ac5c79cdb8
[Bug] Fixes issues in feature pickling and transmission for subgraphs and blocks ( #2139 )
...
* bug fixes
* remove __deepcopy__; not sure what the behavior should be
* lint
* skip gpu test
* fix
* fix dist dataloader
* add comment
* remove assert
2020-09-03 12:48:59 +08:00
9088c63592
[Feature] Change the Default Value of transpose in DGLGraph.adj ( #2046 )
...
* Update adj
* Fix
2020-08-18 22:45:46 +08:00
be444e52d9
[Doc/Feature] Refactor, doc update and behavior fix for graphs ( #1983 )
...
* Update graph
* Fix for dgl.graph
* from_scipy
* Replace canonical_etypes with relations
* from_networkx
* Update for hetero_from_relations
* Roll back the change of canonical_etypes to relations
* heterograph
* bipartite
* Update doc
* Fix lint
* Fix lint
* Fix test cases
* Fix
* Fix
* Fix
* Fix
* Fix
* Fix
* Update
* Fix test
* Fix
* Update
* Use DGLError
* Update
* Update
* Update
* Update
* Fix
* Fix
* Fix
* Fix
* Fix
* Fix
* Fix
* Fix
* Update
* Fix
* Update
* Fix
* Fix
* Fix
* Update
* Fix
* Update
* Fix
* Update
* Update
* Update
* Update
* Update
* Update
* Update
* Fix
* Fix
* Update
* Update
* Update
* Update
* Update
* Update
* rewrite sanity checks
* delete unnecessary checks
* Update
* Update
* Update
* Update
* Update
* Update
* Update
* Update
* Fix
* Update
* Update
* Update
* Fix
* Fix
* Fix
* Update
* Fix
* Update
* Fix
* Fix
* Update
* Fix
* Update
* Fix
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com >
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
Co-authored-by: Quan Gan <coin2028@hotmail.com >
2020-08-18 04:26:29 +08:00
b8a4b446e5
[NN][Fix] fix some random test ( #2031 )
...
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2020-08-17 10:19:31 +08:00
4672c022a8
[hotfix] no in-degree check on sage ( #2014 )
...
* no degre check on sage
* fix pytest
* no in degree check for heteroconv
2020-08-13 13:11:55 +08:00
69f5869f3b
[Doc] NN doc refactor Conv Layers ( #1672 )
...
* go through gcn, relgcn
* fix tagconv formula
* fix doc in sageconv
* fix sgconv doc
* replace hat with tilde
* more comments on gmmconv
* fix agnnconv chebconv doc
* modify nnconv doc
* remove &
* add nn conv examples
* Rebase master
* More merge conflicts
* check homo
* add back self loop for some convs, check homo in tranform
* add example for denseconv
* add example and doc for dotgat and cfconv
* check in-degree for graphconv
* add language fix
* gconv address all comments
* another round of change based on api template
* change agnn
* go through agnn, appnp, atomic, cf, cheb, dense, gat, sage modules
* finish pytorch part of nn conv
* mxnet graphconv done
* tensorflow graphconv works
* add new modules into doc
* add comments to not split code
* refine doc
* resr
* more comments
* more fix
* finish conv and dense conv part api
* pylint fix
* fix pylink
* fix pylint
* more fix
* fix
* fix test fail because zere in degree
* fix test fail
* sage is not update for mxnet tf
Co-authored-by: Ubuntu <ubuntu@ip-172-31-0-81.us-east-2.compute.internal >
2020-08-12 18:47:19 +08:00
5e34ca8bb5
[Feature] Lazy copy ndata, edata to device ( #1986 )
...
* Lazy to device
* remove print
* lint
* Fix
* Fix
* Fix
* Fix
* Fix
* Fix
* Fix
* lint
* Fix
* Revert "Fix"
This reverts commit 615c9b8f80f5f6ee2ab43c849a22f0083deedf3b.
* Add test for frame lazy update
* disable tensorflow
* upd
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal >
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2020-08-12 13:04:47 +08:00
f5eb80d221
[Feature] Edge DataLoader for edge classification & link prediction ( #1828 )
...
* clean commit
* oops forgot the most important files
* use einsum
* copy feature from frontier to block
* Revert "copy feature from frontier to block"
This reverts commit 5224ec963eb6a3ef1b6ab74d8ecbd44e4e42f285.
* temp fix
* unit test
* fix
* revert jtnn
* lint
* fix win64
* docstring fixes and doc indexing
* revert einsum in sparse bidecoder
* fix some examples
* lint
* fix due to some tediousness in remove_edges
* addresses comments
* fix
* more jtnn fixes
* fix
2020-08-11 18:00:58 +08:00
18bfec24cf
[hotfix] Refactor edge softmax module ( #1967 )
...
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd
2020-08-07 23:50:12 +08:00
22167f7203
[Refactor] Enable new kernel in all message passing APIs ( #1953 )
...
* WIP: frame refactor
* new frame
* simple update_all builtin
* move all subgraph routines into the same file
* sddmm & spmm schedule; node & edge udf
* degree bucketing
* some tricky 0deg corner cases
* bug in frame append
* merge test_hetero_basics and test_basics
* some code rearange
* fix test_heterograph
* add mean spmm
* enable all builtin combinations
* pass gpu test
* pass pytorch tests
* wip
* fix some pt debugging codes
* fix bug in mxnet backward
* pass all mxnet utests
* passed tf tests
* docstring
* lint
* lint
* fix broadcasting bugs
* add warning and clamp for mean reducer
* add test for zero-degree mean
* address comments
* lint
* small fix
2020-08-07 15:40:25 +08:00
34a067eaa0
[bugfix] Fix the memory leak issue of Cluster GAT under 0.5 kernel and simplify the bipartite GAT. ( #1908 )
...
* uipd
* upd
* upd
* upd
* upd
2020-08-02 00:59:27 +08:00
44089c8b4d
[Refactor][Graph] Merge DGLGraph and DGLHeteroGraph ( #1862 )
...
* 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 >
2020-07-28 14:30:41 +08:00
ec2e24be6d
[Feature] Slice dstnode features in NN modules ( #1838 )
...
* slice dstdata from srcdata within nn module
* a bunch of fixes
* add comment
* fix gcmc layer
* repr for blocks
* fix
* fix context
* fix
* do not copy internal columns
* docstring
2020-07-25 21:57:49 +08:00
53fc639201
[Torch] Fix inter-process communication for PyTorch ( #1858 )
...
* fix
* add comment
2020-07-24 18:15:24 +08:00
f25b1a064d
[Feature] Autograd of gspmm and gsddmm on PyTorch/MXNet/Tensorflow ( #1680 )
...
* init
* reverse(by minjie
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* gpu
* upd
* upd
* upd
* upd
* udp
* upd
* upd
* imidiot
* fix
* upd
* upd
* upd
* udp
* upd
* upd
* fix
* udp
* upd
* upd
* upd
* upd
* upd
* fix
* remove redundency
* upd
* upd
* upd
* cache
* upd
* upd
* upd
* upd
* upd
* udp
* upd
* trigger
* upd
* fix
* upd
* unused import
* upd
* upd
2020-07-13 23:21:22 +08:00
fb9d213848
Fix SAGEConv ( #1792 )
2020-07-12 13:32:14 +08:00
168a88e570
[Sampling] NodeDataLoader for node classification ( #1635 )
...
* 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 >
2020-07-02 16:31:05 +08:00
2f983abe64
fix knn graph bugs ( #1716 )
2020-06-28 17:31:38 +08:00
b6c4deb4e9
[NN] ChebConv update ( #1460 )
...
* New version for the convolutional layer
* Minor changes
* Minor changes
* Update python/dgl/nn/pytorch/conv/chebconv.py
Co-authored-by: Zihao Ye <zihaoye.cs@gmail.com >
* Resolved variable miss-naming, import simplifying and raising warning
* Added dg_warnings instead of warnings.warn
* add doc
* upd
* upd
Co-authored-by: Zihao Ye <zihaoye.cs@gmail.com >
Co-authored-by: yzh119 <expye@outlook.com >
2020-06-24 15:59:44 +08:00
3d47693b1f
[Op] Farthest Point Sampler in Cpp and CUDA ( #1630 )
...
* working framework without actual algorithm logic
* rename
* fix
* fps passes compilation
* correct algorithm
* add cuda implementation
* update random start
* before refactor
* pass compilation but cuda not working
* working
* code working, will add docstring
* add mxnet support
* update docstring
* update doc and test
* cpplint
* cpcplint
* pylint
* temporary fix
* fix for win64
* fix unitetest
* fix
* fix
* remove comment
* move to geometry package
* remove redundant include
* add docstrings and comments
* add proof
* add validity check
2020-06-22 00:52:20 +08:00
61f007c43b
[NN] Add low memory support for nn.RelGraphConv ( #1631 )
...
* Add low memory support for relgraphconv
y
* lint
* Add tf support
* Fix lint
* Fix mxnet
* Fix mxnet
* Fix
* minor fix
* Fix
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal >
2020-06-15 13:49:11 +08:00
af61e2fbb4
[Feature] Support nn modules for bipartite graphs. ( #1392 )
...
* init gat
* fix
* gin
* 7 nn modules
* rename & lint
* upd
* upd
* fix lint
* upd test
* upd
* lint
* shape check
* upd
* lint
* address comments
* update tensorflow
Co-authored-by: Quan Gan <coin2028@hotmail.com >
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2020-03-29 16:48:38 +08:00
3efb5d8ecf
[NN] Add HeteroGraphConv module for cleaner module definition ( #1385 )
...
* Add HeteroGraphConv
* add custom aggregator; some docstring
* debugging
* rm print
* fix some acc bugs
* fix initialization problem in weight basis
* passed tests
* lint
* fix graphconv flag; add error message
* add mxnet heteroconv
* more fix for mx
* lint
* fix torch cuda test
* fix mx test_nn
* add exhaust test for graphconv
* add tf heteroconv
* fix comment
2020-03-27 18:47:06 +08:00
4af02022b2
[Bug] Multiple fixes ( #1374 )
...
* multiple fixes
* lint
* lint x2
2020-03-19 11:19:44 +08:00
a9520f71ce
[Model][Sampler] GraphSAGE model, bipartite graph conversion & remove edges API ( #1297 )
...
* remove edge and to bipartite and graphsage with sampling
* fixes
* fixes
* fixes
* reenable multigpu training
* fixes
* compatibility in DGLGraph
* rename to compact_as_bipartite
* bugfix
* lint
* add offline inference
* skip GPU tests
* fix
* addresses comments
* fix
* fix
* fix
* more tests
* more docs and unit tests
* workaround for empty slice on empty data
2020-03-08 02:38:29 +08:00
93ac29ce34
[Refactor] Unify DGLGraph, BatchedDGLGraph and DGLSubGraph ( #1216 )
...
* upd
* upd
* upd
* lint
* fix
* fix test
* fix
* fix
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd tutorial
* upd
* upd
* fix kg
* upd doc organization
* refresh test
* upd
* refactor doc
* fix lint
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu >
2020-03-05 18:03:57 +08:00
828a5e5bc6
[DGL-LifeSci] Migration and Refactor ( #1226 )
...
* First commit
* Update
* Update splitters
* Update
* Update
* Update
* Update
* Update
* Update
* Migrate ACNN
* Fix
* Fix
* Update
* Update
* Update
* Update
* Update
* Update
* Finish classification
* Update
* Fix
* Update
* Update
* Update
* Fix
* Fix
* Fix
* Update
* Update
* Update
* trigger CI
* Fix CI
* Update
* Update
* Update
* Add default values
* Rename
* Update deprecation message
2020-02-04 01:38:09 +08:00
ca302a13ac
[Feature] Add dgl.nn.*.Sequential for usability ( #1166 )
...
* upd
* upd
* upd
* upd
* lint
* upd
* upd
* upd
* upd
Co-authored-by: VoVAllen <VoVAllen@users.noreply.github.com >
2020-01-09 12:39:22 +08:00
4f02bb751b
[KVStore] Made kvstore can support multiple NICs ( #1150 )
...
* API change of kvstore
* add demo for kvstore
* update
* remove duplicated log
* change queue size
* update
* update
* update
* update
* update
* update
* update
* update
* update
* fix lint
* change name
* update
* fix lint
* update
* update
* update
* update
* change message queue size to a python argument
* change default queue size to 2GB
* OMP_NUM_THREADS=1
* add multiple NICs support for kvstore
* test
* fix lint
* update
* update
* update
* update
* update
* update
* update
* fix lint
* fix lint
* update
* update
* update
* update
2019-12-30 15:17:31 +08:00
dd65ee211e
[CI] Change tests for flexibility
...
* change ci image
* fix
* force bash
* fix
* fix python version
* fix
* fix
* fix
* update gpu
* cuda
* jenkins
* fix build sh
* fix
* Revert "fix"
This reverts commit 6b091914b3ef6b4300fa662ee375aa4b27944f5c.
* try fix
* fix
* Revert "fix"
This reverts commit e42c3035fa4974c6b197aaba0748f7b45113ddaa.
* try fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix tests
* try fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix ctx problem
* fix many tests
* fix typo
* add backend
* move to pytorch folder
* fix?
* fix ci
* try skip
* try false
* try?
* try?
* Revert to 7d9a52f
* fix various
* fix lint
* Revert Jenkinsfile
* revert env
* revert env
* address comment
* remove file
2019-12-16 14:54:37 +08:00
9a0511c8e9
[NN] nn modules & examples update ( #890 )
...
* upd
* damn it
* fuck
* fuck pylint
* fudge
* remove some comments about MXNet
* upd
* upd
* damn it
* damn it
* fuck
* fuck
* upd
* upd
* pylint bastard
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd
2019-11-03 17:29:42 -05:00
6a4b5ae98a
[Feature] Edge softmax on a subset of edges in the graph. ( #842 )
...
* upd
* add test
* fix
* upd
* merge
* hotfix
* upd
* fix
2019-09-09 13:44:56 +08:00
e17add5602
[NN] Add MXNet impl for TAGCN module. ( #799 )
...
* 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 code for mxnet TAGCov
* Update some docs
* Fix some code
* Update docs dgl.nn.mxnet
* Update weight init
* Fix
2019-08-28 13:19:17 +08:00
9314aabd1f
[Refactor] Interface of nn modules ( #798 )
...
* refactor
* upd mpnn
2019-08-27 22:29:25 +08:00
650f6ee1e0
[NN] Add commonly used GNN models from examples to dgl.nn modules. ( #748 )
...
* gat
* upd
* upd sage
* upd
* upd
* upd
* upd
* upd
* add gmmconv
* upd ggnn
* upd
* upd
* upd
* upd
* add citation examples
* add README
* fix cheb
* improve doc
* formula
* upd
* trigger
* lint
* lint
* upd
* add test for transform
* add test
* check
* upd
* improve doc
* shape check
* upd
* densechebconv, currently not correct (?)
* fix cheb
* fix
* upd
* upd sgc-reddit
* upd
* trigger
2019-08-27 18:21:19 +08:00
11fb217a76
[NN] Add TAGCN nn.module and example ( #788 )
...
* 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
2019-08-25 22:17:46 +08:00
708765f0a1
[NN] RGCN modules ( #744 )
...
* rgcn module
* support id input
* WIP: model codes
* use faster index select
* dropout
* self loop
* WIP: link prediction
* fix lint
* WIP: docs
* docstring
* docstring
* merge two child classes
* mxnet rgcn module
* fix lint
* fix lint
* fix rename bug
* add uniform edge sampler
* fix fn name
* docstring
* fix mxnet rgcn module
* fix mx rgcn
* enable test on cuda
2019-08-23 16:38:48 -04:00
2bff8339dd
[Test] Provid a frame agnostic API to test nn modules on both CPU and CUDA side. ( #775 )
...
* 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
2019-08-21 16:40:41 +08:00
5d3f470b72
[Feature] DGL Pooling modules ( #669 )
...
* removal doc
* glob
* upd
* rm knn
* add softmax
* upd
* upd
* add broadcast and s2s
* optimize max_on
* forsaken changes to heterograph
* upd
* upd
* upd
* upd
* upd
* bugfix
* upd
* upd
* upd
* upd
* format upd
* upd format
* upd doc
* upd
* import order
* upd
* rm warnings
* fix
* upd test
* upd
* upd
* fix device
* upd
* upd
* upd
* upd
* remove 1.1
* upd
* trigger
* trigger
* add more tests
* fix device
* upd
* upd
* refactor
* fix?
* fix
* upd docstring
* refactor
* upd
* fix
* upd
* upd
* upd
* fix
* upd docs
* add shape
* refactor & upd doc
* upd doc
* upd
2019-08-06 01:43:25 +08:00
fc9d30fae4
[Graph] add local scope function ( #735 )
...
* add local scope function
* fix lint
* fix docstring
* change local_scope to local_var; add context manager
* address comments
2019-08-02 00:11:48 -04:00
8ecedfb369
[Fix] Bugfix in docs and check gradient of edge_softmax in test ( #686 )
...
* upd
* Add stronger test
* Update test_nn.py
* Update test_nn.py
* trigger
* trigger
* trigger
2019-06-27 00:43:26 +08:00
74e13eea61
[Model] Update GAT model code ( #622 )
...
* 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
2019-06-08 21:41:38 -04:00
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
33b9c38389
[Bugfix] fix bug in pickling ( #456 )
...
* fix bug in pickling
* fix lint
2019-03-18 23:48:20 -04:00
565f0c88fc
[WIP] [NN] Refactor NN package ( #406 )
...
* refactor graph conv
* docs & tests
* fix lint
* fix lint
* fix lint
* fix lint script
* fix lint
* Update
* Style fix
* Fix style
* Fix style
* Fix gpu case
* Fix for gpu case
* Hotfix edgesoftmax docs
* Handle repeated features
* Add docstring
* Set default arguments
* Remove dropout from nn.conv
* Fix
* add util fn for renaming
* revert gcn_spmv.py
* mx folder
* fix wierd bug
* fix mx
* fix lint
2019-02-25 18:41:21 -05:00
e19cd62ecd
[Test] Unify tests for different backends ( #333 )
...
* test basics
* batched graph & filter, mxnet filter fix
* frame and function; bugfix
* test graph adj and inc matrices
* fixing start = 0 for mxnet
* test index
* inplace update & line graph
* multi send recv
* more tests
* oops
* more tests
* removing old test files; readonly graphs for mxnet still kept
* modifying test scripts
* adding a placeholder for pytorch to reserve directory
* torch 0.4.1 compat fixes
* moving backend out of compute to avoid nose detection
* tests guide
* mx sparse-to-dense/sparse-to-numpy is buggy
* oops
* contribution guide for unit tests
* printing incmat
* printing dlpack
* small push
* typo
* fixing duplicate entries that causes undefined behavior
* move equal comparison to backend
2019-01-05 23:32:33 -05:00
24bbdb745e
[Feature] Reversed Graph and Transform Module ( #331 )
...
* reverse a graph
* Reverse a graph
* Fix
* Revert "Fix"
This reverts commit 1728826b4f3a083b76dfc0fdecd2bbf943a971b2.
* Fix
* Fix
* Delete vcs.xml
* Delete Project_Default.xml
* Fix
* Fix
* Fix
* Remove outdated test
* Reorg transform and update reverse (#2 )
* Reorg transform and update reverse
* Fix doc and test
* Update test
* Resolve conflict
* CI oriented fix
* Remove outdated import
* Fix import
* Fix import
* define __all__ for wildcard imports
* Fix import
* Address circular imports
* Fix
* Fix test case
* Fix
* Fix
* Remove unused import
* Fix
* Fix
* Fix
2019-01-04 13:51:19 -05:00
4bd4d6e348
[Lint] Pylint ( #330 )
...
* fix lint for graph_index.py
* pylint for base.py
* pylint for batched_graph.py
* pylint for frame.py; simplify and fix bugs in frame when index is slice type
* pylint for graph.py
* pylint for immutable_graph_index.py
* pylint for init.py
* pylint for rest files in root package
* pylint for _ffi package
* pylint for function package
* pylint for runtime package
* pylint for runtime.ir package
* add pylint to ci
* fix mx tests
* fix lint errors
* fix ci
* fix as requested
* fix lint
2019-01-01 15:15:41 -05:00
2664ed2dff
[Bugfix] Fix multiple send recv ( #320 )
...
* fix bug: frame append should check itself
* more test case
* fix multi-send-recv bug
* remv msg graph and clean up
* test cases
* more test case
* fix for batchedgraph
* fix bugs: converting from a graph with edges
* fix
* add more operators to utils.Index
* clear frame executor
* change message indicator to a graph level index
* fix test cases
* guard the case that mxnet does not support concat zero shape tensor
* fix bug: avoid convert full slice to numpy
* test multi-send-recv after conversion
* fix as request (partially)
* add dtype, ctx to full_1d
* add slice data to utils.Index
* fix
* more doc string
* fix as requested
2018-12-23 21:35:49 -05:00
75e2af7993
[CI] Jenkins on Windows builds ( #324 )
...
* Jenkins build & test on Windows
* oops
* still running nohup on Windows slaves
* ooops again
* squishing vcvars and cmake
* another try
* reverting back
* --user
* switching to msbuild
* made the graph size in cache testing bigger
* put commands into script files
* oooops
2018-12-22 00:39:29 -05:00
Quan (Andy) Gan