* modify infershape of yolo_box

* move gather.h gather.cu.h scatter.h scatter.cu.h to phi library

* fix CI

* fix rocm ci

* move elementwise function to funcs directory

* fix compile bugs

* modify according to comment

* immigrate_transpose_to_pten cpu kernel only; test=develop

* fix bug; test=develop

* add transpose cuda api

* bug fix;

* fix bugs

* fix bugs; test=develop

* bug fix;

* move transepose to pten; test=develop

* fix bug; test=develop

* fix bugs; test=develop

* add transpose grad fp16 support; test=develop

* fix bug; test=develop

* fix npu bug; test=develop

* fix nemul = 0 bug; test=develop

* add fp16 support; test=develop

* fix data type register bug; test=develop

* fix transpose bug; test=develop

* update transpose

* fix transpose bug; test=develop

* remove useless code; test=develop

* remove useless code; test=develop

* fix transpose alias bug; test=develop

* polish code; test=develop

* resolve confict; test=develop

* resolve confilct; test=develop

* recover prepared operator; test=develop

* fix bug; test=develop

* polish code; test=develop

* fix bug; test=develop

* fix bug; test=develop

* Move BroadcastTensors OP to phi

* Remove mutable_data in impl

* Move BilinearTensorProductInferMeta to multiary.h/cc

* add softmax log_softmax

* refine rocm

* refine unittest

* move to phi

* migrate gather_tree_op into phi

* move reduce_prod tp phi

* optimize code

* unify complex type trait and fix real imag bug

* add unittest for type tratis

* [MLU] adapt matmul op

* [MLU] fix phi namespace

* move sequence2batch

* move lstm and gru

* Add phi/kernels directory into exclusion to stop using hipcc to compile non .cu files in it.

* 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

* tranfer the selu_op and pass the CI

* add sig files

* fix code

* fix by code review

* remove TOOD

* change the include position

* change the head position

* 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

* optimize mergeadd for sparse_adam,*test=kunlun

* optimize mergeadd for sparse_adam,*test=kunlun

* optimize mergeadd for sparse_adam, *test=kunlun

* 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

* optimize group norm forward

* use vectorized optimization

* add scalar calculation code

* optimize code

* vectorize lamb kernel

* remove flags, add ut

* remove useless codes

* refine code, add param order

* 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

* init grid_sampler with mode=bilinear

* solve error

* rm fill constant

* rm head

* change block size

* change block size

* optimize

* apply existing config

* [Phi] move truncated_gaussian_random, copy kernels

* [Phi] move truncated_gaussian_random, kernel register

* [Phi] move truncated_gaussian_random, delete useless codes

* update;test=cpu-py3

* rename pten_utils to phi_utils

* rename pten_utils target

* rename Pten to Phi

* replace pten with phi

* resolve conflict

* [KP] Unify .cu and .xpu files with .kps files

* fix CI bug in GPU and modify the list

* fix conflict

* modify the date

* 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

* add multi tensor apply l2 norm

* add multi_tensor_apply code

* make sizeof(TensorMeta) smalller

* move code to distributed_fused_lamb_op.cu

* remove useless FLAGS