* Add dlnne engine runtime

* Fix log

* Remove <const_cast> and remove unrelated modify with dlnne, +clang-format

* Fix CMakeList format error

* Add copyright message

* Fix dlnne CMakeList.txt

* Add some paddlepaddle_pass to support more networks

* Fix some format bug

* print the real name for Functions instead of the ArgSpec

class function method

* some API's name is not __module__ + __name__

so, we disard them temporarily.

* update the logging format for console

* ommit the top level of paddle package.

* these APIs have been removed.

test=document_fix

* Another Error occerd

* print_signatures.py 's stdout is redirect to spec file, so should not print any other info.

so sad.

* print the error msg to stderr

* disable the __init__ magic method

* update unittest for sampcd_processor.py

update unittest for sampcd_processor.py

* PR-CI-APPROVAL 's python interpreter name is not 'python3'.

it's a python3.9;
it does not have paddle installed yet.

此句在CI流水线竟然不可以用。报python3找不到
此句在CI流水线竟然不可以用。因为环境没有安装paddle

* testing only extract api from __all__

paddle module(the top module) does not have __add__
test=document_fix

* should import paddle here

* update the mechanism of extractiong and executing for the sample-codes test.

更新抽取代码和执行代码的逻辑
优化输出打印

* good code style

Reduce max iter size to fix windows openblas test_yolov3 random failure.
Decrease batch size to fix pe related unittest random failure.

* remove useless ext headers

* fix boost header compile failed

* add c_identity op, test=develop

* remove ut from parallel_ut_rule caused by timeout

* remove timeout ut from parallel_ut_rule file

* move convert_model2dot_ernie to TWO_PARALLEL_JOB list

* Refine Constructor logic of ParallelExecutor

* refine function name

* refine code comment

* refactor_check_finite_and_scale_npu_kernel

* fix compile

* add alloc_float_status op

* add alloc_float_status op

* add FloatStatus for check_finite_and_unscale

* refine code

* remove unneccessary logic

* refine for fleet

* move semantic checks to op_teller

* more ops

* more ops

* revert block related change

* part1

* revert activation

* remove if

* remove const_cast

* reslove conflict

* remove const_cast

* delete useless var

* replace vlog(1) with vlog(3), replace assert with PADDLE_ENFORCE

* down to 19 files

* fix Windows CI MP compile and environment install script

* clear Windows CI environment

* clear Windows CI environment

* clear Windows CI environment

solve hccl communicate conflict (#32447)

* add c_concat op

* fix two error message

* fix two error message

* fix error

* fix error

* fix error

* fix error

* fix some error message

* fix some error

* fix error

* fix some error

* fix some error

* fix some error

* fix one error

* fix some error

* fix seven error message

* fix error

* fix error

* fix error

* fix error

support int32 and int64 kernel for clip operator 

* import sequence_* API to new namespace

* fix typos, remove alias marking

* update sample code

* fix sample code

* fix docstring for sequence_mask

* modify conv2d_transpose docs

* add clip/check

* add amp & clip grad in dygraph

* add logging

add glu in nn.functional

* 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
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>

* support save/load binary format tensor

* Fix error when create cudaplace

* Fix error when create cudaplace

* Fix error when create cudaplace

* get devive context from pool.

* move define of 'SerializeToStream' and 'DeserializeFromStream' to 'lod_tensor.cc' and 'selected_rows.cc'.

* improve coverage.

* improve coverage.

* polish API

* deal with conflict

* disable save/load large file in unnittest

* split unnittest.

* add support for optimizer with varbase input

* refine cond

* fix failed unittest

* add test for coverage