* fix emb pass for ernie3.0

* fix emb pass for ernie3.0

* fix emb pass for ernie3.0

Cherry-pick of #43536

Backgroud in #43262

In elementwise_div UT, the numeric gradient (validation) has large relative error in comparison to analytic gradient (Paddle OP).

    The default rtol for UTs is 0.005
    The rtol for float32 and float64 elementwise_div OP is set to be 0.05
    The rtol for float16 and bfloat16 elementwise_div OP is set to be 1.0

The relative error is too large, so this PR provides user defined gradients to test elementwise_div followed by the analytic method.

* cherry pick 43890

* Update api docs (#42725)

* Fix max_pool3d doc, test=document_fix (#42715)

* fix pooling doc

* fix typo test=document_fix

* fix doc typo, test=document_fix

* fix adaptive_avg_pool1d doc bug (#42721)

* fix adaptive_avg_pool1d doc bug

* fix adaptive_avg_pool1d doc bug

* fix spectral_norm en doc (#42728)

* Fix example code bugs (#42739)

* update readme test=document_fix

* fix api docs bugs test=document_fix

* fix code example bugs;test=document_fix
Co-authored-by: NLinjie Chen <40840292+linjieccc@users.noreply.github.com>
Co-authored-by: NWei Shengyu <weisy11@163.com>
Co-authored-by: NWalter <dongshl1226@hotmail.com>
Co-authored-by: Nwangna11BD <79366697+wangna11BD@users.noreply.github.com>

* Update kaiming.py

* Update initializer.py

* fix doc bug;test=document_fix

* fix doc;test=document_fix

* Update initializer.py

* Update kaiming.py

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

* elementwise support

* commit

* update quantization clip and round

* fix quantization clip and round Attribute

* fix typo

* Create Tensor by paddle::empty  in custom operator (#41840)

* create tensor by empty in custom op

* fix some bug

* update relu custom op demo (#43173)

* Fix incompatible error for custom op Placetype (#43749)

* fix incompatible error

* rmeove default constructor

* add macro

* fix cpu make error

* add DefaultGPUPlace api
Co-authored-by: Nzyfncg <zhangyunfei07@baidu.com>

* lazy creating work queue

* fix dry_run

* Use all sitepackages path as the library/include path (#42940)

* Fix several unit tests and increase the unit tests stability (#43670)

* Reduce gather op unit tests size and increase the timeout

* Add NVIDIA_TF32_OVERRIDE for multi-processes environment

* Remove record test for device event ut

* Fix 3 unittest errors (#43532)

* Fix test_fuse_resnet_unit failure

* Fix test_imperative_auto_mixed_precision failure

* Fix sparse_attention_op error

* Fix sparse_attention_op error

* Use fixed random seed (#43659)

* for CI test_collective_sendrecv_api
Co-authored-by: Nzlsh80826 <rewang@nvidia.com>
Co-authored-by: NShijie <505749828@qq.com>

* fix structure infos conflict in static return_list mode. test=develop

* fix format. test=develop

* fix format. test=develop

* cherry pick form develop 43621

* code format

* paddle2onnx update to 0.9.8

* Correct elementwise quantization (#43693)

* [Bug fix] Do not quantize weights Y when matmul X and Y both other ops outputs (#43297)

* fix some matmul that X and Y both other ops outputs, do not dequantize the Y.

* fix CI format

* fix according to review
Co-authored-by: Njoanna.wozna.intel <joanna.wozna@intel.com>

* add bilinear_interp_v2 converter

* update op_teller.cc

* add unittest for bilinear_interp_v2 converter

* code format

* bug fix

* code format and add unittest

* remove merged modify in op_teller.cc

* code format

* code format

* fix scale init error

* fix conflict

* improve the doc

cherry-pick #42750。

QA反馈，#42750 优化后，solov2模型性能可提升6%，故cherry-pick到2.3。因#41096 将linspace python实现从fluid.layers.tensor挪到了paddle.tensor.creation下，该pr不在release/2.3分支中，故将#42750 中python修改同步到fluid.layers.tensor.linspace中。

* merge_release_and_dev

* merge_release_dev

* update

* Use tempfile to place the temporary files (#43237)

* tempfile_fix

* update

* fix_CI

* update_word2vec.inference.model

* remove_change_in_word2vec_book

* fix_word2vec_book

* rm_affine

* update

 fix the bug that _DataLoaderIterMultiProcess use time to generate the seed

cherry-pick #43318

[cherry pick] Support optional residual add in fused ops and slice large tensor for cudnn_softmax (#43719)

 [cherry pick] Support optional residual add in fused ops and slice large tensor for cudnn_softmax

cherry-pick #43635 #43681 #43474

    Only cherry pick format tool(clang-format, yapf, cmake-format) upgrade to release/2.3, lint tool such as cpplint will not move, because we are not going to fix cpplint error in release/2.3
    pre_commit.sh also is moved to release/2.3 so that both PR-CI-pre-commit and PR-CI-pre-commit-23 can works.
    pre install clang-format to avoid repeat installation due to pre-commit's multi-thread running.

* fix decode_jpeg example code

* fix decode_jpeg example code

在 amp-o2功能开发过程中，为了支持指定网络存储数据类型的功能，添加state_dict hook功能，但是在Layer的set_state_dict是通过state_dict获取网络参数并加载的，hook接口的存在导致 set_state_dict无法加载到原本网络参数。
本pr通过增加hook控制开关，在set_state_dict中禁用hook解决该问题。

详见pr43407

bug：
当class Layer的_buffers中有参数为None的时候，调用to()方法将会报layer to 'NoneType' object has no attribute 'place'的错误。
修复方法：
to()方法增加对_buffers中None类型参数的判断，如果为None，跳过该参数的处理。

* fix usage of prefetch_factor

* add assert

* add docstring and change prefetch_factor when num_workers=0

* fix doc

* cherry pick #43088 #40664

* fix clang format

* Update CUDA and TensorRT version for CI

* disable ut

* Update TensorRT for CUDA 10.2

删除 layout autotune 中的多余打印
背景 ：layout autotune log会导致模型打印信息增多

* modify xpu.cmake,*test=kunlun (#41832)

* modify xpu.cmake,*test=kunlun

* modify xpu.cmake,*test=kunlun

* modify xpu.cmake,*test=kunlun

* modify xpu.cmake,*test=kunlun

* support bilstm,*test=kunlun

* [cherry-pick]support multi_layer of bilstm,*test=kunlun

* [cherry-pick]refactor sum unit test,*test=kunlun (#43561)