from huggingface_hub import HfFolder, delete_repo
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from requests.exceptions import HTTPError
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from transformers import AutoImageProcessor, ViTImageProcessor
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from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test
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sys.path.append(str(Path(__file__).parent.parent / "utils"))
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from test_module.custom_image_processing import CustomImageProcessor # noqa E402
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SAMPLE_IMAGE_PROCESSING_CONFIG_DIR = get_tests_dir("fixtures")
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class ImageProcessorUtilTester(unittest.TestCase):
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def test_cached_files_are_used_when_internet_is_down(self):
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# A mock response for an HTTP head request to emulate server down
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response_mock = mock.Mock()
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response_mock.status_code = 500
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response_mock.headers = {}
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response_mock.raise_for_status.side_effect = HTTPError
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response_mock.json.return_value = {}
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# Download this model to make sure it's in the cache.
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_ = ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
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# Under the mock environment we get a 500 error when trying to reach the model.
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with mock.patch("requests.Session.request", return_value=response_mock) as mock_head:
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_ = ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
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# This check we did call the fake head request
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mock_head.assert_called()
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def test_image_processor_from_pretrained_subfolder(self):
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with self.assertRaises(OSError):
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# config is in subfolder, the following should not work without specifying the subfolder
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_ = AutoImageProcessor.from_pretrained("hf-internal-testing/stable-diffusion-all-variants")
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config = AutoImageProcessor.from_pretrained(
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"hf-internal-testing/stable-diffusion-all-variants", subfolder="feature_extractor"
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)
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self.assertIsNotNone(config)
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@is_staging_test
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class ImageProcessorPushToHubTester(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls._token = TOKEN
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HfFolder.save_token(TOKEN)
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@classmethod
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def tearDownClass(cls):
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try:
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delete_repo(token=cls._token, repo_id="test-image-processor")
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except HTTPError:
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pass
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try:
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delete_repo(token=cls._token, repo_id="valid_org/test-image-processor-org")
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except HTTPError:
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pass
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try:
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delete_repo(token=cls._token, repo_id="test-dynamic-image-processor")
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except HTTPError:
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pass
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def test_push_to_hub(self):
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image_processor = ViTImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
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image_processor.push_to_hub("test-image-processor", token=self._token)
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new_image_processor = ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor")
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for k, v in image_processor.__dict__.items():
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self.assertEqual(v, getattr(new_image_processor, k))
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# Reset repo
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delete_repo(token=self._token, repo_id="test-image-processor")
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# Push to hub via save_pretrained
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with tempfile.TemporaryDirectory() as tmp_dir:
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image_processor.save_pretrained(
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tmp_dir, repo_id="test-image-processor", push_to_hub=True, token=self._token
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)
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new_image_processor = ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor")
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for k, v in image_processor.__dict__.items():
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self.assertEqual(v, getattr(new_image_processor, k))
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def test_push_to_hub_in_organization(self):
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image_processor = ViTImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
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image_processor.push_to_hub("valid_org/test-image-processor", token=self._token)
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new_image_processor = ViTImageProcessor.from_pretrained("valid_org/test-image-processor")
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for k, v in image_processor.__dict__.items():
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self.assertEqual(v, getattr(new_image_processor, k))
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# Reset repo
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delete_repo(token=self._token, repo_id="valid_org/test-image-processor")
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# Push to hub via save_pretrained
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with tempfile.TemporaryDirectory() as tmp_dir:
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image_processor.save_pretrained(
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tmp_dir, repo_id="valid_org/test-image-processor-org", push_to_hub=True, token=self._token
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)
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new_image_processor = ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org")
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for k, v in image_processor.__dict__.items():
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self.assertEqual(v, getattr(new_image_processor, k))
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def test_push_to_hub_dynamic_image_processor(self):
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CustomImageProcessor.register_for_auto_class()
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image_processor = CustomImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
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image_processor.push_to_hub("test-dynamic-image-processor", token=self._token)
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# This has added the proper auto_map field to the config
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self.assertDictEqual(
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image_processor.auto_map,
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{"AutoImageProcessor": "custom_image_processing.CustomImageProcessor"},
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)
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new_image_processor = AutoImageProcessor.from_pretrained(
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f"{USER}/test-dynamic-image-processor", trust_remote_code=True
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)
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# Can't make an isinstance check because the new_image_processor is from the CustomImageProcessor class of a dynamic module
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self.assertEqual(new_image_processor.__class__.__name__, "CustomImageProcessor")
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@@ -119,7 +119,7 @@ if is_tf_available():
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if is_flax_available():
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if is_flax_available():
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import jax.numpy as jnp
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import jax.numpy as jnp
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from tests.test_modeling_flax_utils import check_models_equal
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from tests.utils.test_modeling_flax_utils import check_models_equal
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from transformers.modeling_flax_pytorch_utils import (
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from transformers.modeling_flax_pytorch_utils import (
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convert_pytorch_state_dict_to_flax,
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convert_pytorch_state_dict_to_flax,
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load_flax_weights_in_pytorch_model,
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load_flax_weights_in_pytorch_model,
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@@ -30,7 +30,7 @@ from transformers.configuration_utils import PretrainedConfig
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from transformers.testing_utils import TOKEN, USER, is_staging_test
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from transformers.testing_utils import TOKEN, USER, is_staging_test
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sys.path.append(str(Path(__file__).parent.parent / "utils"))
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sys.path.append(str(Path(__file__).parent.parent.parent / "utils"))
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from test_module.custom_configuration import CustomConfig # noqa E402
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from test_module.custom_configuration import CustomConfig # noqa E402
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@@ -1,5 +1,5 @@
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# coding=utf-8
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# coding=utf-8
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# Copyright 2022 HuggingFace Inc.
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# Copyright 2024 HuggingFace Inc.
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#
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# you may not use this file except in compliance with the License.
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@@ -13,9 +13,140 @@
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# See the License for the specific language governing permissions and
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# limitations under the License.
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import sys
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import tempfile
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import unittest
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import unittest
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import unittest.mock as mock
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from pathlib import Path
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from huggingface_hub import HfFolder, delete_repo
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from requests.exceptions import HTTPError
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from transformers import AutoImageProcessor, ViTImageProcessor
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from transformers.image_processing_utils import get_size_dict
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from transformers.image_processing_utils import get_size_dict
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from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test
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sys.path.append(str(Path(__file__).parent.parent / "utils"))
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from test_module.custom_image_processing import CustomImageProcessor # noqa E402
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SAMPLE_IMAGE_PROCESSING_CONFIG_DIR = get_tests_dir("fixtures")
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class ImageProcessorUtilTester(unittest.TestCase):
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def test_cached_files_are_used_when_internet_is_down(self):
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# A mock response for an HTTP head request to emulate server down
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response_mock = mock.Mock()
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response_mock.status_code = 500
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response_mock.headers = {}
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response_mock.raise_for_status.side_effect = HTTPError
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response_mock.json.return_value = {}
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# Download this model to make sure it's in the cache.
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_ = ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
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# Under the mock environment we get a 500 error when trying to reach the model.
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with mock.patch("requests.Session.request", return_value=response_mock) as mock_head:
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_ = ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
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# This check we did call the fake head request
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mock_head.assert_called()
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def test_image_processor_from_pretrained_subfolder(self):
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with self.assertRaises(OSError):
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# config is in subfolder, the following should not work without specifying the subfolder
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_ = AutoImageProcessor.from_pretrained("hf-internal-testing/stable-diffusion-all-variants")
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config = AutoImageProcessor.from_pretrained(
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"hf-internal-testing/stable-diffusion-all-variants", subfolder="feature_extractor"
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)
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self.assertIsNotNone(config)
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@is_staging_test
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class ImageProcessorPushToHubTester(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls._token = TOKEN
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HfFolder.save_token(TOKEN)
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@classmethod
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def tearDownClass(cls):
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try:
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delete_repo(token=cls._token, repo_id="test-image-processor")
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except HTTPError:
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pass
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try:
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delete_repo(token=cls._token, repo_id="valid_org/test-image-processor-org")
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except HTTPError:
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pass
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try:
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delete_repo(token=cls._token, repo_id="test-dynamic-image-processor")
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except HTTPError:
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pass
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def test_push_to_hub(self):
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image_processor = ViTImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
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image_processor.push_to_hub("test-image-processor", token=self._token)
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new_image_processor = ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor")
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for k, v in image_processor.__dict__.items():
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self.assertEqual(v, getattr(new_image_processor, k))
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# Reset repo
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delete_repo(token=self._token, repo_id="test-image-processor")
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# Push to hub via save_pretrained
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with tempfile.TemporaryDirectory() as tmp_dir:
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image_processor.save_pretrained(
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tmp_dir, repo_id="test-image-processor", push_to_hub=True, token=self._token
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)
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new_image_processor = ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor")
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for k, v in image_processor.__dict__.items():
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self.assertEqual(v, getattr(new_image_processor, k))
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def test_push_to_hub_in_organization(self):
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image_processor = ViTImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
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image_processor.push_to_hub("valid_org/test-image-processor", token=self._token)
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new_image_processor = ViTImageProcessor.from_pretrained("valid_org/test-image-processor")
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for k, v in image_processor.__dict__.items():
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self.assertEqual(v, getattr(new_image_processor, k))
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# Reset repo
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delete_repo(token=self._token, repo_id="valid_org/test-image-processor")
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# Push to hub via save_pretrained
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with tempfile.TemporaryDirectory() as tmp_dir:
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image_processor.save_pretrained(
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tmp_dir, repo_id="valid_org/test-image-processor-org", push_to_hub=True, token=self._token
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)
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new_image_processor = ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org")
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for k, v in image_processor.__dict__.items():
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self.assertEqual(v, getattr(new_image_processor, k))
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def test_push_to_hub_dynamic_image_processor(self):
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CustomImageProcessor.register_for_auto_class()
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image_processor = CustomImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
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image_processor.push_to_hub("test-dynamic-image-processor", token=self._token)
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# This has added the proper auto_map field to the config
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self.assertDictEqual(
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image_processor.auto_map,
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{"AutoImageProcessor": "custom_image_processing.CustomImageProcessor"},
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)
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new_image_processor = AutoImageProcessor.from_pretrained(
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f"{USER}/test-dynamic-image-processor", trust_remote_code=True
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)
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# Can't make an isinstance check because the new_image_processor is from the CustomImageProcessor class of a dynamic module
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self.assertEqual(new_image_processor.__class__.__name__, "CustomImageProcessor")
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class ImageProcessingUtilsTester(unittest.TestCase):
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class ImageProcessingUtilsTester(unittest.TestCase):
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2
tests/test_modeling_utils.py → tests/utils/test_modeling_utils.py
Executable file → Normal file
2
tests/test_modeling_utils.py → tests/utils/test_modeling_utils.py
Executable file → Normal file
@@ -73,7 +73,7 @@ from transformers.utils.import_utils import (
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)
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)
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sys.path.append(str(Path(__file__).parent.parent / "utils"))
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sys.path.append(str(Path(__file__).parent.parent.parent / "utils"))
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from test_module.custom_configuration import CustomConfig, NoSuperInitConfig # noqa E402
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from test_module.custom_configuration import CustomConfig, NoSuperInitConfig # noqa E402
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Block a user