* optimize the performanece of sum api

* optimize IsDenseTensorInput

* remove debug log

* align the api name parameter annotation in math.py; test=document_fix

* Update math.py

* Update math.py

* for CI;test=document_fix
Co-authored-by: NChen Long <1300851984@qq.com>

* fit for printing cinn_launch op

* update boost::variant caster for bytes

* full api fix

* when out is None, go old dygraph mode

* by static check

* first version: support 2-inputs forwards. TODO: 1. backward  2. BroadCast  3. MultiVariable

* time out -> 120

* refactor resnext

fix en docs of some Apis (gradients, scope_guard, cuda_places, name_scope, device_guard, load_program_state, scale, ParamAttr and WeightNormParamAttr) (#41604)

* Update scope_guard; test=document_fix

* gradients; test=document_fix

* gradients; test=document_fix

* name_scope; test=document_fix

* cpu_places; test=document_fix

* WeightNormParamAttr; test=document_fix

* cuda_places; test=document_fix

* load_program_state; test=document_fix

* device_guard; test=document_fix

* device_guard; test=document_fix

* ParamAttr; test=document_fix

* scale; test=document_fix

* scale; test=document_fix

* update code example；test=document_fix
Co-authored-by: NChen Long <1300851984@qq.com>

* Add infermeta for ChannelShuffle

* Create channel_shuffle_grad_kernel.h

* Create channel_shuffle_kernel.h

* Create channel_shuffle_sig.cc

* Create channel_shuffle_op.cc

ChannelShuffle算子的描述

* Create channel_shuffle_kernel_impl.h

ChannelShuffle核函数的实现

* Create channel_shuffle_grad_kernel_impl.h

ChannelShuffle反向核函数的实现

* Add kernel register of channel shuffle and grad

注册ChannelShuffle及其反向的核函数

* add nn.functional.channel_shuffle

* add nn.ChannelShuffle

* Create test_channel_shuffle.py

* Update example of ChannelShuffle in vision.py

* Update test_channel_shuffle.py

* 修改channel_shuffle核函数的实现位置

* 修正代码格式

* 删除多余空格

* 完善channel_shuffle的错误检查

* Update unary.cc

* Update channel_shuffle_op.cc

* Update test_channel_shuffle.py

* Update unary.cc

* add channel_shuffle

* Update test_channel_shuffle.py

* Update vision.py

* 调整代码格式

* Update channel_shuffle_sig.cc

* 更新ChannelShuffle的文档

* 更新channel_shuffle的文档

* remove ChannelShuffleOpArgumentMapping

* add ChannelShuffleGradInferMeta

* Update channel_shuffle_op.cc

* 调整channel_shuffle及其梯度的核函数的位置

* fix recompute

* modify return

* [Eager] Support div scalar in eager mode

* Updated and remove debug logs

* Remove list, use 'or' directly

* Remove useless statement

* test=py3-eager

* test=py3-eager

* test=py3-eager

* reuse ConvNormActivation in some vision models

* support 3-rd order gradient

* change code format

* Add gpudnn yaml config for some OPs

* Add grad gpudnn config

* Fix CI errors

* Fix CI errors

* Fix CI errors

* Fix conflicts

* [cherry-pick2.3]fix compile bug of windows cuda11.5 (#41464)

cherry-pick

fix compile bug of windows cuda11.5 #41433

* fix bug of missing boost when compile cache.cc (#41449)

【chery-pick #41430】fix bug of random compile failure, due to incorrect compile order of dependencies

* Fix eager try catch (#41438) (#41477)

[Cherry-Pick]Fix eager try catch (#41438)

* Cherry-pick-PR41407, fix device_id bug for final_state op in multiprocess testcase (#41407) (#41475)

Cherry-pick PR #41407

* [BugFix] Add error hint for one_hot gpu version (#41335) (#41495)

* add one_hot gpu hint

* move allow_out_of_range judgement

* delete useless unittest

* fix bugs of reshape double grad infermeta (#41459) (#41493)

* [cherrypick-2.3] modify infer gpu memory strategy (#41427), remove cudnn_deterministic=True (#41341)  (#41491)
Co-authored-by: NJingZhuangzhuang <75348594+JZZ-NOTE@users.noreply.github.com>

* [Cherry-pick][ROCm] fix dcu error in device event base, test=develop (#41523)

Cherry-pick of #41521

* [Cherry-Pick]Cherry pick PR41200, PR41474, PR41382 (#41509)

* Use `self`as a parameter of _hash_with_id function to avoid error caused by hash_id reuse (#41200)

* Add fill_constant_batch_size YAML and UT (#41474)

* Switch some dy2st UT to eager mode (#41382)

* Sitch some dy2st UT to eager mode

* Fix test_lstm and remove test_transformer

* Run test_resnet_v2 in old dy mode

* Unittest recover (#41431)

* update name

* update name

* fix test

* fix fleet bind

* update name

* update name

* fix test

* fix gpups wrapper

* remove Push/Pull/Load/Save with context in client and wrapper base class

* fix

* fix

* remove some interface

* fix

* remove

* code style

* recover

* fix

* remove code unused

* remove some unused table & accessor & CommonDenseTable => MemoryDenseTable

* fix

* fix

* fix

* recover

* remove unused code

* recover unittest

* fix

* remove

* fix

* remove code unuseful

* remove

* fix

* recover

* remove
Co-authored-by: Nesythan <esythan@126.com>

* add ssd sparse table

* fix

* add cache shuffle

* fix

* fix

* fix

* fix

* fix

* fix

* add unit test

* fix
Co-authored-by: Zhou Wei <1183042833@qq.com>
Co-authored-by: NSing_chan <51314274+betterpig@users.noreply.github.com>
Co-authored-by: N0x45f <23097963+0x45f@users.noreply.github.com>
Co-authored-by: Npangyoki <pangyoki@126.com>
Co-authored-by: NSiming Dai <908660116@qq.com>
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: NZhang Jun <ewalker@live.cn>
Co-authored-by: NJingZhuangzhuang <75348594+JZZ-NOTE@users.noreply.github.com>
Co-authored-by: NQi Li <qili93@qq.com>
Co-authored-by: Nesythan <esythan@126.com>

* optimize performance

* fix

* improve coverage

* fix

* fix

* Fix leading dimension setting error in fused_gemm_epilogue_grad_op.

* Add dyload to cuBlasLt functions.

* Added cublasLtMatmulAlgoGetHeuristic to improve performance.

* Added FLAGS_cublaslt_exhaustive_search_times to cublasLt epilogue

* Added UTs to FLAGS_cublaslt_exhaustive_search_times

* Added warmup runs in algo searching of Gemm epilogue.

* Update copyright and documents.

* Fixed error handling.

* [Eager] Fix CastPyArg2Scalar in Long case

* Add more test cases for paddle.clip

* Use PyLong_AsLongLong

* Support double grad check of op in Eager mode

* fix bugs of backward yaml

* adjust code format

* fix nms op doc missing default value

* Hackathon 23

* fix bug

* fix pylint error

* try

* fix CI-Coverage

* update and add more unittest

* update

* support int16 argmax kernel

* add fp16 test

* add _grad_name and _grad_value for eager tensor

* fix paddle_enforce

* fix paddle_enforce 2

* fix grad_name

* _grad_value return lodtensor rather than tensor

* fix