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Jenkinsfile
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#!groovy
// -*- mode: groovy -*-
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
// Jenkins pipeline
// See documents at https://jenkins.io/doc/book/pipeline/jenkinsfile/
// Docker env used for testing
// Different image may have different version tag
// because some of them are more stable than anoter.
//
// Docker images are maintained by PMC, cached in dockerhub
// and remains relatively stable over the time.
// Flow for upgrading docker env(need commiter)
//
// - Send PR to upgrade build script in the repo
// - Build the new docker image
// - Tag the docker image with a new version and push to a binary cache.
// - Update the version in the Jenkinsfile, send a PR
// - Fix any issues wrt to the new image version in the PR
// - Merge the PR and now we are in new version
// - Tag the new version as the lates
// - Periodically cleanup the old versions on local workers
//
// Hashtag in the source to build current CI docker builds
//
//
import org.jenkinsci.plugins.pipeline.modeldefinition.Utils
// NOTE: these lines are scanned by docker/dev_common.sh. Please update the regex as needed. -->
ci_lint = "tlcpack/ci-lint:v0.67"
ci_gpu = "tlcpack/ci-gpu:v0.78"
ci_cpu = "tlcpack/ci-cpu:v0.79"
ci_wasm = "tlcpack/ci-wasm:v0.71"
ci_i386 = "tlcpack/ci-i386:v0.74"
ci_qemu = "tlcpack/ci-qemu:v0.08"
ci_arm = "tlcpack/ci-arm:v0.06"
// <--- End of regex-scanned config.
// Parameters to allow overriding (in Jenkins UI), the images
// to be used by a given build. When provided, they take precedence
// over default values above.
properties([
parameters([
string(name: 'ci_lint_param', defaultValue: ""),
string(name: 'ci_cpu_param', defaultValue: ""),
string(name: 'ci_gpu_param', defaultValue: ""),
string(name: 'ci_wasm_param', defaultValue: ""),
string(name: 'ci_i386_param', defaultValue: ""),
string(name: 'ci_qemu_param', defaultValue: ""),
string(name: 'ci_arm_param', defaultValue: "")
])
])
// tvm libraries
tvm_runtime = "build/libtvm_runtime.so, build/config.cmake"
tvm_lib = "build/libtvm.so, " + tvm_runtime
// LLVM upstream lib
tvm_multilib = "build/libtvm.so, " +
"build/libvta_fsim.so, " +
tvm_runtime
tvm_multilib_tsim = "build/libvta_tsim.so, " +
tvm_multilib
// command to start a docker container
docker_run = 'docker/bash.sh'
// timeout in minutes
max_time = 240
def per_exec_ws(folder) {
return "workspace/exec_${env.EXECUTOR_NUMBER}/" + folder
}
// initialize source codes
def init_git() {
// Add more info about job node
sh (
script: """
echo "INFO: NODE_NAME=${NODE_NAME} EXECUTOR_NUMBER=${EXECUTOR_NUMBER}"
""",
label: "Show executor node info",
)
checkout scm
retry(5) {
timeout(time: 2, unit: 'MINUTES') {
sh (script: 'git submodule update --init -f', label: "Update git submodules")
}
}
}
def cancel_previous_build() {
// cancel previous build if it is not on main.
if (env.BRANCH_NAME != "main") {
def buildNumber = env.BUILD_NUMBER as int
// Milestone API allows us to cancel previous build
// with the same milestone number
if (buildNumber > 1) milestone(buildNumber - 1)
milestone(buildNumber)
}
}
cancel_previous_build()
stage('Prepare') {
node('CPU') {
// When something is provided in ci_*_param, use it, otherwise default with ci_*
ci_lint = params.ci_lint_param ?: ci_lint
ci_cpu = params.ci_cpu_param ?: ci_cpu
ci_gpu = params.ci_gpu_param ?: ci_gpu
ci_wasm = params.ci_wasm_param ?: ci_wasm
ci_i386 = params.ci_i386_param ?: ci_i386
ci_qemu = params.ci_qemu_param ?: ci_qemu
ci_arm = params.ci_arm_param ?: ci_arm
sh (script: """
echo "Docker images being used in this build:"
echo " ci_lint = ${ci_lint}"
echo " ci_cpu = ${ci_cpu}"
echo " ci_gpu = ${ci_gpu}"
echo " ci_wasm = ${ci_wasm}"
echo " ci_i386 = ${ci_i386}"
echo " ci_qemu = ${ci_qemu}"
echo " ci_arm = ${ci_arm}"
""", label: "Docker image names")
}
}
stage('Sanity Check') {
timeout(time: max_time, unit: 'MINUTES') {
node('CPU') {
ws(per_exec_ws('tvm/sanity')) {
init_git()
is_docs_only_build = sh (
returnStatus: true,
script: './tests/scripts/git_change_docs.sh',
label: "Check for docs only changes",
)
sh (
script: "${docker_run} ${ci_lint} ./tests/scripts/task_lint.sh",
label: "Run lint",
)
}
}
}
}
// Run make. First try to do an incremental make from a previous workspace in hope to
// accelerate the compilation. If something is wrong, clean the workspace and then
// build from scratch.
def make(docker_type, path, make_flag) {
timeout(time: max_time, unit: 'MINUTES') {
try {
cmake_build(docker_type, path, make_flag)
// always run cpp test when build
cpp_unittest(docker_type)
} catch (hudson.AbortException ae) {
// script exited due to user abort, directly throw instead of retry
if (ae.getMessage().contains('script returned exit code 143')) {
throw ae
}
echo 'Incremental compilation failed. Fall back to build from scratch'
sh (
script: "${docker_run} ${docker_type} ./tests/scripts/task_clean.sh ${path}",
label: "Clear old cmake workspace",
)
cmake_build(docker_type, path, make_flag)
cpp_unittest(docker_type)
}
}
}
// pack libraries for later use
def pack_lib(name, libs) {
sh (script: """
echo "Packing ${libs} into ${name}"
echo ${libs} | sed -e 's/,/ /g' | xargs md5sum
""", label: "Stash libraries and show md5")
stash includes: libs, name: name
}
// unpack libraries saved before
def unpack_lib(name, libs) {
unstash name
sh (script: """
echo "Unpacked ${libs} from ${name}"
echo ${libs} | sed -e 's/,/ /g' | xargs md5sum
""", label: "Unstash libraries and show md5")
}
def ci_setup(image) {
sh (
script: "${docker_run} ${image} ./tests/scripts/task_ci_setup.sh",
label: "Set up CI environment",
)
}
def python_unittest(image) {
sh (
script: "${docker_run} ${image} ./tests/scripts/task_python_unittest.sh",
label: "Run Python unit tests",
)
}
def fsim_test(image) {
sh (
script: "${docker_run} ${image} ./tests/scripts/task_python_vta_fsim.sh",
label: "Run VTA tests in FSIM ",
)
}
def cmake_build(image, path, make_flag) {
sh (
script: "${docker_run} ${image} ./tests/scripts/task_build.sh ${path} ${make_flag}",
label: "Run cmake build",
)
}
def cpp_unittest(image) {
sh (
script: "${docker_run} ${image} ./tests/scripts/task_cpp_unittest.sh",
label: "Build and run C++ tests",
)
}
stage('Build') {
parallel 'BUILD: GPU': {
node('GPUBUILD') {
ws(per_exec_ws('tvm/build-gpu')) {
init_git()
sh "${docker_run} ${ci_gpu} ./tests/scripts/task_config_build_gpu.sh"
make(ci_gpu, 'build', '-j2')
pack_lib('gpu', tvm_multilib)
// compiler test
sh "${docker_run} ${ci_gpu} ./tests/scripts/task_config_build_gpu_other.sh"
make(ci_gpu, 'build2', '-j2')
}
}
},
'BUILD: CPU': {
if (is_docs_only_build != 1) {
node('CPU') {
ws(per_exec_ws('tvm/build-cpu')) {
init_git()
sh (
script: "${docker_run} ${ci_cpu} ./tests/scripts/task_config_build_cpu.sh",
label: "Create CPU cmake config",
)
make(ci_cpu, 'build', '-j2')
pack_lib('cpu', tvm_multilib_tsim)
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_cpu)
python_unittest(ci_cpu)
fsim_test(ci_cpu)
sh (
script: "${docker_run} ${ci_cpu} ./tests/scripts/task_python_vta_tsim.sh",
label: "Run VTA tests in TSIM",
)
// sh "${docker_run} ${ci_cpu} ./tests/scripts/task_golang.sh"
// TODO(@jroesch): need to resolve CI issue will turn back on in follow up patch
sh (script: "${docker_run} ${ci_cpu} ./tests/scripts/task_rust.sh", label: "Rust build and test")
junit "build/pytest-results/*.xml"
}
}
}
} else {
Utils.markStageSkippedForConditional('BUILD: CPU')
}
},
'BUILD: WASM': {
if (is_docs_only_build != 1) {
node('CPU') {
ws(per_exec_ws('tvm/build-wasm')) {
init_git()
sh (
script: "${docker_run} ${ci_wasm} ./tests/scripts/task_config_build_wasm.sh",
label: "Create WASM cmake config",
)
make(ci_wasm, 'build', '-j2')
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_wasm)
sh (
script: "${docker_run} ${ci_wasm} ./tests/scripts/task_web_wasm.sh",
label: "Run WASM lint and tests",
)
}
}
}
} else {
Utils.markStageSkippedForConditional('BUILD: WASM')
}
},
'BUILD: i386': {
if ( is_docs_only_build != 1) {
node('CPU') {
ws(per_exec_ws('tvm/build-i386')) {
init_git()
sh (
script: "${docker_run} ${ci_i386} ./tests/scripts/task_config_build_i386.sh",
label: "Create i386 cmake config",
)
make(ci_i386, 'build', '-j2')
pack_lib('i386', tvm_multilib_tsim)
}
}
} else {
Utils.markStageSkippedForConditional('BUILD: i386')
}
},
'BUILD: arm': {
if (is_docs_only_build != 1) {
node('ARM') {
ws(per_exec_ws('tvm/build-arm')) {
init_git()
sh (
script: "${docker_run} ${ci_arm} ./tests/scripts/task_config_build_arm.sh",
label: "Create ARM cmake config",
)
make(ci_arm, 'build', '-j4')
pack_lib('arm', tvm_multilib)
}
}
} else {
Utils.markStageSkippedForConditional('BUILD: arm')
}
},
'BUILD: QEMU': {
if (is_docs_only_build != 1) {
node('CPU') {
ws(per_exec_ws('tvm/build-qemu')) {
init_git()
sh (
script: "${docker_run} ${ci_qemu} ./tests/scripts/task_config_build_qemu.sh",
label: "Create QEMU cmake config",
)
make(ci_qemu, 'build', '-j2')
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_qemu)
sh (
script: "${docker_run} ${ci_qemu} ./tests/scripts/task_python_microtvm.sh",
label: "Run microTVM tests",
)
junit "build/pytest-results/*.xml"
}
}
}
} else {
Utils.markStageSkippedForConditional('BUILD: QEMU')
}
}
}
stage('Unit Test') {
parallel 'python3: GPU': {
if (is_docs_only_build != 1) {
node('TensorCore') {
ws(per_exec_ws('tvm/ut-python-gpu')) {
init_git()
unpack_lib('gpu', tvm_multilib)
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_gpu)
sh (
script: "${docker_run} ${ci_gpu} ./tests/scripts/task_sphinx_precheck.sh",
label: "Check Sphinx warnings in docs",
)
sh (
script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_unittest_gpuonly.sh",
label: "Run Python GPU unit tests",
)
sh (
script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_integration_gpuonly.sh",
label: "Run Python GPU integration tests",
)
junit "build/pytest-results/*.xml"
}
}
}
} else {
Utils.markStageSkippedForConditional('python3: GPU')
}
},
'python3: CPU': {
if (is_docs_only_build != 1) {
node('CPU') {
ws(per_exec_ws("tvm/ut-python-cpu")) {
init_git()
unpack_lib('cpu', tvm_multilib_tsim)
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_cpu)
sh (
script: "${docker_run} ${ci_cpu} ./tests/scripts/task_python_integration.sh",
label: "Run CPU integration tests",
)
junit "build/pytest-results/*.xml"
}
}
}
} else {
Utils.markStageSkippedForConditional('python3: CPU')
}
},
'python3: i386': {
if (is_docs_only_build != 1) {
node('CPU') {
ws(per_exec_ws('tvm/ut-python-i386')) {
init_git()
unpack_lib('i386', tvm_multilib)
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_i386)
python_unittest(ci_i386)
sh (
script: "${docker_run} ${ci_i386} ./tests/scripts/task_python_integration_i386only.sh",
label: "Run i386 integration tests",
)
fsim_test(ci_i386)
junit "build/pytest-results/*.xml"
}
}
}
} else {
Utils.markStageSkippedForConditional('python3: i386')
}
},
'python3: arm': {
if (is_docs_only_build != 1) {
node('ARM') {
ws(per_exec_ws('tvm/ut-python-arm')) {
init_git()
unpack_lib('arm', tvm_multilib)
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_arm)
python_unittest(ci_arm)
sh (
script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_arm_compute_library.sh",
label: "Run test_arm_compute_lib test",
)
junit "build/pytest-results/*.xml"
// sh "${docker_run} ${ci_arm} ./tests/scripts/task_python_integration.sh"
}
}
}
} else {
Utils.markStageSkippedForConditional('python3: arm')
}
},
'java: GPU': {
if (is_docs_only_build != 1 ) {
node('GPU') {
ws(per_exec_ws('tvm/ut-java')) {
init_git()
unpack_lib('gpu', tvm_multilib)
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_gpu)
sh (
script: "${docker_run} ${ci_gpu} ./tests/scripts/task_java_unittest.sh",
label: "Run Java unit tests",
)
}
}
}
} else {
Utils.markStageSkippedForConditional('java: GPU')
}
}
}
stage('Integration Test') {
parallel 'topi: GPU': {
if (is_docs_only_build != 1) {
node('GPU') {
ws(per_exec_ws('tvm/topi-python-gpu')) {
init_git()
unpack_lib('gpu', tvm_multilib)
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_gpu)
sh (
script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_topi.sh",
label: "Run TOPI tests",
)
junit "build/pytest-results/*.xml"
}
}
}
} else {
Utils.markStageSkippedForConditional('topi: GPU')
}
},
'frontend: GPU': {
if (is_docs_only_build != 1) {
node('GPU') {
ws(per_exec_ws('tvm/frontend-python-gpu')) {
init_git()
unpack_lib('gpu', tvm_multilib)
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_gpu)
sh (
script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_frontend.sh",
label: "Run Python frontend tests",
)
junit "build/pytest-results/*.xml"
}
}
}
} else {
Utils.markStageSkippedForConditional('frontend: GPU')
}
},
'frontend: CPU': {
if (is_docs_only_build != 1) {
node('CPU') {
ws(per_exec_ws('tvm/frontend-python-cpu')) {
init_git()
unpack_lib('cpu', tvm_multilib)
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_cpu)
sh (
script: "${docker_run} ${ci_cpu} ./tests/scripts/task_python_frontend_cpu.sh",
label: "Run Python frontend tests",
)
junit "build/pytest-results/*.xml"
}
}
}
} else {
Utils.markStageSkippedForConditional('frontend: CPU')
}
},
'docs: GPU': {
node('TensorCore') {
ws(per_exec_ws('tvm/docs-python-gpu')) {
init_git()
unpack_lib('gpu', tvm_multilib)
timeout(time: max_time, unit: 'MINUTES') {
ci_setup(ci_gpu)
sh (
script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_docs.sh",
label: "Build docs",
)
}
pack_lib('mydocs', 'docs.tgz')
}
}
}
}
/*
stage('Build packages') {
parallel 'conda CPU': {
node('CPU') {
sh "${docker_run} tlcpack/conda-cpu ./conda/build_cpu.sh
}
},
'conda cuda': {
node('CPU') {
sh "${docker_run} tlcpack/conda-cuda90 ./conda/build_cuda.sh
sh "${docker_run} tlcpack/conda-cuda100 ./conda/build_cuda.sh
}
}
// Here we could upload the packages to anaconda for releases
// and/or the main branch
}
*/
stage('Deploy') {
node('doc') {
ws(per_exec_ws('tvm/deploy-docs')) {
if (env.BRANCH_NAME == 'main') {
unpack_lib('mydocs', 'docs.tgz')
sh 'cp docs.tgz /var/docs/docs.tgz'
sh 'tar xf docs.tgz -C /var/docs'
}
}
}
}