* 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

* - Prototype of third solution

- fix

- compilation fixes

- fix

- fixe

- fix

- fix

- compilation fix

- comment fix

- lint

update mkldnn conv_elementwise_add_fuse_pass ut

- NHWC changes to prelu

- alhpa dims

- UT fix

- fix to UT

- lint

- Some fixes

- added to BWD of prelu NHWC support

- reverted removal of resetting cu_layout in clearing of caching

* - Small changes

* - compilation fix

* - fix

* - fix

* lint

* - fixes after internal review

* - compilation fix

* - lint

* shard_id

* format

[phi] Transfer lgamma, kldiv_loss, isclose, cumprod kernels into phi and pass the tests of these four kernels (#39770)

* tranfer and pass the lgamma unittest

* merge and pass the test

* transfer kldiv_loss and kldiv_loss_grad; pass the unitest

* trafer the isclose and cumprod kernel

* change PT_REGISTER -> PD_REGISTER

* fix by code review

* fix by code review

* fix

* remove enforce include dependence from scalar

* fix

* fix by code review

* fix by code review

* add reduce_min kernel

* remove raw reduce_min kernel

* add reduce min

* add reduce any all impl

* add bool reduce Kernel

* remove raw any/all kernel

* add any all kernel

* rm comment

* Added more signposts to dygraph profiling

* Fixed minor issues

* Refactored signpost names

* Fixed typo

* Removed debug codes

* Fixed typo

* Adjusted signpost names

* Fixed issues from branch merge

* move one hot to phi; test=develop

* fix bugs; test=develop

* fix bugs; test=develop

* add infer meta; test=develop

* fix bugs; test=develop

* resolve confilct

* resolve confilct

* fix bug;

* fix error; test=develop

* update; test=develop

* polish code; test=develop

* add one api in eager mode; test=develop

* add one hot test; test=develop

* remove use less code; test=develop

* fix bug; test=develop

* polish code; test=develop

* polish code; test=develop

* skip infrt when checking log fatal, test=document_fix

* remove test=document_fix

* update commit

* [Auto Parallel] Redesign the tunner for Auto Parallel

* 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 ci

* rm retry tests

* format

* restore retry tests

* update timeout for ipu uts

* refactor reducer

* modify cmakelists

* solve conflicts

* rename group and update process_group

* fix bugs of ProcessGroupNCCL

* modify for CIs

* refactoring reducer

* change the exception of getitem from pybind type to PADDLE_ENFORCE

* fix bug

* remove pybind::index_error exception

* first commit

* fix

* fix

* fix compile eeror

* fix

* fix complex

* fix

* fix

* fix npu

* fix

* modify accroding to comments

* fix

* Add diag grad kernel

* fix unittest case

* add float16, remove const &

* delete diag_grad in op_utils.h

* move set_value_grad kernel form fluid to phi

* add unittest for passing coverage ci

* Add elementwise add and activation fuse pass

* Fix copy ellision

* More flexible pattern detector

* More flexible fusion pass

* Update lists for pass

* Add support for Pow operator

* Add support for more activation types

* Style

* Rename fusion pass

* First version of tests

* Dirty version of pass

* Polished version

* Update pbtxt

* Style

* Update names

* Style

* Use PADDLE_ENFORCE_EQ

* Save error message to variable

* WO for error checks

* CR

* Static style check

* Add missing 'activation_scale' attribute

* Add relu6 and sigmoid activations

* Style

* Fix fuse list formating

* Sync filenames for fuse pass files

* Fix cmake after move

* Fix registration

* Fix pass name in tests

* Add missing activations to checker

* WIPS

* Working mul op

* Working sub

* Working Add

* Remove pten includes

* Remove some forward declarations

* Remove Includes

* Fixes

* Remove default kernels

* Add check if post_ops attributes are avaliable

* Style

* Code adjustment

* Register default kernels

* We have year 2022 not 2021...
Co-authored-by: Njakpiase <jakpia21@gmail.com>
Co-authored-by: NSylwester Fraczek <sylwester.fraczek@intel.com>

* Fast review fixes
Co-authored-by: Njakpiase <jakpia21@gmail.com>
Co-authored-by: NSylwester Fraczek <sylwester.fraczek@intel.com>

* Review Fix

* Rename one_dnn -> onednn

* Style after review

* Fast and dirty fix for quantization

* Update tests

* Style

* Fix mkldnn_quantizer config

* Add Joanna's suggestion.

* Check if operator is explicitly disables on OneDNN

* Try to use unregistered attributes

* Style

* Test new framework

* FXI

* FXII

* Update test

* Style
Co-authored-by: Njakpiase <jakpia21@gmail.com>
Co-authored-by: NSylwester Fraczek <sylwester.fraczek@intel.com>

* optimize backwad

* optimize group_norm backward

* Add vectorized code

* move assignment code

* merge function

* move code

* optimize code

* Modify function name