Follow up for #31973 (#32025)

* fix

* [test_all] trigger full CI

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2024-07-25 16:12:23 +02:00
committed by GitHub
parent de2318894e
commit df6eee9201
9 changed files with 808 additions and 673 deletions

View File

@@ -60,85 +60,91 @@ class FeatureExtractorPushToHubTester(unittest.TestCase):
cls._token = TOKEN
HfFolder.save_token(TOKEN)
@classmethod
def tearDownClass(cls):
@staticmethod
def _try_delete_repo(repo_id, token):
try:
delete_repo(token=cls._token, repo_id="test-feature-extractor")
except HTTPError:
pass
try:
delete_repo(token=cls._token, repo_id="valid_org/test-feature-extractor-org")
except HTTPError:
pass
try:
delete_repo(token=cls._token, repo_id="test-dynamic-feature-extractor")
except HTTPError:
# Reset repo
delete_repo(repo_id=repo_id, token=token)
except: # noqa E722
pass
def test_push_to_hub(self):
feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
feature_extractor.push_to_hub("test-feature-extractor", token=self._token)
new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(f"{USER}/test-feature-extractor")
for k, v in feature_extractor.__dict__.items():
self.assertEqual(v, getattr(new_feature_extractor, k))
try:
# Reset repo
delete_repo(token=self._token, repo_id="test-feature-extractor")
except: # noqa E722
pass
# Push to hub via save_pretrained
with tempfile.TemporaryDirectory() as tmp_dir:
feature_extractor.save_pretrained(
tmp_dir, repo_id="test-feature-extractor", push_to_hub=True, token=self._token
)
try:
tmp_repo = f"{USER}/test-feature-extractor-{Path(tmp_dir).name}"
new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(f"{USER}/test-feature-extractor")
for k, v in feature_extractor.__dict__.items():
self.assertEqual(v, getattr(new_feature_extractor, k))
feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
feature_extractor.push_to_hub(tmp_repo, token=self._token)
new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(tmp_repo)
for k, v in feature_extractor.__dict__.items():
self.assertEqual(v, getattr(new_feature_extractor, k))
finally:
# Always (try to) delete the repo.
self._try_delete_repo(repo_id=tmp_repo, token=self._token)
def test_push_to_hub_via_save_pretrained(self):
with tempfile.TemporaryDirectory() as tmp_dir:
try:
tmp_repo = f"{USER}/test-feature-extractor-{Path(tmp_dir).name}"
feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
# Push to hub via save_pretrained
feature_extractor.save_pretrained(tmp_dir, repo_id=tmp_repo, push_to_hub=True, token=self._token)
new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(tmp_repo)
for k, v in feature_extractor.__dict__.items():
self.assertEqual(v, getattr(new_feature_extractor, k))
finally:
# Always (try to) delete the repo.
self._try_delete_repo(repo_id=tmp_repo, token=self._token)
def test_push_to_hub_in_organization(self):
feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
feature_extractor.push_to_hub("valid_org/test-feature-extractor", token=self._token)
new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("valid_org/test-feature-extractor")
for k, v in feature_extractor.__dict__.items():
self.assertEqual(v, getattr(new_feature_extractor, k))
try:
# Reset repo
delete_repo(token=self._token, repo_id="valid_org/test-feature-extractor")
except: # noqa E722
pass
# Push to hub via save_pretrained
with tempfile.TemporaryDirectory() as tmp_dir:
feature_extractor.save_pretrained(
tmp_dir, repo_id="valid_org/test-feature-extractor-org", push_to_hub=True, token=self._token
)
try:
tmp_repo = f"valid_org/test-feature-extractor-{Path(tmp_dir).name}"
feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
feature_extractor.push_to_hub(tmp_repo, token=self._token)
new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("valid_org/test-feature-extractor-org")
for k, v in feature_extractor.__dict__.items():
self.assertEqual(v, getattr(new_feature_extractor, k))
new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(tmp_repo)
for k, v in feature_extractor.__dict__.items():
self.assertEqual(v, getattr(new_feature_extractor, k))
finally:
# Always (try to) delete the repo.
self._try_delete_repo(repo_id=tmp_repo, token=self._token)
def test_push_to_hub_in_organization_via_save_pretrained(self):
with tempfile.TemporaryDirectory() as tmp_dir:
try:
tmp_repo = f"valid_org/test-feature-extractor-{Path(tmp_dir).name}"
feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
# Push to hub via save_pretrained
feature_extractor.save_pretrained(tmp_dir, repo_id=tmp_repo, push_to_hub=True, token=self._token)
new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(tmp_repo)
for k, v in feature_extractor.__dict__.items():
self.assertEqual(v, getattr(new_feature_extractor, k))
finally:
# Always (try to) delete the repo.
self._try_delete_repo(repo_id=tmp_repo, token=self._token)
def test_push_to_hub_dynamic_feature_extractor(self):
CustomFeatureExtractor.register_for_auto_class()
feature_extractor = CustomFeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
with tempfile.TemporaryDirectory() as tmp_dir:
try:
tmp_repo = f"{USER}/test-dynamic-feature-extractor-{Path(tmp_dir).name}"
CustomFeatureExtractor.register_for_auto_class()
feature_extractor = CustomFeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
feature_extractor.push_to_hub("test-dynamic-feature-extractor", token=self._token)
feature_extractor.push_to_hub(tmp_repo, token=self._token)
# This has added the proper auto_map field to the config
self.assertDictEqual(
feature_extractor.auto_map,
{"AutoFeatureExtractor": "custom_feature_extraction.CustomFeatureExtractor"},
)
# This has added the proper auto_map field to the config
self.assertDictEqual(
feature_extractor.auto_map,
{"AutoFeatureExtractor": "custom_feature_extraction.CustomFeatureExtractor"},
)
new_feature_extractor = AutoFeatureExtractor.from_pretrained(
f"{USER}/test-dynamic-feature-extractor", trust_remote_code=True
)
# Can't make an isinstance check because the new_feature_extractor is from the CustomFeatureExtractor class of a dynamic module
self.assertEqual(new_feature_extractor.__class__.__name__, "CustomFeatureExtractor")
new_feature_extractor = AutoFeatureExtractor.from_pretrained(tmp_repo, trust_remote_code=True)
# Can't make an isinstance check because the new_feature_extractor is from the CustomFeatureExtractor class of a dynamic module
self.assertEqual(new_feature_extractor.__class__.__name__, "CustomFeatureExtractor")
finally:
# Always (try to) delete the repo.
self._try_delete_repo(repo_id=tmp_repo, token=self._token)