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Decorators for deprecation and named arguments validation (#30799)

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* Fix do_reduce_labels for maskformer image processor

* Deprecate reduce_labels in favor to do_reduce_labels

* Deprecate reduce_labels in favor to do_reduce_labels (segformer)

* Deprecate reduce_labels in favor to do_reduce_labels (oneformer)

* Deprecate reduce_labels in favor to do_reduce_labels (maskformer)

* Deprecate reduce_labels in favor to do_reduce_labels (mask2former)

* Fix typo

* Update mask2former test

* fixup

* Update segmentation examples

* Update docs

* Fixup

* Imports fixup

* Add deprecation decorator draft

* Add deprecation decorator

* Fixup

* Add deprecate_kwarg decorator

* Validate kwargs decorator

* Kwargs validation (beit)

* fixup

* Kwargs validation (mask2former)

* Kwargs validation (maskformer)

* Kwargs validation (oneformer)

* Kwargs validation (segformer)

* Better message

* Fix oneformer processor save-load test

* Update src/transformers/utils/deprecation.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/utils/deprecation.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/utils/deprecation.py

Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* Update src/transformers/utils/deprecation.py

Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* Better handle classmethod warning

* Fix typo, remove warn

* Add header

* Docs and `additional_message`

* Move to filter decorator ot generic

* Proper deprecation for semantic segm scripts

* Add to __init__ and update import

* Basic tests for filter decorator

* Fix doc

* Override `to_dict()` to pop depracated `_max_size`

* Pop unused parameters

* Fix trailing whitespace

* Add test for deprecation

* Add deprecation warning control parameter

* Update generic test

* Fixup deprecation tests

* Introduce init service kwargs

* Revert popping unused params

* Revert oneformer test

* Allow "metadata" to pass

* Better docs

* Fix test

* Add notion in docstring

* Fix notification for both names

* Add func name to warning message

* Fixup

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
This commit is contained in:
Pavel Iakubovskii
2024-06-10 12:35:10 +01:00
committed by GitHub
parent 4fa4dcb2be
commit 517df566f5
28 changed files with 820 additions and 361 deletions
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4
docs/source/en/tasks/semantic_segmentation.md
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@@ -310,13 +310,13 @@ As an example, take a look at this [example dataset](https://huggingface.co/data
### Preprocess
The next step is to load a SegFormer image processor to prepare the images and annotations for the model. Some datasets, like this one, use the zero-index as the background class. However, the background class isn't actually included in the 150 classes, so you'll need to set `reduce_labels=True` to subtract one from all the labels. The zero-index is replaced by `255` so it's ignored by SegFormer's loss function:
The next step is to load a SegFormer image processor to prepare the images and annotations for the model. Some datasets, like this one, use the zero-index as the background class. However, the background class isn't actually included in the 150 classes, so you'll need to set `do_reduce_labels=True` to subtract one from all the labels. The zero-index is replaced by `255` so it's ignored by SegFormer's loss function:
```py
>>> from transformers import AutoImageProcessor
>>> checkpoint = "nvidia/mit-b0"
>>> image_processor = AutoImageProcessor.from_pretrained(checkpoint, reduce_labels=True)
>>> image_processor = AutoImageProcessor.from_pretrained(checkpoint, do_reduce_labels=True)
```
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