* update

* update cmake

* update

* update

* update

* update

* Revert "update cmake"

This reverts commit 1e1dc1b2bc9967b725201272607f939260070fd4.

* update

* update

* update

* update

* [AutoParallel] update while control_flow with pipeline

* update process group instantiate

* fix micro_bsz for reshard

* update api for micro batch size

* add strategy for dp optimization

* mv all unittests test

* fix error

* fix error

* fix

* fix

* del unittests

* fix paddle_build.sh

* fix

* fix test

* fix add test

* fix

* fix

* fix

* merge develop

* fix

* fix

* fix

* fix

* fix

* merge develop

* fix test_async_read_write

* fix test_async_read_write

* merge develop

* fix

* fix import legacy_test

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix bug

* fix

* fix coverage test bug

* fix

* fix

* fix

* fix

* fix

* fix code sstyle

* fix code

* fix code

* fix

* fix

* fix

* del test_sequence_enumerate_op.py

* fix

* add infer_shape interface

* update

* support auto generate for static op reduce_amax

* set reduce_amax attr 'axis' type as IntArray

This reverts commit 4bcb5cc4.

* fix inference static lib bugs

* add if for copy

* fix py3 bugs

* support activation prim op bf16 dtype

* remove useless code

* add deal with np.int type

* add assertEqual for dtype.

* fix bug

* fix by comment

* fix np.integer.

* fix the strong Wolfe conditions for line search

* pass the max_line_search_iters parameter into line search method (strong_wolfe)

* update_c++17

* update_c++17

* fix windows bug

* solve cirle depend

* solve cirle depend

* solve cirle depend

* solve cirle depend

* solve cirle depend

* fix windows bug

* fix compiler error

* fix compiler error

* update eigen3

* update eigen3

* update eigen3

* fix mac-py3 compiler error

* update C++17

* fix mac compiler error

* fix compile error

* fix coverage_compiler error

* fix coverage_ci_problem

* fix coverage_error

* fix_kunlun200 compile error

* fix kunlun200 compiler error

* fix compile error

* fix compiler error

* fix py3 failed test

* fix kunlun200 compiler error

* test

* fix test error

* fix test error

* fix test error

* test

* test

* fix mac py3 error

* fix mac py3 error

* fix mac py3 error

* fix test error

* fix test error

* fix compile error

* fix compile error

* fix compile error

* test

* test

* fix compiler error

* test

* test

* debug on ci

* fix compiler error

* fix compiler error

* test

* fix cinn compiler error

* test

* fix rocm cmpile error

* fix cinn and kunlun compile error

* update c++14

* Update flags.cmake

* softmax fwd: force vec size to 1 when dtype is float

* use 1024 as threshold to use cudnn

* Reimplement the check_nan_inf function as check_numerics kernel.

* Remove the cpu implemention to phi.

* Add ifdef for the including of omp.h.

* Move the use of FLAGS_check_nan_inf_level out of header file.

* Implement a common PrintAndThrowError function.

* Fix the error using of __NVCC__, which should be instead with __CUDA_ARCH__.

* Add dependency of phi.

* Polish codes and unittest.

* add timer to log deps

* rename flag

* add ut

add pass/analysis_manager.h ir/type_name.h pass/pass_instrumentation.h pass/utils.h and adjust pass dir (#54170)

* del sequence_enumerate_op

* del analyzer_pyramid_dnn_tester

* fix

* modify gradOpMaker

* modify concat bug

* modify concat bug

* delete unnecessary block

* modify fill_any_like value from 1 to 0

* modify fill_any_like dtype from other to -1

* ci_bug

* refine auto gen

* refine code

* refine code

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* update

* update

* update

* update

* update

* update

* update

* update

* [Auto Parallel] Reorganize the fold structure

* [Auto Parallel] Fix some import errors

* fix compile error

* delete code

* support auto generate for activation_op relu6

* add generated_static_op for activation_op in CMakeLists.txt

* add op name normalizer

* disable unittest

* rm , from \* @param(.*?),

* Apply suggestions from code review

* Apply suggestions from code review

* Copy QAT files from PaddleSlim

* Integrate QAT API into Paddle

* Replace eval function

* Reduce test_quant_aware run time

* Apply new formatter on modified files

* Remove code check for Paddle version check

* Copy quant_post_quant_aware UT from PaddleSlim

* Integrate test_quant_post_quant_aware UT into PaddlePaddle

* Apply new formatter on modified files

* Remove redundant code and add unittests

* Add new unittests

* Update the time limit of new unittests