* Convert GradMergeAllReduceOpHandle in GraphToBlock

* Set FLAGS_CONVERT_GRAPH_TO_PROGRAM to False

[Eager, Performance optimization] support less_than & less_equal( < & <= operator) to sink to Cpp layer (#46542)

* added fc int8 tests

* CI fix

* added skipping UTs for GPUs

* fixes for CI

* added support for residual connections inside fc

* fix for quant int8 bias

* - lint
Co-authored-by: Njakpiase <jakpia21@gmail.com>

* Relu6

* remove fluid handler

* add individual kernel signature

* coding style

* replace bounded_relu with clip

* whitespace

* code style

* add gpu kernel for transfer layout

* comment error throw

* fix: flag setting in testcase; add condition check for raising error

* fix typo

* fix: add error type for PADDLE_THROW

* remove kernel fallback in data_transfer.cc

* remove useless variable definition

* fix clip_extra code in remove_training_info

* revert rnn opmaker clear

* [Eager] math op sink to Cpp level

* fix ci errors

* draft version

* support + and - operator under cpp directly

* add static test

* polish code

* promote types or unify right type to left

* recover static test case

* polish code and fix some ci errors

* support complex and polish code

* fix conflicts

* fix windows ci errors

* fix windows-inference-ci errors

* polish and fix tests

* fix test case

* polish code

* [Eager, Performance optimization] support multiply( * operator) to sink to Cpp layer

* rm useless glog

* [Eager, Performance optimization] support divide( / and // operator) to sink to Cpp layer

* polish code

* polish code and fix code-format

* polish code

* fix CI

* polish code

* update test

* support div operator under cpp

* fix scalar as input

* Polish div logic, fix ci test

* fix errors

* init dropout

* small format fix

* fix pr comments

* add value test

* half2

* add epsilon

* [Paddle Inference]support n lookup_tables fuse to embeddinglayernorm(3)

* refine gil use

* [CodeStyle] remove all future import

* revert test_error.py

* restore future import in example code

* - Conv grad changed for MD

* - lint

* - compilation fix

* yet another lint

* fix libpaddle soname mismatch error

* fix windows failed

* polish linux and windows make impl

* unify winddows lib name

* fix windows error

* revert copy dst change

* revert naming change

* revert windows change

* fix gpups compile failed

* [Eager] math op sink to Cpp level

* fix ci errors

* draft version


* support + and - operator under cpp directly

* add static test

* polish code

* promote types or unify right type to left

* recover static test case

* polish code and fix some ci errors

* support complex and polish code

* fix conflicts

* fix windows ci errors

* fix windows-inference-ci errors

* polish and fix tests

* fix test case

* polish code

* [Eager, Performance optimization] support multiply( * operator) to sink to Cpp layer

* rm useless glog

* polish code

* polish code and fix code-format

* polish code

* fix CI

* polish code

[Eager, Performance optimization] math op sink to Cpp level ( + and - operator as an example ) (#45811)

* [Eager] math op sink to Cpp level

* fix ci errors

* draft version

* draft version

* draft version

* support + and - operator under cpp directly

* add static test

* polish code

* promote types or unify right type to left

* recover static test case

* polish code and fix some ci errors

* support complex and polish code

* fix conflicts

* fix windows ci errors

* fix windows-inference-ci errors

* polish and fix tests

* fix test case

* polish code

* polish code

* polish code and fix code-format

* polish code

* polish code

* polish code

* polish code

* enable eager mode on xpu, test=kunlun

* add numpy support to xpu

* fix tensor using error

* fix  error, test=kunlun

* fix failed tests, test=kunlun

* support rsqrt_p

* refine code and ut

* add_prim_rsqrt

* fix ut

* Add ExecutionConfig and fix last-live-op bug for standalone executor

* Improve code design

* add phi reduce_sum test=kunlun

* add fhi reduce_sum test=kunlun

* add fhi reduce_sum test=kunlun