* Removed debug info

* Added automatic code generation for final state Eager Dygraph

* Modified backward yaml

* Fixed CI Issues

* update cmake file to remove fluid kernel

* add pten declaration.h to where pybind.h used

* fix sync_bn and tensorrt_engine

* refine detection_library

* fix interpreter_core

* support eager legacy

* fit eager legacy for pten

* fall back to cpu if not found kernel

* fix compile problem

* fix compile problem

* refine fallback logic

* fit operator.run()

* fix xpu compile

* fit for new_exec

* add REGISTER_OP_WITHOUT_GRADIENT

* un-cache pt_kernel_context

* fix compile

* fix cudnn

* fix compiling with on_infer

* fix mkldnn

* fix isfinite_v2

* fix xpu problem

* fix op_device

* refine fallback for xpu

* fix xpu compile

* merge develop

* refine code format

* fix compile

* fix compile

* add data_transfer

* fix PreparePtenData

* fix cpu context

* merge develop

* fix compile

* fix error device context

* fix xpu

* fix dev_ctx

* cast xpu kernel init

* cast xpu kernel

* replace with raw cast xpu kernel

* fix cast kernel bug

* add the missing break

* modify namespace and header file

* Added selected_rows and rw_lock to pten

* Renamed the unit test target to fix CI

* Removed Class SelectedRows in Fluid, changed include/cmake relationship, use pten::SelectedRows in Fluid

* Remove rw_lock.h,rw_lock_test.cc in fluid

* Use pten::RWLock and pten::AutoRDLock, fix CI

* Use pten::SelectedRows

* Use pten::SelectedRows

* Fix to pass NPU CI

* Selected_Rows inherits from TensorBase

* Use pten::SelectedRows, to pass NPU CI

* To fix NPU CI

* To fix NPU CI again

* Use paddle/pten/core/enforce and polish code

* Support imperative selected_rows_to_lod_tensor

* Polish code

* [MLU]Add conv2d op

* [MLU]fix comment

* [MLU]adapt NCHW of conv2d op

* sync misc changes

* apply comments 01

* fix compile error

* remove is_ipu_place check

* add authors
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* sync changes

* restore cmake

* update ir cmake and setup.py

* update inference_lib cmake

* split PR
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* move kernel_primitives

* use pten's errors

* add eigen deps

* update

* sync misc changes

* apply comments 01

* fix compile error

* remove is_ipu_place check

* add authors
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* sync changes

* restore cmake

* update ir cmake and setup.py

* update inference_lib cmake

* restore for split PR
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* add profile record for dygraph

* add op type in record

* fix little bug

* solve conflict

* Optimize layer_norm fwd when cols is 1024.

* add sigmoid cross entropy with logits to kl2. test=kunlun

* add sigmoid cross entropy with logits to kl2. test=kunlun

* follow comments. test=kunlun

* support npu weight unified H2D copy

* remove redundant variable

* fix gradient accumulator bug. test=kunlun

* fix typo. test=kunlun

* fix typo. test=kunlun

* fix unit tests. test=kunlun

* using TensorCopySync. test=kunlun

* only fix for xpu place. test=kunlun

* infermeta context init design

* support infermeta called in fluid op

* add hasattr and attr methods

* add dygraah GetVarPtrs support

* rename arg_map_context to arg_map_utils

* add registry for arg map func

* resolve conflit

* refactor op utils design

* polish meta config

* fix details

* remove hasattr method

* resolve conflit

* revert cmake order change

* revert some change

* change init pos

* fix compile faileed

* fix typo

* fix inference failed

* fix windows ccompile failed

* polish format
Co-authored-by: NWang Huan <wanghuan29@baidu.com>

* first commit

* add more changes

* add trace event data structure definition

* convert enum item to string for cupti enum explaination

* modify paddle_enforce_eq description

* [inference] update convert reduce op&ut,test=develop

* update

* update

* update

* add int32 support

* add int32 support

* add comments

* trt < 7.0 do not support int32

* test=develop

* update

* test=develop

* [MLU]add mlu kernel for fill_constant op

* delete device_context DEPS

This reverts commit 9059ef69.

* [MLU]add mlu kernel for concat and split op

* delete device_context DEPS

* init commit

* remove comments

* remove nchw branch

* optimize code

* apply fast div mod in 1D kernel, rm 3D kernel

* move init of FastDivMode to CPU

* 3D kernel for nchw, FastDiv for 1D kernel

* debug done. process boundary

* 2^n

* optimize

* optimize

* change code & optimize code

* Added selected_rows and rw_lock to pten

* Renamed the unit test target to fix CI

* Removed Class SelectedRows in Fluid, changed include/cmake relationship, use pten::SelectedRows in Fluid

* Remove rw_lock.h,rw_lock_test.cc in fluid

* Use pten::RWLock and pten::AutoRDLock, fix CI

* Use pten::SelectedRows

* Use pten::SelectedRows

* Fix to pass NPU CI

* Use pten::SelectedRows, to pass NPU CI

* To fix NPU CI

* To fix NPU CI again

* transfer: string tinyformat errors and part of enforce into pten

* remove comment

* fix by code review

* assert is not compile in -DNDEBUG

* add string as dependences of paddle_inference

* add scale xpu kernel

* add scale xpu kernel

* add scale xpu kernel

* replace with pten scale kernel

* change dev_ctx

* modify float16 head path

* remove unused xpu header

[Pten]Refactor elementwise_add grad / double grad / triple grad Kernel and move them to pten (#39048)

* refactor elementwise add grad

* fix compile bugs

* fix unit test bugs

* fix file conflicts

* fix bugs when buildPtenContext