* modify feed_data for dataloader in pipline parallel mode

* add pre-commit

* remove read op, use feed op

* fix validate batch_size

* tiny fix

* support catch EOFException

* fix conflict

* fix conflict

* fix executor if cond

---------
Co-authored-by: Frida-a <2624653516@qq.com>

* update

* fix comile error

* generate .parsed.yaml file from .yaml file

* code style fix

* bug fix

* remove backward op

* add generator/ folder

* add .gitignore

* fix bug : mkdir for .parsed.yaml file

* try to fix bug:add dir

* fix small bug in reshape spmd rule

* small fix in unit test

* bind python interface for pass manager

* add ut

* revert unused change

* Gen all Apis

* Gen python c apis

* Add empty file

* Fix cast data type

* Fix None dtype

* fix inplace with set_parameter

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* refine code

* refine code

* fix bug

* refine op_gem

* fix bug

* stride flag open

* modify sum with divide net bug mutablesttribute

* delete prin

* check_unregistered_ops

* fix

* [prim][newir] add basic framework for primitive

* support desctensor in new ir

* add vjp interface

* support vjp in new ir

* support vjp in new ir

* polish vjp interface

* fix stop_gradients set

* fix vjp dispatch

* add comment

* add vjp test for new ir

* add test for tanh vjp

* [prim][newir] add basic framework for primitive

* support desctensor in new ir

* support vjp in new ir

* support vjp in new ir

* polish vjp interface

* fix stop_gradients set

* fix vjp dispatch

* add comment

* add vjp test for new ir

* add test for tanh vjp

* add eager and static backend for warp lower level api

* support call_vjp pybind

* polish code and add test for vjp

* remove useless code

* polish code

* remove useless code

* support mean vjp

* backward origin code

* add test for mean vjp and support has_vjp function

* fix call_vjp

* polish code

* add attrs and dtype interface

* add primitive ops set for backend

* fix compile bugs

* fix some bugs

* fix windows bugs

* add vjp test for tanh_

* fix inference CI

* fix inference ci

* modify fluid cmake

* origin test of tanh and mean passed

* fix conflict

* modify stop_gradient

* remove useless deps

* add cmake

* modify block.ops

* modify test

* fix conflict

* reply review comments

* reply review comments

* pulish code

* fix comment

* fix test

* polish code

* modify backward stop_gradients

* modify static_backend.cc

* refactor grad_op

* support add and add_inplace vjp

* remove useless code

* remove useless code

* remove cout

* modify add_n

* modify add_n with add_vjp test

* modify add_n with add_vjp test

* fix conflict and concat call_vjp

* modify backward test

* Add more gen api

* modify split kernel pass

* modify concat api

* modify builtin split bug

* delete vlog

---------
Co-authored-by: Ncxxly <chenxx_id@163.com>
Co-authored-by: NCharles-hit <wanghao107@baidu.com>
Co-authored-by: Nzhangbo9674 <zhangbo54@baidu.com>
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: N0x45f <wangzhen45@baidu.com>

* add symbolicDimProduct & symbolicDimMgr without method shape_constraint related

* split ddim in phi, add a target ddim, used by pd_type

* add pd_type.cc to ir_shape CMakeLists

[NewIR]Add NOT_FOR_INFER to prune Inference Library Size and Split VJP CodeGen into pd_op_vjp.cc (#56352)

* [NewIR]Prune Inference Library Size and Remove IR Dialect

* remove options

* add NOT_FOR_INFER

* fix pd_vjp.cc

* polish deps

* fix code style

* fix unittest

* fix cmake

* fix inference CI

* add code

* fix bug

* fix bug

Support to dump information in stages according to the fusion group during the compilation process, instead of after the compilation is completely completed.

* [NewIR]Add approve list for Inference library size growth

* test=document_fix

* fix inplace with set_parameter

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* refine code

* refine code

* support ir fill constant

* Integrate quantize/dequantize linear and add config for explicit quantization

* Fix the build error

* Add macro for TRT version < 8.0

* Remove qdq UT from windows

* Fix UT failure

* Check TRT version in qdq UT

* Test tensorrt_explicit_enabled API

* Disable QDQ UT if TRT version < 8.5

* Add quantization postfix into public APIs

* Apply code formatter

* Fix the UT failure for explicit quantization

* Apply code formatter on modified files

* Correct the year in copyright