* Refactor elementwise op grad classes

* Add more refactor changes

* Revert set layout and format deletion

* Fix failing elementwise test

* Quantize elementwise mul op

* Parametrize elementwise functions

* Fix code formatting

* Modify save_quant_model.py to support differnet input and output filenames

* Correct wrong order of arguments

* Fix tile_op inferShape

* fix style

* align to cn docs

* add parameter `weight_decay`

restructure conv

* move roi_align_grad kernel

* move roi_align grad kernel and infershape to phi

* remove roi_align infershape

* [PHI] Migrate roll op

* 【phi】migrate eigh op to phi (#40213)

* migrate eigh to phi

* optimize code

* modify code according to comment

* conflict resolution

* [PHI] Migrate roll op

* [PHI] Fix converage of roll_sig

* [PHI] Fix infermate of roll_sig

* [Phi] Fix unittest coverage of roll op

* [PHI] Fix infermeta in unary

* [PHI] Fix parameter type of roll op

* [PHI] Fix parameter type of roll op

* [PHI] Fix parameter of roll op
Co-authored-by: Ncrystal <62974595+Zjq9409@users.noreply.github.com>

* [PHI] Migrate index_select op

* [PHI] Fix bug in test_variable

* [PHI] migrate index_select op

* [kp]fix bug that cannot fallback to CPU normally in XPU KP

* fix bug in static graph

* migrate multiplex op kernel

* migrate qr cpu kernel

* migrate tril_triu op kernel

* fix multiplex kernel

* add kernel sig

* fix dependence and bug

* fix multiplex error

* fix npu include error

* fix conflict

* fix conflict and delete tril_triu

* fix date and multiplex input

* adapt header file order

* fix header file include

* fix conflict

* delete cholesky_solve_op.h

* delete triangular_solve_op.h

* move reduce kernels into one file

* rename reduce_prod to prod

* move reduce sum/mean from math_kernel into reduce_kernel

* rm comment

* add grid sample phi kernel

* add grid sample phi kernel and remove original kernel

* replace mutable_data by alloc

* [Auto Parallel] Support the auto completion of while_op

* [Auto Parallel] Improve the completion algorithms

* [Auto Parallel] Fix bugs for ernie inference

* [Auto Parallel] Remove attrs which cannot be pickled

* [Auto Parallel] make the dims_mappings of LodTensorArray vars empty

* [Auto Parallel] Fix bugs for the ernie inference in the pipeline parallel

* [Auto Parallel] Remove unncessary comments

* [Auto Parallel] Fix a bug of the CMakeLists

* [Auto Parallel] Use the newest APIs to write the unit test

* [Auto Parallel] Remove unnecessary statements

* change some symbol names

* add test

* add phi to opt.cc

* clean code

* up

* update

* up

* up

* Update pten_pass.mlir

* Update convolution_grad_kernel.cc

* update

* restore init_infrt_dialects

* restore

* up

* up

* up
Co-authored-by: NSuperjomn <yanchunwei@outlook.com>

* add determinant phi kernel

* remove original determinant op kernel

* add determinant grad [hi kernel

* fix determinant test failed

* remove original determinant grad op kernel

* add some op for full_quantization

* [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]modify the shape OP and move inferMeta of shape,matrix_pow,multi_dot

* delete useless comment

* fix bug in CI

* modify after review

* add expert count op

add ut for expert_count

* update UT only for cuda

* fix for rocm

* update ut

* add moe module

* add expert count op

add ut for expert_count

* update UT only for cuda

* update ut

* add moe module

* make expert count private

* rename expert count op
Co-authored-by: Nhlygit66666 <2570058140@qq.com>

* run python api in eager model and filter the out in argument list

* fix code

* Fixed issues with generated scale operator

* Fixed minor issues

* formatted.

* Remove dead code.

* Fix error message in the unit test.

* polish formats.

* [Einsum] fix bugs.

* [NPU] add AMP O1 support

* [NPU] fix NOTE and warnings

Add the recorder

* add phi gather kernel

* update year

* remove original gather opkernel

* add gather grad phi kernels

* remove origin gather grad kernel

* fix failed npu and xpu

* fix xpu compile failed