Muhammed Fatih BALIN
b1e39432bf
[Build] Organize cmake file (Fixed) ( #7715 )
2024-08-18 10:15:01 -04:00
Hongzhi (Steve), Chen
4910eace8c
Revert "[Build] Organize cmake file." ( #7710 )
2024-08-16 15:29:56 +08:00
Muhammed Fatih BALIN
4032c2a80a
[Build] Organize cmake file. ( #7657 )
2024-08-06 08:48:10 -04:00
Muhammed Fatih BALIN
e9661d3b36
[CUDA] Add Ada architecture to DGL architecture list. ( #7282 )
2024-04-08 03:49:31 -04:00
Muhammed Fatih BALIN
60a27bc6e8
[GraphBolt][CUDA] Pass GPU architecture option from DGL ( #6792 )
2023-12-26 13:55:06 +08:00
Rhett Ying
fdeda8a862
[dev] update cuda cmake ( #6574 )
2023-11-16 11:57:15 +08:00
Rhett Ying
19096c6a8e
[dev] enable cuda12.1 build ( #6567 )
2023-11-15 11:08:07 +08:00
czkkkkkk
edcecdd0a1
[CMAKE] Move DGL cuda file declaration to the main CMakeLists.txt ( #6300 )
2023-09-12 17:07:40 +08:00
Hugo MacDermott-Opeskin
4a42027d4a
[Build] Add CMake changes from conda-forge build ( #6189 )
...
Co-authored-by: Hongzhi (Steve), Chen <chenhongzhi.nkcs@gmail.com >
2023-09-01 11:21:03 +08:00
Hongzhi (Steve), Chen
346410928f
[Misc] Cleanup old flags, and rely on BUILD_TYPE for all features. ( #6154 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-08-15 16:31:44 +08:00
Muhammed Fatih BALIN
f0d8ca1e40
[Dev] Change CXX standard to 17 ( #6138 )
2023-08-14 10:26:40 +08:00
Hongzhi (Steve), Chen
cff938c6ad
[Misc] Add comment to clarify __dgl_option. ( #6106 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-08-07 13:06:46 +08:00
Hongzhi (Steve), Chen
f7fef600e3
[Misc] Support build option: "all". ( #6102 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-08-07 12:48:32 +08:00
Hongzhi (Steve), Chen
d7410cf468
[Misc] Support DGL feature option. ( #6088 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-08-03 14:24:37 +08:00
Hongzhi (Steve), Chen
12ade95c9e
[Misc] Cleanup unused cmake util. ( #6084 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-08-02 14:55:51 +08:00
Hongzhi (Steve), Chen
ffd8edeb2a
[Misc] Cleanup duplicated flags. ( #6081 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-08-02 13:51:24 +08:00
Muhammed Fatih BALIN
224d6a6936
[Dev] Resolve compile issue with gcc 11.3.0 ( #6072 )
2023-08-01 14:37:24 +08:00
Muhammed Fatih BALIN
69a532c1ab
[Feature] Gpu cache for node and edge data ( #4341 )
...
Co-authored-by: xiny <xiny@nvidia.com >
2023-07-24 13:17:10 +08:00
Hongzhi (Steve), Chen
9ff56d2098
[Cleanup] Remove featgraph and unused TVM dependency. ( #5767 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2023-06-02 15:14:31 +08:00
Xin Yao
bea5c78b3f
[Fix] Remove curand host functions ( #5552 )
2023-04-17 10:37:46 +08:00
Xin Yao
acb955e15f
[Cleanup] Cleanup unused CMake options ( #5470 )
...
* cleanup unused cmake options
* disable BUILD_TORCH for cugraph
* resolve comments
2023-03-22 16:06:44 +08:00
Xin Yao
8d5d8962ad
[Refactor] Replace third_party/nccl with PyTorch's NCCL backend ( #4989 )
...
* expose GeneratePermutation
* add sparse_all_to_all_push
* add sparse_all_to_all_pull
* add unit test
* handle world_size=1
* remove python nccl wrapper
* remove the nccl dependency
* use pinned memory to speedup D2H copy
* fix lint
* resolve comments
* fix lint
* fix ut
* resolve comments
2023-03-08 12:59:10 +08:00
Xin Yao
7ee550f004
update cmake for cuda12 ( #5048 )
2023-01-05 10:47:10 +08:00
Xin Yao
65b34702e6
[Makefile] Refactor CUDA makefile and add Hopper (SM90) to default build ( #4830 )
...
* Update CUDA.cmake to align with PyTorch's
* add Ada and Hopper
* add more comments
* resolve comments
Co-authored-by: Triston <triston.cao@gmail.com >
2022-11-19 12:17:07 -08:00
czkkkkkk
06438d7033
[Sparse] Link to DGL ( #4877 )
2022-11-17 10:14:08 +08:00
lixiaobai
dd762a1e8a
[PinSAGESampler] support PinSAGE sampler on GPU ( #3567 )
...
* Feat: support API "randomwalk_topk" in library
* Feat: use the new API "randomwalk_topk" for PinSAGESampler
* Minor
* Minor
* Refactor: modified codes as checker required
* Minor
* Minor
* Minor
* Minor
* Fix: checking errors in RandomWalkTopk
* Refactor: modified the docstring for randomwalk_topk
* change randomwalk_topk to internal
* fix
* rename
* Minor for pinsage.py
* Feat: support randomwalk and SelectPinSageNeighbors on GPU
Port RandomWalk algorithm on GPU,
and port SelectPinSageNeighbors on GPU.
* Feat: support GPU on python APIs
* Feat: remove perf print information in FrequenchHashmap
* Fix: modified the code format
Modified the code format as task_lint.sh suggested
* Feat: let test script support PinSAGESampler on GPU
Let test script support PinSAGESampler on GPU,
minor of "restart_prob".
* Minor
* Minor
* Minor
* Refactor: use the atomic operations from the array module
* Minor: change the long lines
* Refactor: modified the get_node_types for gpu
* Feat: update the contributor date
* Perf: remove unnecessary stream sync
* Feat: support other random walk
But the non-uniform choice is still not supported.
* Fix: add CUDA switch for random walk
Co-authored-by: Quan Gan <coin2028@hotmail.com >
2021-12-15 13:42:26 +08:00
Hongyu Cai
9c41e97cc0
[Doc] Fix type in CUDA.cmake ( #3479 )
...
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2021-11-08 14:21:48 +08:00
David Min
905c0aa578
[Feature][Performance][GPU] Introducing UnifiedTensor for efficient zero-copy host memory access from GPU ( #3086 )
...
* 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
nv-dlasalle
7d069d62eb
Add Ampere support to cmake files ( #3031 )
...
* Update cmake to build Ampere
* Fix version check
2021-06-16 12:57:28 -07:00
nv-dlasalle
66eb240d15
[Bugfix] Include NCCL as a submodule ( #2934 )
...
* Add NCCL as a submodule
* Allow using third_party/nccl or system nccl
* Add nccl_external as a dependency
* Fix conditional
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com >
2021-05-25 09:46:16 +08:00
nv-dlasalle
ae8dbe6d3c
[Feature][Performance] Implement NCCL wrapper for communicating NodeEmbeddings and sparse gradients. ( #2825 )
...
* Split NCCL wrapper from sparse optimizer and sparse embedding
* Add more unit tests for single node nccl
* Fix unit test for tf
* Switch to device histogram
* Fix histgram issues
* Finish migration to histogram
* Handle cases with zero send/recieve data
* Start on partition object
* Get compiling
* Updates
* Add unit tests
* Switch to partition object
* Fix linting issues
* Rename partition file
* Add python doc
* Fix python assert and finish doxygen comments
* Remove stubs for range based partition to satisfy pylint
* Wrap unit test in GPU only
* Wrap explicit cuda call in ifdef
* Merge with partition.py
* update docstrings
* Cleanup partition_op
* Add Workspace object
* Switch to using workspace object
* Move last remainder based function out of nccl_api
* Add error messages
* Update docs with examples
* Fix linting erros
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com >
2021-05-20 10:58:17 -07:00
Tianqi Zhang (张天启)
c88fca5055
[Feature] Add edge coarsening for homogeneous undirected graphs ( #2691 )
...
* finish graph matching gpu version
* use C++ shuffle
* finish graph matching
* fix bug
* fix bug
* change name and use swap
* upt
* fix format problem
* fix format problem
* stronger test
* upt
* upt
* change python api
* upt
* upt
* format check
* upt
* upt
* fix bug
Co-authored-by: Tong He <hetong007@gmail.com >
2021-03-09 16:35:27 +08:00
nv-dlasalle
bc3a532f5e
[Sampling] Implement dgl.to_block() for the GPU ( #2339 )
...
* Add start of to_block gpu implementation
* Pull in more changes from 0.4.2 cuda_to_block
* Move more code to IdArray
* Refactor DeviceNodeMapMaker
* Updates
* get compiling
* Integrate to_block
* Fix ID allocation
* Minor fixes
* Cleanup cuda calls to use cuda_common
* Reduce kernel calls
* Lint cleanup
* Expand documentation
* Remove unused function
* Rename variables for consistency
* Add doxygen comments
* Fix file extension
* Remove raw asynccopy for deviceapi
* Remove unused function
* Fix block/tile configuration
* Add cuda_device_common.cuh
* Add basic hashtable
* Migrate part of hashtable
* Refactor to use external hashtable
* Make functions members
* Format hash table functions
* Migrate duplicate filling
* Move last function over
* Refactor with cu file
* lint c++ code
* Move context check to C++ code
* Use macro switch
* Add missing files
* Update docstring
* update docs
* Move atomic functions
* Refactor hashtable
* Fix linting
* Expand docs
* Fix mismatched argument names
* Switch doxygen comments from using @param to \param
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2021-02-08 13:00:43 +08:00
Zihao Ye
7bab1365e2
[feature] Supporting half precision floating data type (fp16). ( #2552 )
...
* add tvm as submodule
* compilation is ok but calling fails
* can call now
* pack multiple modules, change names
* upd
* upd
* upd
* fix cmake
* upd
* upd
* upd
* upd
* fix
* relative path
* upd
* upd
* upd
* singleton
* upd
* trigger
* fix
* upd
* count reducible
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* only keep related files
* upd
* upd
* upd
* upd
* lint
* lint
* lint
* lint
* pylint
* upd
* upd
* compilation
* fix
* upd
* upd
* upd
* upd
* upd
* upd
* upd doc
* refactor
* fix
* upd number
Co-authored-by: Zhi Lin <linzhilynn@gmail.com >
Co-authored-by: Ubuntu <ubuntu@ip-172-31-42-78.us-east-2.compute.internal >
Co-authored-by: Ubuntu <ubuntu@ip-172-31-21-156.us-east-2.compute.internal >
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
2021-01-28 11:21:58 +08:00
Zhi Lin
4208ce2b9e
[Feature] Tvm integration ( #2367 )
...
Co-authored-by: Zihao Ye <expye@outlook.com >
2020-12-31 17:40:25 +08:00
Quan (Andy) Gan
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
Zihao Ye
5d3da4bcef
[hotfix] Enable AVX optimization by default. ( #2438 )
2020-12-21 12:35:17 +08:00
Zihao Ye
e379e52585
[hotfix] Make USE_AVX a flag in cmake to avoid compilation error for arm user ( #2428 )
...
* upd cmake
* upd
* format
2020-12-17 17:29:15 +08:00
Minjie Wang
77968e30b5
[Build] use different flags for NVCC and CC ( #2342 )
2020-11-14 15:48:24 +08:00
Quan (Andy) Gan
501b2b75a5
[Bug] Multiple fixes for CUDA 11 support ( #2333 )
...
* multiple fixes
* fix CI
* fiddle
* revert stubs
* remove stubs
* poke
* remove linking of driver library
* minor
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2020-11-13 15:37:29 +08:00
Minjie Wang
4fb0241bfb
[CUDA] Add CUDA11 support ( #2308 )
...
* add support for cuda 11
* fix inc bug in pytorch 1.8
* poke ci
* fix
* small fix
* try fix
* try fix
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com >
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com >
2020-11-07 22:16:51 +08:00
Zihao Ye
5cff2f1cb2
[Feature] Use new cusparse API to support CUDA 11. ( #1979 )
...
* upd
* upd
* upd
* upd
* upd
* upd
* upd
* upd
2020-08-27 15:35:56 +08:00
Tong He
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
Minjie Wang
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
Quan (Andy) Gan
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
Quan (Andy) Gan
a1513f7c8f
update known gpu arch list ( #629 )
2019-06-10 10:40:36 +08:00
Quan (Andy) Gan
e35e860ae3
[Build] Support older CMake & OpenMP toggle ( #619 )
...
* cmake fixes for older systems
* allow specification of cuda path
* test script fixes to enable openmp & test
* update minigun; disable minigun partial frontier compile
2019-06-07 14:00:34 -04:00
Lingfan Yu
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 17bbf76ed7#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 1d2299e68bddc97fbf1bddc97fbf1b
2019-06-06 15:47:55 -04:00
Lingfan Yu
a1d50f0f53
[Refactor] Rename before release ( #261 )
...
* include/dgl/runtime
* include
* src/runtime
* src/graph
* src/scheduler
* src
* clean up CMakeLists
* further clean up in cmake
* install commands
* python/dgl/_ffi/_cython
* python/dgl/_ffi/_ctypes
* python/dgl/_ffi
* python/dgl
* some fix
* copy right
2018-12-05 16:45:36 -05:00
Minjie Wang
2694b12725
import ffi solution from TVM
2018-09-05 10:51:31 -04:00
