GitLab

* WIP: array refactoring

* WIP: implementation

* wip

* most csr part

* WIP: on coo

* WIP: coo

* finish refactoring immutable graph

* compiled

* fix undefined ndarray copy bug; add COOToCSR when coo has no data array

* fix bug in COOToCSR

* fix bug in CSR constructor

* fix bug in in_edges(vid)

* fix OutEdges bug

* pass test_graph

* pass test_graph

* fix bug in CSR constructor

* fix bug in CSR constructor

* fix bug in CSR constructor

* fix stupid bug

* pass gpu test

* remove debug printout

* fix lint

* rm biparate grpah

* fix lint

* address comments

* fix bug in Clone

* cpp utests

* to_bidirected

* to_bidirected

* Fix style

* Fix

* Update

* Fix

* Fix

* Update

* Add examples

* add tests.

* distinguish layer-local nid and nodeflow nid.

* use numpy assert_array_equal and assert_allclose

* fix map_from_parent_nid

* fix test

* fix test.

* renmae remap.

* update doc.

* update doc.

* update doc.

* fix test.

* fix test.

* all pytorch examples

* scan through mxnet examples

* change reddit data

* tweak numerical range for unittest

* fix ci

* fix ci

* fix

* add seed to workaround

* fix gat code to use latest edge softmax module

* avoid transpose

* update README

* use edge_softmax op

* mxnet edge softmax op

* mxnet gat

* update README

* fix unittest

* fix ci

* fix mxnet nn test; relax criteria for prod reducer

* add graph_to

* use backend copy_to

* add test

* fix test

* framework agnostic to() test

* disable pylint complaint

* add examples

* fix docstring

* formatting

* Format

* Update test_to_device.py

* upd

* upd

* reformat

* upd

* upd

* add test

* fix arange

* fix slight bug

* upd

* trigger

* upd docs

* upd

* upd

* upd

* change subgraph to be raw data wrapper

* upd

* fix test

* fix.

* add comments.

* handle negative layer id and block id.

* add tests.

* fix.

* fix.

Essentially a redo of PR #612 which is erased by git merge somehow.

* fix sampler.

* update doc.

* fix.

* [Kernel] Minigun integration and fused kernel support (#519)

* kernel interface

* add minigun

* Add cuda build

* functors

* working on binary elewise

* binary reduce

* change kernel interface

* WIP

* wip

* fix minigun

* compile

* binary reduce kernels

* compile

* simple test passed

* more reducers

* fix thrust problem

* fix cmake

* fix cmake; add proper guard for atomic

* WIP: bcast

* WIP

* bcast kernels

* update to new minigun pass-by-value practice

* broadcasting dim

* add copy src and copy edge

* fix linking

* fix none array problem

* fix copy edge

* add device_type and device_id to backend operator

* cache csr adj, remove cache for adjmat and incmat

* custom ops in backend and pytorch impl

* change dgl-mg kernel python interface

* add id_mapping var

* clean up plus v2e spmv schedule

* spmv schedule & clean up fall back

* symbolic message and reduce func, remove bundle func

* new executors

* new backend interface for dgl kernels and pytorch impl

* minor fix

* fix

* fix docstring, comments, func names

* nodeflow

* fix message id mapping and bugs...

* pytorch test case & fix

* backward binary reduce

* fix bug

* WIP: cusparse

* change to int32 csr for cusparse workaround

* disable cusparse

* change back to int64

* broadcasting backward

* cusparse; WIP: add rev_csr

* unit test for kernels

* pytorch backward with dgl kernel

* edge softmax

* fix backward

* improve softmax

* cache edge on device

* cache mappings on device

* fix partial forward code

* cusparse done

* copy_src_sum with cusparse

* rm id getter

* reduce grad for broadcast

* copy edge reduce backward

* kernel unit test for broadcasting

* full kernel unit test

* add cpu kernels

* edge softmax unit test

* missing ref

* fix compile and small bugs

* fix bug in bcast

* Add backward both

* fix torch utests

* expose infershape

* create out tensor in python

* fix c++ lint

* [Kernel] Add GPU utest and kernel utest (#524)

* fix gpu utest

* cuda utest runnable

* temp disable test nodeflow; unified test for kernel

* cuda test kernel done

* [Kernel] Update kernel branch (#550)

* [Model] add multiprocessing training with sampling. (#484)

* reorganize sampling code.

* add multi-process training.

* speed up gcn_cv

* fix graphsage_cv.

* add new API in graph store.

* update barrier impl.

* support both local and distributed training.

* fix multiprocess train.

* fix.

* fix barrier.

* add script for loading data.

* multiprocessing sampling.

* accel training.

* replace pull with spmv for speedup.

* nodeflow copy from parent with context.

* enable GPU.

* fix a bug in graph store.

* enable multi-GPU training.

* fix lint.

* add comments.

* rename to run_store_server.py

* fix gcn_cv.

* fix a minor bug in sampler.

* handle error better in graph store.

* improve graphsage_cv for distributed mode.

* update README.

* fix.

* update.

* [Tutorial] add sampling tutorial. (#522)

* add sampling tutorial.

* add readme

* update author list.

* fix indent in the code.

* rename the file.

* update tutorial.

* fix the last API.

* update image.

* [BUGFIX] fix the problems in the sampling tutorial. (#523)

* add index.

* update.

* update tutorial.

* fix gpu utest

* cuda utest runnable

* temp disable test nodeflow; unified test for kernel

* cuda test kernel done

* Fixing typo in JTNN after interface change (#536)

* [BugFix] Fix getting src and dst id of ALL edges in NodeFlow.apply_block (#515)

* [Bug Fix] Fix inplace op at backend (#546)

* Fix inplace operation

* fix line seprator

* [Feature] Add batch and unbatch for immutable graph (#539)

* Add batch and unbatch for immutable graph

* fix line seprator

* fix lintr

* remove unnecessary include

* fix code review

* [BUGFix] Improve multi-processing training (#526)

* fix.

* add comment.

* remove.

* temp fix.

* initialize for shared memory.

* fix graphsage.

* fix gcn.

* add more unit tests.

* add more tests.

* avoid creating shared-memory exclusively.

* redefine remote initializer.

* improve initializer.

* fix unit test.

* fix lint.

* fix lint.

* initialize data in the graph store server properly.

* fix test.

* fix test.

* fix test.

* small fix.

* add comments.

* cleanup server.

* test graph store with a random port.

* print.

* print to stderr.

* test1

* test2

* remove comment.

* adjust the initializer signature.

* [API] update graph store API. (#549)

* add init_ndata and init_edata in DGLGraph.

* adjust SharedMemoryGraph API.

* print warning.

* fix comment.

* update example

* fix.

* fix examples.

* add unit tests.

* add comments.

* [Refactor] Immutable graph index (#543)

* WIP

* header

* WIP .cc

* WIP

* transpose

* wip

* immutable graph .h and .cc

* WIP: nodeflow.cc

* compile

* remove all tmp dl managed ctx; they caused refcount issue

* one simple test

* WIP: testing

* test_graph

* fix graph index

* fix bug in sampler; pass pytorch utest

* WIP on mxnet

* fix lint

* fix mxnet unittest w/ unfortunate workaround

* fix msvc

* fix lint

* SliceRows and test_nodeflow

* resolve reviews

* resolve reviews

* try fix win ci

* try fix win ci

* poke win ci again

* poke

* lazy multigraph flag; stackoverflow error

* revert node subgraph test

* lazy object

* try fix win build

* try fix win build

* poke ci

* fix build script

* fix compile

* add a todo

* fix reviews

* fix compile

* [Kernel] Update kernel branch (#576)

* [Model] add multiprocessing training with sampling. (#484)

* reorganize sampling code.

* add multi-process training.

* speed up gcn_cv

* fix graphsage_cv.

* add new API in graph store.

* update barrier impl.

* support both local and distributed training.

* fix multiprocess train.

* fix.

* fix barrier.

* add script for loading data.

* multiprocessing sampling.

* accel training.

* replace pull with spmv for speedup.

* nodeflow copy from parent with context.

* enable GPU.

* fix a bug in graph store.

* enable multi-GPU training.

* fix lint.

* add comments.

* rename to run_store_server.py

* fix gcn_cv.

* fix a minor bug in sampler.

* handle error better in graph store.

* improve graphsage_cv for distributed mode.

* update README.

* fix.

* update.

* [Tutorial] add sampling tutorial. (#522)

* add sampling tutorial.

* add readme

* update author list.

* fix indent in the code.

* rename the file.

* update tutorial.

* fix the last API.

* update image.

* [BUGFIX] fix the problems in the sampling tutorial. (#523)

* add index.

* update.

* update tutorial.

* fix gpu utest

* cuda utest runnable

* temp disable test nodeflow; unified test for kernel

* cuda test kernel done

* Fixing typo in JTNN after interface change (#536)

* [BugFix] Fix getting src and dst id of ALL edges in NodeFlow.apply_block (#515)

* [Bug Fix] Fix inplace op at backend (#546)

* Fix inplace operation

* fix line seprator

* [Feature] Add batch and unbatch for immutable graph (#539)

* Add batch and unbatch for immutable graph

* fix line seprator

* fix lintr

* remove unnecessary include

* fix code review

* [BUGFix] Improve multi-processing training (#526)

* fix.

* add comment.

* remove.

* temp fix.

* initialize for shared memory.

* fix graphsage.

* fix gcn.

* add more unit tests.

* add more tests.

* avoid creating shared-memory exclusively.

* redefine remote initializer.

* improve initializer.

* fix unit test.

* fix lint.

* fix lint.

* initialize data in the graph store server properly.

* fix test.

* fix test.

* fix test.

* small fix.

* add comments.

* cleanup server.

* test graph store with a random port.

* print.

* print to stderr.

* test1

* test2

* remove comment.

* adjust the initializer signature.

* [API] update graph store API. (#549)

* add init_ndata and init_edata in DGLGraph.

* adjust SharedMemoryGraph API.

* print warning.

* fix comment.

* update example

* fix.

* fix examples.

* add unit tests.

* add comments.

* [Refactor] Immutable graph index (#543)

* WIP

* header

* WIP .cc

* WIP

* transpose

* wip

* immutable graph .h and .cc

* WIP: nodeflow.cc

* compile

* remove all tmp dl managed ctx; they caused refcount issue

* one simple test

* WIP: testing

* test_graph

* fix graph index

* fix bug in sampler; pass pytorch utest

* WIP on mxnet

* fix lint

* fix mxnet unittest w/ unfortunate workaround

* fix msvc

* fix lint

* SliceRows and test_nodeflow

* resolve reviews

* resolve reviews

* try fix win ci

* try fix win ci

* poke win ci again

* poke

* lazy multigraph flag; stackoverflow error

* revert node subgraph test

* lazy object

* try fix win build

* try fix win build

* poke ci

* fix build script

* fix compile

* add a todo

* fix reviews

* fix compile

* all demo use python-3 (#555)

* [DEMO] Reproduce numbers of distributed training in AMLC giant graph paper (#556)

* update

* update

* update

* update num_hops

* fix bug

* update

* report numbers of distributed training in AMLC giant graph paper

* [DEMO] Remove duplicate code for sampling (#557)

* update

* update

* re-use single-machine code

* update

* use relative path

* update

* update

* update

* add __init__.py

* add __init__.py

* import sys, os

* fix typo

* update

* [Perf] Improve performance of graph store. (#554)

* fix.

* use inplace.

* move to shared memory graph store.

* fix.

* add more unit tests.

* fix.

* fix test.

* fix test.

* disable test.

* fix.

* [BUGIFX] fix a bug in edge_ids (#560)

* add test.

* fix compute.

* fix test.

* turn on test.

* fix a bug.

* add test.

* fix.

* disable test.

* [DEMO] Add Pytorch demo for distributed sampler (#562)

* update

* update

* update

* add sender

* update

* remove duplicate cpde

* [Test] Add gtest to project (#547)

* add gtest module

* add gtest

* fix

* Update CMakeLists.txt

* Update README.md

* [Perf] lazily create msg_index. (#563)

* lazily create msg_index.

* update test.

* [BUGFIX] fix bugs for running GCN on giant graphs. (#561)

* load mxnet csr.

* enable load large csr.

* fix

* fix.

* fix int overflow.

* fix test.

* [BugFix] Fix error when bfs_level = 0 in Entity Classification with RGCN (#559)

* [DEMO] Update demo of distributed sampler (#564)

* update

* update

* update demo

* add network cpp test (#565)

* Add unittest for C++ RPC (#566)

* [CI] Fix CI for cpp test (#570)

* fix CI for cpp test

* update port number

* [Docker] update docker image (#575)

* update docker image

* specify lint version

* rm torch import from unified tests

* [Kernel][Scheduler][MXNet] Scheduler for DGL kernels and MXNet backend support (#541)

* [Model] add multiprocessing training with sampling. (#484)

* reorganize sampling code.

* add multi-process training.

* speed up gcn_cv

* fix graphsage_cv.

* add new API in graph store.

* update barrier impl.

* support both local and distributed training.

* fix multiprocess train.

* fix.

* fix barrier.

* add script for loading data.

* multiprocessing sampling.

* accel training.

* replace pull with spmv for speedup.

* nodeflow copy from parent with context.

* enable GPU.

* fix a bug in graph store.

* enable multi-GPU training.

* fix lint.

* add comments.

* rename to run_store_server.py

* fix gcn_cv.

* fix a minor bug in sampler.

* handle error better in graph store.

* improve graphsage_cv for distributed mode.

* update README.

* fix.

* update.

* [Tutorial] add sampling tutorial. (#522)

* add sampling tutorial.

* add readme

* update author list.

* fix indent in the code.

* rename the file.

* update tutorial.

* fix the last API.

* update image.

* [BUGFIX] fix the problems in the sampling tutorial. (#523)

* add index.

* update.

* update tutorial.

* fix gpu utest

* cuda utest runnable

* temp disable test nodeflow; unified test for kernel

* cuda test kernel done

* edge softmax module

* WIP

* Fixing typo in JTNN after interface change (#536)

* mxnet backend support

* improve reduce grad

* add max to unittest backend

* fix kernel unittest

* [BugFix] Fix getting src and dst id of ALL edges in NodeFlow.apply_block (#515)

* lint

* lint

* win build

* [Bug Fix] Fix inplace op at backend (#546)

* Fix inplace operation

* fix line seprator

* [Feature] Add batch and unbatch for immutable graph (#539)

* Add batch and unbatch for immutable graph

* fix line seprator

* fix lintr

* remove unnecessary include

* fix code review

* [BUGFix] Improve multi-processing training (#526)

* fix.

* add comment.

* remove.

* temp fix.

* initialize for shared memory.

* fix graphsage.

* fix gcn.

* add more unit tests.

* add more tests.

* avoid creating shared-memory exclusively.

* redefine remote initializer.

* improve initializer.

* fix unit test.

* fix lint.

* fix lint.

* initialize data in the graph store server properly.

* fix test.

* fix test.

* fix test.

* small fix.

* add comments.

* cleanup server.

* test graph store with a random port.

* print.

* print to stderr.

* test1

* test2

* remove comment.

* adjust the initializer signature.

* try

* fix

* fix

* fix

* fix

* fix

* try

* test

* test

* test

* try

* try

* try

* test

* fix

* try gen_target

* fix gen_target

* fix msvc var_args expand issue

* fix

* [API] update graph store API. (#549)

* add init_ndata and init_edata in DGLGraph.

* adjust SharedMemoryGraph API.

* print warning.

* fix comment.

* update example

* fix.

* fix examples.

* add unit tests.

* add comments.

* [Refactor] Immutable graph index (#543)

* WIP

* header

* WIP .cc

* WIP

* transpose

* wip

* immutable graph .h and .cc

* WIP: nodeflow.cc

* compile

* remove all tmp dl managed ctx; they caused refcount issue

* one simple test

* WIP: testing

* test_graph

* fix graph index

* fix bug in sampler; pass pytorch utest

* WIP on mxnet

* fix lint

* fix mxnet unittest w/ unfortunate workaround

* fix msvc

* fix lint

* SliceRows and test_nodeflow

* resolve reviews

* resolve reviews

* try fix win ci

* try fix win ci

* poke win ci again

* poke

* lazy multigraph flag; stackoverflow error

* revert node subgraph test

* lazy object

* try fix win build

* try fix win build

* poke ci

* fix build script

* fix compile

* add a todo

* fix reviews

* fix compile

* WIP

* WIP

* all demo use python-3 (#555)

* ToImmutable and CopyTo

* [DEMO] Reproduce numbers of distributed training in AMLC giant graph paper (#556)

* update

* update

* update

* update num_hops

* fix bug

* update

* report numbers of distributed training in AMLC giant graph paper

* [DEMO] Remove duplicate code for sampling (#557)

* update

* update

* re-use single-machine code

* update

* use relative path

* update

* update

* update

* add __init__.py

* add __init__.py

* import sys, os

* fix typo

* update

* [Perf] Improve performance of graph store. (#554)

* fix.

* use inplace.

* move to shared memory graph store.

* fix.

* add more unit tests.

* fix.

* fix test.

* fix test.

* disable test.

* fix.

* [BUGIFX] fix a bug in edge_ids (#560)

* add test.

* fix compute.

* fix test.

* turn on test.

* fix a bug.

* add test.

* fix.

* disable test.

* DGLRetValue DGLContext conversion

* [DEMO] Add Pytorch demo for distributed sampler (#562)

* update

* update

* update

* add sender

* update

* remove duplicate cpde

* [Test] Add gtest to project (#547)

* add gtest module

* add gtest

* fix

* Update CMakeLists.txt

* Update README.md

* Add support to convert immutable graph to 32 bits

* [Perf] lazily create msg_index. (#563)

* lazily create msg_index.

* update test.

* fix binary reduce following new minigun template

* enable both int64 and int32 kernels

* [BUGFIX] fix bugs for running GCN on giant graphs. (#561)

* load mxnet csr.

* enable load large csr.

* fix

* fix.

* fix int overflow.

* fix test.

* new kernel interface done for CPU

* docstring

* rename & docstring

* copy reduce and backward

* [BugFix] Fix error when bfs_level = 0 in Entity Classification with RGCN (#559)

* [DEMO] Update demo of distributed sampler (#564)

* update

* update

* update demo

* adapt cuda kernels to the new interface

* add network cpp test (#565)

* fix bug

* Add unittest for C++ RPC (#566)

* [CI] Fix CI for cpp test (#570)

* fix CI for cpp test

* update port number

* [Docker] update docker image (#575)

* update docker image

* specify lint version

* rm torch import from unified tests

* remove pytorch-specific test_function

* fix unittest

* fix

* fix unittest backend bug in converting tensor to numpy array

* fix

* mxnet version

* [BUGFIX] fix for MXNet 1.5. (#552)

* remove clone.

* turn on numpy compatible.

* Revert "remove clone."

This reverts commit 17bbf76ed72ff178df6b3f35addc428048672457.

* revert format changes

* fix mxnet api name

* revert mistakes in previous revert

* roll back CI to 20190523 build

* fix unittest

* disable test_shared_mem_store.py for now

* remove mxnet/test_specialization.py

* sync win64 test script

* fix lowercase

* missing backend in gpu unit test

* transpose to get forward graph

* pass update all

* add sanity check

* passing test_specialization.py

* fix and pass test_function

* fix check

* fix pytorch softmax

* mxnet kernels

* c++ lint

* pylint

* try

* win build

* fix

* win

* ci enable gpu build

* init submodule recursively

* backend docstring

* try

* test win dev

* doc string

* disable pytorch test_nn

* try to fix windows issue

* bug fixed, revert changes

* [Test] fix CI. (#586)

* disable unit test in mxnet tutorial.

* retry socket connection.

* roll back to set_np_compat

* try to fix multi-processing test hangs when it fails.

* fix test.

* fix.

* doc string

* doc string and clean up

* missing field in ctypes

* fix node flow schedule and unit test

* rename

* pylint

* copy from parent default context

* fix unit test script

* fix

* demo bug in nodeflow gpu test

* [Kernel][Bugfix] fix nodeflow bug (#604)

* fix nodeflow bug

* remove debug code

* add build gtest option

* fix cmake; fix graph index bug in spmv.py

* remove clone

* fix div rhs grad bug

* [Kernel] Support full builtin method, edge softmax and unit tests (#605)

* add full builtin support

* unit test

* unit test backend

* edge softmax

* apply edge with builtin

* fix kernel unit test

* disable mxnet test_shared_mem_store

* gen builtin reduce

* enable mxnet gpu unittest

* revert some changes

* docstring

* add note for the hack

* [Kernel][Unittest][CI] Fix MXNet GPU CI (#607)

* update docker image for MXNet GPU CI

* force all dgl graph input and output on CPU

* fix gpu unittest

* speedup compilation

* add some comments

* lint

* add more comments

* fix as requested

* add some comments

* comment

* lint

* lint

* update pylint

* fix as requested

* lint

* lint

* lint

* docstrings of python DGL kernel entries

* disable lint warnings on arguments in kernel.py

* fix docstring in scheduler

* fix some bug in unittest; try again

* Revert "Merge branch 'kernel' of github.com:zzhang-cn/dgl into kernel"

This reverts commit 1d2299e68b004182ea6130b088de1f1122b18a49, reversing
changes made to ddc97fbf1bec2b7815c0da7c74f7ecb2f428889b.

* Revert "fix some bug in unittest; try again"

This reverts commit ddc97fbf1bec2b7815c0da7c74f7ecb2f428889b.

* more comprehensive kernel test

* remove shape check in test_specialization

* [BugFix] Some negative layer_id/block_id are not converted to the actual one.

* Add some tests for negatives block/layer ids

* to simple

* WIP: multigraph flag

* graph index refactor; pass basic testing

* graph index refactor; pass basic testing

* fix bug in to_simple; pass torch test

* fix mx utest

* fix example

* fix lint

* fix ci

* poke ci

* poke ci

* WIP

* poke ci

* poke ci

* poke ci

* change ci workspace

* poke ci

* poke ci

* poke ci

* poke ci

* delete ci

* use enum for multigraph flag

* update docker image

* specify lint version

* rm torch import from unified tests

* load mxnet csr.

* enable load large csr.

* fix

* fix.

* fix int overflow.

* fix test.

* lazily create msg_index.

* update test.

* add test.

* fix compute.

* fix test.

* turn on test.

* fix a bug.

* add test.

* fix.

* disable test.

* WIP

* header

* WIP .cc

* WIP

* transpose

* wip

* immutable graph .h and .cc

* WIP: nodeflow.cc

* compile

* remove all tmp dl managed ctx; they caused refcount issue

* one simple test

* WIP: testing

* test_graph

* fix graph index

* fix bug in sampler; pass pytorch utest

* WIP on mxnet

* fix lint

* fix mxnet unittest w/ unfortunate workaround

* fix msvc

* fix lint

* SliceRows and test_nodeflow

* resolve reviews

* resolve reviews

* try fix win ci

* try fix win ci

* poke win ci again

* poke

* lazy multigraph flag; stackoverflow error

* revert node subgraph test

* lazy object

* try fix win build

* try fix win build

* poke ci

* fix build script

* fix compile

* add a todo

* fix reviews

* fix compile

* add init_ndata and init_edata in DGLGraph.

* adjust SharedMemoryGraph API.

* print warning.

* fix comment.

* update example

* fix.

* fix examples.

* add unit tests.

* add comments.

* Add batch and unbatch for immutable graph

* fix line seprator

* fix lintr

* remove unnecessary include

* fix code review

* Change Distributed Sampler API

* fix lint

* fix lint

* update demo

* update

* update

* update

* update demo

* update demo

* Refactoring network API

* update demo

* update

* update demo

* update demo

* add num_sender

* update

* fix lint

* fix lint

* fix lint

* update

* accelerate gcn_ns.

* add timing.

* run infer with whole graph.

* distributed gcn_ns.

* reconstruct gcn_ns.

* minor fix.

* change graphsage_cv for numa.

* fix #OMP threads.

* accelerate graphsage_cv.

* fix a weird bug.

* add profiler in graphsage_cv.

* accelerate graphsage_cv.

manually aggregate neighbors' embeddings with pull.

* load csr directly in gcn_ns_sc.

* parallel sort for graph index.

* Revert "parallel sort for graph index."

This reverts commit 86fe2c7117fe5e56b0d481b39849c258b166945b.

* run gcn_ns_sc on GPUs.

* acc gcn_cv_sc.

* change gcn_cv for numa.

* fix gcn_cv to use numa and gpu.

* improve graphsage_cv to use numa and gpu.

* improve gcn_ns.

* improve graphsage_cv.

* init shared memory graph store.

* fix.

* enable init ndata.

* improve tests.

* add bidirectional communication.

* link to rt.

* fix compilation error.

* fix shared memory init.

* use MessageQueue for inter-process communication.

* reconstruct immutable graph csr.

* fix gcn.

* load csr to shared memory.

* fix minor bugs.

* add comments.

* refactor SharedMemory.

* fix bugs in ImmutableGraph.

* create CSR graph from shared memory.

* add more test for loading a csr graph.

* terminate graph store properly.

* allow initializing ndata in the graph store server.

* use RPC for inter-process communication.

* a script for loading a graph.

* allow customizing port.

* list all ndata and edata.

* support dtype.

* reorganize SharedMemoryGraphStore.

* fix ndata shape.

* reconstruct gcn_ns.

* print info.

* set omp in gcn_ns.

* reset sampling examples.

* fix lint.

* fix lint.

* reset gcn.

* disable shared memory in windows.

* fix.

* fix.

* reset changes.

* revert nodeflow changes.

* fix cmake.

* fix test.

* fix test.

* fix test.

* fix test.

* add comments.

* fix test.

* move vector out.

* fix lint.

* fix lint.

* move SharedMemory.

* update cmake.

* update comment.

* fix comments.

* Revert "update cmake."

This reverts commit 592445e37077f70a6e3f2e5245f9a3d086b04f3b.

* update cmake.

* add comments.

* rename.

* change the comment.

* fix a bug.

* rename.

* add comments.

* add comments.

* add init_edata.

* rewrite memory alloc.

* move vector to CSR.

* fix.

* init data.

* Revert "init data."

This reverts commit 2b217b9553911b7dd84a9f1d9b68430b5aa18e23.

* init data.

* init new columns correctly.

* add C++ rpc infrastructure and distributed sampler

* update

* update lint

* update lint

* update lint

* update

* update

* update

* updare

* update

* update

* update

* update serialize and unittest

* update serialize

* lint

* update

* update

* update

* update

* update

* update

* update unittest

* put Finalize() to __del__

* update unittest

* update

* delete buffer in Finalize

* update unittest

* update unittest

* update unittest

* update unittest

* update

* update

* fix small bug

* windows socket impl

* update API

* fix bug in serialize

* fix bug in serialzie

* set parent graph

* update

* update

* update

* update

* update

* update

* fix lint

* fix lint

* fix

* fix windows compilation error

* fix windows error

* change API to lower-case

* update test

* fix typo

* update

* add SamplerPool

* add SamplerPool

* update

* update test

* update

* update

* update

* update

* add example

* update

* update

* random walk traces generation

* remove outdated comments

* oops put in the wrong place

* explicit inline

* moving rand_r to util

* pinsage-like model on movielens

* the code runs now

* support cuda

* using readonly graph

* moving random walk to public function

* per-thread seed and openmp support

* pinsage-like model on movielens

* the code runs now

* support cuda

* using readonly graph

* using C random walk

* removing profile decorators

* param initialization

* no grad

* leaky relu fixes everything

* train and save

* WIP

* WIP

* WIP

* seems to work

* evaluation output

* swapping order of val/test and train

* debug

* hyperparam tuning

* prior/training dataset split changes

* random walk reorg

* random walk with restart

* signed comparison fix

* migrating random walk to nodeflow

* Revert "migrating random walk to nodeflow"

This reverts commit f2565347cced7c912a58a529b257c033d9f375b7.

* add README and remove dataset

* new endpoint

* lint

* lint x2

* oops forgot test

* including bpr - better for baseline

* addressing fixes

* throwing random walks out from SamplerOp class

* forgot to move RandomWalk; why did this even work?

* removing legacy garbage

* add todo

* address comments

* stupid bug fix

* call ndarrayvector converter to handle traces

* fix bug in pickling

* fix lint

* fix send with builtin bug

* test cases

* remove todo comment

* fix rgcn tutorial

* small fix

* upd

* findedge/s

* upd

* upd

* upd

* upd

* add test

* remove redundancy

* upd

* upd

* upd

* upd

* add edge_subgraph

* explicit cast

* add test immutable subg

* reformat

* reformat

* fix bug

* upd

* hotfix

* subgraph docs

* fix adj mat

* fix edges() order

* add test

* revert

* upd

* fix

* upd

* refactor.

* accelerate update_all in nodeflow.

* fix.

* refactor.

* fix lint.

* fix lint.

* reorganize.

* reorg.

* remove.

* add doc.

* impl block_incidence_matrix

* fix lint.

* fix.

* simple fix.

* fix test.

* fix interface.

* fix eid.

* fix comments.

* enable cython

* add helper function and data structure for void_p vector return

* move sampler from graph index to contrib.sampling

* WIP

* WIP

* refactor layer sampling

* pass tests

* fix lint

* fix graphsage

* remove comments

* pickle test

* fix comments

* update dev guide for cython build

* migrate to node-flow

* uniform layer sampler test cases

* more test cases

* documentations

* fix lint errors

* fix lint errors

* fix lint errors

* iota

* add asnumpy

* requested changes

* fix indptr error

* fix lint errors

* requested changes & fix lint errors

* fix lint errors

* fix LayerSampler unit test

* don't return aux_info.

* fix sampler test.

* fix sse.

* fix.

* add comment.

* neighbor sampling draft

* val/test acc

* control variate draft

* control variate

* update

* fix new_history

* maintain aggregated history while updating new history

* preprocess the first layer, change push to pull

* update

* fix subg_degree

* nodeflow

* clear

* readme

* doc and unittest for self loop

* address comments

* rename

* update

* fix

* Update node_flow.py

* Update node_flow.py

* fix rgcn tutorial

* small fix

* upd

* findedge/s

* upd

* upd

* upd

* upd

* add test

* remove redundancy

* upd

* upd

* upd

* upd

* add edge_subgraph

* explicit cast

* add test immutable subg

* reformat

* reformat

* fix bug

* upd