dmlc--dgl
15b951d4c4
* 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
* init version.
* change default value of regularization.
* avoid specifying adversarial_temperature
* use default eval_interval.
* remove original model.
* remove optimizer.
* set default value of num_proc
* set default value of log_interval.
* don't need to set neg_sample_size_valid.
* remove unused code.
* use uni_weight by default.
* unify model.
* rename model.
* remove unnecessary data sampler.
* remove the code for checkpoint.
* fix eval.
* raise exception in invalid arguments.
* remove RowAdagrad.
* remove unsupported score function for now.
* Fix bugs of kg
Update README
* Update Readme for mxnet distmult
* Update README.md
* Update README.md
* revert changes on dmlc
* add tests.
* update CI.
* add tests script.
* reorder tests in CI.
* measure performance.
* add results on wn18
* remove some code.
* rename the training script.
* new results on TransE.
* remove --train.
* add format.
* fix.
* use EdgeSubgraph.
* create PBGNegEdgeSubgraph to simplify the code.
* fix test
* fix CI.
* run nose for unit tests.
* remove unused code in dataset.
* change argument to save embeddings.
* test training and eval scripts in CI.
* check Pytorch version.
* fix a minor problem in config.
* fix a minor bug.
* fix readme.
* Update README.md
* Update README.md
* Update README.md
322 行
7.9 KiB
Groovy
322 行
7.9 KiB
Groovy
#!/usr/bin/env groovy
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dgl_linux_libs = "build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-35m-x86_64-linux-gnu.so"
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// Currently DGL on Windows is not working with Cython yet
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dgl_win64_libs = "build\\dgl.dll, build\\runUnitTests.exe"
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def init_git() {
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sh "rm -rf *"
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checkout scm
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sh "git submodule update --recursive --init"
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}
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def init_git_win64() {
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checkout scm
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bat "git submodule update --recursive --init"
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}
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// pack libraries for later use
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def pack_lib(name, libs) {
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echo "Packing ${libs} into ${name}"
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stash includes: libs, name: name
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}
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// unpack libraries saved before
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def unpack_lib(name, libs) {
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unstash name
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echo "Unpacked ${libs} from ${name}"
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}
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def build_dgl_linux(dev) {
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init_git()
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sh "bash tests/scripts/build_dgl.sh ${dev}"
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pack_lib("dgl-${dev}-linux", dgl_linux_libs)
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}
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def build_dgl_win64(dev) {
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/* Assuming that Windows slaves are already configured with MSBuild VS2017,
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* CMake and Python/pip/setuptools etc. */
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init_git_win64()
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bat "CALL tests\\scripts\\build_dgl.bat"
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pack_lib("dgl-${dev}-win64", dgl_win64_libs)
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}
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def cpp_unit_test_linux() {
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init_git()
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unpack_lib("dgl-cpu-linux", dgl_linux_libs)
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sh "bash tests/scripts/task_cpp_unit_test.sh"
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}
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def cpp_unit_test_win64() {
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init_git_win64()
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unpack_lib("dgl-cpu-win64", dgl_win64_libs)
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bat "CALL tests\\scripts\\task_cpp_unit_test.bat"
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}
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def unit_test_linux(backend, dev) {
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init_git()
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unpack_lib("dgl-${dev}-linux", dgl_linux_libs)
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timeout(time: 5, unit: 'MINUTES') {
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sh "bash tests/scripts/task_unit_test.sh ${backend} ${dev}"
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}
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}
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def unit_test_win64(backend, dev) {
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init_git_win64()
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unpack_lib("dgl-${dev}-win64", dgl_win64_libs)
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timeout(time: 2, unit: 'MINUTES') {
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bat "CALL tests\\scripts\\task_unit_test.bat ${backend}"
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}
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}
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def kg_test_linux(backend, dev) {
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init_git()
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unpack_lib("dgl-${dev}-linux", dgl_linux_libs)
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timeout(time: 20, unit: 'MINUTES') {
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sh "bash tests/scripts/task_kg_test.sh ${backend} ${dev}"
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}
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}
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def example_test_linux(backend, dev) {
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init_git()
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unpack_lib("dgl-${dev}-linux", dgl_linux_libs)
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timeout(time: 20, unit: 'MINUTES') {
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sh "bash tests/scripts/task_example_test.sh ${dev}"
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}
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}
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def example_test_win64(backend, dev) {
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init_git_win64()
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unpack_lib("dgl-${dev}-win64", dgl_win64_libs)
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timeout(time: 20, unit: 'MINUTES') {
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bat "CALL tests\\scripts\\task_example_test.bat ${dev}"
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}
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}
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def tutorial_test_linux(backend) {
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init_git()
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unpack_lib("dgl-cpu-linux", dgl_linux_libs)
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timeout(time: 20, unit: 'MINUTES') {
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sh "bash tests/scripts/task_${backend}_tutorial_test.sh"
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}
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}
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pipeline {
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agent any
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stages {
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stage("Lint Check") {
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agent { docker { image "dgllib/dgl-ci-lint" } }
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steps {
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init_git()
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sh "bash tests/scripts/task_lint.sh"
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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stage("Build") {
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parallel {
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stage("CPU Build") {
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agent { docker { image "dgllib/dgl-ci-cpu" } }
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steps {
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build_dgl_linux("cpu")
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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stage("GPU Build") {
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agent {
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docker {
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image "dgllib/dgl-ci-gpu"
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args "--runtime nvidia"
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}
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}
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steps {
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sh "nvidia-smi"
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build_dgl_linux("gpu")
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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stage("CPU Build (Win64)") {
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// Windows build machines are manually added to Jenkins master with
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// "windows" label as permanent agents.
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agent { label "windows" }
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steps {
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build_dgl_win64("cpu")
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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// Currently we don't have Windows GPU build machines
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}
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}
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stage("Test") {
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parallel {
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stage("C++ CPU") {
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agent { docker { image "dgllib/dgl-ci-cpu" } }
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steps {
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cpp_unit_test_linux()
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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stage("C++ CPU (Win64)") {
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agent { label "windows" }
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steps {
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cpp_unit_test_win64()
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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stage("Torch CPU") {
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agent { docker { image "dgllib/dgl-ci-cpu" } }
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stages {
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stage("Unit test") {
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steps {
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unit_test_linux("pytorch", "cpu")
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}
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}
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stage("Example test") {
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steps {
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example_test_linux("pytorch", "cpu")
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}
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}
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stage("Tutorial test") {
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steps {
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tutorial_test_linux("pytorch")
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}
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}
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stage("Knowledge Graph test") {
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steps {
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kg_test_linux("pytorch", "cpu")
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}
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}
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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stage("Torch CPU (Win64)") {
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agent { label "windows" }
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stages {
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stage("Unit test") {
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steps {
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unit_test_win64("pytorch", "cpu")
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}
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}
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stage("Example test") {
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steps {
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example_test_win64("pytorch", "cpu")
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}
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}
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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stage("Torch GPU") {
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agent {
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docker {
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image "dgllib/dgl-ci-gpu"
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args "--runtime nvidia"
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}
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}
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stages {
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stage("Unit test") {
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steps {
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sh "nvidia-smi"
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unit_test_linux("pytorch", "gpu")
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}
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}
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stage("Example test") {
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steps {
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example_test_linux("pytorch", "gpu")
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}
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}
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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stage("MXNet CPU") {
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agent { docker { image "dgllib/dgl-ci-cpu" } }
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stages {
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stage("Unit test") {
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steps {
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unit_test_linux("mxnet", "cpu")
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}
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}
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stage("Knowledge Graph test") {
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steps {
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kg_test_linux("mxnet", "cpu")
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}
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}
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//stage("Tutorial test") {
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// steps {
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// tutorial_test_linux("mxnet")
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// }
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//}
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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stage("MXNet GPU") {
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agent {
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docker {
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image "dgllib/dgl-ci-gpu"
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args "--runtime nvidia"
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}
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}
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stages {
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stage("Unit test") {
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steps {
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sh "nvidia-smi"
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unit_test_linux("mxnet", "gpu")
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}
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}
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}
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post {
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always {
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cleanWs disableDeferredWipeout: true, deleteDirs: true
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}
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}
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}
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}
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}
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}
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post {
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always {
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node('windows') {
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bat "rmvirtualenv ${BUILD_TAG}"
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}
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}
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}
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}
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