* [CodeStyle][py2][U004] unecessary explicit `object` inheritance in class definition

* fix an increment

* [CodeStyle][py2][U008] remove unnecessary args in `super()`

* remove remained args

* revert changes in test_pylayer_op

* Revert "revert changes in test_pylayer_op"

This reverts commit ff185a9ae738afac3b0264f61bde6c6b7f72e7c4.

* revert some changes in example code

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

[CodeStyle][F401] remove unused imports in python_paddle/io_costmodel_geometric_vision_static. (#46755)
Signed-off-by: Yulv-git <yulvchi@qq.com>
Signed-off-by: Yulv-git <yulvchi@qq.com>

* [CodeStyle] remove all future import

* revert test_error.py

* restore future import in example code

* trim trailing whitespace

* fix `.cmake-format.py`

* revert npu ut changes, avoid npu ci error

fix en docs of paddle.vision.transforms.Normalize, paddle.vision.models.alexnet, paddle.vision.models.mobilenet, ops apis  (#42380)

* Normalize; test=document_fix

* alexnet; test=document_fix

* alexnet; test=document_fix

* vgg; test=document_fix

* mobilenetv2; test=document_fix

* mobilenetv1; test=document_fix

* alexnet; test=document_fix

* PSRoIPool; test=document_fix

* psroi_pool; test=document_fix

* roi_align; test=document_fix

* RoIAlign; test=document_fix

* alexnet; test=document_fix

* MobileNetV1; test=document_fix

* mobilenetv2;test=document_fix

* vgg; test=document_fix

* psroi_pool;test=document_fix

* ops; test=document_fix

* Normalize;test=document_fix

* normlize;test=document_fix

* Update alexnet.py

* for ci;test=document_fix

* for ci;test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

* update RandomCrop class code annotation; test=document_fix

* update adjust_brightness api in functional.py test=document_fix

* udpate uniform api in random.py

* update transforms.py

[New API] add API paddle.vision.transforms.RandomPerspective and paddle.vision.transforms.perspective (#42390)

* add RandomPerspective and perspective

* fix UT, clean codes

* fix UT

* add batch transform

* remove batch in tensor func

* fix typos and coments, test=develop

[New API] add API paddle.vision.transforms.RandomAffine and paddle.vision.transforms.affine (#42278)

* add affine codes

* adjustment codes

* fix test case

* fix F_cv2.affine

* clean codes, add UT

* fix UT

* fix UT

* fix UT shear

* add functional test_errors

* fix typos and coments, test=develop

[New API] add API paddle.vision.transforms.RandomErasing and paddle.vision.transforms.erase (#42280)

* add api RandomErasing
* add numpy/PIL backend support and UT
* fix doc and optimize UT
* add seed

* Update transforms.py

* Update transforms.py

* Update transforms.py

* Update functional.py

* add input and output docs for vision transform

* fix random probability

* fix random probability

* update 2.0 public api in vision

* fix some flake8 errors

* add to_grayscale, normalize

* add rotate

* add vfip and hflip

* add crop center_crop


* add padding, support constant, reflect, replicate, circular same as paddle.pad

* add get-image-[n,c,w,h] axis utils

* fixed docs.

* Fixed docs. test=document_fix

code bak.

fixed docs. test=document_fix

* Revert to previous version of python/paddle/fluid/backward.py

* fixed bugs.

* test=document_fix. Fixed examples.

* update comments

update RandomHorizontal Flip random description and examples

* fix cv2 rotation

* update to_tensor en docs

* return pil image as default according backend

* update hapi predict interface

* fix code style

* fix docs

* fix docs

* fix docs

* update docs

* fix codes style

* fix unittest

* fix unittest

* fix coverage

* add pil backend

* rm dependence of cv2

* Move hapi form paddle/incubate to paddle

* Remove vision/datasets/utils.py and clean code

* Add sample code for conll05

* Print pull path when saving model

* Fix sample code after paramter_list of SGD is changed to parameters

* Fix bug in wmt16 datase

* fix bug

* Refine Model

1. Take the network (instance of Layer) as the input of Model.
2. Refine set_dict/load_dict of Layer.
3. Refine Input interface, so update code sample about Input

* add more vision transfrom apis

* add vision

* fix predict, test=develop

* add unittest for vision apis, test=develop

* fix typos

* add hapi models api, test=develop

* fix code format, test=develop

* fix typos, test=develop

* fix sample code import, test=develop

* fix sample codes, test=develop

* add decompress, test=develop

* rm darknet, test=develop

* rm debug code, test=develop