* add meshgrid composite rule

* add meshgrid composite rule

* update

* add into CMakeLists

* fix

* update

* update

* optimize code

* fix meshgrid op

* update test

[CodeStyle][C408][C409][C410] Fix unnecessary <dict/list/tuple> call and unnecessary <list/tuple> passed to <list/tupule>() (#51928)

* autofix

* add select config

* autofix C410

* add C410 select

* replace assert false with AssertionError

* 修改配置文件多余的部分

* simplify batch_norm composite rule

* polish code

[Zero-Dim] Support 0D for numel/rank/size/optimizer/create_parameter/create_global_var, fix some usage to adapt 0D (#51566)

* remove super call with parameters

* fix bug

* Add flatten composite rule

* get the right xshape and pass func test

* add cinn unit test

* Remove cinn test, wait for it to be added after repair

* add comp test to test_flatten_contiguous_range_op.py

* remove func test on composite_ops

* Add comments to maybe_wrap_dim func

* remove commented code

* fix the problem with 0D tensor case

* add flatten split rule comment

* fix syntax issues

* block flatten on resnet_prim_cinn

* init change

* tmp commit

* add layer_norm InferMeta check

* cast type modify

* [CINN]Enhance CacheKey hash logic by considering input dtypes (#50557)

* [CINN]Enhance CacheKey hash logic by considering input dtypes

* add unittest

* fix typo

* fix typo

* fix map.at

* fix find

* fix test

* fix cinn cache key structure realize

* using ordered map for attributes

* add test by review advice

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* [prim] enable dygraph_to_static to support custom_vjp

* Pr 50885 (#7)

* [CINN]Enhance CacheKey hash logic by considering input dtypes (#50557)

* [CINN]Enhance CacheKey hash logic by considering input dtypes

* add unittest

* fix typo

* fix typo

* fix map.at

* fix find

* fix test

* fix cinn cache key structure realize

* using ordered map for attributes

* add test by review advice

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* [prim] enable dygraph_to_static to support custom_vjp

* fix code in a dy2static-friendly way.

* [dystatic] add hooker for prim

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: Njiangcheng <thisjiang@qq.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>

* [prim] enable dygraph_to_static to support custom_vjp

* fix cast prim and vjp dtype mapping error bug

* recover

* big tol

* [CINN]Enhance CacheKey hash logic by considering input dtypes (#50557)

* [CINN]Enhance CacheKey hash logic by considering input dtypes

* add unittest

* fix typo

* fix typo

* fix map.at

* fix find

* fix test

* fix cinn cache key structure realize

* using ordered map for attributes

* add test by review advice

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* [prim] enable dygraph_to_static to support custom_vjp

* Pr 50885 (#7)

* [CINN]Enhance CacheKey hash logic by considering input dtypes (#50557)

* [CINN]Enhance CacheKey hash logic by considering input dtypes

* add unittest

* fix typo

* fix typo

* fix map.at

* fix find

* fix test

* fix cinn cache key structure realize

* using ordered map for attributes

* add test by review advice

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* [prim] enable dygraph_to_static to support custom_vjp

* fix code in a dy2static-friendly way.

* [dystatic] add hooker for prim

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: Njiangcheng <thisjiang@qq.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>

* [prim] enable dygraph_to_static to support custom_vjp

* fix cast prim and vjp dtype mapping error bug

* Cxx prim custom vjp (#8)

* [CINN]Enhance CacheKey hash logic by considering input dtypes (#50557)

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* [prim] enable dygraph_to_static to support custom_vjp

* Pr 50885 (#7)

* [CINN]Enhance CacheKey hash logic by considering input dtypes (#50557)

* [CINN]Enhance CacheKey hash logic by considering input dtypes

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* [prim] enable dygraph_to_static to support custom_vjp

* fix code in a dy2static-friendly way.

* [dystatic] add hooker for prim

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: Njiangcheng <thisjiang@qq.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>

* [prim] enable dygraph_to_static to support custom_vjp

* fix cast prim and vjp dtype mapping error bug

* [dy2static-ci] fix dy2static ci errors.

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: Njiangcheng <thisjiang@qq.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>

* [Prim] enable whitelist and blacklist for custom_vjp

* debug log

* clear log

* fix

* nothing

* less memory

* recover utils

* fix

* modify threshold value

* skip layer_norm for test_bert

* back to bert success state

* add epsion

* delete unnecessary compute

* modify amp dtype

* modify * order

* delete sqrt check and fp16

---------
Co-authored-by: Nxuyongsheng <xuyongsheng@baidu.com>
Co-authored-by: Nxysheng-baidu <121540080+xysheng-baidu@users.noreply.github.com>
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: Njiangcheng <thisjiang@qq.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>
Co-authored-by: Nxiongkun <807377414@qq.com>

* remove no used fluid beam_search_decoder

* move Layer and related helper to paddle.nn.common

* modify Layer references from dygraph.layers.Layer to paddle.nn.common.layers

* stash changge

* remove fluid layer_object_helper, layers.py

* remove fluid layers init

* add setip

* fix unitest

* delete layers in fluid.dygraph

* merge paddle.tensor.stat,py

* fix circle import

* fix curcle import

* remove redundant in_dygraph_mode import

* revoce paddle.nn.common.* in fluid.__init__

* recovery nn.rnn

* paddle.frame use lazy import import paddle.jit to avoid circle import

* remove left dygraph.layers ref

* merge develop

* fix import error

* fix test error

* fxi merge error

* fix test fluid.Layer

* fix test error

* fix test error

* fix import error

* fix import error

* fix comments

* fix circle import

* fix rnn import error

* fix circle import

* add composite rule for squeeze

* fix pre commit

* fix pre commit

* simplify rules

* arrange code

* fix int axis

* simplify squeeze axis rules

* bugfix

* fix pre commit

* migrate fill_constant to paddle.tensor

* move fill_constant to paddle.tensor and repalce the reference

* add missing fill_constant replacement

* fix typro

* remove unused import fill_constant

* fix zeros import error

* fix circle import

* fix layers.zeros

* fix unitest

* fix unitests

* fix unitest

* use paddle.full replace fill_constant in samplecode

* fix sample code

* recovery xpu test

* recovery xpu test

* fix circle import

* fix utils import error

* fix utils error

* fix circle import

* redo

* fix circle import

* fix prim fill constant import

* fix type error

* fix increase error

* fix test error

* fix fill_constant

* fluid clean: remove fluid.ir to framework.ir and some funcs form fluid.layer.io to incubate.

* delete fluid.ir

* add bn vjp

* fix example

* fix code

* fix code

* fix cinn case

* fix code

* fix example

* fix code

* fix example

* fix example

* add sqrt composite rule/test

* add sqrt composite rule/test

* fix ops/sqrt, add cinn test

* fix sqrt_comp

* fix sqrt_comp

* fix sqrt_comp

* fix

* fix codestyle

* fix codestyle

* add fp16 test

* add ops/sqrt

* fix

* fix

* fix unitest

* fix

* fix

* fix

* support amp logic for layer_norm and softmax

* fix layer_norm amp

* fix layernorm api and dropout fp16

* fix layernorm api and dropout fp16

* fix bn, ln dtype in float16

* fix dropout fp16

* fix comment

* fix cinn dropout amp error

* feat: add relu composite rule

* feat: add relu composite rule, maximum op

* feat: add relu composite rule, maximum op

* feat: add relu composite rule, polish comments

* feat: add relu composite rule, polish comments

* feat: add relu composite rule, add python api of relu

* feat: add relu composite rule, commit hook

* fix: maximum type error & ban cinn test

* fix: maximum input sequence bugs

* resolve conflicts

* fix: code style bugs

* add: relu fp16 test

* feat: add rsqrt composite rule

* feat: add rsqrt composite rule

* resolve conflicts of composite rule

* fix: delete check eager

* support amp logic for layer_norm and softmax

* fix layer_norm amp

* fix layernorm api and dropout fp16

* fix layernorm api and dropout fp16

* fix bn, ln dtype in float16

* fix dropout fp16

* fix comment

* add pow composite rule

* fix test

* fix unit test

* update test

* fix test

* update

* refine _found_inf

* init

* modify

* [CINN]Enhance CacheKey hash logic by considering input dtypes

* add unittest

* fix typo

* fix typo

* fix map.at

* fix find

* fix test

* fix cinn cache key structure realize

* using ordered map for attributes

* add test by review advice

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* first test

* add unsqueeze_op

* Add expand composite rule

* reshape x when dim_in less than dim_out

* add tile op for expand

* remove rensor shape case when comp prim

* enable cinn case

* dim_out can't be 0

* update test case for prim type

* support run haokanctr model in heterps-models

* polish setup.py

* polish JVM_LIB in evn_dict

* align infer auc with DistPsArch pre-stable

* add attn_bias.py

* add Python interface

* add license

* add test_attn_bias.py

* fix CPU test error

* fix ci error

* move fluid.utils to paddle.utils.layers_utils

* fix error

* delete original fluid layers utils

* remove import and old utils

* remove more old utils import

* change import path of fill_constant in the layers_utils.py

* fix mistake

* fix error

* expose in __init__.py

* for comment

* when change the ref of func is_sequence, it should change to the root of is_sequence instead

* for codecheck

* support run haokanctr model in heterps-models

* polish setup.py

* polish JVM_LIB in evn_dict