* [CustomDevice] add custom_device_resource_pool & device_event_custom_device

* update

* update

* update

* update

* 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

* unify  core_avx and core_noavx

* fix except error

* revert mac compile logic

* revert dylib to so

* add core_noavx branch

* remove core_noavx

* replace paddle_core by lib paddle

* polish var name

* replace paddle_core by libpaddle

* update custom device commit

* polish code by comments

* 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

* saved_tensors_hooks

* make eager log readable

* fix compile error

* recover test

* invoke ci again

* delete eigen header in data_type.h

* fix complie bug

* refactor

* trim trailing whitespace

* fix `.cmake-format.py`

* revert npu ut changes, avoid npu ci error

* merge python lib
* Update third_party.cmake
* Update CMakeLists.txt

* Delay TensorRT registry
* Add unused define
* Fix TensorRT test
* fix function to reference
* Update trt_plugin.h

* 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)

* update

* update

* update

* 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

* normalize yaml op label

* revert op_compat yaml change

* fix prelu and rnn compat problem

* replace api by op

* optimize executor log

* delete log in new exe

* add log for old executor

* use LOG_FIRST_N(INFO, 1)

* clear extra attr of activation op in opmaker

* fix syntax bug

* fix mkldnn kernel

* fix merge conflict

* fix bug

* add softmax infer kernel

* add scope cache & reuse

* add gc scope for end of each train step

* del scope reuse for jit

* refine code

* test