* add audio feature dataset

* fix coding style

* fix coding style2

* rm librosa

* rm voxceleb

* rm librosa in test

* add scipy fftpack

* add functional

* fix setup

* fix setup2

* rm colorlog

* refactor dataset __init__.py

* fix converage

* fix librosa import error

* fix windows test

* fix windows ci

* rm datasets

* fix setup

* remove testdata

* add librosa in requirement

* add librosa in requirement2

* change librosa to 0.8.1

* update ci docker

* fix ci error

* fix ci error2

* fix ci coverage

* fix converage

* fix coverage

* rm audio_base in test, notest,test=coverage

* fix copyright

* rm backend

* add datast in __init__

* rm compliance&&add function test

* fix setup

* fix windows

* fix windows2

* fix test timeout

* add backend & datasets

* fix bugs

* fix ci time issue

* add dataset test

* rm test_audio_feature

* avoid windows isssue, tmp

* note windows isssue

* skip windows issue

* refactor dataset test

* add dataset.py

* fix dtype in layers.mfcc

* fix ci-static-check

* fix dtype in layers.mfcc && fix ci-static-check

* add relative accuracy

* modity API.spec

* skip cuda11.2 test

* skip cuda11.2 test2

* skip cuda11.2

* change dataset name

* fix format

* update api.spec

* update api.spec2

* fix coverage

* add dataset test

* rm download load dict

* rm download load dict in init

* update api.spec3

* fix dataset coverage

* fix coverage

* fix coverage2

* restore api.spec

* restore api.spec2

* fix api-spec 3

* fix api-spec 4

* fix api.spec

* fix api.spec6

* refactor init_backend

* fix typo

* change paddleaudio backend set

* fix get_current_audio_backend()

* fix format

* fix format2

* remove format in parameters

* fix format2

* add warning massage in wave_backend && remove redundant audio util

* rm audio util in print_signatures

* fix format3

* add tess dataset license

* format warning

* add more info in warning msg

* add paddleaudio version check

* replace dataset esc50 with tess

* add tess dataset && rm numpy transform in dataset.py

* fix set audio backend bug

* fix equal error

* fix format && coverage error

* add api example

* fix format

* fix error

* fix typo

* add noqa in __init__

* fix backend doc example error

* rm seed in dataset

* update bakcend example

* fix typo

* fix typo

* fix example err

* fix typo

* fix ci dataset test

* fix example fil

* try to fix ci

* clean dataset doc

* change get_current_audio_backend to get_current_backend

* creplace paddle.audio.backends.info with paddle.audio.info, same with load, save

* fix ci error

* repalce api in test_audio_backend

* fix save&&set_backend exmaple

* update audio api examples

* fix format

* format

* fix

* test api

* fix format

* fix static check error

* fix doc error

* fix ci

* fix api error

* update api.spec

* fix ci

* fix typo in window gaussian

uniform logger manager in FleetAPI.
hidde API under distributed/utils which users don't need.

* add audio feature dataset

* fix coding style

* fix coding style2

* rm librosa

* rm voxceleb

* rm librosa in test

* add scipy fftpack

* add functional

* fix setup

* fix setup2

* rm colorlog

* refactor dataset __init__.py

* fix converage

* fix librosa import error

* fix windows test

* fix windows ci

* rm datasets

* fix setup

* remove testdata

* add librosa in requirement

* add librosa in requirement2

* change librosa to 0.8.1

* update ci docker

* fix ci error

* fix ci error2

* fix ci coverage

* fix converage

* fix coverage

* rm audio_base in test, notest,test=coverage

* fix copyright

* rm backend

* rm compliance&&add function test

* fix setup

* fix windows

* fix windows2

* fix test timeout

* fix ci time issue

* rm test_audio_feature

* avoid windows isssue, tmp

* note windows isssue

* skip windows issue

* fix dtype in layers.mfcc && fix ci-static-check

* add relative accuracy

* modity API.spec

* skip cuda11.2 test

* skip cuda11.2 test2

* skip cuda11.2

[CodeStyle][NPU] use np.testing.assert_allclose instead of self.assertTrue(np.allclose(...)) (part 1) (#44988)

* autofix

* try resolve precision issues

* revert some changes

* clean some `err_msg`

* 0.0001 -> 1e-4

* update commented assert code

* try to fix some shape errors

* `numpy` -> `np`

* empty commit, trigger kunlun ci, test=kunlun

* empty commit, retrigger kunlun ci, test=kunlun

* empty commit, trigger kunlun ci, try fix npu memcpy_h2d, test=kunlun

* try fix npu import error, test=kunlun

[CodeStyle] use np.testing.assert_array_equal instead of self.assertTrue(np.array_equal(...)) (#44947)

* automatically fix

* update comments

* numpy -> np

* self.assertEqual(..., True)

* wrong usage (err_msg=True)

这不是修复导致的错误，这些是原来 `self.assertTrue(..., True)`
的错误用法，因此在修复后将其认为位置参数 `err_msg`

* some missing fix

* tempfile_fix

* update

* fix_CI

* update_word2vec.inference.model

* remove_change_in_word2vec_book

* fix_word2vec_book

* 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

* make data transform inplace when tensor is on gpupinned in new dygraph

* fix unittest

* fix summary trainable_params bug

* [Eager] Support test_dist_hapi_model under eager mode

* [Eager] Polish code

* Fix code-format issue, coverage-ci issue

[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

* add Tensor support for sub-functions of colorjitter
* add UT

* eager math op, test=develop

* eager support lookahead, test=develop

* refine,test=develop

* refine doc, test=develop

* refine,test =develop

* refie, test=develop

* refie, test=develop

* refie, test=develop

* test_paddle_multiprocessing

* refine, test=develop

* refine, test=develop

* fix bug, test=develop

* refine, test=develop

* dataloader, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* test_datasets timeout, test=develop

* refine, test=develop

* support test_create_paramter

* support fused_transformer_encoder_layer

* skip program_desc tracer related tests in eager mode

* fix ci tests on eager

* support pinned, test=develop

* support async_write, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine,test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* dlpack eager, test=develop

* eager test_base_layer, test=develop

* fix error report, test=develop

* eager _getitem_from_offset, test=develop

* refine, test=develop

* refine offset, test=develop

* add test_inner test_outer, test=develop

* refine, test=develop

* refine, test=develop

* refactor eager flags

* fix flags error when we switch from eager to dygraph

* fix ci problem

* fix ci

* fix ci

* merge develop and fix code style

* merge develop and fix code style

* fix op test error

* fix op test error

* fix op test error

* fix op test error

* fix op test error

* merge develop

* add mobilenetv3

* Add loss conversion from uint16 to float in progressbar class

* Fix test coverage

* Actually fix coverage

* Fix format error

* hapi lenet BF16

* ops list updated

* year typo fix

* tests updated fo CI

* Fix AttributeError when output y is a tuple which has no attribute 'shape'

* Add unit test for dynamic_flops with multiple outputs

* Add unit test for dynamic_flops with multiple outputs

`paddle.utils.download` ：change to call `extractall` on tar/zip compressd file  to speed up the uncompress process when they includes many files

--- result of decompression speed comparison ---
1. dataset：https://paddlenlp.bj.bcebos.com/datasets/cnn_dailymail/cnn_stories.tgz, decompression time
：5m50s vs 20s
2. dataset：https://paddlenlp.bj.bcebos.com/datasets/cnn_dailymail/dailymail_stories.tgz, decompression time：33m20s vs 47s

* fix cache

* Fix unittest

* remove test_hapi_hub from mac

* fix format error

* add wide resnet
* update pretrained weights link

* add squeezenet

add shufflenetv2
Co-authored-by: Ainavo <ainavo@163.com>
Co-authored-by: Npithygit <pyg20200403@163.com>
Co-authored-by: Ainavo <ainavo@163.com>
Co-authored-by: Npithygit <pyg20200403@163.com>

* update AvgPool2D to AdaptiveAvgPool2D
* class_num -> num_classes
* add en doc
* add googlenet to pretrained test
* remove weights name
* add parameter with_pool
* update en doc
* fix googlenet out shape
* 2020 -> 2021
Co-authored-by: Ainavo <ainavo@163.com>
Co-authored-by: Npithygit <pyg20200403@163.com>
Co-authored-by: Ainavo <ainavo@163.com>
Co-authored-by: Npithygit <pyg20200403@163.com>

* add DenseNet

* [hapi] support dygrapg amp O2

* fix problem of static pure fp16 in hapi

* fix bug

* fix format

* fix ut

* follow comments

* update ut

* update amp save/load

* fix ut

* refine code format

* add inceptionv3
Co-authored-by: Ainavo <ainavo@163.com>
Co-authored-by: Npithygit <pyg20200403@163.com>

* fix async_read bug

* change index place to cpu

* add tensor size judge

* add async_read & async_write test

* fix bug in async_write

* fix mac py3 ci

* fix bug for cpu version paddle

* fix windows ci bug

* change input argument error type

* change const_cast to mutable_data

* add async_write out-of-bound check and consumate error hint

* fix a small bug for dst_tensor

* add docs and refine codes

* refine docs

* notest,test=windows_ci

* fix windows ci

* fix require

* fix code-block

* add core.is_compiled_with_cuda()