* support register with attr

* add infrt_with_gpu macor

* [infrt] rename pd dialect from mlir to infrt. test=develop

* [infrt] fix the kernel signature generator bug.

* skip infrt when checking log fatal, test=document_fix

* remove test=document_fix

* update commit

* move activation op

* adjust code format

* fix compile bugs

* fix ci bugs

* code format adjust

* code format adjust2

* activate ci status

* modify according to comment

* move activation kernel

* revert relu6

* reduce add code

* perfect use_phi_functor

* completing func name

* fix bugs when run ci

* fix bugs when run infr

* modifpy infrt get kernel signature

* add trt.execute

* merge trt.engine type

* update return op

* update comments

* fix style

* fix style

* run document_preview when samplecodes be tested

* run document_preview when samplecodes be tested

* sphinx-build symbol link; and build-doc default

* FLUIDDOCDIR typo

* download the required configirations and some other scripts

* install required python packages.

* clone specified branch of docs repo, and if failed, clone the default branch

* clean workspace for docs repo

* use the conf.py imported by https://github.com/PaddlePaddle/docs/pull/4222/

* download and install the boscmd

* Optimaze the code comments.

* specify the pypi index server

* only do doc-build when running in cpu mode

* pull docs pr

git log

paddle_pr_info

* install jq

* force using sphinx-build under py3.7

* using our new domain name for preview

* install python package error

* don't build doc default

* Added cuBlasLtHandle_t to device context.

* Added fused_gemm_epilogue op.

1. Added fused_gemm_epilogue op to leverage cuBlastLt Epilogue.
2. Support fusion Act(X*Y + bias), X'dims >=2 and Y'dims shoule be 2.
2. Act currently only be supported ReLU. (Will add GeLU in the future).

* Added UT to fused_gemm_epilogue op.

* Added LinearAct Pattern

1. Added LinearAct into graph_pattern_detector.* to define (2.)'s
pattern.
2. LinearAct is used to detect act(element_add(matmul_v2(x, w), bias)).
3. act currently only support ReLU (Will support GeLU in the future).

* Added FuseGemmEpiloguePass

1, Added FuseGemmEpiloguePass to handle nn.Linear + Act{ReLU}
fusion (GeLU will be supported in the future).
2. Only support matmul_v2 from nn.Linear.

* Added pybind to BuildStrageter.fuse_gemm_epilogue_.

* Added UT for fuse_gemm_epilogue_pass.

* GeLU support and EpilogueSingleton

1. Added GeLU support to fused_gemm_epilogue op.
2. Added EpilogueSingleton to cache auxiliary pointer.
3. Added related UTs.

* Rename cublaslt_epilogue_opto gemm_epilogue_op.*.

* Added both train and infer pattern to LinearAct.

1. Added support of fwd graph with grap_ops linking to LinearAct.
2. Added related changes to fuse_gemm_epilogue_pass for above
modification.

* Changed CUDA requirement from 11.4 to 11.6 for fuse_gemm_epilogue_pass.

* Added identity activation support to gemm_epilogue_op.

* Added Linear Fusion (matmul_v2 + ele_add)

1. Added matmul_v2 + ele_add pattern to LinearActPattern.
2. Added matmul_v2 + ele_add support to fuse_gemm_epilogue_pass.

* Rename gemm_epilogue_op.* to fused_gemm_epilogue_op.*

* Add fused_gemm_epilogue_grad op.

1. Added fused_gemm_epilogue_grad to support backward epilogue fusion.

* Add UTs to fused_gemm_epilogue_grad_op.

* Change attribute name in fused_gemm_epilogue_grad_op for clearing.

* Allow DX and DBias be dispensable to fused_gemm_epilogue_grad op.

* Added ElementwiseAdd+Matmul+Act graph pattern detection.

* Fuse backward of Linear( Act(x))

1. Added backward fusion pass to Linear( Act(x)).
2. Added backward fusion pass to Linear(x).

* Added UTs to backward fusion of Linear(Act(x)).

* Complete document of arguments to fused_gemm_epilogue_op.

* Made arguments of some functions pass by reference.

* Modify code with review comments.

1. Made arguments of some function pass by reference.
2. Removed redundant code.
3. Followed Google code style to change code.

* Made 'const' code style be consistent

* Fixed random seed of python UTs.

* Set Compiling constrains to cuBlasLt

1. Require CUDA 11.6+
2. Remove fuse_gemm_epilogue related tests when CUDA < 11.6.

* Code Reivew from Paddle

1. Changed arguments name is_first_gemm to without_x_gradient for
clearing.
2. Applied PADDLE_THROW in fused_gemm_epilogue_op.

* Remove EpilogueSingleton

1. Applied ReserveSpace to replace Epilogue for passing auxiliary
pointers between FWD and BWD.

* Fix a logical error and enhance UTs.

1. Added act op count checking in UTs.
2. Fix issue to fuse backward or ReLU(Linear(X)).
3. TODO: solve GELU fusion issues.

* Fix Linear and GeLU fusion issues.

1. Modified graph_detech_pattern to fit with both linear wiht gelu or
relu.
2. Modified data range in Uts to allow negative values.

* Removed fused_gemm_epilogue_op.h.

* Rename namespace pten to phi.

* Rename name of arguments in fused_gemm_epilogue_op

1. bias -> Bias.
2. out -> Out.
3. reserve_space -> ReserveSpace.

* Change EpiloguePassActivationCache as local variable.

1. Removed singleton in EpiloguePassActivationCache.
2. Made EpiloguePassActivationCache as an argument to each pass
functions.

* mlir attr types for infrt place, test=develop

* fix a bug, test=develop

* update dockerfile for ipu

* update comments, test=document_fix

* support phi checking in CI op benchmark

* add sparse/gpu

* remove h file in cpu directory

* remove

* pass

* more pass

* add check for using HostAlloc

* add check for using HostAlloc

* unify register macro

* rename declare macro

* fix infrt error

* rename pten dir to phi

* rename namespace to phi

* rename infrt pten dir to phi

* resolve conflict

* rename pten to phi in cmake

* revert all infrt change

* change needed files

* fix infrt failed

* fix inference failed

* the mlir representation of pten, test=develop

* fixes an error, test=develop

* infrt registers pten kernels
Co-authored-by: NShixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

* update kunlun label_smooth unitest
*test=kunlun

* minor
*test=kunlun

* update generate_pd_op_dialect_from_paddle_op_maker.py

* update mlir tensor load interface

* refine

* fix bug

* fix

* refine

* fix

* 3

* fix

* codestyle
Co-authored-by: weishengying <1343838695@qq.com>

* change ci using mutable_data() check's directions from paddle/pten to paddle/pten/kernels

* change echo info from paddle/pten to paddle/pten/kernels

* fix kunlun2 softmax unitest bug
*test=kunlun

* minor