Fix multimodal processor get duplicate arguments when receive kwargs for initialization (#39125)

* fix processor tokenizer override

Signed-off-by: Isotr0py <2037008807@qq.com>

* code format

Signed-off-by: Isotr0py <2037008807@qq.com>

* add regression test

Signed-off-by: Isotr0py <2037008807@qq.com>

* fix

Signed-off-by: Isotr0py <2037008807@qq.com>

* check image processor same

Signed-off-by: Isotr0py <2037008807@qq.com>

---------

Signed-off-by: Isotr0py <2037008807@qq.com>

src/transformers/processing_utils.py

@@ -1097,9 +1097,13 @@ class ProcessorMixin(PushToHubMixin):
             processor_config=processor_dict, valid_kwargs=accepted_args_and_kwargs
         )
 
-        # remove args that are in processor_dict to avoid duplicate arguments
+        # update args that are already in processor_dict to avoid duplicate arguments
-        args_to_remove = [i for i, arg in enumerate(accepted_args_and_kwargs) if arg in processor_dict]
+        args_to_update = {
-        args = [arg for i, arg in enumerate(args) if i not in args_to_remove]
+            i: valid_kwargs.pop(arg)
+            for i, arg in enumerate(accepted_args_and_kwargs)
+            if (arg in valid_kwargs and i < len(args))
+        }
+        args = [arg if i not in args_to_update else args_to_update[i] for i, arg in enumerate(args)]
 
         # instantiate processor with used (and valid) kwargs only
         processor = cls(*args, **valid_kwargs)

tests/test_processing_common.py

@@ -351,6 +351,18 @@ class ProcessorTesterMixin:
                 return_tensors="pt",
             )
 
+    def test_args_overlap_kwargs(self):
+        if "image_processor" not in self.processor_class.attributes:
+            self.skipTest(f"image_processor attribute not present in {self.processor_class}")
+        processor_first = self.get_processor()
+        image_processor = processor_first.image_processor
+        image_processor.is_override = True
+
+        with tempfile.TemporaryDirectory() as tmpdirname:
+            processor_first.save_pretrained(tmpdirname)
+            processor_second = self.processor_class.from_pretrained(tmpdirname, image_processor=image_processor)
+            self.assertTrue(processor_second.image_processor.is_override)
+
     def test_structured_kwargs_nested(self):
         if "image_processor" not in self.processor_class.attributes:
             self.skipTest(f"image_processor attribute not present in {self.processor_class}")