* cherry pick #43088 #40664

* fix clang format

* 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

* 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>

* [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

    使用 tempfile 替换临时文件，保证在单测结束后，所有临时文件都会被正常的删除，避免占用磁盘文件。
    此 PR 仅涉及单测修改，不影响现有功能。
    develop 分支修改在 PR 43376

* Fix cond_block_grad error when handle no need grad vras

* Add comment and UT

cherry-pick PR #42777

* [Dy2Stat]Modify all jit.save path into tempfile

* [Dy2Stat]Modify all jit.save path into tempfile

* [MLU] add mlu new profiler (#41138)

* [MLU] add mlu new profiler

* fix format

* [MLU] support add callback to stream (#41831)

* [MLU] add gather mlu kernel (#41969)

* [MLU] add mlu activation kernels (#41751)

    add class NameScopeHelper for adding namescope info
    添加更多 种类优化器状态的映射
    为 IpuStrategy 添加 compilation_progress_logger option 用于输出 编译进度
    部分代码清理和杂项优化

* Reduce time variation for cuda_managed_memory_test (#42458)

* Disable standalone executor for test_tensordot (#42476)

* fix wrong place

* skip bf16 test if not supported (#42503)

* Fix Release 2.3 Bug

* Fix format

* [Dy2Stat]Fix losting pre/post hook from outermost layer while jit.save

* fix kwargs

* fix unittest

* Extend python einsum interface to make einsum_v2 support multi-operands and switch it to default.

* add opt_einsum dependence

* add yaml and support eager model

* fix by code review

* fix pad3d infer shape

* fix pad3d

* fix pad default value

* fix order

* add unit test

* fix unittest for ci coverage

* add ndhwc check

[cherry-pick 2.3] Add fused_multi_transformer op to optimize transformer generation performance (#42311)

* Add fused_multi_transformer op to optimize transformer generation performance (#41814)

* fix fused_multi_transformer compile failed in cuda arch < sm53 (#42315)

* fix ci timeout

* fix bug of building InferMetaContext (#42211)

* add unitest

* 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

* implement autotune python API

* fix doc

* fix windows error

* fix doc and enable auto-tuning when config is None

* fix windows error

* fix doc

[Eager] Remove retain_grad_flag in accumulation_nade, add is_new_grad args in operator (#42240) (#42290)

cherry-pick #42140

* [Eager] Support div scalar in eager mode

* Updated and remove debug logs

* Remove list, use 'or' directly

* Remove useless statement