Release: v4.9.1

.circleci/deploy.sh

@@ -67,4 +67,5 @@ deploy_doc "25dee4a" v4.6.0
 deploy_doc "7a6c9fa" v4.7.0
 deploy_doc "9252a51" v4.8.0
 deploy_doc "1366172" v4.8.1
-deploy_doc "96d1cfb"  # v4.8.2 Latest stable release
+deploy_doc "96d1cfb" v4.8.2
+deploy_doc "72aee83" # v4.9.0 Latest stable release

docs/source/_static/js/custom.js

@@ -1,10 +1,11 @@
 // These two things need to be updated at each release for the version selector.
 // Last stable version
-const stableVersion = "v4.8.2"
+const stableVersion = "v4.9.0"
 // Dictionary doc folder to label. The last stable version should have an empty key.
 const versionMapping = {
     "master": "master",
-    "": "v4.8.0/v4.8.1/v4.8.2 (stable)",
+    "": "v4.9.0 (stable)",
+    "v4.8.2": "v4.8.0/v4.8.1/v4.8.2",
     "v4.7.0": "v4.7.0",
     "v4.6.0": "v4.6.0",
     "v4.5.1": "v4.5.0/v4.5.1",

setup.py

@@ -337,7 +337,7 @@ install_requires = [
 
 setup(
     name="transformers",
-    version="4.9.0",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
+    version="4.9.1",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
     author="Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Sam Shleifer, Patrick von Platen, Sylvain Gugger, Suraj Patil, Stas Bekman, Google AI Language Team Authors, Open AI team Authors, Facebook AI Authors, Carnegie Mellon University Authors",
     author_email="thomas@huggingface.co",
     description="State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch",

src/transformers/__init__.py

@@ -22,7 +22,7 @@
 # to defer the actual importing for when the objects are requested. This way `import transformers` provides the names
 # in the namespace without actually importing anything (and especially none of the backends).
 
-__version__ = "4.9.0"
+__version__ = "4.9.1"
 
 # Work around to update TensorFlow's absl.logging threshold which alters the
 # default Python logging output behavior when present.

src/transformers/training_args.py

@@ -1052,6 +1052,8 @@ class TrainingArguments:
                     logger.debug(f"{self.process_index}: waiting for the {main_process_desc} to perform {desc}")
                     if is_torch_tpu_available():
                         xm.rendezvous(desc)
+                    elif is_sagemaker_dp_enabled():
+                        sm_dist.Barrier()
                     else:
                         torch.distributed.barrier()
                 yield
@@ -1061,6 +1063,8 @@ class TrainingArguments:
                     logger.debug(f"{self.process_index}: {main_process_desc} completed {desc}, releasing all replicas")
                     if is_torch_tpu_available():
                         xm.rendezvous(desc)
+                    elif is_sagemaker_dp_enabled():
+                        sm_dist.Barrier()
                     else:
                         torch.distributed.barrier()
         else: