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Jenkinsfile
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#!/usr/bin/groovy
// -*- mode: groovy -*-
// Jenkins pipeline
// See documents at https://jenkins.io/doc/book/pipeline/jenkinsfile/
// Command to run command inside a docker container
dockerRun = 'tests/ci_build/ci_build.sh'
// Which CUDA version to use when building reference distribution wheel
ref_cuda_ver = '10.0'
import groovy.transform.Field
@Field
def commit_id // necessary to pass a variable from one stage to another
pipeline {
// Each stage specify its own agent
agent none
environment {
DOCKER_CACHE_ECR_ID = '492475357299'
DOCKER_CACHE_ECR_REGION = 'us-west-2'
}
// Setup common job properties
options {
ansiColor('xterm')
timestamps()
timeout(time: 240, unit: 'MINUTES')
buildDiscarder(logRotator(numToKeepStr: '10'))
preserveStashes()
}
// Build stages
stages {
stage('Jenkins Linux: Initialize') {
agent { label 'job_initializer' }
steps {
script {
def buildNumber = env.BUILD_NUMBER as int
if (buildNumber > 1) milestone(buildNumber - 1)
milestone(buildNumber)
checkoutSrcs()
commit_id = "${GIT_COMMIT}"
}
sh 'python3 tests/jenkins_get_approval.py'
stash name: 'srcs'
}
}
stage('Jenkins Linux: Build') {
agent none
steps {
script {
parallel ([
'clang-tidy': { ClangTidy() },
'build-cpu': { BuildCPU() },
'build-cpu-arm64': { BuildCPUARM64() },
'build-cpu-rabit-mock': { BuildCPUMock() },
// Build reference, distribution-ready Python wheel with CUDA 10.0
// using CentOS 6 image
'build-gpu-cuda10.0': { BuildCUDA(cuda_version: '10.0') },
// The build-gpu-* builds below use Ubuntu image
'build-gpu-cuda11.0': { BuildCUDA(cuda_version: '11.0', build_rmm: true) },
'build-gpu-rpkg': { BuildRPackageWithCUDA(cuda_version: '10.0') },
'build-jvm-packages-gpu-cuda10.0': { BuildJVMPackagesWithCUDA(spark_version: '3.0.0', cuda_version: '10.0') },
'build-jvm-packages': { BuildJVMPackages(spark_version: '3.0.0') },
'build-jvm-doc': { BuildJVMDoc() }
])
}
}
}
stage('Jenkins Linux: Test') {
agent none
steps {
script {
parallel ([
'test-python-cpu': { TestPythonCPU() },
'test-python-cpu-arm64': { TestPythonCPUARM64() },
// artifact_cuda_version doesn't apply to RMM tests; RMM tests will always match CUDA version between artifact and host env
'test-python-gpu-cuda11.0-cross': { TestPythonGPU(artifact_cuda_version: '10.0', host_cuda_version: '11.0', test_rmm: true) },
'test-python-gpu-cuda11.0': { TestPythonGPU(artifact_cuda_version: '11.0', host_cuda_version: '11.0') },
'test-python-mgpu-cuda11.0': { TestPythonGPU(artifact_cuda_version: '10.0', host_cuda_version: '11.0', multi_gpu: true, test_rmm: true) },
'test-cpp-gpu-cuda11.0': { TestCppGPU(artifact_cuda_version: '11.0', host_cuda_version: '11.0', test_rmm: true) },
'test-jvm-jdk8': { CrossTestJVMwithJDK(jdk_version: '8', spark_version: '3.0.0') },
'test-jvm-jdk11': { CrossTestJVMwithJDK(jdk_version: '11') },
'test-jvm-jdk12': { CrossTestJVMwithJDK(jdk_version: '12') }
])
}
}
}
stage('Jenkins Linux: Deploy') {
agent none
steps {
script {
parallel ([
'deploy-jvm-packages': { DeployJVMPackages(spark_version: '3.0.0') }
])
}
}
}
}
}
// check out source code from git
def checkoutSrcs() {
retry(5) {
try {
timeout(time: 2, unit: 'MINUTES') {
checkout scm
sh 'git submodule update --init'
}
} catch (exc) {
deleteDir()
error "Failed to fetch source codes"
}
}
}
def GetCUDABuildContainerType(cuda_version) {
return (cuda_version == ref_cuda_ver) ? 'gpu_build_centos6' : 'gpu_build'
}
def ClangTidy() {
node('linux && cpu_build') {
unstash name: 'srcs'
echo "Running clang-tidy job..."
def container_type = "clang_tidy"
def docker_binary = "docker"
def dockerArgs = "--build-arg CUDA_VERSION_ARG=10.1"
sh """
${dockerRun} ${container_type} ${docker_binary} ${dockerArgs} python3 tests/ci_build/tidy.py
"""
deleteDir()
}
}
def BuildCPU() {
node('linux && cpu') {
unstash name: 'srcs'
echo "Build CPU"
def container_type = "cpu"
def docker_binary = "docker"
sh """
${dockerRun} ${container_type} ${docker_binary} rm -fv dmlc-core/include/dmlc/build_config_default.h
# This step is not necessary, but here we include it, to ensure that DMLC_CORE_USE_CMAKE flag is correctly propagated
# We want to make sure that we use the configured header build/dmlc/build_config.h instead of include/dmlc/build_config_default.h.
# See discussion at https://github.com/dmlc/xgboost/issues/5510
${dockerRun} ${container_type} ${docker_binary} tests/ci_build/build_via_cmake.sh -DPLUGIN_LZ4=ON -DPLUGIN_DENSE_PARSER=ON
${dockerRun} ${container_type} ${docker_binary} bash -c "cd build && ctest --extra-verbose"
"""
// Sanitizer test
def docker_extra_params = "CI_DOCKER_EXTRA_PARAMS_INIT='-e ASAN_SYMBOLIZER_PATH=/usr/bin/llvm-symbolizer -e ASAN_OPTIONS=symbolize=1 -e UBSAN_OPTIONS=print_stacktrace=1:log_path=ubsan_error.log --cap-add SYS_PTRACE'"
sh """
${dockerRun} ${container_type} ${docker_binary} tests/ci_build/build_via_cmake.sh -DUSE_SANITIZER=ON -DENABLED_SANITIZERS="address;leak;undefined" \
-DCMAKE_BUILD_TYPE=Debug -DSANITIZER_PATH=/usr/lib/x86_64-linux-gnu/
${docker_extra_params} ${dockerRun} ${container_type} ${docker_binary} bash -c "cd build && ctest --exclude-regex AllTestsInDMLCUnitTests --extra-verbose"
"""
stash name: 'xgboost_cli', includes: 'xgboost'
deleteDir()
}
}
def BuildCPUARM64() {
node('linux && arm64') {
unstash name: 'srcs'
echo "Build CPU ARM64"
def container_type = "aarch64"
def docker_binary = "docker"
def wheel_tag = "manylinux2014_aarch64"
sh """
${dockerRun} ${container_type} ${docker_binary} tests/ci_build/build_via_cmake.sh --conda-env=aarch64_test -DOPEN_MP:BOOL=ON -DHIDE_CXX_SYMBOL=ON
${dockerRun} ${container_type} ${docker_binary} bash -c "cd build && ctest --extra-verbose"
${dockerRun} ${container_type} ${docker_binary} bash -c "cd python-package && rm -rf dist/* && python setup.py bdist_wheel --universal"
${dockerRun} ${container_type} ${docker_binary} python tests/ci_build/rename_whl.py python-package/dist/*.whl ${commit_id} ${wheel_tag}
${dockerRun} ${container_type} ${docker_binary} bash -c "auditwheel repair --plat ${wheel_tag} python-package/dist/*.whl && python tests/ci_build/rename_whl.py wheelhouse/*.whl ${commit_id} ${wheel_tag}"
mv -v wheelhouse/*.whl python-package/dist/
# Make sure that libgomp.so is vendored in the wheel
${dockerRun} ${container_type} ${docker_binary} bash -c "unzip -l python-package/dist/*.whl | grep libgomp || exit -1"
"""
echo 'Stashing Python wheel...'
stash name: "xgboost_whl_arm64_cpu", includes: 'python-package/dist/*.whl'
if (env.BRANCH_NAME == 'master' || env.BRANCH_NAME.startsWith('release')) {
echo 'Uploading Python wheel...'
path = ("${BRANCH_NAME}" == 'master') ? '' : "${BRANCH_NAME}/"
s3Upload bucket: 'xgboost-nightly-builds', path: path, acl: 'PublicRead', workingDir: 'python-package/dist', includePathPattern:'**/*.whl'
}
stash name: 'xgboost_cli_arm64', includes: 'xgboost'
deleteDir()
}
}
def BuildCPUMock() {
node('linux && cpu') {
unstash name: 'srcs'
echo "Build CPU with rabit mock"
def container_type = "cpu"
def docker_binary = "docker"
sh """
${dockerRun} ${container_type} ${docker_binary} tests/ci_build/build_mock_cmake.sh
"""
echo 'Stashing rabit C++ test executable (xgboost)...'
stash name: 'xgboost_rabit_tests', includes: 'xgboost'
deleteDir()
}
}
def BuildCUDA(args) {
node('linux && cpu_build') {
unstash name: 'srcs'
echo "Build with CUDA ${args.cuda_version}"
def container_type = GetCUDABuildContainerType(args.cuda_version)
def docker_binary = "docker"
def docker_args = "--build-arg CUDA_VERSION_ARG=${args.cuda_version}"
def arch_flag = ""
if (env.BRANCH_NAME != 'master' && !(env.BRANCH_NAME.startsWith('release'))) {
arch_flag = "-DGPU_COMPUTE_VER=75"
}
def wheel_tag = "manylinux2010_x86_64"
sh """
${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/build_via_cmake.sh -DUSE_CUDA=ON -DUSE_NCCL=ON -DOPEN_MP:BOOL=ON -DHIDE_CXX_SYMBOLS=ON ${arch_flag}
${dockerRun} ${container_type} ${docker_binary} ${docker_args} bash -c "cd python-package && rm -rf dist/* && python setup.py bdist_wheel --universal"
${dockerRun} ${container_type} ${docker_binary} ${docker_args} python tests/ci_build/rename_whl.py python-package/dist/*.whl ${commit_id} ${wheel_tag}
"""
if (args.cuda_version == ref_cuda_ver) {
sh """
${dockerRun} auditwheel_x86_64 ${docker_binary} auditwheel repair --plat ${wheel_tag} python-package/dist/*.whl
${dockerRun} ${container_type} ${docker_binary} ${docker_args} python tests/ci_build/rename_whl.py wheelhouse/*.whl ${commit_id} ${wheel_tag}
mv -v wheelhouse/*.whl python-package/dist/
# Make sure that libgomp.so is vendored in the wheel
${dockerRun} auditwheel_x86_64 ${docker_binary} bash -c "unzip -l python-package/dist/*.whl | grep libgomp || exit -1"
"""
}
echo 'Stashing Python wheel...'
stash name: "xgboost_whl_cuda${args.cuda_version}", includes: 'python-package/dist/*.whl'
if (args.cuda_version == ref_cuda_ver && (env.BRANCH_NAME == 'master' || env.BRANCH_NAME.startsWith('release'))) {
echo 'Uploading Python wheel...'
path = ("${BRANCH_NAME}" == 'master') ? '' : "${BRANCH_NAME}/"
s3Upload bucket: 'xgboost-nightly-builds', path: path, acl: 'PublicRead', workingDir: 'python-package/dist', includePathPattern:'**/*.whl'
}
echo 'Stashing C++ test executable (testxgboost)...'
stash name: "xgboost_cpp_tests_cuda${args.cuda_version}", includes: 'build/testxgboost'
if (args.build_rmm) {
echo "Build with CUDA ${args.cuda_version} and RMM"
container_type = "rmm"
docker_binary = "docker"
docker_args = "--build-arg CUDA_VERSION_ARG=${args.cuda_version}"
sh """
rm -rf build/
${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/build_via_cmake.sh --conda-env=gpu_test -DUSE_CUDA=ON -DUSE_NCCL=ON -DPLUGIN_RMM=ON ${arch_flag}
${dockerRun} ${container_type} ${docker_binary} ${docker_args} bash -c "cd python-package && rm -rf dist/* && python setup.py bdist_wheel --universal"
${dockerRun} ${container_type} ${docker_binary} ${docker_args} python tests/ci_build/rename_whl.py python-package/dist/*.whl ${commit_id} manylinux2010_x86_64
"""
echo 'Stashing Python wheel...'
stash name: "xgboost_whl_rmm_cuda${args.cuda_version}", includes: 'python-package/dist/*.whl'
echo 'Stashing C++ test executable (testxgboost)...'
stash name: "xgboost_cpp_tests_rmm_cuda${args.cuda_version}", includes: 'build/testxgboost'
}
deleteDir()
}
}
def BuildRPackageWithCUDA(args) {
node('linux && cpu_build') {
unstash name: 'srcs'
def container_type = 'gpu_build_r_centos6'
def docker_binary = "docker"
def docker_args = "--build-arg CUDA_VERSION_ARG=10.0"
if (env.BRANCH_NAME == 'master' || env.BRANCH_NAME.startsWith('release')) {
sh """
${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/build_r_pkg_with_cuda.sh ${commit_id}
"""
echo 'Uploading R tarball...'
path = ("${BRANCH_NAME}" == 'master') ? '' : "${BRANCH_NAME}/"
s3Upload bucket: 'xgboost-nightly-builds', path: path, acl: 'PublicRead', includePathPattern:'xgboost_r_gpu_linux_*.tar.gz'
}
deleteDir()
}
}
def BuildJVMPackagesWithCUDA(args) {
node('linux && mgpu') {
unstash name: 'srcs'
echo "Build XGBoost4J-Spark with Spark ${args.spark_version}, CUDA ${args.cuda_version}"
def container_type = "jvm_gpu_build"
def docker_binary = "nvidia-docker"
def docker_args = "--build-arg CUDA_VERSION_ARG=${args.cuda_version}"
def arch_flag = ""
if (env.BRANCH_NAME != 'master' && !(env.BRANCH_NAME.startsWith('release'))) {
arch_flag = "-DGPU_COMPUTE_VER=75"
}
// Use only 4 CPU cores
def docker_extra_params = "CI_DOCKER_EXTRA_PARAMS_INIT='--cpuset-cpus 0-3'"
sh """
${docker_extra_params} ${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/build_jvm_packages.sh ${args.spark_version} -Duse.cuda=ON $arch_flag
"""
echo "Stashing XGBoost4J JAR with CUDA ${args.cuda_version} ..."
stash name: 'xgboost4j_jar_gpu', includes: "jvm-packages/xgboost4j-gpu/target/*.jar,jvm-packages/xgboost4j-spark-gpu/target/*.jar"
deleteDir()
}
}
def BuildJVMPackages(args) {
node('linux && cpu') {
unstash name: 'srcs'
echo "Build XGBoost4J-Spark with Spark ${args.spark_version}"
def container_type = "jvm"
def docker_binary = "docker"
// Use only 4 CPU cores
def docker_extra_params = "CI_DOCKER_EXTRA_PARAMS_INIT='--cpuset-cpus 0-3'"
sh """
${docker_extra_params} ${dockerRun} ${container_type} ${docker_binary} tests/ci_build/build_jvm_packages.sh ${args.spark_version}
"""
echo 'Stashing XGBoost4J JAR...'
stash name: 'xgboost4j_jar', includes: "jvm-packages/xgboost4j/target/*.jar,jvm-packages/xgboost4j-spark/target/*.jar,jvm-packages/xgboost4j-example/target/*.jar"
deleteDir()
}
}
def BuildJVMDoc() {
node('linux && cpu') {
unstash name: 'srcs'
echo "Building JVM doc..."
def container_type = "jvm"
def docker_binary = "docker"
sh """
${dockerRun} ${container_type} ${docker_binary} tests/ci_build/build_jvm_doc.sh ${BRANCH_NAME}
"""
if (env.BRANCH_NAME == 'master' || env.BRANCH_NAME.startsWith('release')) {
echo 'Uploading doc...'
s3Upload file: "jvm-packages/${BRANCH_NAME}.tar.bz2", bucket: 'xgboost-docs', acl: 'PublicRead', path: "${BRANCH_NAME}.tar.bz2"
}
deleteDir()
}
}
def TestPythonCPU() {
node('linux && cpu') {
unstash name: "xgboost_whl_cuda${ref_cuda_ver}"
unstash name: 'srcs'
unstash name: 'xgboost_cli'
echo "Test Python CPU"
def container_type = "cpu"
def docker_binary = "docker"
sh """
${dockerRun} ${container_type} ${docker_binary} tests/ci_build/test_python.sh cpu
"""
deleteDir()
}
}
def TestPythonCPUARM64() {
node('linux && arm64') {
unstash name: "xgboost_whl_arm64_cpu"
unstash name: 'srcs'
unstash name: 'xgboost_cli_arm64'
echo "Test Python CPU ARM64"
def container_type = "aarch64"
def docker_binary = "docker"
sh """
${dockerRun} ${container_type} ${docker_binary} tests/ci_build/test_python.sh cpu-arm64
"""
deleteDir()
}
}
def TestPythonGPU(args) {
def nodeReq = (args.multi_gpu) ? 'linux && mgpu' : 'linux && gpu'
def artifact_cuda_version = (args.artifact_cuda_version) ?: ref_cuda_ver
node(nodeReq) {
unstash name: "xgboost_whl_cuda${artifact_cuda_version}"
unstash name: "xgboost_cpp_tests_cuda${artifact_cuda_version}"
unstash name: 'srcs'
echo "Test Python GPU: CUDA ${args.host_cuda_version}"
def container_type = "gpu"
def docker_binary = "nvidia-docker"
def docker_args = "--build-arg CUDA_VERSION_ARG=${args.host_cuda_version}"
def mgpu_indicator = (args.multi_gpu) ? 'mgpu' : 'gpu'
// Allocate extra space in /dev/shm to enable NCCL
def docker_extra_params = (args.multi_gpu) ? "CI_DOCKER_EXTRA_PARAMS_INIT='--shm-size=4g'" : ''
sh "${docker_extra_params} ${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/test_python.sh ${mgpu_indicator}"
if (args.test_rmm) {
sh "rm -rfv build/ python-package/dist/"
unstash name: "xgboost_whl_rmm_cuda${args.host_cuda_version}"
unstash name: "xgboost_cpp_tests_rmm_cuda${args.host_cuda_version}"
sh "${docker_extra_params} ${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/test_python.sh ${mgpu_indicator} --use-rmm-pool"
}
deleteDir()
}
}
def TestCppGPU(args) {
def nodeReq = 'linux && mgpu'
def artifact_cuda_version = (args.artifact_cuda_version) ?: ref_cuda_ver
node(nodeReq) {
unstash name: "xgboost_cpp_tests_cuda${artifact_cuda_version}"
unstash name: 'srcs'
echo "Test C++, CUDA ${args.host_cuda_version}"
def container_type = "gpu"
def docker_binary = "nvidia-docker"
def docker_args = "--build-arg CUDA_VERSION_ARG=${args.host_cuda_version}"
sh "${dockerRun} ${container_type} ${docker_binary} ${docker_args} build/testxgboost"
if (args.test_rmm) {
sh "rm -rfv build/"
unstash name: "xgboost_cpp_tests_rmm_cuda${args.host_cuda_version}"
echo "Test C++, CUDA ${args.host_cuda_version} with RMM"
container_type = "rmm"
docker_binary = "nvidia-docker"
docker_args = "--build-arg CUDA_VERSION_ARG=${args.host_cuda_version}"
sh """
${dockerRun} ${container_type} ${docker_binary} ${docker_args} bash -c "source activate gpu_test && build/testxgboost --use-rmm-pool --gtest_filter=-*DeathTest.*"
"""
}
deleteDir()
}
}
def CrossTestJVMwithJDK(args) {
node('linux && cpu') {
unstash name: 'xgboost4j_jar'
unstash name: 'srcs'
if (args.spark_version != null) {
echo "Test XGBoost4J on a machine with JDK ${args.jdk_version}, Spark ${args.spark_version}"
} else {
echo "Test XGBoost4J on a machine with JDK ${args.jdk_version}"
}
def container_type = "jvm_cross"
def docker_binary = "docker"
def spark_arg = (args.spark_version != null) ? "--build-arg SPARK_VERSION=${args.spark_version}" : ""
def docker_args = "--build-arg JDK_VERSION=${args.jdk_version} ${spark_arg}"
// Run integration tests only when spark_version is given
def docker_extra_params = (args.spark_version != null) ? "CI_DOCKER_EXTRA_PARAMS_INIT='-e RUN_INTEGRATION_TEST=1'" : ""
sh """
${docker_extra_params} ${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/test_jvm_cross.sh
"""
deleteDir()
}
}
def DeployJVMPackages(args) {
node('linux && cpu') {
unstash name: 'srcs'
if (env.BRANCH_NAME == 'master' || env.BRANCH_NAME.startsWith('release')) {
echo 'Deploying to xgboost-maven-repo S3 repo...'
sh """
${dockerRun} jvm_gpu_build docker --build-arg CUDA_VERSION_ARG=10.0 tests/ci_build/deploy_jvm_packages.sh ${args.spark_version}
"""
}
deleteDir()
}
}