[cherry-pick] [PHI] Migrate concat+grad, expand+grad, fill_constant … oneDNN kernels (#45863) (#46727)

* [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

* update dependencies
Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* [PHI] Migrate sgd and stack oneDNN kernels (#46374)

* Convert slice+grad oneDNN fluid kernels to PHI

* Change mutable_data to Alloc

* Refactor licences

* update dependencies
Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* Convert split, pad and pad3d kernels

* Convert slice+grad oneDNN fluid kernels to PHI

* change out->mutable_data to dev_ctx.Alloc
Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* init

* remove softmaxop

* merge dev

* correct dir

* style

* First approach

* Shape kernel corrected

* Compilation error fixed

* Resize corrected

* Registered types added

* Mistake corrected & types added

* sum kernel deleted
Co-authored-by: NPaulina Gacek <paulina.gacek.pl@gmail.com>

* set flag of clip_extra in save_inference_model to true (#46151)

* open the clip_extra flag in paddle.static.save_inference_model, test=allcase (#46456)

* Open the clip_extra flag in TracedLayer.save_inference_model (#46473)

* open the clip_extra flag in paddle.static.save_inference_model, test=allcase

* set the defalut value of clip_extra in TracedLayer from False to True, test=allcase

* update english doc of paddle.static.save_inference_model, test=document_fix (#46484)

* Fix clip_extra logic in remove_training_info (#46534)

* fix clip_extra code in remove_training_info

* revert rnn opmaker clear

[cherry-pick] Clear extra attrs of some ops in OpMaker (#46150, #46321, #46418, #46451, #46457) (#46553)

* Clear extra attributes of some Op in OpMaker (Part4) (#46060)

* clear extra attr of some ops in opmaker

* revert clear use_cudnn for pool

* fix test_operator_desc

* fix Attr interface of OperatorBase

* clear extra attrs of condition op in opmaker (#46150)

* Clear extra attrs of lookup_table_v2 in OpMaker (#46321)

* clear extra attrs of look_up_table_v2 in opmaker

* fix bug

* clear extra attrs of quantize op in opmaker (#46418)

* delete repeated item

* clear extra attrs of distribute op in opmaker (#46451)

* clear extra atts of sequence_softmax in opmaker (#46457)

* Clear extra attrs of elementwise op in OpMaker (#45845)

* clear extra attrs of elementwise op in opmaker

* fix op_debug_string_test

* fix bug of grad_add

* fix sort of runtime attrs

* Clear extra attrs of scale in OpMaker (#45984)

* clear extra attr of scale in opmaker

* fix sum bug

* fix merge conflict

* fix minus

* Clear extra attributes of some Op in OpMaker (Part4) (#46060)

* clear extra attr of some ops in opmaker

* revert clear use_cudnn for pool

* fix test_operator_desc

* fix Attr interface of OperatorBase

* fix code stype

* fix sub sign reverse for mkldnn

* refactor code as comment

* remove useless

* [BugFix]Fix reduce_mean/min/sum/prod, cumsum grad_op infershape bug

* fix typo

* fix typo

* fix bugs of mp

* fix bugs of mp

* update

* update

* fix bug

* polish code comments

* polish data_device_transform.cc

* fix wrong eigen header include

* fix complie bug

* fix nan_inf_utils_detail

* fix resource_manager

* fix conv_miopen_helper

* [cherry-pick] extend reduce_sum,reduce_sum,eq,ne,ge,abs,pow,etc higher order operators

* 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

* [cherry-pick] add mean,sum,ge,gt,ne,abs,etc higher-order differentiation operators(#45888)

* add reduce_mean,reduce_sum primitive ops

* add ne_p gt_p primitive operators

* add ge_p abs_p primitive oparators

* [PHI] Support bmm and bmm_grad in xpu (#45887)

* 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

* test=kunlun

Co-authored-by: NRichardWooSJTU <37864677+RichardWooSJTU@users.noreply.github.com>

* normalize yaml file name (#45894)

* Clear extra attributes of activation op in OpMaker (#45772)

* clear extra attr of activation op in opmaker

* fix syntax bug

* fix mkldnn kernel

* fix merge conflict

* fix bug

* [PHI] Normalize yaml op label (#45976)

* normalize yaml op label

* revert op_compat yaml change

* fix prelu and rnn compat problem

* replace api by op

* support assign op backward refuse forward (#45879)

* normize yaml backward op label (#46028)
Co-authored-by: Nzyfncg <zhangyunfei07@baidu.com>
Co-authored-by: NCharles-hit <56987902+Charles-hit@users.noreply.github.com>

Support 0 shapes input Tensor for MKL slice kernel

* [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

* clear extra attrs of reduce op in opmaker

* fix reduce_mean