* optimize bias_add reluv2 in half2

* Add annotation

* refine code format

* cast to higher precision type to prevent fp16 diff problem

* fix bilinear backward and add more unittest case

* add validity check for config in yaml

* delete debug log

* fix wrong handler name

* mkldnn_engine -> onednn_engine

* remove fluid/errors.h imports

* remove fluid/enforce.h imports

* remove note and unnecessary import

* remove fluid/pretty_log.h imports

* remove fluid/place.h imports

* remove fluid/data_layout_transform.h imports

* remove fluid/device_context.h imports

* remove mkldnn_helper code

* remove fluid/mkldnn_reuse.h imports

* pretty_log import

* fix c++17-extensions warning on macos

* fix type

fix c++17-extensions warning on macos

fix c++17-extensions warning on macos

* First Commit.

* add some codes

* add elementwise loader

* fix code styles

* merge with develop

* add some changes both in elementwise and transpose

* add init operation in broadcast kernel.

* change codes according to pr suggestions about transpose file

* fix error for op-benchmark ci

* fix according to ci

* nullptr bugfix for XPU pg mode

Also a few kernels is added to xpu whitelist

* increase error msg length

* fix rmsprop_ yaml bug

* generate static graph code of some ops by yaml

* fix the code-style of yaml

* fix the framework_ci for triangular_solve

* change the 'data_type' of scatter

* add the 'out: Out' of scatter_nd_add

* add new tensor

* fix windows compile bugs

* fix ci bugs

* fix ci bugs

* fix ci bugs

* perfect according comment

* fix ci compile bugs

* add raw tensor

* fix ci bugs

* modify code by comment

* delete String

* replace dependency of inclusive_scan.h from phi

* format code

* fix codestyle

* add double complex<float> complex<double> dtype support for syevj_batched

* fix use_syevj flag for precision loss when input dtype of syevj_batch is complex128 in some case

* optimize eigh in different case

* fix missing ; bug

* fix use_syevj bug

* fix use_cusolver_syevj_batched flag

* OneDNN version of Copy, tranpose kernels adjusted

* style fixes in tranpose_grad

* redundant headers deleted

* move norm_utils.cu.h from fluid to phi

* remove norm_utils.h in fluid

* fix bugs and replace mutable_data with Alloc

* replace mutable_data with Alloc

* generate static graph code of some ops by yaml, test = develop

* fix 'take_along_axis' yaml style

* reset scatter/scatter_nd_add

* delete the comments of put_along_axis

* first commit.

* refine performance with fast_divmod

* refine performance with fast_divmod

* reshape

* typo

* remove header

This is a PR to catch up with latest xpu white list strategy
(https://github.com/PaddlePaddle/Paddle/pull/48606)
, since original list only include 'fluid' fashion names, but new list
must include 'phi' fashion as well.
Refer to paddle/phi/core/kernel_factory.cc for more details.

* add suppport_tensor for code_gen to static graph

* support code-gen for int_array

* polish code

* fix bug of data_type

* simplify SelectKernelOrThrowError function in phi

* opt kernel_selection process

* polish code, fix backend error

* move share_buffer kernel to phi

* fix ut

* add source file

* fix window links

Reenabled ext_reorder recording for TransDataLayoutFromOneDNN

* [XPU] add load op into oplist.

* remove test_sampling_id_op_xpu.py

* move cuda_graph from fluid to phi

* move device_memory_aligment from fluid to phi

* Revert "move device_memory_aligment from fluid to phi"

This reverts commit b92fcd39a0a50fdac13278f49be0237a85f3a13f.

* update xpu cmake

* remove bbox_util.h from phi

* add file bbox_util.h

* reframe bbox_util.h