[Cherry-pick Release/2.4] Fix multi_tensor adam and momentum bug when the parameter is list of dict (#47372)

* reformat file by black

* fix multi_tensor adam/momentum bug

* cherry-pick #46359 and resolve conflict

修改一处Slice的bug

* fix inference perfermence problem caused by selecting cudnn kernel for softmax

* recover use_cudnn in opmaker of softmax

* fix tess split fold

* format

[Dy2Stat]Fix module loading OSError in multiprocess

* return proper state

* fix for dims

* fix
Co-authored-by: Njakpiase <jakpia21@gmail.com>

[Cherry-pick][Release/2.4]Refine the memory usage of fused_attention and fused_feedforward ops (#47235)

* fix fused_attention fused_feedforward

* fix ci

* fix ci

* fix ci PADDLE_GET_CONST

* fix ci ut

当前无法从Tensor中获取到SparseTensor的sparse_dim，无法准确推断出indices的shape，所以目前先以3D点云模型为主，输入的SparseTensor的维度是5D的，其中非零元素是一维向量，所以indices是[4, -1]。

* fix geometric doc

* add prior_box and box_coder for paddle.vision.ops

* fix UT change assertTrue to assert_allclose

* fix formula format

* [CodeStyle] add black config to release2.4

* empty commit, test=document_fix

* Fix hAPI bug of not compatible with LayerHook

* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result
is wrong.

* support pure bfloat16

* support bf16 linear

* update PR to pass CI

* tiny fix where_grad_kernel.cu

* Support bfloat16 type for reducer and sharding.

* Fix some bug.

* Polish code.

* Polise code.

* Add bfloat16 datatype in fill_grad kernels.
Co-authored-by: Nsneaxiy <sneaxiy@126.com>
Co-authored-by: Nsneaxiy <sneaxiy@126.com>

* forbid Conv2D into Paddle-TensoRT when weight is not persistable.

cherry pick #47108

原 WITH_CUSTOM_DEVICE 默认打开/关闭的策略随 ON_INFER开关，由于训练和预测共同发包，现在训练包编译时会打开 ON_INFER，导致 WITH_CUSTOM_DEVICE 默认关闭，custom device 功能不可用

WITH_CUSTOM_DEVICE 默认打开/关闭的策略更改为随 WITH_PYTHON 开关

Add PDSA-2022-001 security advisory

* Add infer prune function

* add fusion op

* 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

* Simplify the codes of conv. (#45966)

* Enable to record whether the conv algo is got by exhaustive search to fix autotune cache bug. (#47065)

* add fused_attention_pass. test=develop

* support fp16. test=develop

* fix format. test=develop

Add value check & error message for gather_tree
cherry-pick #47051

* Fix quantize model deploy bugs when using MKLDNN (#45920)

* fix immutable op quantize bugs

* fix

* fix build bug

* fix test

* notest,test=inference

* fix ppyoloe acc drop bugs

* fix test

* fix test

* add test

* fix

* fix

* fix test

* fix refined name bug

* fix test

* bias fix

* fix matmul weight dequant bug

* re-ci

* fix tester

* fix test

* fix tester

* update weight dequantize func

* update code

* update test for converage

* update test

* update cmake

* update cmakelist

* update code

* rerun ci

* remove useless code

* re-ci

* update code

* update code

* fix header

* update code for log

* stride_to_24

* fix CI failing

* Enhance the layernorm shift partation fuse op when shift size > 0 (roll shifting)
* fix cherry-pick test

Fix some operators when the tensor.numel() > INT32_MAX

support pure bfloat16 for more ops

* fix: fix incorrect import

* fix: fix incorrect usage

* [Auto Parallel] Make Engine class callable (#46416)

* [Auto Parallel] Imporve the user-defined fetches and logging

* [Auto Parallel] Make Engine class callable

* [Auto Parallel] Update the data loading of tuner

* Print IPS in auto parallel Engine (#46554)

* [AutoParallel] fix dist_split (#46505)

* [AutoParallel] fix dist_split

* add unittest

* update cmakelist

* [AutoParallel] fix sharding (#46572)

* [AutoParallel] fix process_mesh (#46583)

* [AutoParallel] fix reshard when train with eval (#46605)

* [AutoParallel] fix reshard when train with eval

* fix mppp

* [AutoParallel] fix amp when predict (#46637)

* [Auto Parallel]Update comp cost and completion for gpt auto search (#46387)

* update comp cost and completion for gpt auto search

* add unittest

* [Auto Parallel] Fix bugs caused by the inconsistent outputs of Engine API (#46633)

* [Auto Parallel] Unify the logger and outputs of Engine API

* [Auto Parallel] Fix the bugs of to_static

* [Auto Parallel] Adjust the test_to_static.py

* [Auto Parallel] Improve the fine-grained APIs (#46552)

* [Auto Parallel] Suppport different dataloaders

* [Auto Parallel] Add num_shards config for dataset

* [Auto Parallel] Unify the logger and outputs of Engine API

* [Auto Parallel] Fix the bugs of to_static

* [Auto Parallel] Adjust the test_to_static.py

* [Auto Parallel] Add the prepare API and replace __call__ with run

* [Auto Parallel] Improve the private implementations of Engine

* [Auto Parallel] Set capacity of dataloader for opt tuning

* [Auto Parallel] [WIP] Change the fine-grained API

* [Auto Parallel] Improve APIs to support different user cases

* [Auto Parallel] Add removed config

* [Auto Parallel] Add imports

* [Auto Parallel] Fix bugs for to_static

* [Auto Parallel] Remove unnecessary imports

* bugfix (#46921)

* [Auto Parallel] Fix the bug for None labels (#46987)

* [AutoParallel] adapt for gpt-gen (#46771)

* for gpt-gen

* fix reshard

* adapt assign and shape op

* add dist_assign & unittest

* add conditional block unittest

* rename unittest

* [Auto Parallel] Fix the bug of completion (#47056)

* [Auto Parallel] Fix the bug for None labels

* [Auto Parallel] Fix the completion bug

* [AutoParallel] add callbacks (#47014)

* [AutoParallel] add callbacks

* fix unittest

* fix dist_context

* fix engine

* fix cmakelist

* fix unittest's returns

* fix cmakelist

* [Auto Parallel] Add cost interface (#47043)

* add cost interface

* update inferface and add unittest

* update unittest

* update inferface

* [Auto Parallel]Add parallel tuner (#46189)

* add parallel tuner

* add unittest

* fix unittest

* set timeout of unittest

* set unittest timeout

* fix auto_mode setting

* update unittest

* sync from develop and update unittest

* remove unused import

* update unittest

* update cmakelist

* add unittests
Co-authored-by: NYulong Ao <aoyulong@baidu.com>
Co-authored-by: NRuibiao Chen <chenruibiao@baidu.com>
Co-authored-by: Ncaozhou <48191911+Caozhou1995@users.noreply.github.com>
Co-authored-by: NJZ-LIANG <jianzhongliang10@gmail.com>

* strided_slice grad add fp16 support

* Add unsigned int8 propagation

* Add or modify unit tests

* Correct concat scale checking

* Apply review suggestions

* Corrections
Co-authored-by: Njoanna.wozna.intel <joanna.wozna@intel.com>