* add layer norm

* add p norm

* add reduce sum

* refine layer norm register bf16 for cudnn811

* add bf16 cast for hip

* add unittest

* refine rocm

* refine layer_norm unittest

* refine reduce op

* refine unittest

* enhance atol for reduce unittest

* add scale gather sum

* refine CUDA_ATOMIC_WRAPPER ADD for bf16

* add gather unittest

* solve conflict

* add scale uinttest

* add sum unittest

* solve conflict

* refine gather unittest

* refine unittest

* move uniform_random to phi

* fit selected_rows

* replace mutable_data

* add multi input for infer_shape

* support multi output for infershape

* fix split bug

* fix bug of concat

* support vector<MetaTensor*> in infrt

* fix bug

* [Phi] Migrate logical_and/or/not/xor into Phi

* fix unittest

* fix function name

* graph engine demo

* upload unsaved changes

* fix dependency error

* fix shard_num problem

* py client

* remove lock and graph-type

* add load direct graph

* add load direct graph

* add load direct graph

* batch random_sample

* batch_sample_k

* fix num_nodes size

* batch brpc

* batch brpc

* add test

* add test

* add load_nodes; change add_node function

* change sample return type to pair

* resolve conflict

* resolved conflict

* resolved conflict

* separate server and client

* merge pair type

* fix

* resolved conflict

* fixed segment fault; high-level VLOG for load edges and load nodes

* random_sample return 0

* rm useless loop

* test:load edge

* fix ret -1

* test: rm sample

* rm sample

* random_sample return future

* random_sample return int

* test fake node

* fixed here

* memory leak

* remove test code

* fix return problem

* add common_graph_table

* random sample node &test & change data-structure from linkedList to vector

* add common_graph_table

* sample with srand

* add node_types

* optimize nodes sample

* recover test

* random sample

* destruct weighted sampler

* GraphEdgeBlob

* WeightedGraphEdgeBlob to GraphEdgeBlob

* WeightedGraphEdgeBlob to GraphEdgeBlob

* pybind sample nodes api

* pull nodes with step

* fixed pull_graph_list bug; add test for pull_graph_list by step

* add graph table;name

* add graph table;name

* add pybind

* add pybind

* add FeatureNode

* add FeatureNode

* add FeatureNode Serialize

* add FeatureNode Serialize

* get_feat_node

* avoid local rpc

* fix get_node_feat

* fix get_node_feat

* remove log

* get_node_feat return  py:bytes

* merge develop with graph_engine

* fix threadpool.h head

* fix

* fix typo

* resolve conflict

* fix conflict

* recover lost content

* fix pybind of FeatureNode

* recover cmake

* recover tools

* resolve conflict

* resolve linking problem

* code style

* change test_server port

* fix code problems

* remove shard_num config

* remove redundent threads

* optimize start server

* remove logs

* fix code problems by reviewers' suggestions

* move graph files into a folder

* code style change

* remove graph operations from base table

* optimize get_feat function of graph engine

* fix long long count problem

* remove redandunt graph files

* remove unused shell

* recover dropout_op_pass.h

* fix potential stack overflow when request number is too large & node add & node clear & node remove

* when sample k is larger than neigbor num, return directly

* using random seed generator of paddle to speed up

* fix bug of random sample k

* fix code style

* fix code style

* add remove graph to fleet_py.cc

* fix blocking_queue problem

* fix style

* fix

* recover capacity check

* add remove graph node; add set_feature

* add remove graph node; add set_feature

* add remove graph node; add set_feature

* add remove graph node; add set_feature

* fix distributed op combining problems

* optimize

* remove logs

* fix MultiSlotDataGenerator error

* cache for graph engine

* fix type compare error

* more test&fix thread terminating problem

* remove header

* change time interval of shrink

* use cache when sample nodes

* remove unused function

* change unique_ptr to shared_ptr

* simplify cache template

* cache api on client

* fix

* reduce sample threads when cache is not used

* reduce cache memory

* cache optimization

* remove test function

* remove extra fetch function

* graph-engine data transfer optimization

* support graph_split load&query

* remove logs

* change shards to pointer vector

* use inference

* remove test code

* renorm op

* simplify renorm op

* recover local changes

* recover renorm op kernel

* fix init

* add blanklines in renorm doc

* fix import

* fix import

* add renorm to init.py

* merge

* move index_sample op

* Delete api.h

* Delete api.cc

* fix

* remove logs

* recover infer shape of grad

* recover changes

* change shape

* fix label

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix
Co-authored-by: NHuang Zhengjie <270018958@qq.com>
Co-authored-by: NWeiyue Su <weiyue.su@gmail.com>
Co-authored-by: Nsuweiyue <suweiyue@baidu.com>
Co-authored-by: Nluobin06 <luobin06@baidu.com>
Co-authored-by: Nliweibin02 <liweibin02@baidu.com>
Co-authored-by: Ntangwei12 <tangwei12@baidu.com>

* [Phi] move truncated_gaussian_random, copy kernels

* [Phi] move truncated_gaussian_random, kernel register

* [Phi] move truncated_gaussian_random, delete useless codes

* remove SetAllocationForOutputTenosr

* add place param for copy kernel

* recover SetAllocationForOutputTenosr

* polish code

* fix empty_dev api bug

* test=allcases

* test=allcases

* fix bug

* recover empty

* recover modify

* Move GumbelSoftmax OP to phi

* platform::errors -> phi::errors; GumbelSoftmaxGradInferMeta -> backend.h/cc

* Use axis util in kernel impl

* Remove namespace platform::errors

* Use GetCPUEngine in Device Context

* Move BilinearTensorProduct OP to phi

* Set dtype for Infermeta

* move eye OP to pten

* move size OP to pten

* merge develop

* fix merge

* move files

* move erfinv OP to phi

* remove comment

* move pixel_shuffle OP to phi

* remove comment

* fix PT_REGISTER

* fix NPU

* fix CR

* remove size_sig.cc for PR-CI-Coverage

* [phi]migrate increment addmm multinomial cholesky InferShapes to phi

* set_dtype and mod MultinomialFunctor

* add ele_add

* add ele_mul

* add ele_sub

* sovle conflict

* fix npu

* refine ele_add

* add ele_mul unittest

* refine ele_sub

* refine ci

* refine unittest

[Phi] mv kernel 

* refine randint kernel

* refine randperm kernel

* refine unbind kernel

* support op seed

* support cudnn kernel moving

* polish cmake rules

* add unittest for coverage

* remove orig kernel

* remove softmax cudnn kernel

* fix softmax test failed

* fix npu func error

* resolve conflict

* rename gpu dnn kernels

* fix name rule error

* fix compile error

* update fp16 namespace

* migrate increment addmm multinomial cholesky kernels to phi

* test pr39869

* test pr39869

* fix style and ci

* move randint to phi

* use host generator

* move cross forward OP

* move cross grad op to phi

* move infershape

* refine infershape

* rename ctx

* set dtype and layout in InferMeta

* refine code

* move bce_loss to phi

* refine PADDLE_ENFORCE

* revert PADDLE_ENFORCE

* fix ci

* Migrate poisson op into phi

* fix CI

* fix comment

* move randperm to phi

* fix npu

* fix memory::Copy

* change CUDA implementaion of bernoulli OP

* fix CI

* move unbind to phi

* revert infer shape

* add header file

* move concat_and_split to phi

* [KP] Add elementwise add xpu, test=develop

* modify the File Permissions

* modify the copyright time

* modify code style

* modify code style

* [Phi] Migrate lable_smooth_op into Phi

* fix PT->PD

* add elementwise_div

* refine rocm

* refine code

* refine op register

* solve conflict

* refine unittest

* refine unittest precision

* add rocm

* remove fill_any_like kernel in fluid and fix data transform bug

* support scalar in infershpe

* recover infershape in fill_and_like

* Move Real OP to phi

* Move Imag OP to phi

* Move Real and Imag InferShape to phi

* Move Real and Imag to complex_kernel

* Change PT_REGISTER_XXX to PD_REGISTER_XXX

* change Vector to std::vector and provide MixVector class as a helper wrapper class

* solve the multi-gpu hang problem

* remove the duplicate template instantialize

* Copy vector to cpu

* add CopyToCPU

* xxx

* final version: fix the problem of all reduce

* remove mixvector dependence

* fix

* merge

* fix code

* fix by CI

* [Phi] Migrate unfold_op into phi

* fix im2col CPUContext template instantial

* fix unfold_op.h header include problem

* fix unittest

* fix PT->PD

* unify register macro

* rename declare macro

* fix infrt error