* pad infershape

* fix code

* fix

* add set dtype

* transfer nll_loss infershape into phi

* transfer the infershape of accuracy op into phi

* add set_dtype

* add setdtype

* [PHI] Migrate where_index op

* [PHI] Fix where_index infermate

* [Phi] set where_index out data type

* move segment_pool to phi.

* mark summed ids as optional tensor.

* fix as reviews.

* add the infer shape meta for the graph_send_recv

* move the infershape code to another file

* move argsort to phi

* refine files

* remove mutable_data

* fix unittest

* fix unittest

* remove infershape

* update infershape

* fix ci

* fix ci

* fix ci

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* move arg min max to phi.

* move infermeta.

* fix as reviews.

* move viterbi to phi

* move infershape to phi

* update infershape

* fix

* resolve conflicts

* migrate eigh to phi

* optimize code

* modify code according to comment

* conflict resolution

* [Phi] Migrate linspace op

* [Phi] Migrate linspace op

* [Phi] Fix linspace op

* [PHI] rename data_tranform to data_type_transform

* [PHI] Fix DECLARE and PD

* add reduce_max kernel

* add reduce max kernel

* update reduce max Argumentmapping

* remove reduce_max kernel

* remove reduce_max kernel

* add reduce max infermeta

* rename reduce infermeta

* support isfinite for phi

* mark v2

* fixed bugs

* fixed include bugs

* deal with comments

* decoupling selected_rows

* rm bfloat16

* fixed infermeta

* fixed code style

* rm useless code

* replace pt by pd

* [Phi] move InferShape for truncated_gaussian_random and gaussian_random

* [Phi] delete useless codes

* move infershapes to phi

* update code format

* update code format

* move bincount OP to phi

* fix dtype

* set_dtype by weights or x

* fix conflicts

* Add is_empty

* fixed for CI

* fixed code style

* resolve conflict

* deal with comments

* replace pt by pd

* [Phi]Migrate Adamax into phi

* Add adadelta kernel

* move dist op to phi

* fix

* fix

* fix as reviews

* Migrate triangular_solve op into phi

* fix CI

* move MatrixReduceSum to phi funcs

* move MatrixReduceSum to phi funcs

* fix comment

* fic CI

* [Phi] move infershape for mv

* [Phi] delete extra codes for mv

* move gather_nd/scatter/scatter_nd_add

* fix npu/xpu ci

* follow comments

* small fix

* add digamma, abs, trunc; test=develop

* fix bug and add diagonal; test=develop

* add name coverter; test=develop

* update tracer.py; test=develop

* add test case; test=develop

* fix bugs; test=develop

* fix bug caused by split infershape

* revert infer_shape of split

* revert split

* remove cholsky solve deps with svd helper

* fix shape infer bug

* Move compare OPs to phi

* Fix bug

* Use BroadcastKernel and ElementwiseKernel in phi

* Move BroadcastTensors OP to phi

* Remove mutable_data in impl

* Move BilinearTensorProductInferMeta to multiary.h/cc

* unify complex type trait and fix real imag bug

* add unittest for type tratis

* modify infershape utils and rm reduce infershape

* merge develop

* fix infermete bug

* add IsForInferShape func in ArgumentMappingContext

* add reduce_mean infermeta

* modify annotation

* add default dims

* 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

* 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>

* move size, erfinv, pixel_shuffle infershape to phi

* fix erfinv infermeta

* fix selected_rows bug in C++ API

* add optional for C++ APIO

* data transform support optional

* remove data transform for optional vector<Tensor>

* adjust some format of funtcion

* fix empyt bug

* 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

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

* set_dtype and mod MultinomialFunctor