* layer_norm op with dynamic shape support INormalizationLayer in TRT8.6

* Using trt layer to make layers_norm op in lower than trt8.6
layer_norm op with dynamic shape support INormalizationLayer in TRT8.6

* ROLLBACK to layer_norm plugin when trt<8.6
* Update layer_norm_op.cc delete log

* Update layer_norm_op.cc code style

* 0-dims support cumsum and bitwise_not
* Update cumsum_op.cc
* Update test_trt_convert_bitwise_not.py
---------
Co-authored-by: NZhang Jun <ewalker@live.cn>

* fix for log xxx

* add int32/int64 for cpu/gpu; add float16/bfloat16 for cpu forward

* fix docstring

* fix bug

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bug

* using cast

* fix test

* fix api

* fix other bugs

* fix ci bug for not using dygraph guard

* add bfloat16 test

* fix ut

* bf16

* exp/expm1 support int32/int64

* fix ut

* fix ut

* fix ut

* support composite higher grad maker

* fix composite maker higher order gen

* [cmake] rm leveldb sub

* [cmake] add tag check

* [cmake] fix install dir

* [cmake] fix install error

* [cmake] fix update error

* fix

* add kernel dialect

* change DenseTensorTypeStorage to DenseTensorType

* add test case`

* add first pd_op to kernel dialect

* lower pd op to kernel dialect

* update

* update

* remove useless code

* add attrite print test

* fix bug

* update

* update

* update

* update

* polish code

* fix bug

* polish  code  and add python test

* add test

* fix test error

* add env flag

* fix bug

* revert test env

* change cc_test_old to cc_test

* fix build_static bug

* fix type test error

* udpate cmake

* disable test in windows

* fix inference compile

* modify tensorrt ci timeout

* activation ci bug fix

* comment out  int8 mode test_trt_dynamic_shape_groupnorm

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

* Remove climits.

* Fix problem of pickle and NCCL_P2P_DISABLE in distributed testcases in
cuda12.

* Fix problem of TimeOut of distributed testcases under cuda12.

* Fix bug of test_sync_batch_norm_op_static_build accuracy problem under
cuda12.

* Remove useless code modification.

* fix api rename

* support amp logic for some prim ops

---------
Co-authored-by: Nkangguangli <kangguangli@hotmail.com>

* add user to check composite_rule.py

* add committer for reviewing prim backward file

* add auto tuner

* fix prune

* fix sharding prune and mbs candidates

* fix cfg

* fix launch

* fix launch

* add unittest

* fix code style

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

* Remove climits.

* Fix problem of pickle and NCCL_P2P_DISABLE in distributed testcases in
cuda12.

* Fix problem of TimeOut of distributed testcases under cuda12.

* Remove useless modification.

* Remove useless modification.

* move batch_norm prim test to op_test

* fix optest bug

* add test to cmake

* add cinn test case

* fix batch_norm prim grad bf16

* fix code

* add cuda check

* fix batch_norm bfloat16

* fix cpu bfloat16 bug

* skip non-bfloat16-supported platform

* fix code

* fix cinn rtol and atol in bfloat16

* fix name

* fix config

* [Zero-Dim] paddle.nanmedian support 0D Tensor

* fix CI

* update

* update

[BugFix]: Fix ci test bugs in test_fuse_gemm_epilogue_pass.py and test_fused_gemm_epilogue_op.py (#54519)

* fix ci bugs in fused_linear

* fix code style

* support mutable attr is input for build

* add ut

* solve conflict

* fix A100 CUDA12 ut

* fix ci uts

* fix test_sync_batch_norm_op

* fix sync bn op ut again by separating 2 files

* fix codestyle ci

* combine other PRs

* fix codestyle

* fix codestyle ci

* [IR]Polish ProgramTranslator private member code style

* update blog

[IR&PASS] part 3-2: add PatternApplicator and FrozenRewritePatternSet, refine PatternMatch code, add some api for Builder (#54492)

* [IR&PASS] add PatternApplicator and FrozenRewritePatternSet, refine PatternMatch code, add some api for Builder and TypeId

* fix comment