Fix typo in PROCESSOR_MAPPING_NAMES and add tests (#21703)

* Add test

* Fix GITProcessor

* Update

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

utils/check_repo.py

@@ -23,6 +23,13 @@ from pathlib import Path
 
 from transformers import is_flax_available, is_tf_available, is_torch_available
 from transformers.models.auto import get_values
+from transformers.models.auto.feature_extraction_auto import FEATURE_EXTRACTOR_MAPPING_NAMES
+from transformers.models.auto.image_processing_auto import IMAGE_PROCESSOR_MAPPING_NAMES
+from transformers.models.auto.modeling_auto import MODEL_MAPPING_NAMES
+from transformers.models.auto.modeling_flax_auto import FLAX_MODEL_MAPPING_NAMES
+from transformers.models.auto.modeling_tf_auto import TF_MODEL_MAPPING_NAMES
+from transformers.models.auto.processing_auto import PROCESSOR_MAPPING_NAMES
+from transformers.models.auto.tokenization_auto import TOKENIZER_MAPPING_NAMES
 from transformers.utils import ENV_VARS_TRUE_VALUES, direct_transformers_import
 
 
@@ -602,6 +609,40 @@ def check_all_models_are_auto_configured():
         raise Exception(f"There were {len(failures)} failures:\n" + "\n".join(failures))
 
 
+def check_all_auto_object_names_being_defined():
+    """Check all names defined in auto (name) mappings exist in the library."""
+    failures = []
+
+    mapping_to_check = {
+        "TOKENIZER_MAPPING_NAMES": TOKENIZER_MAPPING_NAMES,
+        "IMAGE_PROCESSOR_MAPPING_NAMES": IMAGE_PROCESSOR_MAPPING_NAMES,
+        "FEATURE_EXTRACTOR_MAPPING_NAMES": FEATURE_EXTRACTOR_MAPPING_NAMES,
+        "PROCESSOR_MAPPING_NAMES": PROCESSOR_MAPPING_NAMES,
+        "MODEL_MAPPING_NAMES": MODEL_MAPPING_NAMES,
+        "TF_MODEL_MAPPING_NAMES": TF_MODEL_MAPPING_NAMES,
+        "FLAX_MODEL_MAPPING_NAMES": FLAX_MODEL_MAPPING_NAMES,
+    }
+
+    for name, mapping in mapping_to_check.items():
+        for model_type, class_names in mapping.items():
+            if not isinstance(class_names, tuple):
+                class_names = (class_names,)
+                for class_name in class_names:
+                    if class_name is None:
+                        continue
+                    # dummy object is accepted
+                    if not hasattr(transformers, class_name):
+                        # If the class name is in a model name mapping, let's not check if there is a definition in any modeling
+                        # module, if it's a private model defined in this file.
+                        if name.endswith("MODEL_MAPPING_NAMES") and is_a_private_model(class_name):
+                            continue
+                        failures.append(
+                            f"`{class_name}` appears in the mapping `{name}` but it is not defined in the library."
+                        )
+    if len(failures) > 0:
+        raise Exception(f"There were {len(failures)} failures:\n" + "\n".join(failures))
+
+
 _re_decorator = re.compile(r"^\s*@(\S+)\s+$")
 
 
@@ -876,6 +917,8 @@ def check_repo_quality():
     check_all_objects_are_documented()
     print("Checking all models are in at least one auto class.")
     check_all_models_are_auto_configured()
+    print("Checking all names in auto name mappings are defined.")
+    check_all_auto_object_names_being_defined()
 
 
 if __name__ == "__main__":