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>

src/transformers/testing_utils.py

@@ -43,6 +43,7 @@ from unittest import mock
 from unittest.mock import patch
 
 import huggingface_hub.utils
+import requests
 import urllib3
 from huggingface_hub import delete_repo
 from packaging import version
@@ -200,6 +201,8 @@ else:
     IS_ROCM_SYSTEM = False
     IS_CUDA_SYSTEM = False
 
+logger = transformers_logging.get_logger(__name__)
+
 
 def parse_flag_from_env(key, default=False):
     try:
@@ -2497,7 +2500,49 @@ def is_flaky(max_attempts: int = 5, wait_before_retry: Optional[float] = None, d
                     return test_func_ref(*args, **kwargs)
 
                 except Exception as err:
-                    print(f"Test failed with {err} at try {retry_count}/{max_attempts}.", file=sys.stderr)
+                    logger.error(f"Test failed with {err} at try {retry_count}/{max_attempts}.")
+                    if wait_before_retry is not None:
+                        time.sleep(wait_before_retry)
+                    retry_count += 1
+
+            return test_func_ref(*args, **kwargs)
+
+        return wrapper
+
+    return decorator
+
+
+def hub_retry(max_attempts: int = 5, wait_before_retry: Optional[float] = 2):
+    """
+    To decorate tests that download from the Hub. They can fail due to a
+    variety of network issues such as timeouts, connection resets, etc.
+
+    Args:
+        max_attempts (`int`, *optional*, defaults to 5):
+            The maximum number of attempts to retry the flaky test.
+        wait_before_retry (`float`, *optional*, defaults to 2):
+            If provided, will wait that number of seconds before retrying the test.
+    """
+
+    def decorator(test_func_ref):
+        @functools.wraps(test_func_ref)
+        def wrapper(*args, **kwargs):
+            retry_count = 1
+
+            while retry_count < max_attempts:
+                try:
+                    return test_func_ref(*args, **kwargs)
+                # We catch all exceptions related to network issues from requests
+                except (
+                    requests.exceptions.ConnectionError,
+                    requests.exceptions.Timeout,
+                    requests.exceptions.ReadTimeout,
+                    requests.exceptions.HTTPError,
+                    requests.exceptions.RequestException,
+                ) as err:
+                    logger.error(
+                        f"Test failed with {err} at try {retry_count}/{max_attempts} as it couldn't connect to the specied Hub repository."
+                    )
                     if wait_before_retry is not None:
                         time.sleep(wait_before_retry)
                     retry_count += 1

tests/test_modeling_common.py

@@ -74,6 +74,7 @@ from transformers.models.auto.modeling_auto import (
 )
 from transformers.testing_utils import (
     CaptureLogger,
+    hub_retry,
     is_flaky,
     require_accelerate,
     require_bitsandbytes,
@@ -214,6 +215,16 @@ class ModelTesterMixin:
     _is_composite = False
     model_split_percents = [0.5, 0.7, 0.9]
 
+    # Note: for all mixins that utilize the Hub in some way, we should ensure that
+    # they contain the `hub_retry` decorator in case of failures.
+    def __init_subclass__(cls, **kwargs):
+        super().__init_subclass__(**kwargs)
+        for attr_name in dir(cls):
+            if attr_name.startswith("test_"):
+                attr = getattr(cls, attr_name)
+                if callable(attr):
+                    setattr(cls, attr_name, hub_retry(attr))
+
     @property
     def all_generative_model_classes(self):
         return tuple(model_class for model_class in self.all_model_classes if model_class.can_generate())

tests/utils/test_modeling_utils.py

@@ -51,6 +51,7 @@ from transformers.testing_utils import (
     LoggingLevel,
     TemporaryHubRepo,
     TestCasePlus,
+    hub_retry,
     is_staging_test,
     require_accelerate,
     require_flax,
@@ -327,6 +328,18 @@ class ModelUtilsTest(TestCasePlus):
         torch.set_default_dtype(self.old_dtype)
         super().tearDown()
 
+    def test_hub_retry(self):
+        @hub_retry(max_attempts=2)
+        def test_func():
+            # First attempt will fail with a connection error
+            if not hasattr(test_func, "attempt"):
+                test_func.attempt = 1
+                raise requests.exceptions.ConnectionError("Connection failed")
+            # Second attempt will succeed
+            return True
+
+        self.assertTrue(test_func())
+
     @slow
     def test_model_from_pretrained(self):
         model_name = "google-bert/bert-base-uncased"