* clear extra attr of scale in opmaker

* fix sum bug

* fix merge conflict

* fix minus

* add reduce_mean,reduce_sum primitive ops
* add ne_p gt_p primitive operators
* add ge_p abs_p primitive oparators
* add cast primitive operators
* add pow,square prim2oirg rules
* add elementwise_div orig2prim rule

* refine PADDLE_WITH_MKLDNN code

* fix data_norm_op

* polish addmm_op

* - mul & matmul changes

- fix

- bs16 correction of strides

* - cosmetic fixes

* - lint

* - fix

* - fix

* - format -> mem_desc

* - fix

* - fix

* - fix

* - fix

* - fix

* clear extra attrs of elementwise op in opmaker

* fix op_debug_string_test

* fix bug of grad_add

* fix sort of runtime attrs

Support 0 shapes input Tensor for MKL slice kernel

* 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

* [CodeStyle] trim trailing whitespace in .md and .rst

* empty commit, test=document_fix

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

* fix distributed_fused_lamb nan

* remove CUDA_ASSERT

* add reduce_mean,reduce_sum primitive ops

* add ne_p gt_p primitive operators

* add ge_p abs_p primitive oparators

* clear extra attr of activation op in opmaker

* fix syntax bug

* fix mkldnn kernel

* fix merge conflict

* fix bug

* make memcpy op to support custom device

* fix bug

* add operator<< for BuildStrategy

* add fake_coalesce

* fit allreduce mode for new_exe

* remove dubeg code

* follow comments

* migrate load kernel

* remove load op

* fix test failed

* [CustomDevice] add dy2static support

* update

* add fusion dir and fuse_softmax_mask kernel

* remove fusion kernel dir

* migrate infershape

* fix code errror

* 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 gemm_epilogue

* xpu-paddlepaddle-40 [任务] fused_gemm_epilogue 支持 test=kunlun

* stop pass filter int32/int16/int64/bool inputs in cond_op

* fix bugs: except block 0, the backward vars and forward vars exist in different blocks.

* fix code by review

* 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

* Construct exec and ctx only once in cond op to speed up

* Fix construct function error

* 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