* 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

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* fixed cyclic reference that caused patial import

* fixed bad change

* fix bad import

* fix bad import

* fix bad import

* fix ut failed caused by change in_dynamic_mode

* fix ut failed caused by change in_dynamic_mode

* fixed usage of in_dynamic_mode() or in_dygraph_mode()

* revert python3 to python in .pre-commit-config.yaml

* fix merge conflicts

* recompute bn grad

* fix test case

---------
Co-authored-by: Nsunli <466530738@qq.com>

* simplify layer_norm_op.cc

* support auto generate for op layer_norm

* update unittest for composite_layer_norm

* remove layer_norm_op.cc from scripts

* replace layer_norm_op with generated_op

* add get_expected_kernel for layer_norm

* update cmake kernel register function for layer_norm_mkldnn_op

* add rules

* modify no kernel yaml parse

* success op generate

* success test_silu_double

* modify bug

* modify static error

* modify silu_grad input

* modify kernel signature

* modify kernel signature

* code style

* code style

* review

* delete opinfo modify

* relocate regularizer.py

* fix bug

* fix bug

* fix bug

* relocate the import

* replace _regularization_coeff with coeff

* remove the L1DecayRegularizer and L2DecayRegularizer

* modify concat_grad add sum comp rule

* delete default mul_double_grad

* delete high grad test

* recover yaml

* modify yaml

* recover add_double_grad prim

* test(prim-cinn): split test_resnet and test_bert into three tests

* test(prim-cinn): fix cmake file to run prim test in CINN-CI

This reverts commit 45ce0ad5.

* [Dy2St]Fix x grad names when high order gradient

* Polish error msg

* Add inputs var to backward in dy2st

* Fix error

* Get grad names for backward API

* Fix save load

* Polish code

* Add ut

* [prim] fix not support optional grad bugs in higher order autodiff

* [prim] remove duplicate fill_any_like caused by infershape_for_composite

* fix _strip_grad_suffix_ bugs in higher-order autodiff

* [prim] create output for test_static_prim.cc

---------
Co-authored-by: N0x45f <wangzhen45@baidu.com>

* modify concat_grad add sum comp rule

* delete default mul_double_grad

* delete high grad test

* recover yaml

* modify yaml

[CINN]Adjust Bert unittest loss ground truth, see: PaddlePaddle/CINN#1357

* add mul doubel grad

* add sub_double_grad

* add add sub high test

* add mutiply test

* modify other unsqueeze

* delete api.yaml

* only for make ci run

* midify unsqueeze

* modify unsqueeze

* tmp

* modify operants gen

* review modify

* modify review

* debug

* debug

* modify ci cross boundary

* delete log

* add mul doubel grad

* add sub_double_grad

* add add sub high test

* add mutiply test

* modify other unsqueeze

* delete api.yaml

* only for make ci run

* midify unsqueeze

* modify unsqueeze

* tmp

* modify operants gen

* Eval during train for ResNet

* change base res

* fix prim cinn res

* remove zeros

* remove zeros

* apply gcc12 to py3

* apply gcc12 to py3

* fluid api clear

* fluid api clean

* fluid api clean

* add to sub & delete full scale

* decrease 1_div_shape_2 compute

* x_sub_mean_mul_sqrt_var_1

* delete log

* add mean var test

* nothing

* fix_prim

* fix bug

* add note

* fix logic

* fix

* add note

* fix check

* fix bug

* fix bug

* fix bug

* add debug

* fix check

* fix bug

* sync print log

* fix test case

* change default

* change test case time

* update

* update