* update xpu depends
*test=kunlun

* minor
*test=kunlun
Co-authored-by: Nroot <root@yq01-sys-hic-p40-0091.yq01.baidu.com>

* fix bug of batch_norm_grad kernel with fp16

* format code

* enable graph-engine to return all id

* change vector's dimension

* change vector's dimension

* enlarge returned ids dimensions

* add actual_val

* change vlog

* fix bug

* bug fix

* bug fix

* fix display test

* singleton of gpu_graph_wrapper

* change sample result's structure to fit training

* recover sample code

* fix

* secondary sample

* add graph partition

* fix pybind
Co-authored-by: NDesmonDay <908660116@qq.com>

* fix paddle-ort python bug

* fix paddle-ort python bug

* Fix test_cudnn_norm_conv and test_cudnn_bn_add_relu in CUDA11.2

* no throw in V100 for some cases

* remove useless lod copy

* fix test failed

* revert meta change

* revert tensor change

* enable graph-engine to return all id

* change vector's dimension

* change vector's dimension

* enlarge returned ids dimensions

* Extend python einsum interface to make einsum_v2 support multi-operands and switch it to default.

* add opt_einsum dependence

* add yaml and support eager model

* fix by code review

* add double yaml

* add inline func

* back fl

* delete ssl cert

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* make warning

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* unittest paral degree

* solve unittest

* heter & multi cloud commm ready

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* arm_brpc compile

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* only output is ok

* base is ok

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* add switch server bin

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* adapt brpc ssl

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* fix heter_server & heter_client

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* int->int64_t

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* safe map in multithread

* fix heter unitest

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* fix code_style

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* opt attr eaque perf

* opt attr select code

* fix one hot infermeta

* polish get attr impl

* fix tests failed

* add testcases

* Suppport more scenes for fused_fast_ln

* fix

* Refactor Quantization

* Refactor Dequantization

* Classy solution

* Style I

* Style II

* Style III

* Use VLOG(4) for debug info

* Style IV

* add gradient merge for DistributedFusedLamb

* use master acc gradient

* fix CI ut

* polish

* remove math_function_impl.h change

* fix test_update_loss_scaling_op.py

* try to fix XPU/NPU CI

* add gm ut

* [KP] fix bug when phi kernel is *_raw

* modify the static graph

* delete useless comment

* delete the phi multiply kernel case

* add VLOG(3) message

* add VLOG(3) message

* fix static graph error in phi

* fix bug in tranform model

* modify the comment

* delete useless code

* fix CI bug

* fix CI bug

* test op_test test=allcases

* fix

* avoid copy many same file

* fix for win

* test PYTHONPATH

* change path adding way

* fix win

* use old way

* use old way test=allcase

* use old way test=allcase

* set device id of Place() to get GPUContext needed by LimitGridDim in ElemwiseGradBroadcast

* fix code style

* added test for shuffle_channel_mkldnn_detect_pass

* added UT using new framework

* CI fix

* Fix the race condition in cumsum operator

* Optimize cumsum operator