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[docstring] Fix docstring for DonutImageProcessor (#26641)

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* removed donutimageprocessor from objects_to_ignore

* added docstring for donutimageprocessor

* readding donut file

* moved docstring to correct location
This commit is contained in:
Alex Bzdel 2023-10-09 10:32:13 -04:00 committed by GitHub
parent d2f06dfffc
commit 3257946fb7
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2 changed files with 2 additions and 3 deletions
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4
src/transformers/models/donut/image_processing_donut.py
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@ -61,7 +61,7 @@ class DonutImageProcessor(BaseImageProcessor):
Size of the image after resizing. The shortest edge of the image is resized to size["shortest_edge"], with
the longest edge resized to keep the input aspect ratio. Can be overridden by `size` in the `preprocess`
method.
resample (`PILImageResampling`, *optional*, defaults to `PILImageResampling.BILINEAR`):
resample (`PILImageResampling`, *optional*, defaults to `Resampling.BILINEAR`):
Resampling filter to use if resizing the image. Can be overridden by `resample` in the `preprocess` method.
do_thumbnail (`bool`, *optional*, defaults to `True`):
Whether to resize the image using thumbnail method.
@ -77,7 +77,7 @@ class DonutImageProcessor(BaseImageProcessor):
rescale_factor (`int` or `float`, *optional*, defaults to `1/255`):
Scale factor to use if rescaling the image. Can be overridden by `rescale_factor` in the `preprocess`
method.
do_normalize:
do_normalize (`bool`, *optional*, defaults to `True`):
Whether to normalize the image. Can be overridden by `do_normalize` in the `preprocess` method.
image_mean (`float` or `List[float]`, *optional*, defaults to `IMAGENET_STANDARD_MEAN`):
Mean to use if normalizing the image. This is a float or list of floats the length of the number of

1
utils/check_docstrings.py
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@ -174,7 +174,6 @@ OBJECTS_TO_IGNORE = [
"DistilBertConfig",
"DistilBertTokenizerFast",
"DocumentQuestionAnsweringPipeline",
"DonutImageProcessor",
"DonutSwinModel",
"EarlyStoppingCallback",
"EfficientFormerConfig",