* first commit

* clarify the quotes

* change code style format

* support bfloat16

* Sum kernel migrated to phi

* Static cast added, file name changed

* OneDNNGetDataType to uppercase

* refactoring

* AddOneDNNHandler changed to SumOneDNNHandler

* clear extra attrs of look_up_table_v2 in opmaker

* fix bug

* Convert slice+grad oneDNN fluid kernels to PHI

* Change mutable_data to Alloc

* Refactor licences

* gaussian random

* mkldnn to onednn renaming

* fix merge conflicts

* remove fluid code

* onednn renaming

* gelu fwd

* sort activations

* gelu gradient

* remove unused macros

* merge conflicts

* fix merge conflicts

* remove extra contraint from gelu op

* remove invoke yaml

* fix ci bugs

* fix sub sign reverse for mkldnn

* refactor code as comment

* remove useless

* format code

* Optimize topk's performance when k is small and input_width is large

* 修改blockdim设置逻辑

* Update top_k_function_cuda.h

* fix sum bug

* fix ci bugs

* fix ci bugs

* update code according comment

* first commit

* clarify the quotes

* change code style format

* rerun for ci

* add fp16 support

* update

* update half

* code format

* fix unittest

* fix rocm compile error

* code format

* code format

* fix rocm compile error

* fix rocm compile error

This reverts commit e8de9dfd.

* use cinn in the paddle inference

* fix some cmake errors

* Avoid division by zero in the arange_kernel.

* Avoid dynamic ops.

* Remove some useless codes.

* Use OpTransInfo to encapsulate some codes used in the build_cinn_pass.

* sort out index

* for add_bias

* migrate sigmoid with cross entropy, and tile xpu kernels to phi, test=kunlun

* migrate add_n kernep to phi, test=kunlun

[PHI] Migrate concat+grad, expand+grad, fill_constant, nearest_interp and bilinear_interp oneDNN kernels (#45863)

* Migrate concat+grad, expand+grad, fill_constant, nearest_interp_v2 and bilinear_interp_v2 oneDNN kernels to PHI

* Remove old namespace variable

* Fix invalid out dims error

* Add mutable_data method to concat output

* Add check for -1 dim before computing out_dims

* Capitalize oneDNNGetDataType function name

* Change fill_constant kernel to correct PHI kernel

* Attempt to fix dims error

* Fix fill_constant (full) kernel

* optimize adaptive_pooling_op (forward)

* fix bug of AdaptiveKernelMaxPool2dWithIdx

* fix bug of AdaptiveKernelPool2D

* init

* remove softmaxop

* merge dev

* correct dir

* style

* Convert split, pad and pad3d kernels

* Convert slice+grad oneDNN fluid kernels to PHI

* change out->mutable_data to dev_ctx.Alloc

* First approach

* Shape kernel corrected

* Compilation error fixed

* Resize corrected

* Registered types added

* Mistake corrected & types added

* sum kernel deleted

* move_merge_selected_rows

* update code

* fix linspace error in amp

* fix log

* fix amp error

* Revert "Simplify size op impl (#45808)"

This reverts commit c252b1de.

* fix_seg

* fix detection
Co-authored-by: NChen Weihang <sunny_cwh@163.com>

* add amp yaml

* fix ci bugs

* fix linspace error in amp

* fix log

* fix amp error

* fix ocr error which caused by amp

* add more check

* rename dtype ns

* polish code comments

* polish data_device_transform.cc

* sparse infer_meta

* clear extra attr of some ops in opmaker

* revert clear use_cudnn for pool

* fix test_operator_desc

* fix Attr interface of OperatorBase