* transfer nll_loss infershape into phi

* transfer the infershape of accuracy op into phi

* add set_dtype

* add setdtype

* [phi] move matrix_power op

* MatrixInverse fluid -> phi

* modify the CMake to fix compile bug

* delete useless comment

* mutable memory -> phi Alloc

* modify the include file

* modify the include file

* fix bug in CI compiler

* [PHI] Migrate where_index op

* [PHI] Fix where_index infermate

* [Phi] set where_index out data type

* add selected row op and fix bug in ctest

* modify the date

* fix bug in npu and xpu

* modfiy the include file

* first commit

* cpu kernel

* first version

* fix compile error

* fix compile error

* delete v2

* fix

* fix

* add alias

* fix

* fix

* fix

* fix error

* fix

* fix

* fix

* fix format

* move segment_pool to phi.

* mark summed ids as optional tensor.

* fix as reviews.

* add the infer shape meta for the graph_send_recv

* move the infershape code to another file

* move argsort to phi

* refine files

* remove mutable_data

* fix unittest

* fix unittest

* remove infershape

* update infershape

* fix ci

* fix ci

* fix ci

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* move arg min max to phi.

* move infermeta.

* fix as reviews.

* move dropout to phi; test=develop

* fix xpu, npu compile error; test=develop

* move viterbi to phi

* move infershape to phi

* update infershape

* fix

* resolve conflicts

* save code

* fix bug of set_value

* add coverage test

* support code auto-gene for sparse backward api

* fix bug of intermediate api and name of return var

* migrate eigh to phi

* optimize code

* modify code according to comment

* conflict resolution

* fix the full_like with fill the value of inf

* update the test case for the fill_any_like

* updae the comments for the full_like

* Add wait after Copy
* fix wrong place delete

Sparse conv3d backward(gpu)

* transfer the nll_loss_op and pass the CI

* push

* fix by self-review

* fix by cr

* add nll_loss

* fix code

* [Phi] Migrate linspace op

* [Phi] Migrate linspace op

* [Phi] Fix linspace op

* [PHI] rename data_tranform to data_type_transform

* [PHI] Fix DECLARE and PD

* add reduce_max kernel

* add reduce max kernel

* update reduce max Argumentmapping

* remove reduce_max kernel

* remove reduce_max kernel

* add reduce max infermeta

* rename reduce infermeta

* fix take_along_axis cuda op register bug

* add comma after float
Co-authored-by: NChen Weihang <chenwhpro@163.com>

* remove gpudnn suffix & polish cmake

* fix typo

* [Phi] move put_along_axis/take_along_axis/maxout

* use phi::Copy

* move matrix inverse into phi

* change license year

[Phi]Move Relu/Cos/Sin/Tan/Acos/Asin/Atan/Sinh/Cosh/Asinh/Acosh/Atanh kernels in Activation to Phi (#40175)

* 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

* transfer accuracy op and pass the ci

* remove header file

* fix code

* fix code

* fix

* fix

* support isfinite for phi

* mark v2

* fixed bugs

* fixed include bugs

* deal with comments

* decoupling selected_rows

* rm bfloat16

* fixed infermeta

* fixed code style

* rm useless code

* replace pt by pd

* [custom kernel]Upgade support for multi libs

* upgrade phi_custom_kernel deps

* [Phi] transfer old kernel to pten kernel for the graph_send_recv op

* update the code for the define of graph_send_recv

* fix the gradient problem for graph_send_recv

* fix the compile problem

* update the enfore message for the windows

* update the code for the compiler

* update compiler problem for the windows

* udpate the code for windows

* fix some format problem

* [Phi] move InferShape for truncated_gaussian_random and gaussian_random

* [Phi] delete useless codes

* move infershapes to phi

* update code format

* update code format

* move bincount OP to phi

* fix dtype

* set_dtype by weights or x

* fix conflicts

* 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.