Patch release: v4.27.3

Enforce  for device_map strategies

setup.py

@@ -418,7 +418,7 @@ install_requires = [
 
 setup(
     name="transformers",
-    version="4.27.2",  # 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="4.27.3",  # 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="The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)",
     author_email="transformers@huggingface.co",
     description="State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow",

src/transformers/__init__.py

@@ -18,7 +18,7 @@
 # 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__ = "4.27.2"
+__version__ = "4.27.3"
 
 from typing import TYPE_CHECKING
 

src/transformers/modeling_utils.py

@@ -2576,6 +2576,7 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
                     model,
                     dtype=torch_dtype,
                     low_zero=(device_map == "balanced_low_0"),
+                    max_memory=max_memory,
                     **kwargs,
                 )
             kwargs["max_memory"] = max_memory