* 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)

* cherry pick from #43397

* fix code

* place all save/load path into temporary directory

* rm no need unittest

* fix test

* fix test.

* fix pg bugs

* update

* Rename dropout is test (#43098)

* replace dropout_is_test with is_test.
* improve atol on a100.

* fused_attention fused_feedforward api support Model Tensor Parallel (#42985)

* fix is_test bug in fused_feedforward. (#43508)
Co-authored-by: NLi Min <11663212+limin2021@users.noreply.github.com>

    Use tempfile for unit test & custom op test to replace temporary files to ensure that all temporary files will be deleted normally after a single measurement, avoiding the usage of disk files.
    The PR only involves single-test and op test modifications and does not affect existing functionality.
    Release/2.3 branch modified in PR43521;

* fix unit test temp file, test=develop (#43155)

* add cleanup code, test=develop (#43305)

* Fix numpy 1.20+ deprecation warnings (#42929)

* Replace np.bool/np.bool8 with np.bool_

* Replace np.object with np.object_

* Replace np.complex with np.complex128

* Replace np.float with np.float64

* Replace np.int with np.int_

* Rerun pre-commit for newer pre-commit configuration

* Use builtin bool instead of np.bool_ based on the context

* fix mode dtype
Co-authored-by: Nzlsh80826 <rewang@nvidia.com>

* Add progress bar and speed up Quantization Pass

* fix typo

* fix bug of strided_slice (#43388)

* fix stride_slice bug

* fix bug

* fix bug of infer shape for slice (#43443)

* [EinsumOp] Polish forward logic and backward logic for optimize (#42603)

* change logic for optimize

* modifty

* merge

* change einsum_v2 as default and add new flags: FLAG_einsum_opt=1|0 (#43010)

* [EinsumOp] Make EinsumOp support bfloat16. (#43085)

* change einsum_v2 as default and add new flags: FLAG_einsum_opt=1|0

* make EInsumOP support bf16

* add unittest for BF16

* add condition for test_BF16

* fix bugs

* fix

* change the backward api to fit einsum op