AutoImageProcessor (#20111)

* AutoImageProcessor skeleton

* Update references

* Add mapping in init

* Add model image processors to __init__ for importing

* Add AutoImageProcessor tests

* Fix up

* Image Processor documentation

* Remove pdb

* Update docs/source/en/model_doc/mobilevit.mdx

* Update docs

* Don't add whitespace on json files

* Remove fixtures

* Move checking model config down

* Fix up

* Add check for image processor

* Remove FeatureExtractorMixin in docstrings

* Rename model_tmpfile to config_tmpfile

* Don't make None if not in image processor map

docs/source/en/model_doc/perceiver.mdx

@@ -70,7 +70,7 @@ vocabulary size of the model, i.e. creating logits of shape `(batch_size, 2048,
 size of 262 byte IDs).
 
 <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/perceiver_architecture.jpg"
-alt="drawing" width="600"/> 
+alt="drawing" width="600"/>
 
 <small> Perceiver IO architecture. Taken from the <a href="https://arxiv.org/abs/2105.15203">original paper</a> </small>
 
@@ -83,8 +83,8 @@ Tips:
   notebooks](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/Perceiver).
 - Refer to the [blog post](https://huggingface.co/blog/perceiver) if you want to fully understand how the model works and
 is implemented in the library. Note that the models available in the library only showcase some examples of what you can do
-with the Perceiver. There are many more use cases, including question answering, named-entity recognition, object detection, 
-audio classification, video classification, etc. 
+with the Perceiver. There are many more use cases, including question answering, named-entity recognition, object detection,
+audio classification, video classification, etc.
 
 **Note**:
 
@@ -114,6 +114,11 @@ audio classification, video classification, etc.
 [[autodoc]] PerceiverFeatureExtractor
     - __call__
 
+## PerceiverImageProcessor
+
+[[autodoc]] PerceiverImageProcessor
+    - preprocess
+
 ## PerceiverTextPreprocessor
 
 [[autodoc]] models.perceiver.modeling_perceiver.PerceiverTextPreprocessor