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Jenkinsfile
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Jenkinsfile
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// -*- mode: groovy -*-
// Jenkins pipeline
// See documents at https://jenkins.io/doc/book/pipeline/jenkinsfile/
// mxnet libraries
mx_lib = 'lib/libmxnet.so, lib/libmxnet.a, dmlc-core/libdmlc.a, nnvm/lib/libnnvm.a'
// command to start a docker container
docker_run = 'tests/ci_build/ci_build.sh'
// timeout in minutes
max_time = 1440
// assign any caught errors here
err = null
// initialize source codes
def init_git() {
deleteDir()
retry(5) {
try {
timeout(time: 2, unit: 'MINUTES') {
checkout scm
sh 'git submodule update --init'
sh 'git clean -d -f'
}
} catch (exc) {
deleteDir()
error "Failed to fetch source codes with ${exc}"
sleep 2
}
}
}
def init_git_win() {
deleteDir()
retry(5) {
try {
timeout(time: 2, unit: 'MINUTES') {
checkout scm
bat 'git submodule update --init'
bat 'git clean -d -f'
}
} catch (exc) {
deleteDir()
error "Failed to fetch source codes with ${exc}"
sleep 2
}
}
}
// Run make. First try to do an incremental make from a previous workspace in hope to
// accelerate the compilation. If something wrong, clean the workspace and then
// build from scratch.
def make(docker_type, make_flag) {
timeout(time: max_time, unit: 'MINUTES') {
try {
sh "${docker_run} ${docker_type} --dockerbinary docker make ${make_flag}"
} catch (exc) {
echo 'Incremental compilation failed with ${exc}. Fall back to build from scratch'
sh "${docker_run} ${docker_type} --dockerbinary docker sudo make clean"
sh "${docker_run} ${docker_type} --dockerbinary docker sudo make -C amalgamation/ clean"
sh "${docker_run} ${docker_type} --dockerbinary docker make ${make_flag}"
}
}
}
// pack libraries for later use
def pack_lib(name, libs=mx_lib) {
sh """
echo "Packing ${libs} into ${name}"
echo ${libs} | sed -e 's/,/ /g' | xargs md5sum
"""
stash includes: libs, name: name
}
// unpack libraries saved before
def unpack_lib(name, libs=mx_lib) {
unstash name
sh """
echo "Unpacked ${libs} from ${name}"
echo ${libs} | sed -e 's/,/ /g' | xargs md5sum
"""
}
// Python unittest for CPU
// Python 2
def python2_ut(docker_type) {
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} ${docker_type} --dockerbinary docker find . -name '*.pyc' -type f -delete"
sh "${docker_run} ${docker_type} --dockerbinary docker PYTHONPATH=./python/ nosetests-2.7 --with-timer --verbose tests/python/unittest"
sh "${docker_run} ${docker_type} --dockerbinary docker PYTHONPATH=./python/ nosetests-2.7 --with-timer --verbose tests/python/train"
}
}
// Python 3
def python3_ut(docker_type) {
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} ${docker_type} --dockerbinary docker find . -name '*.pyc' -type f -delete"
sh "${docker_run} ${docker_type} --dockerbinary docker PYTHONPATH=./python/ nosetests-3.4 --with-timer --verbose tests/python/unittest"
}
}
// GPU test has two parts. 1) run unittest on GPU, 2) compare the results on
// both CPU and GPU
// Python 2
def python2_gpu_ut(docker_type) {
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} ${docker_type} find . -name '*.pyc' -type f -delete"
sh "${docker_run} ${docker_type} PYTHONPATH=./python/ nosetests-2.7 --with-timer --verbose tests/python/gpu"
}
}
// Python 3
def python3_gpu_ut(docker_type) {
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} ${docker_type} find . -name '*.pyc' -type f -delete"
sh "${docker_run} ${docker_type} PYTHONPATH=./python/ nosetests-3.4 --with-timer --verbose tests/python/gpu"
}
}
try {
stage("Sanity Check") {
timeout(time: max_time, unit: 'MINUTES') {
node('mxnetlinux-cpu') {
ws('workspace/sanity') {
init_git()
sh "python tools/license_header.py check"
make('lint', 'cpplint rcpplint jnilint')
make('lint', 'pylint')
}
}
}
}
stage('Build') {
parallel 'CPU: Openblas': {
node('mxnetlinux-cpu') {
ws('workspace/build-cpu') {
init_git()
def flag = """ \
DEV=1 \
USE_PROFILER=1 \
USE_CPP_PACKAGE=1 \
USE_BLAS=openblas \
-j\$(nproc)
"""
make("cpu", flag)
pack_lib('cpu')
}
}
},
'CPU: MKLML': {
node('mxnetlinux-cpu') {
ws('workspace/build-mklml-cpu') {
init_git()
def flag = """ \
DEV=1 \
USE_PROFILER=1 \
USE_CPP_PACKAGE=1 \
USE_BLAS=openblas \
USE_MKL2017=1 \
USE_MKL2017_EXPERIMENTAL=1 \
-j\$(nproc)
"""
make("cpu_mklml", flag)
pack_lib('mklml_cpu')
}
}
},
'GPU: MKLML': {
node('mxnetlinux-cpu') {
ws('workspace/build-mklml-gpu') {
init_git()
def flag = """ \
DEV=1 \
USE_PROFILER=1 \
USE_CPP_PACKAGE=1 \
USE_BLAS=openblas \
USE_MKL2017=1 \
USE_MKL2017_EXPERIMENTAL=1 \
USE_CUDA=1 \
USE_CUDA_PATH=/usr/local/cuda \
USE_CUDNN=1 \
-j\$(nproc)
"""
make("build_cuda", flag)
pack_lib('mklml_gpu')
}
}
},
'GPU: CUDA8.0+cuDNN5': {
node('mxnetlinux-cpu') {
ws('workspace/build-gpu') {
init_git()
def flag = """ \
DEV=1 \
USE_PROFILER=1 \
USE_BLAS=openblas \
USE_CUDA=1 \
USE_CUDA_PATH=/usr/local/cuda \
USE_CUDNN=1 \
USE_CPP_PACKAGE=1 \
-j\$(nproc)
"""
make('build_cuda', flag)
pack_lib('gpu')
stash includes: 'build/cpp-package/example/test_score', name: 'cpp_test_score'
}
}
},
'Amalgamation MIN': {
node('mxnetlinux-cpu') {
ws('workspace/amalgamationmin') {
init_git()
make('cpu', '-C amalgamation/ clean')
make('cpu', '-C amalgamation/ USE_BLAS=openblas MIN=1')
}
}
},
'Amalgamation': {
node('mxnetlinux-cpu') {
ws('workspace/amalgamation') {
init_git()
make('cpu', '-C amalgamation/ clean')
make('cpu', '-C amalgamation/ USE_BLAS=openblas')
}
}
},
'Build CPU windows':{
node('mxnetwindows-cpu') {
ws('workspace/build-cpu') {
withEnv(['OpenBLAS_HOME=C:\\mxnet\\openblas', 'OpenCV_DIR=C:\\mxnet\\opencv_vc14', 'CUDA_PATH=C:\\CUDA\\v8.0']) {
init_git_win()
bat """mkdir build_vc14_cpu
call "C:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\bin\\x86_amd64\\vcvarsx86_amd64.bat"
cd build_vc14_cpu
cmake -G \"Visual Studio 14 2015 Win64\" -DUSE_CUDA=0 -DUSE_CUDNN=0 -DUSE_NVRTC=0 -DUSE_OPENCV=1 -DUSE_OPENMP=1 -DUSE_PROFILER=1 -DUSE_BLAS=open -DUSE_LAPACK=1 -DUSE_DIST_KVSTORE=0 ${env.WORKSPACE}"""
bat 'C:\\mxnet\\build_vc14_cpu.bat'
bat '''rmdir /s/q pkg_vc14_cpu
mkdir pkg_vc14_cpu\\lib
mkdir pkg_vc14_cpu\\python
mkdir pkg_vc14_cpu\\include
mkdir pkg_vc14_cpu\\build
copy build_vc14_cpu\\Release\\libmxnet.lib pkg_vc14_cpu\\lib
copy build_vc14_cpu\\Release\\libmxnet.dll pkg_vc14_cpu\\build
xcopy python pkg_vc14_cpu\\python /E /I /Y
xcopy include pkg_vc14_cpu\\include /E /I /Y
xcopy dmlc-core\\include pkg_vc14_cpu\\include /E /I /Y
xcopy mshadow\\mshadow pkg_vc14_cpu\\include\\mshadow /E /I /Y
xcopy nnvm\\include pkg_vc14_cpu\\nnvm\\include /E /I /Y
del /Q *.7z
7z.exe a vc14_cpu.7z pkg_vc14_cpu\\
'''
stash includes: 'vc14_cpu.7z', name: 'vc14_cpu'
}
}
}
},
//Todo: Set specific CUDA_ARCh for windows builds in cmake
'Build GPU windows':{
node('mxnetwindows-cpu') {
ws('workspace/build-gpu') {
withEnv(['OpenBLAS_HOME=C:\\mxnet\\openblas', 'OpenCV_DIR=C:\\mxnet\\opencv_vc14', 'CUDA_PATH=C:\\CUDA\\v8.0']) {
init_git_win()
bat """mkdir build_vc14_gpu
call "C:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\bin\\x86_amd64\\vcvarsx86_amd64.bat"
cd build_vc14_gpu
cmake -G \"NMake Makefiles JOM\" -DUSE_CUDA=1 -DUSE_CUDNN=1 -DUSE_NVRTC=1 -DUSE_OPENCV=1 -DUSE_OPENMP=1 -DUSE_PROFILER=1 -DUSE_BLAS=open -DUSE_LAPACK=1 -DUSE_DIST_KVSTORE=0 -DCUDA_ARCH_NAME=All -DCMAKE_CXX_FLAGS_RELEASE="/FS /MD /O2 /Ob2 /DNDEBUG" -DCMAKE_BUILD_TYPE=Release ${env.WORKSPACE}"""
bat 'C:\\mxnet\\build_vc14_gpu.bat'
bat '''rmdir /s/q pkg_vc14_gpu
mkdir pkg_vc14_gpu\\lib
mkdir pkg_vc14_gpu\\python
mkdir pkg_vc14_gpu\\include
mkdir pkg_vc14_gpu\\build
copy build_vc14_gpu\\libmxnet.lib pkg_vc14_gpu\\lib
copy build_vc14_gpu\\libmxnet.dll pkg_vc14_gpu\\build
xcopy python pkg_vc14_gpu\\python /E /I /Y
xcopy include pkg_vc14_gpu\\include /E /I /Y
xcopy dmlc-core\\include pkg_vc14_gpu\\include /E /I /Y
xcopy mshadow\\mshadow pkg_vc14_gpu\\include\\mshadow /E /I /Y
xcopy nnvm\\include pkg_vc14_gpu\\nnvm\\include /E /I /Y
del /Q *.7z
7z.exe a vc14_gpu.7z pkg_vc14_gpu\\
'''
stash includes: 'vc14_gpu.7z', name: 'vc14_gpu'
}
}
}
}
}
stage('Unit Test') {
parallel 'Python2: CPU': {
node('mxnetlinux-cpu') {
ws('workspace/ut-python2-cpu') {
init_git()
unpack_lib('cpu')
python2_ut('cpu')
}
}
},
'Python3: CPU': {
node('mxnetlinux-cpu') {
ws('workspace/ut-python3-cpu') {
init_git()
unpack_lib('cpu')
python3_ut('cpu')
}
}
},
'Python2: GPU': {
node('mxnetlinux-gpu') {
ws('workspace/ut-python2-gpu') {
init_git()
unpack_lib('gpu', mx_lib)
python2_gpu_ut('gpu')
}
}
},
'Python3: GPU': {
node('mxnetlinux-gpu') {
ws('workspace/ut-python3-gpu') {
init_git()
unpack_lib('gpu', mx_lib)
python3_gpu_ut('gpu')
}
}
},
'Python2: MKLML-CPU': {
node('mxnetlinux-cpu') {
ws('workspace/ut-python2-mklml-cpu') {
init_git()
unpack_lib('mklml_cpu')
python2_ut('cpu_mklml')
}
}
},
'Python2: MKLML-GPU': {
node('mxnetlinux-gpu') {
ws('workspace/ut-python2-mklml-gpu') {
init_git()
unpack_lib('mklml_gpu')
python2_gpu_ut('gpu_mklml')
}
}
},
'Python3: MKLML-CPU': {
node('mxnetlinux-cpu') {
ws('workspace/ut-python3-mklml-cpu') {
init_git()
unpack_lib('mklml_cpu')
python3_ut('cpu_mklml')
}
}
},
'Python3: MKLML-GPU': {
node('mxnetlinux-gpu') {
ws('workspace/ut-python3-mklml-gpu') {
init_git()
unpack_lib('mklml_gpu')
python3_gpu_ut('gpu_mklml')
}
}
},
'Scala: CPU': {
node('mxnetlinux-cpu') {
ws('workspace/ut-scala-cpu') {
init_git()
unpack_lib('cpu')
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} cpu make scalapkg USE_BLAS=openblas"
sh "${docker_run} cpu make scalatest USE_BLAS=openblas"
}
}
}
},
'Perl: CPU': {
node('mxnetlinux-cpu') {
ws('workspace/ut-perl-cpu') {
init_git()
unpack_lib('cpu')
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} cpu ./perl-package/test.sh"
}
}
}
},
'Perl: GPU': {
node('mxnetlinux-gpu') {
ws('workspace/ut-perl-gpu') {
init_git()
unpack_lib('gpu')
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} gpu ./perl-package/test.sh"
}
}
}
},
'R: CPU': {
node('mxnetlinux-cpu') {
ws('workspace/ut-r-cpu') {
init_git()
unpack_lib('cpu')
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} cpu rm -rf .Renviron"
sh "${docker_run} cpu mkdir -p /workspace/ut-r-cpu/site-library"
sh "${docker_run} cpu make rpkg USE_BLAS=openblas R_LIBS=/workspace/ut-r-cpu/site-library"
sh "${docker_run} cpu R CMD INSTALL --library=/workspace/ut-r-cpu/site-library R-package"
sh "${docker_run} cpu make rpkgtest R_LIBS=/workspace/ut-r-cpu/site-library"
}
}
}
},
'R: GPU': {
node('mxnetlinux-gpu') {
ws('workspace/ut-r-gpu') {
init_git()
unpack_lib('gpu')
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} gpu rm -rf .Renviron"
sh "${docker_run} gpu mkdir -p /workspace/ut-r-gpu/site-library"
sh "${docker_run} gpu make rpkg USE_BLAS=openblas R_LIBS=/workspace/ut-r-gpu/site-library"
sh "${docker_run} gpu R CMD INSTALL --library=/workspace/ut-r-gpu/site-library R-package"
sh "${docker_run} gpu make rpkgtest R_LIBS=/workspace/ut-r-gpu/site-library R_GPU_ENABLE=1"
}
}
}
},
'Python 2: CPU Win':{
node('mxnetwindows-cpu') {
ws('workspace/ut-python-cpu') {
init_git_win()
unstash 'vc14_cpu'
bat '''rmdir /s/q pkg_vc14_cpu
7z x -y vc14_cpu.7z'''
bat """xcopy C:\\mxnet\\data data /E /I /Y
xcopy C:\\mxnet\\model model /E /I /Y
call activate py2
set PYTHONPATH=${env.WORKSPACE}\\pkg_vc14_cpu\\python
del /S /Q ${env.WORKSPACE}\\pkg_vc14_cpu\\python\\*.pyc
C:\\mxnet\\test_cpu.bat"""
}
}
},
'Python 3: CPU Win': {
node('mxnetwindows-cpu') {
ws('workspace/ut-python-cpu') {
init_git_win()
unstash 'vc14_cpu'
bat '''rmdir /s/q pkg_vc14_cpu
7z x -y vc14_cpu.7z'''
bat """xcopy C:\\mxnet\\data data /E /I /Y
xcopy C:\\mxnet\\model model /E /I /Y
call activate py3
set PYTHONPATH=${env.WORKSPACE}\\pkg_vc14_cpu\\python
del /S /Q ${env.WORKSPACE}\\pkg_vc14_cpu\\python\\*.pyc
C:\\mxnet\\test_cpu.bat"""
}
}
},
'Python 2: GPU Win':{
node('mxnetwindows-gpu') {
ws('workspace/ut-python-gpu') {
init_git_win()
unstash 'vc14_gpu'
bat '''rmdir /s/q pkg_vc14_gpu
7z x -y vc14_gpu.7z'''
bat """xcopy C:\\mxnet\\data data /E /I /Y
xcopy C:\\mxnet\\model model /E /I /Y
call activate py2
set PYTHONPATH=${env.WORKSPACE}\\pkg_vc14_gpu\\python
del /S /Q ${env.WORKSPACE}\\pkg_vc14_gpu\\python\\*.pyc
C:\\mxnet\\test_gpu.bat"""
}
}
},
'Python 3: GPU Win':{
node('mxnetwindows-gpu') {
ws('workspace/ut-python-gpu') {
init_git_win()
unstash 'vc14_gpu'
bat '''rmdir /s/q pkg_vc14_gpu
7z x -y vc14_gpu.7z'''
bat """xcopy C:\\mxnet\\data data /E /I /Y
xcopy C:\\mxnet\\model model /E /I /Y
call activate py3
set PYTHONPATH=${env.WORKSPACE}\\pkg_vc14_gpu\\python
del /S /Q ${env.WORKSPACE}\\pkg_vc14_gpu\\python\\*.pyc
C:\\mxnet\\test_gpu.bat"""
}
}
}
}
stage('Integration Test') {
parallel 'Python GPU': {
node('mxnetlinux-gpu') {
ws('workspace/it-python-gpu') {
init_git()
unpack_lib('gpu')
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} gpu --dockerbinary nvidia-docker PYTHONPATH=./python/ python example/image-classification/test_score.py"
}
}
}
},
'Caffe GPU': {
node('mxnetlinux-gpu') {
ws('workspace/it-caffe') {
init_git()
unpack_lib('gpu')
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} caffe_gpu --dockerbinary nvidia-docker PYTHONPATH=/caffe/python:./python python tools/caffe_converter/test_converter.py"
}
}
}
},
'cpp-package GPU': {
node('mxnetlinux-gpu') {
ws('workspace/it-cpp-package') {
init_git()
unpack_lib('gpu')
unstash 'cpp_test_score'
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} gpu --dockerbinary nvidia-docker cpp-package/tests/ci_test.sh"
}
}
}
}
}
stage('Deploy') {
node('mxnetlinux-cpu') {
ws('workspace/docs') {
if (env.BRANCH_NAME == "master") {
init_git()
sh "make clean"
sh "make docs"
}
}
}
}
// set build status to success at the end
currentBuild.result = "SUCCESS"
} catch (caughtError) {
node("mxnetlinux-cpu") {
sh "echo caught ${caughtError}"
err = caughtError
currentBuild.result = "FAILURE"
}
} finally {
node("mxnetlinux-cpu") {
// Only send email if master failed
if (currentBuild.result == "FAILURE" && env.BRANCH_NAME == "master") {
emailext body: 'Build for MXNet branch ${BRANCH_NAME} has broken. Please view the build at ${BUILD_URL}', replyTo: '${EMAIL}', subject: '[BUILD FAILED] Branch ${BRANCH_NAME} build ${BUILD_NUMBER}', to: '${EMAIL}'
}
// Remember to rethrow so the build is marked as failing
if (err) {
throw err
}
}
}