239142b993
update version
2020-04-07 14:22:13 +08:00
ff244df0ea
post-release
2020-04-06 22:31:51 +08:00
e1d90f9b5e
update version
2020-03-30 16:21:04 +00:00
4a281ff3e6
Merge branch 'master' into 0.4.x
2020-03-30 16:14:14 +00:00
e9440acb06
[TF] TF backend fix and new logic to choose backend ( #1393 )
...
* TF backend fix and new logic to choose backend
* fix
* fix
* fix
* fix
* fix backend
* fix
* dlpack alignment
* add flag
* flag
* lint
* lint
* remove unused
* several fixes
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2020-03-30 18:45:17 +08:00
ce6e19f233
[Bugfix] Allows node types with no inbound/outbound edges ( #1323 )
...
* add num nodes in ctors
* fix
* lint
* addresses comments
* replace with constexpr
* remove function with rvalue reference
* address comments
2020-03-08 01:11:44 +08:00
9caff61777
[Feature] More serialization support ( #1295 )
...
* fix script
* t
* fix weird bugs
* fix
* fix
* upload
* fix
* fix
* lint
* fix
* tmp
* fix serialization
* fix
* fix lint
* fix message
* fix
* lint
* address comment
* fix
* lint
* fix
* fix
* fix
* Remove duplicate serialization for meta graph
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2020-03-06 21:38:56 +08:00
5dd35580f7
[Feature] Improve sampling speed; Better pickle/unpickle; other fixes ( #1299 )
...
* improve performance of sample_neighbors
* some more improve
* test script
* benchmarks
* multi process
* update more tests
* WIP
* adding two API for state saving
* add create from state
* upd test
* missing file
* wip: pickle/unpickle
* more c apis
* find the problem of empty data array
* add null array; pickling speed is bad
* still bad perf
* still bad perf
* wip
* fix the pickle speed test; now everything looks good
* minor fix
* bugfix
* some lint fix
* address comments
* more fix
* fix lint
* add utest for random.choice
* add utest for dgl.rand_graph
* fix cpp utests
* try fix ci
* fix bug in TF backend
* upd choice docstring
* address comments
* upd
* try fix compile
* add comment
2020-03-02 23:16:05 +08:00
ebca1188a9
[Feature] Support serialization for smart pointer ( #1291 )
...
* fix script
* t
* fix weird bugs
* fix
* fix
* upload
* fix
* fix
* lint
* fix
2020-02-26 17:29:27 +08:00
f8d4264e5b
[Feature] Neighbor-hood based sampling APIs ( #1251 )
...
* WIP: working on random choices
* light slice
* basic CPU impl
* add python binding; fix CreateFromCOO and CreateFromCSR returning unitgraph
* simple test case works
* fix bug in slicing probability array
* fix bug in getting the correct relation graph
* fix bug in creating placeholder graph
* enable omp
* add cpp test
* sample topk
* add in|out_subgraph
* try fix lint; passed all unittests
* fix lint
* fix msvc compile; add sorted flag and constructors
* fix msvc
* coosort
* COOSort; CSRRowWiseSampling; CSRRowWiseTopk
* WIP: remove DType in CSR and COO; Restrict data array to be IdArray
* fix all CSR ops for missing data array
* compiled
* passed tests
* lint
* test sampling out edge
* test different per-relation fanout/k values
* fix bug in random choice
* finished cpptest
* fix compile
* Add induced edges
* add check
* fixed bug in sampling on hypersparse graph; add tests
* add ascending flag
* in|out_subgraph returns subgraph and induced eid
* address comments
* lint
* fix
2020-02-17 21:25:21 +08:00
f103bbf9ee
[Data format] Serialization for UnitGraph ( #1242 )
...
* graph format
* fix lint
* lint
* fix
* unit test
* lint
* add magic num
* move serialize out of struct
* lint
Co-authored-by: zhoujinjing09 <zhoujinjing09@users.noreply.github.com >
2020-02-08 20:49:34 +08:00
a9dabcc769
[Feature] Random Walk for 0.5 ( #1209 )
...
* trying to refactor IndexSelect
* partial implementation
* add index select and assign for floats as well
* move to random choice source
* more updates
* fixes
* fixes
* more fixes
* adding python impl
* fixes
* unit test
* lint
* lint x2
* lint x3
* update metapath2vec
* debugging performance
* still debugging for performance
* tuning
* switching to succvec
* redo
* revert non-uniform sampler to use vector
* still not fast
* why does this crash with OpenMP???
* because there was a data race!!!
* add documentations and remove assign op
* lint
* lint x2
* lol what have i done
* lint x3
* fix and disable gpu testing
* bugfix
* generic random walk
* reorg the random walk source code
* Update randomwalks.h
* Update randomwalks_cpu.cc
* rename file
* move internal function to anonymous ns
* reorg & docstrings
* constant restart probability
* docstring fix
* more commit
* random walk with restart, tested
* some fixes
* switch to using NDArray for choice
* massive fix & docstring
* lint x?
* lint x??
* fix
* export symbols
* skip gpu test
* addresses comments
* replaces another VecToIdArray
* add randomwalks.h to include
* replace void * with template
2020-01-31 19:52:08 +08:00
55e056fbae
update to 0.4.2
2020-01-20 17:35:24 +08:00
263656f893
bump to 0.4.1
2019-11-04 11:06:05 +08:00
54e1ef2e06
[Fix] Fix serialize NDArray when shape is 0 ( #884 )
...
* fix
* fix bugs
2019-09-28 19:21:38 +08:00
9b4d60799a
[Hetero] New syntax ( #824 )
...
* WIP. remove graph arg in NodeBatch and EdgeBatch
* refactor: use graph adapter for scheduler
* WIP: recv
* draft impl
* stuck at bipartite
* bipartite->unitgraph; support dsttype == srctype
* pass test_query
* pass test_query
* pass test_view
* test apply
* pass udf message passing tests
* pass quan's test using builtins
* WIP: wildcard slicing
* new construct methods
* broken
* good
* add stack cross reducer
* fix bug; fix mx
* fix bug in csrmm2 when the CSR is not square
* lint
* removed FlattenedHeteroGraph class
* WIP
* prop nodes, prop edges, filter nodes/edges
* add DGLGraph tests to heterograph. Fix several bugs
* finish nx<->hetero graph conversion
* create bipartite from nx
* more spec on hetero/homo conversion
* silly fixes
* check node and edge types
* repr
* to api
* adj APIs
* inc
* fix some lints and bugs
* fix some lints
* hetero/homo conversion
* fix flatten test
* more spec in hetero_from_homo and test
* flatten using concat names
* WIP: creators
* rewrite hetero_from_homo in a more efficient way
* remove useless variables
* fix lint
* subgraphs and typed subgraphs
* lint & removed heterosubgraph class
* lint x2
* disable heterograph mutation test
* docstring update
* add edge id for nx graph test
* fix mx unittests
* fix bug
* try fix
* fix unittest when cross_reducer is stack
* fix ci
* fix nx bipartite bug; docstring
* fix scipy creation bug
* lint
* fix bug when converting heterograph from homograph
* fix bug in hetero_from_homo about ntype order
* trailing white
* docstring fixes for add_foo and data views
* docstring for relation slice
* to_hetero and to_homo with feature support
* lint
* lint
* DGLGraph compatibility
* incidence matrix & docstring fixes
* example string fixes
* feature in hetero_from_relations
* deduplication of edge types in to_hetero
* fix lint
* fix
2019-09-17 15:41:57 -04:00
0fb13f7b9d
[Feature] Data format ( #728 )
...
* 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
2019-09-09 20:57:51 +08:00
fd3d54ba98
bump up version for prerelease ( #768 )
2019-08-16 10:32:54 +08:00
67dc11971f
[Refactor] Use object system for all CAPIs ( #716 )
...
* 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
* address comments
2019-07-23 12:47:05 -04:00
b0d9e7aa43
[Refactor] Separating graph and sparse matrix operations ( #699 )
...
* 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
2019-07-17 17:49:38 -04:00
90e78c5854
[FFI] FFI container support, custom structure extension via Object ( #693 )
...
* WIP: import tvm runtime node system
* WIP: object system
* containers
* tested basic container composition
* tested custom object
* 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
2019-07-01 14:40:07 -04:00
059b1a6d6f
[Release] Bump up version ( #636 )
...
* bump up version
* conda+cuda trial
* switch conda branch
* revert
* disable cudnn
2019-06-12 16:50:05 +08:00
653428bdc7
[Feature][Kernel] DGL kernel support ( #596 )
...
* [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
2019-06-06 15:47:55 -04:00
605b51857e
[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
2019-05-21 14:28:06 -04:00
bfdd1eaa44
[Feature] Create shared memory graph store. ( #468 )
...
* 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.
2019-04-08 12:09:02 -07:00
6066fee935
[Model][Feature] PinSage & Random Walk with Restart ( #453 )
...
* 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
2019-03-29 13:01:18 +08:00
cd4f0a2bfc
[Release] update version ( #440 )
...
* update version
* update news
2019-03-08 11:12:16 -05:00
2e1cbd5d68
[Feature] Random walk traces generation ( #392 )
...
* random walk traces generation
* remove outdated comments
* oops put in the wrong place
* explicit inline
* moving rand_r to util
* moving random walk to public function
* per-thread seed and openmp support
* type cast styles
2019-02-20 10:41:59 -05:00
af23c45726
[Release] update version ( #297 )
...
* update version; add news.md; modify contributing.md
* change urls to dmlc
2018-12-11 15:40:51 -05:00
37feb479fd
[Release] 0.1.2 updates ( #276 )
...
* 0.1.2 release
* oops
* more fixes on windows
* [Bugfix] fix download dir (#275 )
* fix download dir
* add doc for the env var
2018-12-07 01:54:13 -05:00
c620bfc2b7
[Doc] faq & env ( #263 )
...
* faq & env
* add update version script; 0.0.1 -> 0.1.0
2018-12-05 19:18:33 -05:00
a1d50f0f53
[Refactor] Rename before release ( #261 )
...
* include/dgl/runtime
* include
* src/runtime
* src/graph
* src/scheduler
* src
* clean up CMakeLists
* further clean up in cmake
* install commands
* python/dgl/_ffi/_cython
* python/dgl/_ffi/_ctypes
* python/dgl/_ffi
* python/dgl
* some fix
* copy right
2018-12-05 16:45:36 -05:00
820c6b9ed6
Add lint script and fix cpplint errors
2018-10-18 22:44:29 -04:00
7603b8c351
Fix dlpack bug; zero copy between dgl.ndarray and user tensor enabled
2018-10-09 11:37:59 -04:00
deb8a5a592
WIP: graph interface
2018-09-07 20:40:07 -04:00
2694b12725
import ffi solution from TVM
2018-09-05 10:51:31 -04:00
Quan Gan