* polish static grad op maker gen

* fix some bugs

* fix static code gen

* solve conflict

* modify composite grad maker name

* integrate phi and fluid info in static code gen

* rename some composite maker

* modify static code gen format

* add test for composite with dy2st

* add more log

* execute use kernel_key first

* change OpKernelType->KernelKey

* fix py3 compile error, remove redundant header files

* fix build_strategy_test

* fix DataType::RAW

* fix custom_type test: operator_test.cc

* fix transform place

* fix backends_are_same_class

* try fix place TransDataDevice

* support all KernelKey

* fix TransformData

* fix place_are_same_class

* fix merge

* fix test_params_no_grad

* fix specific place of GetExpectedKernelType

* fix specific place of GetExpectedKernelType

* fix GetKernelTypeForVar

* fix dtype error

* fix fetch_v2

* change GetKernelTypeForVar

* fix interpreter

* fix typo error

* polish codes

* polish codes

* polish codes

* fix conflict

* use dnn_fallback flag to delete mkldnn hardcode

* polish code style

* fix protected error

* fix const error

* fix reduce_op fallback

* fix pool_op fallback

* add Set function of dnn_fallback_

* namespace modify

* update by comment

* remove using lodtensor part1

* polish history code format

Co-authored-by: Nliupeiyu <liupeiyu@cambricon.com>

* remove needless using tensor

* remove needless using tensor

* resolve conflict

* replace tensor using

* fix format error

* revert needless changing

* fix rocm and npu compile error

* fix cinn compile error

* fix format error

* fix mkldnn format error

* fix mkldnn format error

* fix cinn compile error

* fix cinn compile error

* fix cinn compile error

* resolve conflict

* add phi reduce_sum test=kunlun

* add fhi reduce_sum test=kunlun

* add fhi reduce_sum test=kunlun

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

* fix typo

* fix typo

* 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>

* clear extra attrs of reduce op in opmaker

* fix reduce_mean

* [OpAttr]Adapt tensor axis for reduce_min/max/mean/sum/prod

fix missing keep_dim variable

    fix missing grad check in unittest

    add new test case

* add temporal shift and grad *test=kunlun

* fix reduce mean grad bug *test=kunlun

* remove cudaDeviceContext

* remove more template

* fix rocm compile

* remove alias name CUDADeviceContext

* fix compile

* fix tests

* revert changes

* Rename BOOST_GET macros

* Fix conflicts

* fix for binary kernels

* fixed performance for elementwise, reduce and concat

* added comment

* CI fix

* CI fix

* added formatting

* reverted one file

* Revert "reverted one file"

This reverts commit 54725e1c62318d3a18913821200e973816751019.

* Revert "added formatting"

This reverts commit b9795dd253d755a329376d7ab0542860aa7815c6.

* added enforcing oneDNN BF16 reduce kernel

* fix for eltwise and reenabled reshape kernels

* fix for binary handler

* added formatting

* referted changes for flatten,squeeze and reshape ops

* fix init()

* delete test_device_context

* replace CPUDeviceContext with CPUContext

* fix test_scalar

* remove dot_op.cc

* fix compile

* unify cpu context

* fix init()

* delete test_device_context

* fix test_scalar

* [CustomDevice]add custom place supports

* sync format

* fix arg_max and reduce_max

* add arg_max ut

OneDNN md-in-tensor refactoring part 5: Memory descriptor enabled for elementwises, reductions and expand_v2 ops (#43036)

* enabled md in elementwises, reductions and expand_v2

* CI fix for invalid numpy copy

* fixed formatting

* CI rerun

* changes after review

* optimize the performanece of sum api

* optimize IsDenseTensorInput

* remove debug log