8798872f54
[Bug] Do not skip graphconv even no edge exists ( #3416 )
2021-10-14 14:34:42 +08:00
b576e617ad
[Feature] Add left normalizer for GCN ( #3114 )
...
* add left normalizer for gcn
* fix
* fixes and some bug stuff
2021-07-13 12:49:35 +08:00
acd21a6d60
[Feature] Support direct creation from CSR and CSC ( #3045 )
...
* csr and csc creation
* fix
* fix
* fixes to adj transpose
* fine
* raise error if indptr did not match number of nodes
* fix
* huh?
* oh
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2021-06-25 10:05:47 +08:00
972a9f1323
[Doc] Re-organize the code for dgl.geometry, and expose it in the doc ( #2982 )
...
* reorg and expose dgl.geometry
* fix lint
* fix test
* fix
2021-06-07 11:19:39 +08:00
fcfe52aee5
fix residual ( #2962 )
2021-06-01 13:50:39 +08:00
9e630101a1
fix and lots of tests ( #2650 )
2021-02-12 11:40:05 +08:00
1f6eba9ed3
[Bug] Heterogeneous graph convolution bugfix ( #2578 )
...
* fix heterograph conv
* remove test cases
* fix test
* fix test
* fix test
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2021-01-29 09:30:19 +08:00
013d145663
[NN] Attention Retrieval for NN Modules ( #2397 )
...
* Update
* Update
2020-12-07 23:42:25 +08:00
10cba2f223
Add selfloop ( #2105 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-68-185.ec2.internal >
2020-08-26 11:06:52 +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
b1e69105d4
[Doc] API Doc update for mxnet and tf, remove some degree check ( #2028 )
...
* mx tf relconv
* use method instead of private attr
* src and dst have different fc for gat
* update edgeconv
* change sage and sgconv
* no degree check on gin
* add remainding API doc
* fix pylint
* infer fc_src and fc_dst, only one tensor for block
* fix pytest
2020-08-17 13:23:44 +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
18bfec24cf
[hotfix] Refactor edge softmax module ( #1967 )
...
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd
2020-08-07 23:50:12 +08:00
56339b34bf
[Fix] Update ogb examples according to new API. ( #1922 )
...
* upd
* upd
Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-3.us-east-2.compute.internal >
2020-08-03 23:08:50 +08:00
444becf00a
[Misc] Move many deprecated codes to the deprecate folder ( #1893 )
...
* some file movements
* move some codes to deprecated
* more deprecation
* lint
* remove useless test
2020-07-30 18:17:33 +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
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
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
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
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
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
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
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
2e9949d228
[BUGFIX] Fix bugs in shared mem graph store. ( #630 )
...
* fix graph store for Pytorch.
* add test.
* fix dtype error in test
* disable test on GPU.
* test avoid windows.
* fix shared-memory test.
* use script to control testing environment.
* update test.
* enable all tests.
* fix test script.
2019-06-09 13:08:47 -07:00
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
372203f04a
[Test] Fix tests in test_shared_mem_store. ( #588 )
...
* fix test.
* better assert.
* more asserts.
* print to stderr.
* destroy g.
* fix tests.
* add timeout in sync_barrier.
* test _sync_barrier.
* fix.
* avoid printing messages.
* fix test.
* fix test.
* fix.
2019-06-01 21:18:01 -04:00
40dc18595b
[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.
2019-05-29 21:40:16 -04:00
ce27ebbbd0
[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.
2019-05-23 15:25:38 -07:00
924efc6520
[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.
2019-05-23 12:23:31 -07:00
b2b8be25bb
[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.
2019-05-21 03:27:05 -07:00
cdfca992e1
[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.
2019-05-20 14:23:19 -07:00
3a1392e641
[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.
2019-05-06 23:51:56 -07:00
06e22f1ee4
[Test] Disable unittest for shared memory temporarily ( #497 )
...
* disable tests.
* import unittest.
2019-04-16 16:27:23 -07:00
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
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
929742b588
[Feature] Reimplement Immutable graph index in DGL ( #342 )
...
* init.
* it's compiled.
* add immutable graph constructor.
* add immutable graph API.
* fix.
* impl get adjacency matrix.
* fix.
* fix graph_index from scipy matrix.
* add neighbor sampling.
* remap vertex ids.
* fix.
* move sampler test.
* fix tests.
* add comments
* remove mxnet-specific immutable graph.
* fix.
* fix lint.
* fix.
* try to fix windows compile error.
* fix.
* fix.
* add test.
* unify Graph and ImmutableGraph.
* fix bugs.
* fix compile.
* move immutable graph.
* fix.
* remove print.
* fix lint.
* fix
* fix lint.
* fix lint.
* fix test.
* fix comments.
* merge GraphIndex and ImmutableGraphIndex.
* temp fix.
* impl GetAdj.
* fix lint
* fix.
* fix.
* fix.
* fix.
* fix.
* use csr only for readonly graph.
* Revert "use csr only for readonly graph."
This reverts commit 8e24bb033af8504531b22849de5b7567b168e0d5.
* remove code.
* fix.
* fix.
* fix.
* fix.
* fix.
* fix.
* address comments.
* fix for comments.
* fix comments.
* revert.
* move test_graph_index to compute.
* fix.
* fix.
* impl GetAdj for coo.
* fix.
* fix tests.
* address comments.
* address comments.
* fix comment.
* address comments.
* use lambda.
* other comments.
* address comments.
* modify the semantics of edges.
* fix order.
* use DGLIdIter
* fix.
* remove NotImplemented.
* revert some code.
2019-01-17 09:59:53 +08:00
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
Rhett Ying