mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
132 lines
4.8 KiB
Groovy
132 lines
4.8 KiB
Groovy
@Library(['trtllm-jenkins-shared-lib@main']) _
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def createKubernetesPodConfig()
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{
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def targetCloud = "kubernetes-cpu"
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def selectors = """
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nvidia.com/node_type: builder
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kubernetes.io/os: linux"""
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def image = "urm.nvidia.com/docker/ubuntu:22.04"
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def podConfig = [
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cloud: targetCloud,
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namespace: "sw-tensorrt",
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yaml: """
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apiVersion: v1
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kind: Pod
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spec:
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qosClass: Guaranteed
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nodeSelector: ${selectors}
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containers:
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- name: alpine
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image: ${image}
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command: ['cat']
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tty: true
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resources:
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requests:
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cpu: '8'
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memory: 32Gi
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ephemeral-storage: 200Gi
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limits:
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cpu: '8'
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memory: 32Gi
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ephemeral-storage: 200Gi
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imagePullPolicy: Always
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qosClass: Guaranteed
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""".stripIndent(),
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]
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return podConfig
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}
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def getGitCredentialId (String repoUrlKey) {
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if (repoUrlKey == "tensorrt_llm_internal") {
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return 'svc_tensorrt_gitlab_api_token_no_username_as_string'
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} else {
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return 'github-token-trtllm-ci'
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}
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}
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def generate()
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{
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sh "pwd && ls -alh"
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container("alpine") {
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def LLM_REPO = "https://github.com/NVIDIA/TensorRT-LLM.git"
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if (params.repoUrlKey == "tensorrt_llm_internal") {
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withCredentials([string(credentialsId: 'default-llm-repo', variable: 'DEFAULT_LLM_REPO')]) {
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LLM_REPO = DEFAULT_LLM_REPO
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}
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}
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if (params.repoUrlKey == "custom_repo") {
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if (params.customRepoUrl == "") {
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throw new Exception("Invalid custom repo url provided")
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}
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LLM_REPO = params.customRepoUrl
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}
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def CREDENTIAL_ID = getGitCredentialId(params.repoUrlKey)
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sh "apt update"
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sh "apt install -y python3-dev git curl git-lfs"
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sh "git config --global --add safe.directory ${env.WORKSPACE}"
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sh "git config --global user.email \"90828364+tensorrt-cicd@users.noreply.github.com\""
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sh "git config --global user.name \"TensorRT LLM\""
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trtllm_utils.checkoutSource(LLM_REPO, params.branchName, env.WORKSPACE, false, true)
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sh "python3 --version"
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sh "curl -sSL https://install.python-poetry.org | POETRY_VERSION=1.8.5 python3 -"
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sh "cd ${env.WORKSPACE}"
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sh "/root/.local/bin/poetry -h"
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sh "export PATH=\"/root/.local/bin:\$PATH\" && python3 scripts/generate_lock_file.py"
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def count = sh(script: "git status --porcelain security_scanning/ | wc -l", returnStdout: true).trim()
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echo "Changed/untracked file count: ${count}"
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if (count == "0") {
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echo "No update that needs to be checked in"
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} else {
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sh "git status"
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sh "git add \$(find . -type f \\( -name 'poetry.lock' -o -name 'pyproject.toml' -o -name 'metadata.json' \\))"
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sh "git commit -s -m \"[None][infra] Check in most recent lock file from nightly pipeline\""
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withCredentials([string(credentialsId: CREDENTIAL_ID, variable: 'API_TOKEN')]) {
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def authedUrl = LLM_REPO.replaceFirst('https://', "https://svc_tensorrt:${API_TOKEN}@")
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sh "git remote set-url origin ${authedUrl}"
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sh "git fetch origin ${params.branchName}"
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sh "git status"
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sh "git rebase origin/${params.branchName}"
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sh "git push origin HEAD:${params.branchName}"
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}
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}
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}
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}
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pipeline {
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agent {
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kubernetes createKubernetesPodConfig()
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}
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parameters {
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string(name: 'branchName', defaultValue: 'main', description: 'the branch to generate the lock files')
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choice(name: 'repoUrlKey', choices: ['tensorrt_llm_github','tensorrt_llm_internal', 'custom_repo'], description: "The repo url to process, choose \"custom_repo\" if you want to set your own repo")
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string(name: 'customRepoUrl', defaultValue: '', description: 'Your custom repo to get processed, need to select \"custom_repo\" for repoUrlKey, otherwise it will be ignored')
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}
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options {
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skipDefaultCheckout()
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// to better analyze the time for each step/test
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timestamps()
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}
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triggers {
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parameterizedCron('''
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H 2 * * * %branchName=main;repoUrlKey=tensorrt_llm_github
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''')
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}
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stages {
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stage("Generating Poetry Locks"){
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agent {
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kubernetes createKubernetesPodConfig()
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}
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steps
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{
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generate()
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}
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}
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} // stages
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} // pipeline
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