* add paddle.bucketize api

add paddle.bucketize api

* updata paddle.bucketize code style.

* upgrade unittests/test_bucketize_api.py.

* update tests/unittests/test_bucketize_api.py file.

* 修改bucketize API 的英文参数描述

* phi_fill_diagonal

* remove old kernels

* update

* update attr args

* refix

* update

* fix dy2staic: cpu, cuda, assign([Var, Var, ])

* fix1

* fix2
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>

* 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 eigvalsh op

* move renorm op

* change python api

* change op class func

* alloc data

* remove comments

* fix grad arguments

* fix python argument

* fix python argument

* change unit-test

* remove shape func registration

* recover extra-arguments

* recover shape functor

* [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

* [Phi] Move Qr to the Phi

* [Phi] Regiter the cpu grad kernel for qr

* [Phi] Share the cuda kernels to lstsq

* [Phi] Remove some improper inlcude files

* [Phi] Modify codes based on the reviews

* [Phi] Remove unecessary files and add the cuda_only comment

* [Phi] Remove the unecessary include file

* [Phi] Remove qr_op.cu and lstsq_op.cu

* fix docs(en) bugs;test=document_fix

* update paddle.add docs;test=document_fix

* update paddle.where docs;test=document_fix

* for ci;test=document_fix

* Update manipulation.py

* update paddle.where;test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* 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>

* 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

* Add kernel declarations

* Copy kernel implementation code

* Transfer kernel implementation code

* Register new kernels

* Remove old kernels

* Add lu_unpack_sig

* Fix bugs

* Fix bugs

* Fix bugs

* Optimize directory structure

* Add output checks

* Update include files

* lu_impl.h->lu_kernel_impl.h

* Transfer infermeta

* Add yaml and update python api

* Add check_eager
Co-authored-by: NBobholamovic <linmanhui@baidu.com>

* migrate lstsq op

* update

* fix bugs for CIs

* update

* fix bugs

* add uts

* update

* update

* update

* fix bugs of jip

* fix bugs of hip

* update

* update according to review

* update

* update

* update

* update

* add count_nonzero api

* remove grad test

* 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>

* [Phi] Add yaml for assign_value

* [Phi] Fix the bug of the assign api and modify the unittest

* [Phi] Fix the bug when the tensor does not have the backend info

* [Phi] Replace the functional-style cast init by the brace-init

* [Phi] Cast the data explicitly

* Move api(lgamma) from legacy_api.yaml to api.yaml

* Move api(lgamma) from legacy_api.yaml to api.yaml

* Move api(lgamma) from legacy_api.yaml to api.yaml

* modify code style

* add x to X mapping

* add definition of lgamma

* delete redundant lgamma definitions

* Modify code comments

* Modify ops.py code format

* add lgamma  single test and lgamma api in fluid

* Optimized lgamma unittest

* 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 yaml and unittest for bmm op

* transfer the svd infer into phi infermeta

* remove the svd.h

* modify svd api

* fix svd error by insert optional

* Move slogdeterminant op to phi

* Add yaml and unit test for slogdeterminant

* move inverse from fluid to phi with unitest bug

* fix bug, add eager op yaml

* Replace with dygraph op calling method.

* fix bugs of random

* fix unittest error

* fix unittest bugs

* [Phi] migrate exponential kernel to phi

* fix comment

* fix CI

* migrate as_complex kernel to phi

* support as_complex and as_real in phi

* rm GetExpectedKernelType for AsRealOp

* Move angle op to phi

* Replace mutable_data using Alloc

* Remove some include

* Try to fix windows ci error

* include math.h to fix windows ci error

* Fix kernel name

* Move angle_grad infershape

* move eig operator from fluid to phi

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

* migrate solve kernel to phi

* re useless header file, fix a bug in grad_kernel_impl

* add header file in need

* add yaml for solve op

* fix solve_sig.cc ArgumentMapping and update tests case

* disable legacy dygraph check in op_test

* rm solve_op.cc / solve_sig.cc and migrate yaml config

* Update op_test.py

disable legacy dygraph check when check_eager is True

* Move eigvals OP to PHI

* Fix CI errors

* Fix CI errors