92d4ba9071
[release] update version to 2.0.0 ( #6915 )
2024-01-08 10:55:35 +08:00
1e34f6648a
[release] upgrade latest vesion to 2.0 ( #6879 )
2024-01-02 10:24:32 +08:00
fddc0c48da
[BugFix] Updated some Cython code to adapt to Cython 3.0.0 version. ( #6052 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-21-37.ap-northeast-1.compute.internal >
2023-07-27 20:31:08 +08:00
c92d012bb1
[Build] Bump nightly version ( #5704 )
2023-05-18 13:30:35 +08:00
7ff041528c
[Refactor] Add default ffi namespce capi ( #5359 )
2023-02-22 21:33:30 +08:00
d8ca6317a3
[Release] Bump nightly version ( #5357 )
...
* bump version
* Update update_version.py
2023-02-22 09:13:38 +08:00
529b26627b
autofix ( #5337 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-02-21 20:12:43 +08:00
4706b6bf72
[Misc] Autoformat python dgl. ( #5338 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-02-21 15:24:06 +08:00
a566b60be4
auto-fix ( #5331 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-02-21 01:25:16 +08:00
f1fb859f99
bump version to 1.0 ( #5123 )
2023-01-09 11:28:26 +08:00
f85da5f533
[Bugfix] Turn off use_alternate_stream when TensorAdaptor is not enabled ( #4987 )
...
* turn off use_alternate_stream when tensoradaptor is not enabled
* add docstring
2022-12-07 14:41:28 +08:00
949f87cc1d
[FFI] Change enumeration name in DGLObjectTypeCode to avoid conflict with Pytorch ( #4905 )
2022-11-16 15:25:48 +08:00
a208e8868b
[Misc] Black auto fix. ( #4680 )
...
* [Misc] Black auto fix.
* fix pylint disable
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal >
2022-10-08 14:15:56 +08:00
14cafe73e2
bump version ( #4667 )
...
* bump version
* Update setup.py
* Update setup.py
2022-10-01 00:47:38 +08:00
cded5b80fe
[Feature] Bump DLPack to v0.7 and decouple DLPack from the core library ( #4454 )
...
* rename `DLContext` to `DGLContext`
* rename `kDLGPU` to `kDLCUDA`
* replace DLTensor with DGLArray
* fix linting
* Unify DGLType and DLDataType to DGLDataType
* Fix FFI
* rename DLDeviceType to DGLDeviceType
* decouple dlpack from the core library
* fix bug
* fix lint
* fix merge
* fix build
* address comments
* rename dl_converter to dlpack_convert
* remove redundant comments
2022-09-19 16:02:43 +08:00
9a00cf194f
[Feature] Import PyTorch's CUDA stream management ( #4503 )
...
* add set_stream
* add .record_stream for NDArray and HeteroGraph
* refactor dgl stream Python APIs
* test record_stream
* add unit test for record stream
* use pytorch's stream
* fix lint
* fix cpu build
* address comments
* address comments
* add record stream tests for dgl.graph
* record frames and update dataloder
* add docstring
* update frame
* add backend check for record_stream
* remove CUDAThreadEntry::stream
* record stream for newly created formats
* fix bug
* fix cpp test
* fix None c_void_p to c_handle
2022-09-15 16:54:52 +08:00
1c9d2a0302
[Feature] Unify the cuda stream used in core library ( #4480 )
...
* Use an internal cuda stream for CopyDataFromTo
* small fix white space
* Fix to compile
* Make stream optional in copydata for compile
* fix lint issue
* Update cub functions to use internal stream
* Lint check
* Update CopyTo/CopyFrom/CopyFromTo to use internal stream
* Address comments
* Fix backward CUDA stream
* Avoid overloading CopyFromTo()
* Minor comment update
* Overload copydatafromto in cuda device api
Co-authored-by: xiny <xiny@nvidia.com >
2022-09-06 10:14:55 +08:00
5bef48dfda
[Performance] Optimize the use of alternative streams in dataloader ( #4177 )
...
* fix using alternative streams
* use a alternative stream for subgraph transferring
* fix StreamContext when stream is None
2022-06-29 16:02:25 +08:00
3c129ad71f
[Bugfix] Cython CAPI holding GIL causes deadlock when Python callback is asynchronous ( #4036 )
...
* cython nogil
* move APIs to internal and add unit test
* fix lint
* disable callback array test
2022-05-25 10:02:44 +08:00
7f1a5e080b
bump version ( #3795 )
2022-03-02 13:02:55 +08:00
3f138ebaaf
[Bugfix] Bug fixes in new dataloader ( #3727 )
...
* fixes
* fix
* more fixes
* update
* oops
* lint?
* temporarily revert - will fix in another PR
* more fixes
* skipping mxnet test
* address comments
* fix DDP
* fix edge dataloader exclusion problems
* stupid bug
* fix
* use_uvm option
* fix
* fixes
* fixes
* fixes
* fixes
* add evaluation for cluster gcn and ddp
* stupid bug again
* fixes
* move sanity checks to only support DGLGraphs
* pytorch lightning compatibility fixes
* remove
* poke
* more fixes
* fix
* fix
* disable test
* docstrings
* why is it getting a memory leak?
* fix
* update
* updates and temporarily disable forkingpickler
* update
* fix?
* fix?
* oops
* oops
* fix
* lint
* huh
* uh
* update
* fix
* made it memory efficient
* refine exclude interface
* fix tutorial
* fix tutorial
* fix graph duplication in CPU dataloader workers
* lint
* lint
* Revert "lint"
This reverts commit 805484dd553695111b5fb37f2125214a6b7276e9.
* Revert "lint"
This reverts commit 0bce411b2b415c2ab770343949404498436dc8b2.
* Revert "fix graph duplication in CPU dataloader workers"
This reverts commit 9e3a8cf34c175d3093c773f6bb023b155f2bd27f.
Co-authored-by: xiny <xiny@nvidia.com >
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
2022-02-22 01:30:31 +08:00
738e8318fd
[Feature] CUDA UVA sampling for MultiLayerNeighborSampler ( #3674 )
...
* implement pin_memory/unpin_memory/is_pinned for dgl.graph
* update python docstring
* update c++ docstring
* add test
* fix the broken UnifiedTensor
* XPU_SWITCH for kDLCPUPinned
* a rough version ready for testing
* eliminate extra context parameter for pin/unpin
* update train_sampling
* fix linting
* fix typo
* multi-gpu uva sampling case
* disable new format materialization for pinned graphs
* update python doc for pin_memory_
* fix unit test
* UVA sampling for link prediction
* dispatch most csr ops
* update graphsage example to combine uva sampling and UnifiedTensor
* update graphsage example to combine uva sampling and UnifiedTensor
* update graphsage example to combine uva sampling and UnifiedTensor
* update doc
* update examples
* change unitgraph and heterograph's PinMemory to in-place
* update examples for multi-gpu uva sampling
* update doc
* fix linting
* fix cpu build
* fix is_pinned for DistGraph
* fix is_pinned for DistGraph
* update graphsage unsupervised example
* update doc for gpu sampling
* update some check for sampling device switching
* fix linting
* adapt for new dataloader
* fix linting
* fix
* fix some name issue
* adjust device check
* add unit test for uva sampling & fix some zero_copy bug
* fix linting
* update num_threads in graphsage examples
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com >
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
2022-02-09 14:06:17 +08:00
da877df238
[CI] Migrate to pylint 2.6.0 ( #3698 )
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* migrate to pylint 2.6.0
* fix
* fix?
* ???
* oops
2022-01-28 18:32:18 +08:00
c8fef62928
Fix wrong logging level ( #3689 )
2022-01-26 22:59:20 +08:00
ba62b730b4
Disable tensoradapter and "using backend: xxx" log by default ( #3684 )
...
* fix
* lint
* lint
* address comment
2022-01-25 19:32:54 +08:00
e234fcfa8f
[Feature] enable create/set/free cuda stream for internal use ( #3334 )
...
* [Feature] enable create/set/free cuda stream for internal use
* add unit test
* fix unit test failure on mxnet and tf
* refactor stream wrapper
* fix lint error
* fix lint error
2021-09-29 15:35:02 +08:00
213e27f05c
Bump nightly version ( #3146 )
2021-08-02 17:24:18 +08:00
905c0aa578
[Feature][Performance][GPU] Introducing UnifiedTensor for efficient zero-copy host memory access from GPU ( #3086 )
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* Add pytorch-direct version
* Initial commit of unified tensor
* Merge branch 'master' of https://github.com/davidmin7/dgl
* Remove unnecessary things
* Fix error message
* Fix/Add descriptions
* whitespace fix
* add unpin
* disable IndexSelectCPUFromGPU with no CUDA
* add a newline for unified_tensor.py
* Apply changes based on feedback
* add 'os' module
* skip unified tensor unit test for cpu only
* Update tests/pytorch/test_unified_tensor.py
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com >
* reflect feedback
Co-authored-by: shhssdm <shhssdm@gmail.com >
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com >
2021-07-17 00:06:20 +08:00
2f41fcd986
[Build] fix various build problems ( #3117 )
2021-07-08 11:39:33 +08:00
3301bd0bcc
bump nightly to 0.7 ( #2814 )
2021-04-06 13:51:26 +08:00
e805470101
addressing post-merge comments ( #2455 )
2020-12-26 17:58:15 +08:00
9a7235faf2
[Performance] Use allocator from PyTorch if possible ( #2328 )
...
* first commit
* some thoughts
* move around
* more commit
* more fixes
* now it uses torch allocator
* fix symbol export error
* fix
* fixes
* test fix
* add script
* building separate library per version
* fix for vs2019
* more fixes
* fix on windows build
* update jenkinsfile
* auto copy built dlls for windows
* lint and installation guide update
* fix
* specify conda environment
* set environment for ci
* fix
* fix
* fix
* fix again
* revert
* fix cmake
* fix
* switch to using python interpreter path
* remove scripts
* debug
* oops sorry
* Update index.rst
* Update index.rst
* copies automatically, no need for this
* do not print message if library not found
* tiny fixes
* debug on nightly
* replace add_compile_definitions to make CMake 3.5 happy
* fix linking to wrong lib for multiple pytorch envs
* changed building strategy
* fix nightly
* fix windows
* fix windows again
* setup bugfix
* address comments
* change README
2020-12-25 13:57:51 +08:00
ad8530a4dc
[Readme] 0.5.0 release and bump to new prerelease versions ( #2082 )
...
* [Readme] 0.5.0 release and bump to new prerelease versions
* bump version
2020-08-21 12:29:17 +08:00
e291f503f2
[Fix] Update libinfo.py ( #1830 )
...
* Update libinfo.py
fix `if search_path is list` error, and improve the code.
* change string format for compatibility with py35
change string format
* Update libinfo.py
* Update libinfo.py
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com >
2020-08-17 10:52:11 +08:00
b9ae536ecf
[Hotfix] fix excessive warnings ( #1896 )
2020-07-31 10:32:21 +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
68a978d4de
[Model] Fixes JTNN for 0.5 ( #1879 )
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* jtnn and fixes
* make metagraph a method
* fix test
* fix
2020-07-30 13:36:08 +08:00
d4daceb81d
remove message ( #1685 )
2020-06-23 22:44:49 +08:00
3e69692233
[RPC] New RPC infrastructure. ( #1549 )
...
* WIP: rpc components
* client & server
* move network package to rpc
* fix include
* fix compile
* c api
* wip: test
* add basic tests
* missing file
* [RPC] Zero copy serializer (#1517 )
* zerocopy serialization
* add test for HeteroGraph
* fix lint
* remove unnecessary codes
* add comment
* lint
* lint
* disable pylint for now
* add include for win
* windows guard
* lint
* lint
* skip test on windows
* refactor
* add comment
* fix
* comment
* 1111
* fix
* Update Jenkinsfile
* [RPC] Implementation of RPC infra (#1544 )
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* remove client.cc and server.cc
* fix lint
* update
* update
* fix linr
* update
* fix lint
* update
* update
* update
* update
* update
* update
* update test
* update
* update test
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update comment
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* fix lint
* fix lint
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
2020-05-22 18:48:37 +08:00
e9440acb06
[TF] TF backend fix and new logic to choose backend ( #1393 )
...
* TF backend fix and new logic to choose backend
* fix
* fix
* fix
* fix
* fix backend
* fix
* dlpack alignment
* add flag
* flag
* lint
* lint
* remove unused
* several fixes
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2020-03-30 18:45:17 +08:00
1c4bfb62bb
[Performance] Replace np.array with np.asarray ( #1301 )
...
* replace np.array with np.asarray
* fix
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu >
2020-03-03 20:45:41 +08:00
5dd35580f7
[Feature] Improve sampling speed; Better pickle/unpickle; other fixes ( #1299 )
...
* improve performance of sample_neighbors
* some more improve
* test script
* benchmarks
* multi process
* update more tests
* WIP
* adding two API for state saving
* add create from state
* upd test
* missing file
* wip: pickle/unpickle
* more c apis
* find the problem of empty data array
* add null array; pickling speed is bad
* still bad perf
* still bad perf
* wip
* fix the pickle speed test; now everything looks good
* minor fix
* bugfix
* some lint fix
* address comments
* more fix
* fix lint
* add utest for random.choice
* add utest for dgl.rand_graph
* fix cpp utests
* try fix ci
* fix bug in TF backend
* upd choice docstring
* address comments
* upd
* try fix compile
* add comment
2020-03-02 23:16:05 +08:00
a9dabcc769
[Feature] Random Walk for 0.5 ( #1209 )
...
* trying to refactor IndexSelect
* partial implementation
* add index select and assign for floats as well
* move to random choice source
* more updates
* fixes
* fixes
* more fixes
* adding python impl
* fixes
* unit test
* lint
* lint x2
* lint x3
* update metapath2vec
* debugging performance
* still debugging for performance
* tuning
* switching to succvec
* redo
* revert non-uniform sampler to use vector
* still not fast
* why does this crash with OpenMP???
* because there was a data race!!!
* add documentations and remove assign op
* lint
* lint x2
* lol what have i done
* lint x3
* fix and disable gpu testing
* bugfix
* generic random walk
* reorg the random walk source code
* Update randomwalks.h
* Update randomwalks_cpu.cc
* rename file
* move internal function to anonymous ns
* reorg & docstrings
* constant restart probability
* docstring fix
* more commit
* random walk with restart, tested
* some fixes
* switch to using NDArray for choice
* massive fix & docstring
* lint x?
* lint x??
* fix
* export symbols
* skip gpu test
* addresses comments
* replaces another VecToIdArray
* add randomwalks.h to include
* replace void * with template
2020-01-31 19:52:08 +08:00
fd3d54ba98
bump up version for prerelease ( #768 )
2019-08-16 10:32:54 +08:00
7ad663c3a9
[Hetero] Heterograph C++ implementation; Bipartite and Python wrapper ( #725 )
...
* finish bipartite graph implementation; compiled
* finished heterograph implementation; compiled
* WIP: apis
* C API codes
* compiled
* WIP: python
* HeteroGraphIndex
* WIP: test
* add DGLContext support in ffi
* fix bug in has edge
* unittests except edge subgraph
* edge subgraph
* fix lint
* address comments
* poke ci
* try fix
* fix msvc
2019-07-27 15:22:56 -04:00
67dc11971f
[Refactor] Use object system for all CAPIs ( #716 )
...
* WIP: using object system for graph
* c++ side refactoring done; compiled
* remove stale apis
* fix bug in DGLGraphCreate; passed test_graph.py
* fix bug in python modify; passed utest for pytorch/cpu
* fix lint
* address comments
2019-07-23 12:47:05 -04:00
b0d9e7aa43
[Refactor] Separating graph and sparse matrix operations ( #699 )
...
* WIP: array refactoring
* WIP: implementation
* wip
* most csr part
* WIP: on coo
* WIP: coo
* finish refactoring immutable graph
* compiled
* fix undefined ndarray copy bug; add COOToCSR when coo has no data array
* fix bug in COOToCSR
* fix bug in CSR constructor
* fix bug in in_edges(vid)
* fix OutEdges bug
* pass test_graph
* pass test_graph
* fix bug in CSR constructor
* fix bug in CSR constructor
* fix bug in CSR constructor
* fix stupid bug
* pass gpu test
* remove debug printout
* fix lint
* rm biparate grpah
* fix lint
* address comments
* fix bug in Clone
* cpp utests
2019-07-17 17:49:38 -04:00
90e78c5854
[FFI] FFI container support, custom structure extension via Object ( #693 )
...
* WIP: import tvm runtime node system
* WIP: object system
* containers
* tested basic container composition
* tested custom object
* fix setattr bug
* tested object container return
* fix lint
* some comments about get/set state
* fix lint
* fix lint
* update cython
* fix cython
* ffi doc
* fix doc
2019-07-01 14:40:07 -04:00
059b1a6d6f
[Release] Bump up version ( #636 )
...
* bump up version
* conda+cuda trial
* switch conda branch
* revert
* disable cudnn
2019-06-12 16:50:05 +08:00
653428bdc7
[Feature][Kernel] DGL kernel support ( #596 )
...
* [Kernel] Minigun integration and fused kernel support (#519 )
* kernel interface
* add minigun
* Add cuda build
* functors
* working on binary elewise
* binary reduce
* change kernel interface
* WIP
* wip
* fix minigun
* compile
* binary reduce kernels
* compile
* simple test passed
* more reducers
* fix thrust problem
* fix cmake
* fix cmake; add proper guard for atomic
* WIP: bcast
* WIP
* bcast kernels
* update to new minigun pass-by-value practice
* broadcasting dim
* add copy src and copy edge
* fix linking
* fix none array problem
* fix copy edge
* add device_type and device_id to backend operator
* cache csr adj, remove cache for adjmat and incmat
* custom ops in backend and pytorch impl
* change dgl-mg kernel python interface
* add id_mapping var
* clean up plus v2e spmv schedule
* spmv schedule & clean up fall back
* symbolic message and reduce func, remove bundle func
* new executors
* new backend interface for dgl kernels and pytorch impl
* minor fix
* fix
* fix docstring, comments, func names
* nodeflow
* fix message id mapping and bugs...
* pytorch test case & fix
* backward binary reduce
* fix bug
* WIP: cusparse
* change to int32 csr for cusparse workaround
* disable cusparse
* change back to int64
* broadcasting backward
* cusparse; WIP: add rev_csr
* unit test for kernels
* pytorch backward with dgl kernel
* edge softmax
* fix backward
* improve softmax
* cache edge on device
* cache mappings on device
* fix partial forward code
* cusparse done
* copy_src_sum with cusparse
* rm id getter
* reduce grad for broadcast
* copy edge reduce backward
* kernel unit test for broadcasting
* full kernel unit test
* add cpu kernels
* edge softmax unit test
* missing ref
* fix compile and small bugs
* fix bug in bcast
* Add backward both
* fix torch utests
* expose infershape
* create out tensor in python
* fix c++ lint
* [Kernel] Add GPU utest and kernel utest (#524 )
* fix gpu utest
* cuda utest runnable
* temp disable test nodeflow; unified test for kernel
* cuda test kernel done
* [Kernel] Update kernel branch (#550 )
* [Model] add multiprocessing training with sampling. (#484 )
* reorganize sampling code.
* add multi-process training.
* speed up gcn_cv
* fix graphsage_cv.
* add new API in graph store.
* update barrier impl.
* support both local and distributed training.
* fix multiprocess train.
* fix.
* fix barrier.
* add script for loading data.
* multiprocessing sampling.
* accel training.
* replace pull with spmv for speedup.
* nodeflow copy from parent with context.
* enable GPU.
* fix a bug in graph store.
* enable multi-GPU training.
* fix lint.
* add comments.
* rename to run_store_server.py
* fix gcn_cv.
* fix a minor bug in sampler.
* handle error better in graph store.
* improve graphsage_cv for distributed mode.
* update README.
* fix.
* update.
* [Tutorial] add sampling tutorial. (#522 )
* add sampling tutorial.
* add readme
* update author list.
* fix indent in the code.
* rename the file.
* update tutorial.
* fix the last API.
* update image.
* [BUGFIX] fix the problems in the sampling tutorial. (#523 )
* add index.
* update.
* update tutorial.
* fix gpu utest
* cuda utest runnable
* temp disable test nodeflow; unified test for kernel
* cuda test kernel done
* Fixing typo in JTNN after interface change (#536 )
* [BugFix] Fix getting src and dst id of ALL edges in NodeFlow.apply_block (#515 )
* [Bug Fix] Fix inplace op at backend (#546 )
* Fix inplace operation
* fix line seprator
* [Feature] Add batch and unbatch for immutable graph (#539 )
* Add batch and unbatch for immutable graph
* fix line seprator
* fix lintr
* remove unnecessary include
* fix code review
* [BUGFix] Improve multi-processing training (#526 )
* fix.
* add comment.
* remove.
* temp fix.
* initialize for shared memory.
* fix graphsage.
* fix gcn.
* add more unit tests.
* add more tests.
* avoid creating shared-memory exclusively.
* redefine remote initializer.
* improve initializer.
* fix unit test.
* fix lint.
* fix lint.
* initialize data in the graph store server properly.
* fix test.
* fix test.
* fix test.
* small fix.
* add comments.
* cleanup server.
* test graph store with a random port.
* print.
* print to stderr.
* test1
* test2
* remove comment.
* adjust the initializer signature.
* [API] update graph store API. (#549 )
* add init_ndata and init_edata in DGLGraph.
* adjust SharedMemoryGraph API.
* print warning.
* fix comment.
* update example
* fix.
* fix examples.
* add unit tests.
* add comments.
* [Refactor] Immutable graph index (#543 )
* WIP
* header
* WIP .cc
* WIP
* transpose
* wip
* immutable graph .h and .cc
* WIP: nodeflow.cc
* compile
* remove all tmp dl managed ctx; they caused refcount issue
* one simple test
* WIP: testing
* test_graph
* fix graph index
* fix bug in sampler; pass pytorch utest
* WIP on mxnet
* fix lint
* fix mxnet unittest w/ unfortunate workaround
* fix msvc
* fix lint
* SliceRows and test_nodeflow
* resolve reviews
* resolve reviews
* try fix win ci
* try fix win ci
* poke win ci again
* poke
* lazy multigraph flag; stackoverflow error
* revert node subgraph test
* lazy object
* try fix win build
* try fix win build
* poke ci
* fix build script
* fix compile
* add a todo
* fix reviews
* fix compile
* [Kernel] Update kernel branch (#576 )
* [Model] add multiprocessing training with sampling. (#484 )
* reorganize sampling code.
* add multi-process training.
* speed up gcn_cv
* fix graphsage_cv.
* add new API in graph store.
* update barrier impl.
* support both local and distributed training.
* fix multiprocess train.
* fix.
* fix barrier.
* add script for loading data.
* multiprocessing sampling.
* accel training.
* replace pull with spmv for speedup.
* nodeflow copy from parent with context.
* enable GPU.
* fix a bug in graph store.
* enable multi-GPU training.
* fix lint.
* add comments.
* rename to run_store_server.py
* fix gcn_cv.
* fix a minor bug in sampler.
* handle error better in graph store.
* improve graphsage_cv for distributed mode.
* update README.
* fix.
* update.
* [Tutorial] add sampling tutorial. (#522 )
* add sampling tutorial.
* add readme
* update author list.
* fix indent in the code.
* rename the file.
* update tutorial.
* fix the last API.
* update image.
* [BUGFIX] fix the problems in the sampling tutorial. (#523 )
* add index.
* update.
* update tutorial.
* fix gpu utest
* cuda utest runnable
* temp disable test nodeflow; unified test for kernel
* cuda test kernel done
* Fixing typo in JTNN after interface change (#536 )
* [BugFix] Fix getting src and dst id of ALL edges in NodeFlow.apply_block (#515 )
* [Bug Fix] Fix inplace op at backend (#546 )
* Fix inplace operation
* fix line seprator
* [Feature] Add batch and unbatch for immutable graph (#539 )
* Add batch and unbatch for immutable graph
* fix line seprator
* fix lintr
* remove unnecessary include
* fix code review
* [BUGFix] Improve multi-processing training (#526 )
* fix.
* add comment.
* remove.
* temp fix.
* initialize for shared memory.
* fix graphsage.
* fix gcn.
* add more unit tests.
* add more tests.
* avoid creating shared-memory exclusively.
* redefine remote initializer.
* improve initializer.
* fix unit test.
* fix lint.
* fix lint.
* initialize data in the graph store server properly.
* fix test.
* fix test.
* fix test.
* small fix.
* add comments.
* cleanup server.
* test graph store with a random port.
* print.
* print to stderr.
* test1
* test2
* remove comment.
* adjust the initializer signature.
* [API] update graph store API. (#549 )
* add init_ndata and init_edata in DGLGraph.
* adjust SharedMemoryGraph API.
* print warning.
* fix comment.
* update example
* fix.
* fix examples.
* add unit tests.
* add comments.
* [Refactor] Immutable graph index (#543 )
* WIP
* header
* WIP .cc
* WIP
* transpose
* wip
* immutable graph .h and .cc
* WIP: nodeflow.cc
* compile
* remove all tmp dl managed ctx; they caused refcount issue
* one simple test
* WIP: testing
* test_graph
* fix graph index
* fix bug in sampler; pass pytorch utest
* WIP on mxnet
* fix lint
* fix mxnet unittest w/ unfortunate workaround
* fix msvc
* fix lint
* SliceRows and test_nodeflow
* resolve reviews
* resolve reviews
* try fix win ci
* try fix win ci
* poke win ci again
* poke
* lazy multigraph flag; stackoverflow error
* revert node subgraph test
* lazy object
* try fix win build
* try fix win build
* poke ci
* fix build script
* fix compile
* add a todo
* fix reviews
* fix compile
* all demo use python-3 (#555 )
* [DEMO] Reproduce numbers of distributed training in AMLC giant graph paper (#556 )
* update
* update
* update
* update num_hops
* fix bug
* update
* report numbers of distributed training in AMLC giant graph paper
* [DEMO] Remove duplicate code for sampling (#557 )
* update
* update
* re-use single-machine code
* update
* use relative path
* update
* update
* update
* add __init__.py
* add __init__.py
* import sys, os
* fix typo
* update
* [Perf] Improve performance of graph store. (#554 )
* fix.
* use inplace.
* move to shared memory graph store.
* fix.
* add more unit tests.
* fix.
* fix test.
* fix test.
* disable test.
* fix.
* [BUGIFX] fix a bug in edge_ids (#560 )
* add test.
* fix compute.
* fix test.
* turn on test.
* fix a bug.
* add test.
* fix.
* disable test.
* [DEMO] Add Pytorch demo for distributed sampler (#562 )
* update
* update
* update
* add sender
* update
* remove duplicate cpde
* [Test] Add gtest to project (#547 )
* add gtest module
* add gtest
* fix
* Update CMakeLists.txt
* Update README.md
* [Perf] lazily create msg_index. (#563 )
* lazily create msg_index.
* update test.
* [BUGFIX] fix bugs for running GCN on giant graphs. (#561 )
* load mxnet csr.
* enable load large csr.
* fix
* fix.
* fix int overflow.
* fix test.
* [BugFix] Fix error when bfs_level = 0 in Entity Classification with RGCN (#559 )
* [DEMO] Update demo of distributed sampler (#564 )
* update
* update
* update demo
* add network cpp test (#565 )
* Add unittest for C++ RPC (#566 )
* [CI] Fix CI for cpp test (#570 )
* fix CI for cpp test
* update port number
* [Docker] update docker image (#575 )
* update docker image
* specify lint version
* rm torch import from unified tests
* [Kernel][Scheduler][MXNet] Scheduler for DGL kernels and MXNet backend support (#541 )
* [Model] add multiprocessing training with sampling. (#484 )
* reorganize sampling code.
* add multi-process training.
* speed up gcn_cv
* fix graphsage_cv.
* add new API in graph store.
* update barrier impl.
* support both local and distributed training.
* fix multiprocess train.
* fix.
* fix barrier.
* add script for loading data.
* multiprocessing sampling.
* accel training.
* replace pull with spmv for speedup.
* nodeflow copy from parent with context.
* enable GPU.
* fix a bug in graph store.
* enable multi-GPU training.
* fix lint.
* add comments.
* rename to run_store_server.py
* fix gcn_cv.
* fix a minor bug in sampler.
* handle error better in graph store.
* improve graphsage_cv for distributed mode.
* update README.
* fix.
* update.
* [Tutorial] add sampling tutorial. (#522 )
* add sampling tutorial.
* add readme
* update author list.
* fix indent in the code.
* rename the file.
* update tutorial.
* fix the last API.
* update image.
* [BUGFIX] fix the problems in the sampling tutorial. (#523 )
* add index.
* update.
* update tutorial.
* fix gpu utest
* cuda utest runnable
* temp disable test nodeflow; unified test for kernel
* cuda test kernel done
* edge softmax module
* WIP
* Fixing typo in JTNN after interface change (#536 )
* mxnet backend support
* improve reduce grad
* add max to unittest backend
* fix kernel unittest
* [BugFix] Fix getting src and dst id of ALL edges in NodeFlow.apply_block (#515 )
* lint
* lint
* win build
* [Bug Fix] Fix inplace op at backend (#546 )
* Fix inplace operation
* fix line seprator
* [Feature] Add batch and unbatch for immutable graph (#539 )
* Add batch and unbatch for immutable graph
* fix line seprator
* fix lintr
* remove unnecessary include
* fix code review
* [BUGFix] Improve multi-processing training (#526 )
* fix.
* add comment.
* remove.
* temp fix.
* initialize for shared memory.
* fix graphsage.
* fix gcn.
* add more unit tests.
* add more tests.
* avoid creating shared-memory exclusively.
* redefine remote initializer.
* improve initializer.
* fix unit test.
* fix lint.
* fix lint.
* initialize data in the graph store server properly.
* fix test.
* fix test.
* fix test.
* small fix.
* add comments.
* cleanup server.
* test graph store with a random port.
* print.
* print to stderr.
* test1
* test2
* remove comment.
* adjust the initializer signature.
* try
* fix
* fix
* fix
* fix
* fix
* try
* test
* test
* test
* try
* try
* try
* test
* fix
* try gen_target
* fix gen_target
* fix msvc var_args expand issue
* fix
* [API] update graph store API. (#549 )
* add init_ndata and init_edata in DGLGraph.
* adjust SharedMemoryGraph API.
* print warning.
* fix comment.
* update example
* fix.
* fix examples.
* add unit tests.
* add comments.
* [Refactor] Immutable graph index (#543 )
* WIP
* header
* WIP .cc
* WIP
* transpose
* wip
* immutable graph .h and .cc
* WIP: nodeflow.cc
* compile
* remove all tmp dl managed ctx; they caused refcount issue
* one simple test
* WIP: testing
* test_graph
* fix graph index
* fix bug in sampler; pass pytorch utest
* WIP on mxnet
* fix lint
* fix mxnet unittest w/ unfortunate workaround
* fix msvc
* fix lint
* SliceRows and test_nodeflow
* resolve reviews
* resolve reviews
* try fix win ci
* try fix win ci
* poke win ci again
* poke
* lazy multigraph flag; stackoverflow error
* revert node subgraph test
* lazy object
* try fix win build
* try fix win build
* poke ci
* fix build script
* fix compile
* add a todo
* fix reviews
* fix compile
* WIP
* WIP
* all demo use python-3 (#555 )
* ToImmutable and CopyTo
* [DEMO] Reproduce numbers of distributed training in AMLC giant graph paper (#556 )
* update
* update
* update
* update num_hops
* fix bug
* update
* report numbers of distributed training in AMLC giant graph paper
* [DEMO] Remove duplicate code for sampling (#557 )
* update
* update
* re-use single-machine code
* update
* use relative path
* update
* update
* update
* add __init__.py
* add __init__.py
* import sys, os
* fix typo
* update
* [Perf] Improve performance of graph store. (#554 )
* fix.
* use inplace.
* move to shared memory graph store.
* fix.
* add more unit tests.
* fix.
* fix test.
* fix test.
* disable test.
* fix.
* [BUGIFX] fix a bug in edge_ids (#560 )
* add test.
* fix compute.
* fix test.
* turn on test.
* fix a bug.
* add test.
* fix.
* disable test.
* DGLRetValue DGLContext conversion
* [DEMO] Add Pytorch demo for distributed sampler (#562 )
* update
* update
* update
* add sender
* update
* remove duplicate cpde
* [Test] Add gtest to project (#547 )
* add gtest module
* add gtest
* fix
* Update CMakeLists.txt
* Update README.md
* Add support to convert immutable graph to 32 bits
* [Perf] lazily create msg_index. (#563 )
* lazily create msg_index.
* update test.
* fix binary reduce following new minigun template
* enable both int64 and int32 kernels
* [BUGFIX] fix bugs for running GCN on giant graphs. (#561 )
* load mxnet csr.
* enable load large csr.
* fix
* fix.
* fix int overflow.
* fix test.
* new kernel interface done for CPU
* docstring
* rename & docstring
* copy reduce and backward
* [BugFix] Fix error when bfs_level = 0 in Entity Classification with RGCN (#559 )
* [DEMO] Update demo of distributed sampler (#564 )
* update
* update
* update demo
* adapt cuda kernels to the new interface
* add network cpp test (#565 )
* fix bug
* Add unittest for C++ RPC (#566 )
* [CI] Fix CI for cpp test (#570 )
* fix CI for cpp test
* update port number
* [Docker] update docker image (#575 )
* update docker image
* specify lint version
* rm torch import from unified tests
* remove pytorch-specific test_function
* fix unittest
* fix
* fix unittest backend bug in converting tensor to numpy array
* fix
* mxnet version
* [BUGFIX] fix for MXNet 1.5. (#552 )
* remove clone.
* turn on numpy compatible.
* Revert "remove clone."
This reverts commit 17bbf76ed72ff178df6b3f35addc428048672457.
* revert format changes
* fix mxnet api name
* revert mistakes in previous revert
* roll back CI to 20190523 build
* fix unittest
* disable test_shared_mem_store.py for now
* remove mxnet/test_specialization.py
* sync win64 test script
* fix lowercase
* missing backend in gpu unit test
* transpose to get forward graph
* pass update all
* add sanity check
* passing test_specialization.py
* fix and pass test_function
* fix check
* fix pytorch softmax
* mxnet kernels
* c++ lint
* pylint
* try
* win build
* fix
* win
* ci enable gpu build
* init submodule recursively
* backend docstring
* try
* test win dev
* doc string
* disable pytorch test_nn
* try to fix windows issue
* bug fixed, revert changes
* [Test] fix CI. (#586 )
* disable unit test in mxnet tutorial.
* retry socket connection.
* roll back to set_np_compat
* try to fix multi-processing test hangs when it fails.
* fix test.
* fix.
* doc string
* doc string and clean up
* missing field in ctypes
* fix node flow schedule and unit test
* rename
* pylint
* copy from parent default context
* fix unit test script
* fix
* demo bug in nodeflow gpu test
* [Kernel][Bugfix] fix nodeflow bug (#604 )
* fix nodeflow bug
* remove debug code
* add build gtest option
* fix cmake; fix graph index bug in spmv.py
* remove clone
* fix div rhs grad bug
* [Kernel] Support full builtin method, edge softmax and unit tests (#605 )
* add full builtin support
* unit test
* unit test backend
* edge softmax
* apply edge with builtin
* fix kernel unit test
* disable mxnet test_shared_mem_store
* gen builtin reduce
* enable mxnet gpu unittest
* revert some changes
* docstring
* add note for the hack
* [Kernel][Unittest][CI] Fix MXNet GPU CI (#607 )
* update docker image for MXNet GPU CI
* force all dgl graph input and output on CPU
* fix gpu unittest
* speedup compilation
* add some comments
* lint
* add more comments
* fix as requested
* add some comments
* comment
* lint
* lint
* update pylint
* fix as requested
* lint
* lint
* lint
* docstrings of python DGL kernel entries
* disable lint warnings on arguments in kernel.py
* fix docstring in scheduler
* fix some bug in unittest; try again
* Revert "Merge branch 'kernel' of github.com:zzhang-cn/dgl into kernel"
This reverts commit 1d2299e68b004182ea6130b088de1f1122b18a49, reversing
changes made to ddc97fbf1bec2b7815c0da7c74f7ecb2f428889b.
* Revert "fix some bug in unittest; try again"
This reverts commit ddc97fbf1bec2b7815c0da7c74f7ecb2f428889b.
* more comprehensive kernel test
* remove shape check in test_specialization
2019-06-06 15:47:55 -04:00
Rhett Ying