17d604b5c7
[Feature] Allow using NCCL for communication in dgl.NodeEmbedding and dgl.SparseOptimizer ( #2824 )
...
* Split from NCCL PR
* Fix type in comment
* Expand documentation for sparse_all_to_all_push
* Restore previous behavior in example
* Re-work optimizer to use NCCL based on gradient location
* Allow for running with embedding on CPU but using NCCL for gradient exchange
* Optimize single partition case
* Fix pylint errors
* Add missing include
* fix gradient indexing
* Fix line continuation
* Migrate 'first_step'
* Skip tests without enough GPUs to run NCCL
* Improve empty tensor handling for pytorch 1.5
* Fix indentation
* Allow multiple NCCL communicator to coexist
* Improve handling of empty message
* Update python/dgl/nn/pytorch/sparse_emb.py
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com >
* Update python/dgl/nn/pytorch/sparse_emb.py
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com >
* Keepy empty tensor dimensionaless
* th.empty -> th.tensor
* Preserve shape for empty non-zero dimension tensors
* Use shared state, when embedding is shared
* Add support for gathering an embedding
* Fix typo
* Fix more typos
* Fix backend call
* Use NodeDataLoader to take advantage of ddp
* Update training script to share memory
* Only squeeze last dimension
* Better handle empty message
* Keep embedding on the target device GPU if dgl_sparse if false in RGCN example
* Fix typo in comment
* Add asserts
* Improve documentation in example
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com >
2021-06-10 21:19:00 -07:00
2a3a9a0011
[Bugfix] to() method ignores PyTorch default CUDA device ( #2897 )
2021-05-08 13:23:30 +08:00
e70138bbe4
[Performance][GPU] Enable GPU uniform edge sampling ( #2716 )
...
* Start on uniform GPU sampling
* Save more work
* Get cu file compiling
* Update sampling
* More changes
* Get GPU sampling for uniform probabilities solved
* Fix batch tensor migration
* Fix
* update kernels
* expand blocking
* Undo testing change
* Cut down on sampling overhead
* Fix replacement
* Update unit tests
* Add option to gpu sample in graphsage
* Copy only csc to gpu
* Add ogbn support
* Fix linting
* Remove nvtx from sample
* Improve documentation and error checking
* Expand documentation
* Update assert checking
* delete extra space
* Use standard dataloader when dataset is a dictionary
* ogb -> ogbn
* Fix edge selection determinism
* Fix typos
* Remove nvtx
* Add comment for self.fanout_arrays and assert
* Fix linting
* Migrate to scalarbatcher
* Fix indentation
* Fix batcher
* Fix indexing
* Only use databatcher for GPU
* Convert to DGL NDArray to PyTorch Tensor
* Add optimization for PyTorch's F.tensor() for list of GPU tensors
Co-authored-by: Da Zheng <zhengda1936@gmail.com >
2021-04-14 18:55:09 -07:00
cf8a3fb305
[hotfix] Address the performance issue of topk. ( #2628 )
...
* upd
* fix
* upd
* upd
* udp
* upd
* upd
* upd
* upd
* upd
* upd
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
2021-02-11 00:00:39 +08:00
25ac334403
[Distributed] Heterogeneous graph support ( #2457 )
...
* Distributed heterograph (#3 )
* heterogeneous graph partition.
* fix graph partition book for heterograph.
* load heterograph partitions.
* update DistGraphServer to support heterograph.
* make DistGraph runnable for heterograph.
* partition a graph and store parts with homogeneous graph structure.
* update DistGraph server&client to use homogeneous graph.
* shuffle node Ids based on node types.
* load mag in heterograph.
* fix per-node-type mapping.
* balance node types.
* fix for homogeneous graph
* store etype for now.
* fix data name.
* fix a bug in example.
* add profiler in rgcn.
* heterogeneous RGCN.
* map homogeneous node ids to hetero node ids.
* fix graph partition book.
* fix DistGraph.
* shuffle eids.
* verify eids and their mappings when loading a partition.
* Id map from homogneous Ids to per-type Ids.
* verify partitioned results.
* add test for distributed sampler.
* add mapping from per-type Ids to homogeneous Ids.
* update example.
* fix DistGraph.
* Revert "add profiler in rgcn."
This reverts commit 36daaed8b660933dac8f61a39faec3da2467d676.
* add tests for homogeneous graphs.
* fix a bug.
* fix test.
* fix for one partition.
* fix for standalone training and evaluation.
* small fix.
* fix two bugs.
* initialize projection matrix.
* small fix on RGCN.
* Fix rgcn performance (#17 )
Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-171.ec2.internal >
* fix lint.
* fix lint.
* fix lint.
* fix lint.
* fix lint.
* fix lint.
* fix.
* fix test.
* fix lint.
* test partitions.
* remove redundant test for partitioning.
* remove commented code.
* fix partition.
* fix tests.
* fix RGCN.
* fix test.
* fix test.
* fix test.
* fix.
* fix a bug.
* update dmlc-core.
* fix.
* fix rgcn.
* update readme.
* add comments.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-202.us-west-1.compute.internal >
Co-authored-by: Ubuntu <ubuntu@ip-172-31-9-132.us-west-1.compute.internal >
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com >
Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-171.ec2.internal >
* fix.
* fix.
* add div_int.
* fix.
* fix.
* fix lint.
* fix.
* fix.
* fix.
* adjust.
* move code.
* handle heterograph.
* return pytorch tensor in GPB.
* remove some tests in example.
* add to_block for distributed training.
* use distributed to_block.
* remove unnecessary function in DistGraph.
* remove distributed to_block.
* use pytorch tensor.
* fix a bug in ntypes and etypes.
* enable norm.
* make the data loader compatible with the old format.
* fix.
* add comments.
* fix a bug.
* add test for heterograph.
* support partition without reshuffle.
* add test.
* support partition without reshuffle.
* fix.
* add test.
* fix bugs.
* fix lint.
* fix dataset.
* fix for mxnet.
* update docstring.
* rename to floor_div
* avoid exposing NodePartitionPolicy and EdgePartitionPolicy.
* fix docstring.
* fix error.
* fixes.
* fix comments.
* rename.
* rename.
* explain IdMap.
* fix docstring.
* fix docstring.
* update docstring.
* remove the code of returning heterograph.
* remove argument.
* fix example.
* make GraphPartitionBook an abstract class.
* fix.
* fix.
* fix a bug.
* fix a bug in example
* fix a bug
* reverse heterograph sampling.
* temp fix.
* fix lint.
* Revert "temp fix."
This reverts commit c450717b9f578b8c48769c675f2a19d6c1e64381.
* compute norm.
* Revert "reverse heterograph sampling."
This reverts commit bd6deb7f52998de76508f800441ff518e2fadcb9.
* fix.
* move id_map.py
* remove check
* add more comments.
* update docstring.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-202.us-west-1.compute.internal >
Co-authored-by: Ubuntu <ubuntu@ip-172-31-9-132.us-west-1.compute.internal >
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com >
Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-171.ec2.internal >
2021-01-24 19:18:00 -08:00
917a755291
[Fix] fix version check ( #2544 )
2021-01-19 19:35:43 +08:00
492ad9be81
[Fix] Avoid Overloading Nonzero for PyTorch Backend ( #2434 )
...
* Update gatedgraphconv.py
* Update entity_classify.py
* Update data-process.rst
* Update reading_data.py
* Update data-process.rst
* Update utils.py
* Update knowledge_graph.py
* Update entity_classify.py
* Update rdf.py
* Update entity_classify_mb.py
* Update test_classify.py
* Update tensor.py
* Update sparse.py
* Update entity_classify_mp.py
* Update 6_line_graph.py
2020-12-20 13:12:17 +08:00
3adbfa1812
[Performance] Use segment operators for graph readout. ( #2361 )
...
* upd
* upd
* update
* upd
* upd
* upd
* fix
* lint
* lint
* pylint
* doc
2020-11-23 01:45:33 +08:00
c6890c231a
[Performance] In HeteroNodeView, build arange on target device, instead of on CPU and copying it ( #2266 )
...
* Build arange on target device
* Utilize arange device in viewpy:HeteroNodeView.__call__
* Work around uint64 error in TF to_dlpack
* Restore else clause
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
Co-authored-by: Da Zheng <zhengda1936@gmail.com >
2020-11-02 14:03:26 -08:00
35e25914ad
Update version check of PyTorch to 1.5 ( #2079 )
2020-08-20 21:33:29 +08:00
63e2ba23c6
[WIP][Kernel] Set the built-in reduce result of zero-degree nodes to 0 in C ( #2017 )
...
* test idea
* cuda kernels
* lint and fixes
* lint
* change to another strategy
* use infinity
* fix
Co-authored-by: Zihao Ye <expye@outlook.com >
2020-08-14 22:59:24 +08:00
6294677f8a
[hotfix] Set reduce results to all zero for nodes with zero in-degrees. ( #2011 )
2020-08-13 01:20:56 +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
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
444becf00a
[Misc] Move many deprecated codes to the deprecate folder ( #1893 )
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* 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
ff8f7082a3
[Distributed] turn off recording on embeddings in the inference. ( #1861 )
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* turn on/off recording in sparse embedding.
* add test.
2020-07-27 00:42:40 -07:00
f25b1a064d
[Feature] Autograd of gspmm and gsddmm on PyTorch/MXNet/Tensorflow ( #1680 )
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* 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
6a3685bea0
[BUGFIX] fix a bug in graph partitioning. ( #1769 )
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* fix
* use utils.toindex in the right place.
* fix.
* update tensor for mxnet backend.
* fix
* fix
2020-07-09 01:16:42 -07:00
cadcc1c2a6
[Feature] add sparse embedding. ( #1497 )
...
* add sparse embedding.
* fix
* add test.
* man fixes.
* many fixes
* fix sparse emb.
* fix.
* fix lint.
* fix lint.
* fix kvstore.
* expose DistTensor.
* test sparse embeddings.
* add attach_grad to the backends.
* remove part_id
* fix.
* move backward computation.
* move more computation to backend.
* fix a bug when applying learning rate.
* fix a few things.
* fix a few things.
* add docstring
* fix.
* apply no_grad.
* fix tests.
* fix for other frameworks.
* add examples in docstring.
2020-07-03 10:42:09 -07:00
f1b19a6b67
[CUDA] Many CUDA operators; Prepare for DGLGraph on CUDA ( #1660 )
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* add cuda utils; change g.to; add g.device
* split array.h into several headers
* cuda index select
* file
* three cuda kernels
* add cuda elementwise arith and several others
* cuda CSRIsNonZero
* fix lint
* lint
* lint
* fix bug in changing ctx to property
* address comments
* remove unused codes
* address comments
2020-06-19 15:44:42 +08:00
41349dcef5
[Feature] Range partition ( #1522 )
...
* add reorder immutable graph.
* add python API.
* add reorder for csr.
* remove gk version.
* fix
* add cpp test.
* bug fixes
* fix tests.
* fix bugs and add check
* fix test.
* add omp.
* add comments.
* add coo reorder.
* fix a bug.
* handle reorder for different graph structues.
* fix lint.
* fix.
* add original ids.
* reshuffle nodes before metis partition.
* inner nodes are in contiguous Id range.
* reshuffle nodes/edges when partitioning.
* load partition return graph partition book.
* use inner_node/inner_edges
* add and test range partition book.
* count inner_edge correctly.
* fix lint.
* fix lint.
* fix lint.
* fix errors.
* fix errors.
* fix for TF.
* fix.
* fix.
* change docstring.
* support logical and.
* add comments.
* avoid copy.
* fix
* update docstring.
* fix a bug.
* add range search.
* fix
* fix a bug.
* add more tests.
* load graph partition book.
* support shared memory for range partition book.
* fix a bug.
* fix.
* fix lint.
* remove check
* fix test.
* remove num_nodes and num_edges
* fix lint.
* fix graph partition book.
* address comments.
* use makedirs.
* fix compile
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com >
Co-authored-by: Chao Ma <mctt90@gmail.com >
2020-06-15 11:43:04 -07:00
04522a76c6
[bugfix] Quick fix of #1547 ( #1600 )
...
* upd
* upd
2020-06-15 09:27:37 +08:00
96984faca4
[Feature] Split data for distributed training ( #1505 )
...
* fix tests in graph partition book.
* implement node_split and edge_split.
* fix a bug.
* add tests.
* remove unnecessary code.
* avoid storing graph structure in partition book.
* add partition book in DistGraph.
* Revert "avoid storing graph structure in partition book."
This reverts commit 55b11fbf9293efcae5f8c97e93f1e121399dadae.
* small fixes.
* add a test for boolean mask vector.
* fix test.
* fix bugs.
* make it work for all different cases.
* fix tests.
* fix boolean mask
* fix for TF
* fix for tensorflow.
* fix test for TF
* only support boolean mask for now.
* fix tests.
* make the code more readable.
* fix test.
Co-authored-by: Chao Ma <mctt90@gmail.com >
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
2020-05-14 12:46:37 -07:00
dc8ca88e58
[Refactor] Explicit dtype for HeteroGraph ( #1467 )
...
* 111
* 111
* lint
* lint
* lint
* lint
* fix
* lint
* try
* fix
* lint
* lint
* test
* fix
* ttt
* test
* fix
* fix
* fix
* mxnet
* 111
* fix 64bits computation
* pylint
* roll back
* fix
* lint
* fix hetero_from_relations
* remove index_dtype in to_homo and to_hetero
* fix
* fix
* fix
* fix
* remove default
* fix
* lint
* fix
* fix error message
* fix error
* lint
* macro dispatch
* try
* lint
* remove nbits
* error message
* fix
* fix
* lint
* lint
* lint
* fix
* lint
* fix
* fix random walk
* lint
* lint
* fix
* fix
* fix
* lint
* fix
* lint
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2020-05-08 14:26:28 +08:00
f25bc176d0
[Hetero] Improve speed of several Hetero APIs ( #1486 )
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* add clone function to frame
* add utest
* replace all local_var with local_scope
* fix utest
* avoid creating canonical types in __getitem__
* lint
* try another utest appraoch for mx
* utest
2020-05-01 15:21:33 +08:00
3c4506e91e
[Bugfix] Add bool data type to backend. ( #1487 )
...
* add bool to F.data_type_dict
* add utest
* skip bool test for mx
2020-04-29 20:08:36 +08:00
e9440acb06
[TF] TF backend fix and new logic to choose backend ( #1393 )
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* 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
86fe58ebb8
[Bug] Another fix on PyTorch memory leakage issue ( #1139 )
...
* another fix
* another try
* fix
* rewriting with kernel functions
* revert mxnet softmax changes
* lint fix
Co-authored-by: Zihao Ye <zihaoye.cs@gmail.com >
2020-01-14 22:54:19 +08:00
655d75688a
fix deprecation warning ( #1147 )
2019-12-28 12:42:16 +08:00
d30a69bf27
[Backend] TF backend ( #978 )
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* tf
* add builtin support
* fiix
* pytest
* fix
* fix
* fix some bugs
* fix selecting
* fix todo
* fix test
* fix test fail in tf
* fix
* fix
* fix gather row
* fix gather row
* log backend
* fix gather row
* fix gather row
* fix for pytorch
* fix
* fix
* fix
* fix
* fix
* fix tests
* fix
* fix
* fix
* fix
* fix
* fix
* fix convert
* fix
* fix
* fix
* fix inplace
* add alignment setting
* add debug option
* Revert "add alignment setting"
This reverts commit ec63fb3506ea84fff7d447a1fbdfd1d5d1fb6110.
* tf ci
* fix lint
* fix lint
* add tfdlpack
* fix type
* add env
* fix backend
* fix
* fix tests
* remove one_hot
* remove comment
* remove comment
* fix
* use pip to install all
* fix test
* fix base
* fix
* fix
* add skip
* upgrade cmake
* change version
* change ci
* fix
* fix
* fix
* fix
* fix seg fault
* fix
* fix python version
* fix
* try fix
* fix
* fix
* tf takes longer time in ci
* change py version
* fix
* fix
* fix oom
* change kg env
* change kg env
* 啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊
* 我再也不搞各种乱七八糟环境了……
* use pytest
* Chang image
2019-12-20 15:56:51 +08:00
49b406c981
memory leak fix in PyTorch ( #1060 )
2019-11-29 14:37:33 +08:00
bf8bb58f60
[Transform] Add to_self_loop, remove_self_loop, onehot_degree transform ( #862 )
...
* add transform
* lint
* lint
* fix
* fixmx
* fix
* add test
* fix typo
* fix default num_classes
* change to non-inplace operation
* fix lint
* fix
2019-09-21 00:05:38 +08:00
0a56d65223
[Feature] x_dot_x builtin kernel support ( #831 )
...
* 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
* Start implementing masked-mm kernel.
Add base control flow code.
* Add masked dot declare
* Update func/variable name
* Skeleton compile OK
* Update Implement. Unify BinaryDot with BinaryReduce
* New Impl of x_dot_x, reuse binary reduce template
* Compile OK.
TODO:
1. make sure x_add_x, x_sub_x, x_mul_x, x_div_x work
2. let x_dot_x work
3. make sure backward of x_add_x, x_sub_x, x_mul_x, x_div_x work
4. let x_dot_x backward work
* Fix code style
* Now we can pass the tests/compute/test_kernel.py for add/sub/mul/div forward and backward
* Fix mxnet test code
* Add u_dot_v, u_dot_e, v_dot_e unitest.
* Update doc
* Now also support v_dot_u, e_dot_u, e_dot_v
* Add unroll for some loop
* Add some Opt for cuda backward of dot builtin.
Backward is still slow for dot
* Apply UnravelRavel opt for broadcast backward
* update docstring
2019-09-14 19:27:31 +08:00
7782276962
[KVStore] Distributed kvstore ( #851 )
...
* update
* speedup
* add some comments
2019-09-11 14:54:50 +08:00
5f2f100b80
[Feature] convert np.ndarray to backend tensor when setting ndata/edata( #850 )
2019-09-11 14:37:45 +08:00
8844246aea
[bugfix] Disable shared memory test that may fails CI. ( #810 )
...
* upd
* up
* upd
* upd
2019-08-30 15:42:05 +08:00
dc19cd5687
[Example] Dynamic Graph CNN on Point Cloud ( #789 )
...
* initial commit
* second commit
* another commit
* change docstring
* migrating to dgl.nn
* fixes
* docs
* lint
* multiple fixes
* doc
2019-08-28 09:21:57 +08:00
2c234118c3
[Feature] Add builtin mean reducer ( #787 )
...
* upd
* upd
* upd
* upd
* upd
* passed test
* add note
* upd
* trigger
* slight change
* upd
* upd
* trigger
* fix
* simplify
* upd
* upd
* fudge
* upd
* trigger
* test partial
* upd
* trigger
2019-08-25 16:30:51 -04:00
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
16ec2a8b10
we need to sync for mxnet. ( #648 )
2019-06-11 18:22:21 -07:00
993fd3f94b
[Enhancement] Add DGLGraph.to for PyTorch and MXNet backend ( #600 )
...
* add graph_to
* use backend copy_to
* add test
* fix test
* framework agnostic to() test
* disable pylint complaint
* add examples
* fix docstring
* formatting
* Format
* Update test_to_device.py
2019-06-08 16:21:29 +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
aa129522e0
[Bug Fix] Fix inplace op at backend ( #546 )
...
* Fix inplace operation
* fix line seprator
2019-05-19 23:43:54 -04:00
3cc32a9775
[Feature] Reduce messages with scatter_add in PyTorch ( #427 )
...
* implement pytorch spmm with gather and scatter add
* fix
* replace torch take with index_select
* comments
* comment about pytorch __getitem__ operator pitfall
* typo
2019-03-01 22:51:51 -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
efae0f97d8
[Model] Improve GAT models ( #348 )
...
* two better GAT implementations
* update numbers
* use version switch for spmm
* add missing dropout and output heads
2019-01-11 02:02:06 -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
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
597ac7f8b5
[Release] v0.1.3 ( #288 )
...
* 0.1.2 release
* oops
* more fixes on windows
* [Bugfix] fix download dir (#275 )
* fix download dir
* add doc for the env var
* windows 7 -> 10
* doc update
* [Bugfix] Fix conversion from networkx (#286 )
* fix from_nx when no edge id available
* add test cases
* more detailed tests
* more comments
* [Bugfix] Switch to sparse_coo_matrix for torch 1.0+ (#282 )
* switch to sparse_coo_matrix for torch 1.0+
* fix bug when the version is 0.4.1.post2
* change to distutils
2018-12-11 01:30:47 -05:00
nv-dlasalle