Hongzhi (Steve), Chen
86fe4c20fc
Remove datapipe from dgl dependency. ( #7667 )
...
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal >
2024-08-08 10:39:41 +08:00
Rhett Ying
64750575a2
[CI] upgrade torch to 2.3.0 and cuda to 12.1 ( #7399 )
2024-05-11 16:21:05 +08:00
Rhett Ying
9fde953d4b
[dev] remove unused dockerfiles ( #7398 )
2024-05-11 10:39:29 +08:00
Rhett Ying
e5263013a9
[CI] use torch 2.0.0, cu118, ubuntu2004, python310 ( #7158 )
2024-02-27 16:37:48 +08:00
Rhett Ying
3df4f8cb43
[CI] add pyg into CI image ( #6997 )
2024-01-23 15:23:41 +08:00
Rhett Ying
6dcdaf59ce
[CI] add torcheval into CI docker ( #6527 )
2023-11-03 18:49:13 +08:00
Rhett Ying
9e26c8e388
[GraphBolt] upgrade CUDA to 17 and update CI gpu image to torch2.0+cu118 ( #6505 )
2023-10-30 13:15:29 +08:00
Daniil Sizov
9c36f24fb4
Cpu docker tcmalloc ( #5969 )
2023-08-11 10:12:58 +08:00
Rhett Ying
b328b85f61
[CI] update python version for tensorflow ( #6125 )
2023-08-10 16:17:37 +08:00
Rhett Ying
e6e5430419
[CI]upgrade pytorch to 1.13+cpu_cu116 ( #5977 )
2023-07-11 22:18:28 +08:00
Rhett Ying
fa3fbbfb8f
[CI] update CI docker images ( #5796 )
2023-06-06 19:39:32 +08:00
Rhett Ying
a1fe08a8ca
[CI] install torchdadta in docker CI ( #5795 )
2023-06-06 14:23:55 +08:00
Hongzhi (Steve), Chen
0552466c9c
sort ( #5281 )
...
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal >
2023-02-16 13:06:46 +08:00
Hongzhi (Steve), Chen
f7a0c4bbf9
remove ( #5280 )
...
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal >
2023-02-16 12:57:49 +08:00
Rhett Ying
465828cdbc
[CI] pre-install required py packages in image for unit/tutorial test ( #5276 )
2023-02-10 19:11:30 +08:00
Rhett Ying
46455328e4
[CI] fix bugs for multigpu benchmarks ( #5140 )
2023-01-11 14:50:37 +08:00
Rhett Ying
46a3fc2b5f
[CI] updgrade pytorch version for benchmark CI ( #5102 )
...
* [CI] updgrade pytorch version for benchmark CI
* update build arguments
* updage
* updage
* upgrade torch to 1.13
* updage docker image
* update cmake args
* try with cu116_torch112
* update build
* update
* update
* update
* update docker image
* update
* update
* update
* update
* final update
* fix continue running
* update
* update
* update
2023-01-06 14:35:36 +08:00
Quan (Andy) Gan
00f2099934
[CI] upgrade CI pytorch version ( #5047 )
...
* upgrade CI pytorch version
* update
* revert tensorflow image
* old image (220816) backup
* Update Dockerfile.ci_gpu
2022-12-19 17:29:03 +08:00
Rhett Ying
d248e7686f
[CI] enable ssh in docker image for dist test ( #4432 )
2022-08-18 15:23:51 +08:00
Rhett Ying
cf4727a9d9
[CI] upgrade python version to 3.7.0 ( #4406 )
...
* [CI] upgrade python version to 3.7.0
* do not upgrade for mxnet cpu due to seg fault
* fix test failure for mxnet
2022-08-17 15:28:34 +08:00
Xin Yao
32f12ee19e
[Doc] Unify the minimal versions required for PyTorch/TensorFlow/MXNet ( #4180 )
2022-06-29 18:37:19 +08:00
Rhett Ying
5640b12969
[CI] Upgrade software version of CI docker image ( #4189 )
...
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2022-06-29 13:34:13 +08:00
Jinjing Zhou
338db32d21
[Feature] Try upload report to s3 ( #3891 )
...
refactor CI report and log
2022-04-22 16:02:12 +08:00
Jinjing Zhou
8f0136b0e3
Remove unnecessary jenkins part ( #3806 )
...
* fix
* try mount
* what's happening
* fix
* ci
2022-03-04 17:21:19 +08:00
Jinjing Zhou
e424d29614
[CI] Use torch 1.9.0 in CI ( #3752 )
2022-02-18 16:35:24 +08:00
Quan (Andy) Gan
92db4bd5a0
fix ( #3700 )
2022-01-28 20:51:15 +08:00
Jinjing Zhou
dc629fc564
update docker image to newer pytorch ( #3680 )
...
Co-authored-by: Mufei Li <mufeili1996@gmail.com >
2022-01-23 23:25:34 +08:00
Jinjing Zhou
a62f2c14f6
[CI] Increase CI cpu machine cpus ( #3595 )
2021-12-17 18:18:19 +08:00
Jinjing Zhou
a5dc230af9
Fix shared memory in unit test ( #3204 )
2021-07-30 15:02:09 +08:00
Jinjing Zhou
e57c6e3506
[Fix] Fix lint resource usage & Fix Docs ( #3032 )
...
* fix
* remove nvidiasmi
* fix
* fix docs
* fix
* fix
2021-06-18 18:33:52 +08:00
Jinjing Zhou
6a56562a7c
[CI] Use k8s cluster ( #2957 )
...
* add
* fix
* set default
* fix
* try master
* try fix
* try
* fix
* 111
* fix
* fix
* update
* ccc
* try
* fix
* fix
* try new machine
* fix
* fix
* fix
* Revert "fix"
This reverts commit e716d66b04717d8d852b
2021-06-04 18:31:11 +08:00
Quan (Andy) Gan
97bdae9e85
[Docker] Add Dependency Packages for CI ( #2713 )
...
* add ogb to docker build
* mxnet 1.6 disappeared
2021-03-02 22:16:31 +08:00
Jinjing Zhou
704ec68576
[Benchmark] Fix benchmark tests and add script to generate excel result ( #2681 )
...
* add script
* 21
* log
* fix regression tests
* add iter time
* fix
* Revert "fix"
This reverts commit 9b4587ad61wmjlyjemaine@gmail.com >
2021-02-24 19:41:49 +08:00
Jinjing Zhou
92321347c0
[CI] Update PyTorch in CI image to 1.5.1 ( #1808 )
...
* test
* Revert "test"
This reverts commit be555b06a9
2020-07-15 17:04:04 +08:00
Jinjing Zhou
6d04885381
[Backend] Turn to official dlpack for Tensorflow ( #1511 )
...
* Turn to official dlpack
* fix
* fix
2020-05-11 21:16:25 +08:00
Jinjing Zhou
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
Jinjing Zhou
c23a61bd5c
fix s3 link ( #1310 )
2020-03-04 21:01:29 +08:00
VoVAllen
d30a69bf27
[Backend] TF backend ( #978 )
...
* 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 ec63fb3506
2019-12-20 15:56:51 +08:00
VoVAllen
dd65ee211e
[CI] Change tests for flexibility
...
* change ci image
* fix
* force bash
* fix
* fix python version
* fix
* fix
* fix
* update gpu
* cuda
* jenkins
* fix build sh
* fix
* Revert "fix"
This reverts commit 6b091914b3e42c3035fa7d9a52f
2019-12-16 14:54:37 +08:00
xiang song(charlie.song)
93e3c49ddc
[KG] Update CI to cover Knowledge Graph ( #913 )
...
* upd
* fig edgebatch edges
* add test
* trigger
* Update README.md for pytorch PinSage example.
Add noting that the PinSage model example under
example/pytorch/recommendation only work with Python 3.6+
as its dataset loader depends on stanfordnlp package
which work only with Python 3.6+.
* Provid a frame agnostic API to test nn modules on both CPU and CUDA side.
1. make dgl.nn.xxx frame agnostic
2. make test.backend include dgl.nn modules
3. modify test_edge_softmax of test/mxnet/test_nn.py and
test/pytorch/test_nn.py work on both CPU and GPU
* Fix style
* Delete unused code
* Make agnostic test only related to tests/backend
1. clear all agnostic related code in dgl.nn
2. make test_graph_conv agnostic to cpu/gpu
* Fix code style
* fix
* doc
* Make all test code under tests.mxnet/pytorch.test_nn.py
work on both CPU and GPU.
* Fix syntex
* Remove rand
* Add TAGCN nn.module and example
* Now tagcn can run on CPU.
* Add unitest for TGConv
* Fix style
* For pubmed dataset, using --lr=0.005 can achieve better acc
* Fix style
* Fix some descriptions
* trigger
* Fix doc
* Add nn.TGConv and example
* Fix bug
* Update data in mxnet.tagcn test acc.
* Fix some comments and code
* delete useless code
* Fix namming
* Fix bug
* Fix bug
* Add test for mxnet TAGCov
* Add test code for mxnet TAGCov
* Update some docs
* Fix some code
* Update docs dgl.nn.mxnet
* Update weight init
* Fix
* reproduce the bug
* Fix concurrency bug reported at #755 .
Also make test_shared_mem_store.py more deterministic.
* Update test_shared_mem_store.py
* Update dmlc/core
* Update Knowledge Graph CI with new Docker image
* Remove unused line_profierx
* Poke Jenkins
* Update test with exit code check and simplify docker
* Update Jenkinsfile to make app test a standalone stage
* Update kg_test
* Update Jenkinsfile
* Make some KG test parallel
* Update
* KG MXNet does not support ComplEx
* Update Jenkinsfile
* Update Jenkins file
* Change torch-1.2 to torch-1.2-cu92
* ci
* Update ubuntu_install_mxnet_cpu.sh
* Update ubuntu_install_mxnet_gpu.sh
* We only need to test train and eval script.
Delete some test code
2019-10-11 01:32:34 -07:00
Da Zheng
70ee86648b
[Docker]Move to the latest MXNet version. ( #610 )
...
* use the right version of mxnet.
* fix.
2019-06-06 13:56:35 -07:00
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
Minjie Wang
5492994251
[CI] Fix CI bugs ( #592 )
...
* new jenkins script
* fix ci
* poke ci
* new config
* new config
* new config
* poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* update docker image; poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* poke ci
* update image
* update image
* fix
* Windows CI support
* typo
* typo*2
* missed sh
* typo*3
* missed dir
2019-06-01 14:32:39 -04:00
Lingfan Yu
ada3786c57
[Docker]Update MXNet CI Image ( #582 )
...
* use mxnet 20190528 build
* fix mxnet api name
2019-05-28 18:04:54 -07:00
Minjie Wang
c64405b1f6
[Docker] update docker image ( #575 )
...
* update docker image
* specify lint version
* rm torch import from unified tests
2019-05-27 17:04:46 -04:00
Minjie Wang
b5afaeac65
[CI] Small change on the MX CPU image ( #343 )
2019-01-07 15:59:34 -05:00
Da Zheng
dd26ff10a8
[CI] change the mxnet installation in docker. ( #218 )
2018-12-02 14:47:50 -05:00
Minjie Wang
cd3e25a064
[CI] add graphviz ( #147 )
2018-11-12 15:18:22 -05:00
VoVAllen
7cb50072a4
[Doc][Model] New Capsule Tutorial & Example ( #143 )
...
* new capsule tutorial
* capsule for new API
* fix deprecated API
* New tutorial and example
* investigate gc problem
* add viz code
* new capsule tutorial
* remove ipynb
* move u_hat
* add link
* add requirements.txt
* remove ani.save
* update ci to install requirements
* add graphviz
2018-11-12 12:43:13 -05:00
Minjie Wang
a95459e3a2
[CI] Improved CI ( #141 )
...
* change ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* update ci
* nx package
* update ci
* update ci
* update ci
* fix
* mx dockerfile by zhengda
* python3.6->3.5
* update ci image
* add tutorial test
* fix ci
* fix ssl problem
* minor change
* small fix on traversal utest
* fix syntax
* add matplotlib in image
* fix
* update ci
* update ci
2018-11-12 01:06:05 -05:00
