Add retry hf hub decorator (#35213)
* Add retry torch decorator * New approach * Empty commit * Empty commit * Style * Use logger.error * Add a test * Update src/transformers/testing_utils.py Co-authored-by: Lucain <lucainp@gmail.com> * Fix err * Update tests/utils/test_modeling_utils.py --------- Co-authored-by: Lucain <lucainp@gmail.com> Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
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@@ -74,6 +74,7 @@ from transformers.models.auto.modeling_auto import (
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)
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from transformers.testing_utils import (
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CaptureLogger,
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hub_retry,
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is_flaky,
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require_accelerate,
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require_bitsandbytes,
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@@ -214,6 +215,16 @@ class ModelTesterMixin:
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_is_composite = False
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model_split_percents = [0.5, 0.7, 0.9]
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# Note: for all mixins that utilize the Hub in some way, we should ensure that
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# they contain the `hub_retry` decorator in case of failures.
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def __init_subclass__(cls, **kwargs):
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super().__init_subclass__(**kwargs)
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for attr_name in dir(cls):
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if attr_name.startswith("test_"):
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attr = getattr(cls, attr_name)
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if callable(attr):
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setattr(cls, attr_name, hub_retry(attr))
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@property
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def all_generative_model_classes(self):
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return tuple(model_class for model_class in self.all_model_classes if model_class.can_generate())
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@@ -51,6 +51,7 @@ from transformers.testing_utils import (
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LoggingLevel,
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TemporaryHubRepo,
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TestCasePlus,
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hub_retry,
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is_staging_test,
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require_accelerate,
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require_flax,
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@@ -327,6 +328,18 @@ class ModelUtilsTest(TestCasePlus):
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torch.set_default_dtype(self.old_dtype)
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super().tearDown()
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def test_hub_retry(self):
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@hub_retry(max_attempts=2)
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def test_func():
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# First attempt will fail with a connection error
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if not hasattr(test_func, "attempt"):
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test_func.attempt = 1
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raise requests.exceptions.ConnectionError("Connection failed")
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# Second attempt will succeed
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return True
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self.assertTrue(test_func())
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@slow
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def test_model_from_pretrained(self):
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model_name = "google-bert/bert-base-uncased"
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