* 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 utils

* add utils

* update utils, add raise for some cases

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

* update rotate

* using utils func in [v|h]flip

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

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

* align

* update

* remove default value in utils func

* add assert for pad

* update assert paddle image

* support rotate fill func

* raise valueerror for pad

* remove typing, py2 dont support

* init uinttest for transforms tensor

* add resize op

* register [normalize hflip crop center_crop resize transpose] imagenet

* register [normalize hflip crop center_crop resize transpose] imagenet

* fix bugs, (w, h) getter and import

* add _get_image_size for tensor image

* add pad vflip for tensor image

* add unittest for tensor transforms

* update transforms unittest for converage CI probelms, test=develop

* update

* update

* update

* fix `get_shape` for tensor backend

* update

* update

* add more resize tests

* update

* update for ci test

* update

* remove redundancy code

* update uinttest, and set tensor image to hwc by default

* add tensor backend

* fix copyright doc, rm comment code, add pil unittest

* update data_format to `chw` for tensor

* coverage notest,test=coverage

* update

* update

* 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