* Add fp16 support for scale/bias for fused_layernnorm_residual_dropout_bias op.

* Remove useless code.

* Remove useless code.

* Optimize layer_norm fwd when cols is 1024.

* Remove useless code.

* Minors.

* Minors.

* Modifications accordding to reviews.

* Minors.

* Optimize layer_norm bwd kernel when cols is 1024.

* Polish layer_norm_bwd_1024 kernel.

* Limit ln_bwd_1024_kernel to paddle_with_cuda.

* Fix double type compile error.

* Add optimization of ln bwd for fused_dropout_add_ln op.

* Polish codes.

* open header for custom kernel

* add core utils

* tidy core code

* tify header

* tidy include

* tidy namespace

* resolve conflit

* fix unittest and coverage

* remove platform using

* resolve conflict

* resolve conflict

* fix digamma namespace error

* fix xpu full kernel error

* fix xpu full kernel error

* polish details

* add place for lib storage

* update forward argument mapping

* fix compile failed

* fix test failed

* refactor scale kernel that its input is selected_rows

* complement upload file

* move digamma to pten; test=develop

* fix mutable_data bugs; test=develop

* remove useless code; test=develop

* remove kernel compute; test=develop

* fix bug; test=develop

* add the test case for the UVA

* add the context load for the uva

* Add graph_sample kernel

* Add graph_sample commit

* add new commit for graph_sample

* add unsigned long long int

* delete some remarks

* add cpu version

* add cuda eids

* add cpu eids

* delete _uva

* optimize speed: emplace_back, last_layer

* add to_uva_tensor

* add cpu return_eids choice

* add gpu return_eids choice

* add cpu reindex_nodes

* add gpu reindex_nodes

* rename op and add OMP for cpu

* add incubate api

* fix the compile problem for the PADDLE_ENFORE and different device

* fix the rcom and windows compile problem

* add unittest for graph_sample_neighbors

* fix cpu unittest and unique problem

* fix uva unittest, fix cuda unique problem

* fix the windows compile problem

* fix the windows rand_r compile problem

* add correct unittest, add src_eids dispensable

* delete black

* combine uva unittest

* mv Sample_index to Sample_Index; check input shape; fix random sample func

* delete memset & cudaMemset

* fix according to PR comments

* fix rocm ci

* modify function names according to the specification

* fix windows_openblas ci

* refine annotations, fix windows unittest, add default value for uva device_id, fix bug for input nodes with empty neighbors

* fix rocm ci

* rename graph_sample_neighbors as graph_khop_sampler, add incubate api doc

* add data type

* fix conflict
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>

* remove remake densetensor

* fix eager test error

* fix bug in eager

* add full_kernel xpu

* fix full xpu register device type error

* fix full kernel bug

* add fulllike kernel impl and replace with raw kernel

* fix dev_ctx convert template args error

* modify namespace and header file

* add isinf check

* fix input type args in TensorSetConstantXPU error

* optimize kunlun/xpu softmax_with_cross_entropy add add unitest
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* fix slice bug

* fix syntax error

* 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

* [MLU]Add conv2d op

* [MLU]fix comment

* [MLU]adapt NCHW of conv2d op

* move kernel_primitives

* use pten's errors

* 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>

* 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

* 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

* [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

* 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

* - more unlikely

* - compilation fix

* - removed redundant definition

* - fix

* - Fixes

* - compilation fix for windows