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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 = 60
// initialize source codes
def init_git() {
checkout scm
retry(5) {
timeout(time: 2, unit: 'MINUTES') {
sh 'git submodule update --init'
}
}
}
stage("Sanity Check") {
timeout(time: max_time, unit: 'MINUTES') {
node {
ws('workspace/sanity') {
init_git()
make('lint', 'cpplint rcpplint jnilint')
make('lint', 'pylint')
}
}
}
}
// 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} make ${make_flag}"
} catch (exc) {
echo 'Incremental compilation failed. Fall back to build from scratch'
sh "${docker_run} ${docker_type} make clean"
sh "${docker_run} ${docker_type} 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 ${libs} | sed -e 's/,/ /g' | xargs md5sum
"""
}
stage('Build') {
parallel 'CPU: Openblas': {
node {
ws('workspace/build-cpu') {
init_git()
def flag = """ \
USE_PROFILER=1 \
USE_BLAS=openblas \
-j\$(nproc)
"""
make("cpu", flag)
pack_lib('cpu')
}
}
},
'GPU: CUDA7.5+cuDNN5': {
node('GPU') {
ws('workspace/build-gpu') {
init_git()
def flag = """ \
USE_PROFILER=1 \
USE_BLAS=openblas \
USE_CUDA=1 \
USE_CUDA_PATH=/usr/local/cuda \
USE_CUDNN=1 \
-j\$(nproc)
"""
make('gpu', flag)
pack_lib('gpu')
}
}
},
'Amalgamation': {
node() {
ws('workspace/amalgamation') {
init_git()
make('cpu', '-C amalgamation/ USE_BLAS=openblas MIN=1')
}
}
},
'CPU: MKLML': {
node() {
ws('workspace/build-mklml') {
init_git()
def flag = """ \
USE_PROFILER=1 \
USE_BLAS=openblas \
USE_MKL2017=1 \
USE_MKL2017_EXPERIMENTAL=1 \
USE_CUDA=1 \
USE_CUDA_PATH=/usr/local/cuda \
USE_CUDNN=1 \
-j\$(nproc)
"""
make('mklml_gpu', flag)
pack_lib('mklml')
}
}
}
}
// Python unittest for CPU
def python_ut(docker_type) {
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} ${docker_type} PYTHONPATH=./python/ nosetests --with-timer --verbose tests/python/unittest"
sh "${docker_run} ${docker_type} PYTHONPATH=./python/ nosetests-3.4 --with-timer --verbose tests/python/unittest"
}
}
// GPU test has two parts. 1) run unittest on GPU, 2) compare the results on
// both CPU and GPU
def python_gpu_ut(docker_type) {
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} ${docker_type} PYTHONPATH=./python/ nosetests --with-timer --verbose tests/python/gpu"
sh "${docker_run} ${docker_type} PYTHONPATH=./python/ nosetests-3.4 --with-timer --verbose tests/python/gpu"
}
}
stage('Unit Test') {
parallel 'Python2/3: CPU': {
node {
ws('workspace/ut-python-cpu') {
init_git()
unpack_lib('cpu')
python_ut('cpu')
}
}
},
'Python2/3: GPU': {
node('GPU') {
ws('workspace/ut-python-gpu') {
init_git()
unpack_lib('gpu', mx_lib)
python_gpu_ut('gpu')
}
}
},
'Python2/3: MKLML': {
node('GPU') {
ws('workspace/ut-python-mklml') {
init_git()
unpack_lib('mklml')
python_ut('mklml_gpu')
python_gpu_ut('mklml_gpu')
}
}
},
'Scala: CPU': {
node {
ws('workspace/ut-scala-cpu') {
init_git()
unpack_lib('cpu')
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} cpu make scalapkg USE_BLAS=openblas"
sh "${docker_run} cpu make scalatest USE_BLAS=openblas"
}
}
}
}
}
stage('Integration Test') {
parallel 'Python': {
node('GPU') {
ws('workspace/it-python-gpu') {
init_git()
unpack_lib('gpu')
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} gpu PYTHONPATH=./python/ python example/image-classification/test_score.py"
}
}
}
},
'Caffe': {
node('GPU') {
ws('workspace/it-caffe') {
init_git()
unpack_lib('gpu')
timeout(time: max_time, unit: 'MINUTES') {
sh "${docker_run} caffe_gpu PYTHONPATH=/caffe/python:./python python tools/caffe_converter/test_converter.py"
}
}
}
}
}