* move fft kernels to phi, done with cufft, pocketfft, mkl_cdft, hipfft
* make stft_op use fft from phi/kernels/funcs, clean code

* fix conflicts

* mv unused file

* revert backward.h

* revert lu_unpack kernel

* rm .cu file

* Update lu_unpack_kernel.cc

* format phi yaml

* phi_fill_diagonal

* remove old kernels

* update

* update attr args

* refix

* update

* save change

* save change by YSL

* save change by YSL

* change by YSL

* test pre commit

* Revert "test pre commit"

This reverts commit eee5e116331186cc544de871b4a5174a6431f17c.

* fix code style

* fix ctest

* temp save

* save change

* change by YSL

* final change by ysl

* fix ci

* fix code style

* delete unuse code

* change by ysl

* move repeat interleave

* fix api name

* recover op registration

* fix arguments order

* fix

* fix infermeta

* fix infermeta

* fix header

* fix infermeta

* fix

* fix

* fix dtype

* log&test

* test

* remove logs

* fix

* remove logs

* combine files

* combine

* combine files

* fix cuda place

* mv kernel

* mv infershape

* mv yaml

* update some

* maintain decoe_jpeg in old dygraph

* fix as review

* rm decode_jpeg_op.cu

* update for rocm

* mv eigvalsh op

* [Eager] call final_state_slice under eager mode

* rm useless comments

* use eager final state instead intermidiate state

* update fill_constant yaml

* update fill_constant yaml

* modify wrapped_infermeta_gen logic to fix special case

* fix slice in manipulation

* use fill_constant_

* modify slice infermeta

* rm final_state_conv2d

* use final_state_slice

* use final_state_slice only

* polish slice, use final state

* add paddle_throw for SplitInferMeta

* rm fill_constant_ temply

* recover array_equal, not allclose

* recover original code

* update unstack_op

* update unstack_op

* update unstack_op

* fix unstack test

* update unstack

* update with remote

* fix unstack_test.py

* temp_save_change_nms_op

* add nms test

* update nms fix

* update unstack_op

* temp save change

* finish fix nms_op

* pass nms test

* fix CI

* fix ops test

* save change

* fix code style

* fix code style

* fix ci and codestyle

* fix ci
Co-authored-by: NShiningZhang <zhang_liang1991@126.com>

* update code format

* add ymal and test

* update for comments

* Add kernel declarations

* Copy kernel implementation code

* Transfer implementation code

* Register new kernels

* Remove old kernels

* Fix code style

* Fix bugs

* mutable_data->HostAlloc

* Transfer infermeta

* Add yaml and update python api

* Add PADDLE_WITH_HIP check

* Update unittests

* Fix bugs

* Fix bugs

* Optimize directory structure

* Add output checks

* lu_impl.h->lu_kernel_impl.h
Co-authored-by: NBobholamovic <linmanhui@baidu.com>

* migrate dirichlet op kernel to phi

* fix dirichlet sample memory leak

* Move frame OP to phi、add frame OP yaml config and supplement single test

* add Header file of in_dygraph_mode

* Modify variable name and FrameGradInferMeta multiplex UnchangedInferMeta

* move seq2col to phi

* move crop_tensor from fluid to phi

* delete fluid header files

* fix crop_tensor_op dygraph_mode bug

* modify header files, add out tensor check

* add reverse yaml

* transfer the svd infer into phi infermeta

* remove the svd.h

* modify svd api

* fix svd error by insert optional

* move inverse from fluid to phi with unitest bug

* fix bug, add eager op yaml

* seperate xshape kernel from normal kernel

* fix bugs in infermeta

* fix compile bugs

* fix compile bugs

* move diag_embed to phi.

* migrate as_complex kernel to phi

* support as_complex and as_real in phi

* rm GetExpectedKernelType for AsRealOp

* move eig operator from fluid to phi

* add eig_grad unitest, upgrade IsComplexType() from fluid to phi

* draft version

* draft version

* draft version

* migrate solve kernel to phi

* polish

* polish

* re useless header file, fix a bug in grad_kernel_impl

* add header file in need

* transfer as_real to phi

* fix erros

* blocking: True -> False

* Move eigvals OP to PHI

* Fix CI errors

* Fix CI errors

* feat(): dynamic_to_static support for ipu.

* fix(): format fix.

* fix format

* fix cpplint error

* use phi::errors

* fix format

* fix format

* fix(): add api to restore patched function.

* fix(): identity_loss uses cpu place as expected kernel type.

* doc(): add IPU dy2static related docs.

* fix(): combine test cases.

* fix format

* fix comment

* fix format

* apply comment

* fix compiling

* fix(): align docs.

* fix(): fix identity_loss function docs.

* fix(): adjust mean and sum in identity_loss.

* fix(): minor docs.

* move API to paddle.incubate.identity_loss

* fix UT
Co-authored-by: Nzhaorui chen <zhaoruic@graphcore.ai>

* change logic for optimize

* modifty

* optimize the backward speed of EinsumOp

* add cache optimizer for einsum op

* EinsumOp: fix new dygraph mode error

* fix bug

* change Cache->InnerCache

* fix code

* fix

* add nan inf utils for einsum op

* add as_extra

* memory optimizer for einsum

* update code

* rrelu逻辑部分

* unregistered op kernel (unresolved)

* commit before merge

* 丰富测试用例

* 修复rrelu-sig的bug

* 修复cpu环境测试

* 修改拼写错误

* 修改code format

* 尝试优化测试用例timeout的问题

* 优化测试用例

* 移除seed, 优化随机函数

* update en doc for rrelu

* fix rrelu en docs, test=document_fix

* add paper link for en docs, test=document_fix

* udpate en doc

* add r,test=document_fix

* nanmedian op

* 修改cuda kernel的bug

* 修复count_if在其他硬件平台不兼容

* 修复某些cpu硬件不兼容

* 修复某些cpu硬件不兼容

* 修复isnan判断

* 兼容numpy低版本不支持全部nan的情况

* 兼容numpy低版本不支持全部nan的情况

* fix code example

* fix api comment error

* 修改反向传播逻辑以及c++处理逻辑

* 完成修改建议

* typo pre_dim

* update en docs, test=document_fix

* remove numpy in en doc, test=document_fix

* add r,test=document_fix

* 添加api到all

* follow advice from chenwhql

* change logic for optimize

* modifty

* optimize the backward speed of EinsumOp

* add cache optimizer for einsum op

* EinsumOp: fix new dygraph mode error

* fix bug

* change Cache->InnerCache

* fix code

* fix

* add nan inf utils for einsum op

* add as_extra

* Compatible with v2.3 EinsumOp

* remove dispensable

* add intermediate for some api

* fix bug

* fix fluid.layer

* Extend python einsum interface to make einsum_v2 support multi-operands and switch it to default.

* add opt_einsum dependence

* add yaml and support eager model

* fix by code review

* opt attr eaque perf

* opt attr select code

* fix one hot infermeta

* polish get attr impl

* fix tests failed

* add testcases