* 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

* mv to phi

* refine infermeta code position

* refine grad code

* add api yaml and add final_state_api

* refine code

* move standard apis to api.yaml

* revert erfinv

* delete dot_op.h

* fix dot

* rerun ci

* update api in creation and search.py

* Update creation.py

* Update search.py

* Update search.py

* for ci;test=document_fix

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

* Optimize prod's python implementation for dygraph.

* Change key_dim to head_dim.

* Add comment in unittest.

* Disable TF32 in unittest.

* 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

* Replace np.bool/np.bool8 with np.bool_

* Replace np.object with np.object_

* Replace np.complex with np.complex128

* Replace np.float with np.float64

* Replace np.int with np.int_

* Rerun pre-commit for newer pre-commit configuration

* Use builtin bool instead of np.bool_ based on the context

* calculate_gain; test=document_fix

* Constant; test=document_fix

* KaimingNormal; test=document_fix

* KaimingUniform; test=document_fix

* randint; test=document_fix

* squeeze;test=document_fix

* argmin; test=document_fix

* argmin; test=document_fix

* triu; test=document_fix

* add_n;test=document_fix

* unique; test=document_fix

* topk; test=document_fix

* squeeze;test=document_fix

* randint;test=document_fix

* argmin; test=document_fix

* constant; test=document_fix

* constant; test=document_fix

* KaimingNormal; test=document_fix

* kaiming; test=document_fix

* unique; test=document_fix

* Update creation.py

* Update search.py

* Update search.py

* Update xavier.py

* Update xavier.py

* Update pooling.py

* Update pooling.py

* Update pooling.py

* Update search.py

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

* Update random.py

* test=document_fix

* test=document_fix

* Update random.py