Check if docstring is None before formating it (#20592)

docstrings could be `None` if Python optimize level is set to 2.

src/transformers/configuration_utils.py

@@ -942,6 +942,7 @@ def get_configuration_file(configuration_files: List[str]) -> str:
 
 
 PretrainedConfig.push_to_hub = copy_func(PretrainedConfig.push_to_hub)
-PretrainedConfig.push_to_hub.__doc__ = PretrainedConfig.push_to_hub.__doc__.format(
+if PretrainedConfig.push_to_hub.__doc__ is not None:
+    PretrainedConfig.push_to_hub.__doc__ = PretrainedConfig.push_to_hub.__doc__.format(
         object="config", object_class="AutoConfig", object_files="configuration file"
-)
+    )

src/transformers/feature_extraction_utils.py

@@ -598,6 +598,7 @@ class FeatureExtractionMixin(PushToHubMixin):
 
 
 FeatureExtractionMixin.push_to_hub = copy_func(FeatureExtractionMixin.push_to_hub)
-FeatureExtractionMixin.push_to_hub.__doc__ = FeatureExtractionMixin.push_to_hub.__doc__.format(
+if FeatureExtractionMixin.push_to_hub.__doc__ is not None:
+    FeatureExtractionMixin.push_to_hub.__doc__ = FeatureExtractionMixin.push_to_hub.__doc__.format(
         object="feature extractor", object_class="AutoFeatureExtractor", object_files="feature extractor file"
-)
+    )

src/transformers/image_processing_utils.py

@@ -523,6 +523,7 @@ def get_size_dict(
 
 
 ImageProcessingMixin.push_to_hub = copy_func(ImageProcessingMixin.push_to_hub)
-ImageProcessingMixin.push_to_hub.__doc__ = ImageProcessingMixin.push_to_hub.__doc__.format(
+if ImageProcessingMixin.push_to_hub.__doc__ is not None:
+    ImageProcessingMixin.push_to_hub.__doc__ = ImageProcessingMixin.push_to_hub.__doc__.format(
         object="image processor", object_class="AutoImageProcessor", object_files="image processor file"
-)
+    )

src/transformers/modeling_flax_utils.py

@@ -1073,9 +1073,10 @@ class FlaxPreTrainedModel(PushToHubMixin, FlaxGenerationMixin):
 
 # To update the docstring, we need to copy the method, otherwise we change the original docstring.
 FlaxPreTrainedModel.push_to_hub = copy_func(FlaxPreTrainedModel.push_to_hub)
-FlaxPreTrainedModel.push_to_hub.__doc__ = FlaxPreTrainedModel.push_to_hub.__doc__.format(
+if FlaxPreTrainedModel.push_to_hub.__doc__ is not None:
+    FlaxPreTrainedModel.push_to_hub.__doc__ = FlaxPreTrainedModel.push_to_hub.__doc__.format(
         object="model", object_class="FlaxAutoModel", object_files="model checkpoint"
-)
+    )
 
 
 def overwrite_call_docstring(model_class, docstring):

src/transformers/modeling_utils.py

@@ -2810,9 +2810,10 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
 
 
 PreTrainedModel.push_to_hub = copy_func(PreTrainedModel.push_to_hub)
-PreTrainedModel.push_to_hub.__doc__ = PreTrainedModel.push_to_hub.__doc__.format(
+if PreTrainedModel.push_to_hub.__doc__ is not None:
+    PreTrainedModel.push_to_hub.__doc__ = PreTrainedModel.push_to_hub.__doc__.format(
         object="model", object_class="AutoModel", object_files="model file"
-)
+    )
 
 
 class PoolerStartLogits(nn.Module):

src/transformers/processing_utils.py

@@ -234,6 +234,7 @@ class ProcessorMixin(PushToHubMixin):
 
 
 ProcessorMixin.push_to_hub = copy_func(ProcessorMixin.push_to_hub)
-ProcessorMixin.push_to_hub.__doc__ = ProcessorMixin.push_to_hub.__doc__.format(
+if ProcessorMixin.push_to_hub.__doc__ is not None:
+    ProcessorMixin.push_to_hub.__doc__ = ProcessorMixin.push_to_hub.__doc__.format(
         object="processor", object_class="AutoProcessor", object_files="processor files"
-)
+    )

src/transformers/tokenization_utils_base.py

@@ -3768,6 +3768,7 @@ def get_fast_tokenizer_file(tokenization_files: List[str]) -> str:
 
 # To update the docstring, we need to copy the method, otherwise we change the original docstring.
 PreTrainedTokenizerBase.push_to_hub = copy_func(PreTrainedTokenizerBase.push_to_hub)
-PreTrainedTokenizerBase.push_to_hub.__doc__ = PreTrainedTokenizerBase.push_to_hub.__doc__.format(
+if PreTrainedTokenizerBase.push_to_hub.__doc__ is not None:
+    PreTrainedTokenizerBase.push_to_hub.__doc__ = PreTrainedTokenizerBase.push_to_hub.__doc__.format(
         object="tokenizer", object_class="AutoTokenizer", object_files="tokenizer files"
-)
+    )