* fix wrong eigen header include

* fix complie bug

* fix nan_inf_utils_detail

* fix resource_manager

* fix conv_miopen_helper

* move sum

* fix ci bugs

* fix ci bugs

* fix set_lod bugs

* fix infershape bugs

* fix ci bugs

* fix ci unittest bug

* fix ci bugs

* perfect code

* update code according comment

* add unittest

* fix ci bugs

This reverts commit c252b1de.

* fix return order error and duplicate results with specific inputs

* first commit

* refine code with template argument

* refine code with template argument

* add ternary broadcast test file

* add ternary broadcast test file

* fix accoriding to ci

* fix op-benchmark ci error

* perfect softmax functor

* fix compile bugs

* fix ci bugs

* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result
is wrong.

* Fix some problems.
1. Change fluid head files to phi files.
2. Delete useless code.
3. Fix code style problems.

* Fix some code style problems.

* Fix some code style problems.

* support int64 non-broadcast

* support broadcast case for int64 index

* fix bug

* support more Arity

* remove some codes

* upgrade patchelf to v0.15.0 to pass CI build

* fix bug

* fix patchelf installation

* add debug flags

* remove useless codes

* fix viterbi_decode and set_value op uts

* remove always enable int64

* - mul & matmul changes

- fix

- bs16 correction of strides

* - cosmetic fixes

* - lint

* - fix

* - fix

* - format -> mem_desc

* - fix

* - fix

* - fix

* - fix

* - fix

Support 0 shapes input Tensor for MKL slice kernel

* first commit

* fix some bugs in code

* fix bugs

* to optimize merge one dimension feature

* support bmm and bmm_grad in xpu

* add error removal

* test=kunlun

* refactor code for better structure

* test=kunlun

* add fp16 kernel for bmm

* test=kunlun

Migrate scale and scatter to phi, and modify the code style for roi_align_kernel. test=kunlun (#45938)

* support bfloat16 for amp_decorate

* add check_finite for bf16

* fix bug

* add ut

* add ut

* refine code

* add softmax infer kernel

paddle::platform::CudaAtomicAdd
https://github.com/PaddlePaddle/Paddle/issues/45881

* fix softmax int64

* follow comments

* migrate load kernel

* remove load op

* fix test failed

* add fusion dir and fuse_softmax_mask kernel

* remove fusion kernel dir

* migrate infershape

* fix code errror

* modify slice infershape

* code style

* modify slice_unittest

* simplify size op

* trans to cuda manuly

* fix copy error

* gaussian random

* mkldnn to onednn renaming

* fix merge conflicts

* remove fluid code

* onednn renaming

* Move classes from mkldnn_reuse.h to onednn_reuse.h

* Migrate pool+grad, clip+grad and cast oneDNN kernels to PHI

* Refactor grad kernels into separate files

* Fix CI failures

* Fix Codestyle

* Implement reviewer suggestions

* Add new lines after includes for readability
Co-authored-by: NSilv3S <slawomir.siwek@intel.com>

* add save kernel

* add save_sr_kernel

* remove original save_op

* add save gpu kernel

* remove combine kernel

* add port.h include

* add save selected rows test

* remove useless kernel.h

* [XPU] update xdnn to 0906. test=kunlun

* [XPU] update xdnn to 0907. test=kunlun

* gaussian random

* mkldnn to onednn renaming

* fix merge conflicts

* Migrate reduce_op oneDNN kernels to phi

* Remove unnecessary header

* remove fluid code

* onednn renaming

* Change std::vector<int64_t> to IntArray

* Fix code style

* Move classes from mkldnn_reuse.h to onednn_reuse.h

* Move more functions from mkldnn_helper.h to onednn_helpper.h

* Change MKLDNN to OneDNN in VLOG message

* Implement reviewer suggestions
Co-authored-by: NSilv3S <slawomir.siwek@intel.com>

Adapt tensor output_size for conv2d_transpose and depthwise_conv2d_transpose

* first commit

* merged with develop

* merged with develop

* fix merge sequential one dims bugs