GitLab

* Update

* Update

* Fix

* Update

* CI

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* [BugFix] fix job status in master CI

* finalize

* PR3355 + CSR conversion workaround

* Remove debug code

* Fix convention errors

* Remove wrongly added code section during merge

* Update to reflect dataloading changes

* Fix missing changes

* Remove comment

* Fix linter errors

* Fix trailing whitespace

* Add wrapper around worker init function
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

refactor CI report and log

Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>

* add ut

* add doc link

* install dep

* add

* Revert "install dep"

This reverts commit e574a8377144749056c6849b655004df2771e179.

* add

* merge fix

* rm files

* fix

* fix

* fix

* fix

* fix typo

* fix tf

* fix

* fix

* fix

* fix

* fix

* fix dependency

* fix test

* fix

* fix

* add doc

* fix

* fix

* fix test

* fix test
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* add ut

* add doc link

* install dep

* fix  ci

* fix ut; more comments

* remove deprecated attributes in rdf datasets; fix label feature name

* address comments

* fix ut for other frameworks

* [Fix] reduce error msg, refine fetch logic of available ports

* un-initialize client before sending shutdown request

* fix import error

* print connect failure log only in debug mode

* enable DMLC_LOG_DEBUG=1 in CI

* [Feature] add CSVDataset to load data from csv files

* add CSVDataset class file

* install pyyaml when running unit tests

* install pandas for unit tests

* utilize pydantic for YAML config check

* generate yaml and csv files during test

* make more keys as optional

* remove/rename several keys in yaml config and more tets though looks a bit clumsy

* fix test failure on mxnet

* pass /path/to/dataset instead of yaml path

* code refinement

* code refine

* change several yaml field such as feat and graph_id

* merge graph generation logic

* refine code

* Refactored_first_version

* DGLCSVDataset works for single heterograph

* add more tests

* fix test failure in mxnet

* add docstring

* use list comprehension for dict

* fix version in YAML

* refine data length assert

* use dict.pop directly

* remove ambiguous variable names

* refine graph id missing logic

* refine graph create call

* separate node/edge/graph data parser

* remove separator in DefaultDataParser

* refine validation error log for yaml field

* minor check

* refine code via dict.get()

* move load_from_csv into Node/Edge/GraphData

* move _parse_node/edge/graph_data into Node/Edge/GraphData

* refine id-related fields check

* check duplicate ntypes/etypes when load yaml

* refine docstring

* try enable kvstore test

* fix

* fix

* seperate out kvstore test

* add comment

* fix

* remove nvidiasmi

* fix

* fix docs

* fix

* fix

* 1

* fix

* remove

* skip deprecated kernel

* fix

* Revert "skip deprecated kernel"

This reverts commit c5ceb7f60dbbaf065b81cc3680757fd611d90ad3.

* fix

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Fix

* Update

* Fix subgraph tests

* Capture stdout for distributed test

* Capture stdout for distributed test

* Update

* Update

* Update

* Update subgraph.cc
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-17.us-west-2.compute.internal>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* add init version.

* fix build.

* fix format.

* fix.

* fix.

* fix format.

* update README.

* avoid running CI on distributed training tutorials.

* Update tutorials/dist/1_node_classification.py
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* fix.
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* add

* fix

* set default

* fix

* try master

* try fix

* try

* fix

* 111

* fix

* fix

* update

* ccc

* try

* fix

* fix

* try new machine

* fix

* fix

* fix

* Revert "fix"

This reverts commit e716d66b046f92fe7ae368947a51a036a7a3188a.

* try

* more parrallel

* use k8s for all

* fix name

* try not specify instance type

* ci

* use one yaml

* Revert "use one yaml"

This reverts commit 717d8d852be39fbf2e2e45f9f224aa97907c372c.

* add timeout

* fix permission

* mount efs

* print

* fix pvc

* fix

* restrict num of gpu instances

* check

* fix

* fix

* add lda model

* tweak latent dirichlet allocation

* Update README.md

* Update README.md

* update example index

* update header

* minor tweak

* add example test

* update doc

* Update README.md

* Update README.md

* add partial_fit for free

* Update examples/pytorch/lda/lda_model.py
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update examples/pytorch/lda/example_20newsgroups.py
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update lda_model.py

* bugfix torch Gamma uses rate parameter
Co-authored-by: Yifei Ma <yifeim@amazon.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* reorg

* change titles

* rm some stale API doc; minor fix

* fix docs

* add warning

* rm new-tutorial run in ci

* lint

* fix inconsistencies and GPu

* bug fixes

* fix

* trigger new tutorials

* first commit

* some thoughts

* move around

* more commit

* more fixes

* now it uses torch allocator

* fix symbol export error

* fix

* fixes

* test fix

* add script

* building separate library per version

* fix for vs2019

* more fixes

* fix on windows build

* update jenkinsfile

* auto copy built dlls for windows

* lint and installation guide update

* fix

* specify conda environment

* set environment for ci

* fix

* fix

* fix

* fix again

* revert

* fix cmake

* fix

* switch to using python interpreter path

* remove scripts

* debug

* oops sorry

* Update index.rst

* Update index.rst

* copies automatically, no need for this

* do not print message if library not found

* tiny fixes

* debug on nightly

* replace add_compile_definitions to make CMake 3.5 happy

* fix linking to wrong lib for multiple pytorch envs

* changed building strategy

* fix nightly

* fix windows

* fix windows again

* setup bugfix

* address comments

* change README

* rm gcn spmv

* remove useless test

* remove useless test
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>

* some file movements

* move some codes to deprecated

* more deprecation

* lint

* remove useless test

* fix tests in partition.

* fix DistGraph.

* fix without shared memory.

* fix sampling.

* enable distributed test.

* fix tests.

* fix a bug in shared-mem heterograph.

* print better error messages.

* fix.

* don't specify formats.

* fix.

* fix

* small fix.

* Merge

* [Graph][CUDA] Graph on GPU and many refactoring (#1791)

* change edge_ids behavior and C++ impl

* fix unittests; remove utils.Index in edge_id

* pass mx and th tests

* pass tf test

* add aten::Scatter_

* Add nonzero; impl CSRGetDataAndIndices/CSRSliceMatrix

* CSRGetData and CSRGetDataAndIndices passed tests

* CSRSliceMatrix basic tests

* fix bug in empty slice

* CUDA CSRHasDuplicate

* has_node; has_edge_between

* predecessors, successors

* deprecate send/recv; fix send_and_recv

* deprecate send/recv; fix send_and_recv

* in_edges; out_edges; all_edges; apply_edges

* in deg/out deg

* subgraph/edge_subgraph

* adj

* in_subgraph/out_subgraph

* sample neighbors

* set/get_n/e_repr

* wip: working on refactoring all idtypes

* pass ndata/edata tests on gpu

* fix

* stash

* workaround nonzero issue

* stash

* nx conversion

* test_hetero_basics except update routines

* test_update_routines

* test_hetero_basics for pytorch

* more fixes

* WIP: flatten graph

* wip: flatten

* test_flatten

* test_to_device

* fix bug in to_homo

* fix bug in CSRSliceMatrix

* pass subgraph test

* fix send_and_recv

* fix filter

* test_heterograph

* passed all pytorch tests

* fix mx unittest

* fix pytorch test_nn

* fix all unittests for PyTorch

* passed all mxnet tests

* lint

* fix tf nn test

* pass all tf tests

* lint

* lint

* change deprecation

* try fix compile

* lint

* update METIDS

* fix utest

* fix

* fix utests

* try debug

* revert

* small fix

* fix utests

* upd

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* trigger

* +1s

* [kernel] Use heterograph index instead of unitgraph index (#1813)

* upd

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* trigger

* +1s

* [Graph] Mutation for Heterograph (#1818)

* mutation add_nodes and add_edges

* Add support for remove_edges, remove_nodes, add_selfloop, remove_selfloop

* Fix
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>

* upd

* upd

* upd

* fix

* [Transfom] Mutable transform (#1833)

* add nodesy

* All three

* Fix

* lint

* Add some test case

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* fix

* triger

* Fix

* fix
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>

* [Graph] Migrate Batch & Readout module to heterograph (#1836)

* dgl.batch

* unbatch

* fix to device

* reduce readout; segment reduce

* change batch_num_nodes|edges to function

* reduce readout/ softmax

* broadcast

* topk

* fix

* fix tf and mx

* fix some ci

* fix batch but unbatch differently

* new checkk

* upd

* upd

* upd

* idtype behavior; code reorg

* idtype behavior; code reorg

* wip: test_basics

* pass test_basics

* WIP: from nx/ to nx

* missing files

* upd

* pass test_basics:test_nx_conversion

* Fix test

* Fix inplace update

* WIP: fixing tests

* upd

* pass test_transform cpu

* pass gpu test_transform

* pass test_batched_graph

* GPU graph auto cast to int32

* missing file

* stash

* WIP: rgcn-hetero

* Fix two datasety

* upd

* weird

* Fix capsuley

* fuck you

* fuck matthias

* Fix dgmg

* fix bug in block degrees; pass rgcn-hetero

* rgcn

* gat and diffpool fix
also fix ppi and tu dataset

* Tree LSTM

* pointcloud

* rrn; wip: sgc

* resolve conflicts

* upd

* sgc and reddit dataset

* upd

* Fix deepwalk, gindt and gcn

* fix datasets and sign

* optimization

* optimization

* upd

* upd

* Fix GIN

* fix bug in add_nodes add_edges; tagcn

* adaptive sampling and gcmc

* upd

* upd

* fix geometric

* fix

* metapath2vec

* fix agnn

* fix pickling problem of block

* fix utests

* miss file

* linegraph

* upd

* upd

* upd

* graphsage

* stgcn_wave

* fix hgt

* on unittests

* Fix transformer

* Fix HAN

* passed pytorch unittests

* lint

* fix

* Fix cluster gcn

* cluster-gcn is ready

* on fixing block related codes

* 2nd order derivative

* Revert "2nd order derivative"

This reverts commit 523bf6c249bee61b51b1ad1babf42aad4167f206.

* passed torch utests again

* fix all mxnet unittests

* delete some useless tests

* pass all tf cpu tests

* disable

* disable distributed unittest

* fix

* fix

* lint

* fix

* fix

* fix script

* fix tutorial

* fix apply edges bug

* fix 2 basics

* fix tutorial
Co-authored-by: yzh119 <expye@outlook.com>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-7-42.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-1-5.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-68-185.ec2.internal>

* neighbor sampler data loader first commit

* more commit

* nodedataloader

* fix

* update RGCN example

* update OGB

* fixes

* fix minibatch RGCN crashing with self loop

* reverting gatconv test code

* fix

* change to new solution that doesn't require tf dataloader

* fix

* lint

* fix

* fixes

* change doc

* fix docstring

* docstring fixes

* return seeds and input nodes from data loader

* fixes

* fix test

* fix windows build problem

* add pytorch wrapper

* fixes

* add pytorch wrapper

* add unit test

* add -1 support to sample_neighbors & fix docstrings

* docstring fix

* lint

* add minibatch rgcn evaluations
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Tong He <hetong007@gmail.com>

* Turn to official dlpack

* fix

* fix

* add test.

* move test code.

* remvoe unnecessary test.

* fix.

* turn on tests for TF.

* Revert "move test code."

This reverts commit e7b4f36395b2121a7be030bd4364a704d0e357bf.

* fix.

* fix.

* skip test for tensorflow.
Co-authored-by: Chao Ma <mctt90@gmail.com>

* deprecate DGL-KE.

* Update README.md

* remove from CI.

* remove tests.
Co-authored-by: Zheng <dzzhen@3c22fb0ed81b.ant.amazon.com>

* change the model to use node embedding only

* minibatch training

* add readme

* small fix

* backward-compatible

* backward compatible

* modify to_block; rgcn changed

* fix

* fix transform

* fix bug in unittest script

* docstring

* fix lint

* add tests

* address comments; fix offline eval

* gitignore

* fix script

* t

* fix weird bugs

* fix

* fix

* Several optimizations on DGL-KG:
1. Sorted positive edges for sampling which can reduce random
   memory access during positive sampling
2. Asynchronous node embedding update
3. Balanced Relation Partition that gives balanced number of
   edges in each partition. When there is no cross partition
   relation, relation embedding can be pin into GPU memory
4. tunable neg_sample_size instead of fixed neg_sample_size

* Fix test

* Fix test and eval.py

* Now TransR is OK

* Fix single GPU with mix_cpu_gpu

* Add app tests

* Fix test script

* fix mxnet

* Fix sample

* Add docstrings

* Fix

* Default value for num_workers

* Upd

* upd

* unit graph that prefers coo queries

* auto detect coo preference

* forgot some functions

* disable lint on detect_prefer_coo

* reorg

* change comment

* lint

* fix

* move array_utils.h to src

* compact graph impl

* fix redundant copying in idhashmap

* docstring

* moving preference detection to C

* lint

* fix unit test & address comments

* hypersparse autorestrict

* docstring & fix

* revert copyto and asnumbits

* fix stupid bug

* lint

* leave a TODO for sorted COO

* fixing same node type mapping to different id in different graphs

* addresses comments

* made induced nodes a feautre column

* lint?

* several nn example

* appnp

* fix lint

* lint

* add dgi

* fix

* fix

* fix

* fff

* docs

* 111

* fix

* change init

* change result

* tiaocan+1

* fix

* fix lint

* fix

* fix

* tf

* add builtin support

* fiix

* pytest

* fix

* fix

* fix some bugs

* fix selecting

* fix todo

* fix test

* fix test fail in tf

* fix

* fix

* fix gather row

* fix gather row

* log backend

* fix gather row

* fix gather row

* fix for pytorch

* fix

* fix

* fix

* fix

* fix

* fix tests

* fix

* fix

* fix

* fix

* fix

* fix

* fix convert

* fix

* fix

* fix

* fix inplace

* add alignment setting

* add debug option

* Revert "add alignment setting"

This reverts commit ec63fb3506ea84fff7d447a1fbdfd1d5d1fb6110.

* tf ci

* fix lint

* fix lint

* add tfdlpack

* fix type

* add env

* fix backend

* fix

* fix tests

* remove one_hot

* remove comment

* remove comment

* fix

* use pip to install all

* fix test

* fix base

* fix

* fix

* add skip

* upgrade cmake

* change version

* change ci

* fix

* fix

* fix

* fix

* fix seg fault

* fix

* fix python version

* fix

* try fix

* fix

* fix

* tf takes longer time in ci

* change py version

* fix

* fix

* fix oom

* change kg env

* change kg env

* 啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊

* 我再也不搞各种乱七八糟环境了……

* use pytest

* Chang image

* try node

* try

* fix

* try new ci

* try new ci

* try new ci

* try new ci

* ci

* try

* try

* fix

* hot fix

* fix

* fix cpp test

* add comments

* tf

* add builtin support

* fiix

* pytest

* fix

* fix

* fix some bugs

* fix selecting

* fix todo

* fix test

* fix test fail in tf

* fix

* fix

* fix gather row

* fix gather row

* log backend

* fix gather row

* fix gather row

* fix for pytorch

* fix

* fix

* fix

* fix

* fix

* fix tests

* fix

* fix

* fix

* fix

* fix

* fix

* fix convert

* fix

* fix

* fix

* fix inplace

* add alignment setting

* add debug option

* Revert "add alignment setting"

This reverts commit ec63fb3506ea84fff7d447a1fbdfd1d5d1fb6110.

* tf ci

* fix lint

* fix lint

* add tfdlpack

* fix type

* add env

* fix backend

* fix

* fix tests

* remove one_hot

* remove comment

* remove comment

* fix

* use pip to install all

* fix test

* fix base

* fix

* fix

* add skip

* upgrade cmake

* change version

* change ci

* fix

* fix

* fix

* fix

* fix seg fault

* fix

* fix python version

* fix

* try fix

* fix

* fix

* tf takes longer time in ci

* change py version

* fix

* fix

* fix oom

* change kg env

* change kg env

* 啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊

* 我再也不搞各种乱七八糟环境了……

* use pytest

* Chang image

* try node

* try

* fix

* try new ci

* try new ci

* try new ci

* try new ci

* ci

* try

* try

* fix

* tf

* add builtin support

* fiix

* pytest

* fix

* fix

* fix some bugs

* fix selecting

* fix todo

* fix test

* fix test fail in tf

* fix

* fix

* fix gather row

* fix gather row

* log backend

* fix gather row

* fix gather row

* fix for pytorch

* fix

* fix

* fix

* fix

* fix

* fix tests

* fix

* fix

* fix

* fix

* fix

* fix

* fix convert

* fix

* fix

* fix

* fix inplace

* add alignment setting

* add debug option

* Revert "add alignment setting"

This reverts commit ec63fb3506ea84fff7d447a1fbdfd1d5d1fb6110.

* tf ci

* fix lint

* fix lint

* add tfdlpack

* fix type

* add env

* fix backend

* fix

* fix tests

* remove one_hot

* remove comment

* remove comment

* fix

* use pip to install all

* fix test

* fix base

* fix

* fix

* add skip

* upgrade cmake

* change version

* change ci

* fix

* fix

* fix

* fix

* fix seg fault

* fix

* fix python version

* fix

* try fix

* fix

* fix

* tf takes longer time in ci

* change py version

* fix

* fix

* fix oom

* change kg env

* change kg env

* 啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊

* 我再也不搞各种乱七八糟环境了……

* use pytest

* Chang image

* upd

* fig edgebatch edges

* add test

* trigger

* Update README.md for pytorch PinSage example.

Add noting that the PinSage model example under
example/pytorch/recommendation only work with Python 3.6+
as its dataset loader depends on stanfordnlp package
which work only with Python 3.6+.

* Provid a frame agnostic API to test nn modules on both CPU and CUDA side.

1. make dgl.nn.xxx frame agnostic
2. make test.backend include dgl.nn modules
3. modify test_edge_softmax of test/mxnet/test_nn.py and
    test/pytorch/test_nn.py work on both CPU and GPU

* Fix style

* Delete unused code

* Make agnostic test only related to tests/backend

1. clear all agnostic related code in dgl.nn
2. make test_graph_conv agnostic to cpu/gpu

* Fix code style

* fix

* doc

* Make all test code under tests.mxnet/pytorch.test_nn.py
work on both CPU and GPU.

* Fix syntex

* Remove rand

* Add TAGCN nn.module and example

* Now tagcn can run on CPU.

* Add unitest for TGConv

* Fix style

* For pubmed dataset, using --lr=0.005 can achieve better acc

* Fix style

* Fix some descriptions

* trigger

* Fix doc

* Add nn.TGConv and example

* Fix bug

* Update data in mxnet.tagcn test acc.

* Fix some comments and code

* delete useless code

* Fix namming

* Fix bug

* Fix bug

* Add test for mxnet TAGCov

* Add test code for mxnet TAGCov

* Update some docs

* Fix some code

* Update docs dgl.nn.mxnet

* Update weight init

* Fix

* reproduce the bug

* Fix concurrency bug reported at #755.
Also make test_shared_mem_store.py more deterministic.

* Update test_shared_mem_store.py

* Update dmlc/core

* Update Knowledge Graph CI with new Docker image

* Remove unused line_profierx

* Poke Jenkins

* Update test with exit code check and simplify docker

* Update Jenkinsfile to make app test a standalone stage

* Update kg_test

* Update Jenkinsfile

* Make some KG test parallel

* Update

* KG MXNet does not support ComplEx

* Update Jenkinsfile

* Update Jenkins file

* Change torch-1.2 to torch-1.2-cu92

* ci

* Update ubuntu_install_mxnet_cpu.sh

* Update ubuntu_install_mxnet_gpu.sh

* We only need to test train and eval script.
Delete some test code

* upd

* fig edgebatch edges

* add test

* trigger

* Update README.md for pytorch PinSage example.

Add noting that the PinSage model example under
example/pytorch/recommendation only work with Python 3.6+
as its dataset loader depends on stanfordnlp package
which work only with Python 3.6+.

* Provid a frame agnostic API to test nn modules on both CPU and CUDA side.

1. make dgl.nn.xxx frame agnostic
2. make test.backend include dgl.nn modules
3. modify test_edge_softmax of test/mxnet/test_nn.py and
    test/pytorch/test_nn.py work on both CPU and GPU

* Fix style

* Delete unused code

* Make agnostic test only related to tests/backend

1. clear all agnostic related code in dgl.nn
2. make test_graph_conv agnostic to cpu/gpu

* Fix code style

* fix

* doc

* Make all test code under tests.mxnet/pytorch.test_nn.py
work on both CPU and GPU.

* Fix syntex

* Remove rand

* Add TAGCN nn.module and example

* Now tagcn can run on CPU.

* Add unitest for TGConv

* Fix style

* For pubmed dataset, using --lr=0.005 can achieve better acc

* Fix style

* Fix some descriptions

* trigger

* Fix doc

* Add nn.TGConv and example

* Fix bug

* Update data in mxnet.tagcn test acc.

* Fix some comments and code

* delete useless code

* Fix namming

* Fix bug

* Fix bug

* Add test for mxnet TAGCov

* Add test code for mxnet TAGCov

* Update some docs

* Fix some code

* Update docs dgl.nn.mxnet

* Update weight init

* Fix

* init version.

* change default value of regularization.

* avoid specifying adversarial_temperature

* use default eval_interval.

* remove original model.

* remove optimizer.

* set default value of num_proc

* set default value of log_interval.

* don't need to set neg_sample_size_valid.

* remove unused code.

* use uni_weight by default.

* unify model.

* rename model.

* remove unnecessary data sampler.

* remove the code for checkpoint.

* fix eval.

* raise exception in invalid arguments.

* remove RowAdagrad.

* remove unsupported score function for now.

* Fix bugs of kg
Update README

* Update Readme for mxnet distmult

* Update README.md

* Update README.md

* revert changes on dmlc

* add tests.

* update CI.

* add tests script.

* reorder tests in CI.

* measure performance.

* add results on wn18

* remove some code.

* rename the training script.

* new results on TransE.

* remove --train.

* add format.

* fix.

* use EdgeSubgraph.

* create PBGNegEdgeSubgraph to simplify the code.

* fix test

* fix CI.

* run nose for unit tests.

* remove unused code in dataset.

* change argument to save embeddings.

* test training and eval scripts in CI.

* check Pytorch version.

* fix a minor problem in config.

* fix a minor bug.

* fix readme.

* Update README.md

* Update README.md

* Update README.md

* Add serialization

* add serialization

* add serialization

* lalalalalalalala

* lalalalalalalala

* serialize

* serialize

* nnn

* WIP: import tvm runtime node system

* WIP: object system

* containers

* tested basic container composition

* tested custom object

* tmp

* fix setattr bug

* tested object container return

* fix lint

* some comments about get/set state

* fix lint

* fix lint

* update cython

* fix cython

* ffi doc

* fix doc

* WIP: using object system for graph

* c++ side refactoring done; compiled

* remove stale apis

* fix bug in DGLGraphCreate; passed test_graph.py

* fix bug in python modify; passed utest for pytorch/cpu

* fix lint

* Add serialization

* Add serialization

* fix

* fix typo

* serialize with new ffi

* commit

* commit

* commit

* save

* save

* save

* save

* commit

* clean

* Delete tt2.py

* fix lint

* Add serialization

* fix lint 2

* fix lint

* fix lint

* fix lint

* fix lint

* Fix Lint

* Add serialization

* Change to Macro

* fix

* fix

* fix bugs

* refactor

* refactor

* updating dmlc-core to include force flag

* trying tempfile

* delete leaked pointer

* Fix assert

* fix assert

* add comment and test case

* add graph labels

* add load labels

* lint

* lint

* add graph labels

* lint

*  fix windows

* fix

* update dmlc-core to latest

* fix

* fix camel naming