* 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

* first commit

* fix some bugs in code

* fix bugs

* to optimize merge one dimension feature

* 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

* add convert rules for fill_any_like op in paddle science

* add unit test for fill_any_like op in paddle science

* modify fill_any_like convert rule

* modify fill_any_like convert rule dtype

* [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

* add ci rule for blocking legacy kernel registration, test=document_fix

* add a test case, test=document_fix

* Revert "add a test case, test=document_fix"

This reverts commit 239e08678b791aabb8fae48c4b74f2a8861e222d.

* polish desc, test=document_fix

* bugfix (#45332)

* dist embedding support lookup table v1

* add unitest

* customize wait_comm

* group gradients

* bugfix

* update program

* support bfloat16 for amp_decorate

* add check_finite for bf16

* fix bug

* add ut

* add ut

* refine code

* fix arm fp16 compile error

* polish macro impl

* fix select_input with different shape errors:
1. select_input_with_buildin_type directly return non-undefinedvar branch when meeting undefined var
2. the output shape of select_input is inferred from inputs.

* reverse the logic in select_input

* 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