name: Set nightly branch to master HEAD

permissions: {}

jobs:
  master-to-nightly:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
    - uses: zofrex/mirror-branch@0be56f4c8077a288a635a491b306ba0bb1c810e6 # v1.0.4
      name: Set nightly branch to master HEAD
      with:

        triggerName = "ReadyforNightly",
    ) {
    init {
        id(NIGHTLY_SNAPSHOT_BUILD_ID)
        name = "Nightly Snapshot"
        description =
            "Promotes the latest successful changes on '${branch.branchName}' from Ready for Nightly as a new nightly snapshot"

        triggers {
            val triggerHour = branch.determineNightlyPromotionTriggerHour() ?: return@triggers

- Nightly builds:
  - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz)
  - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)

        triggerName = StageName.PULL_REQUEST_FEEDBACK.uuid,
    ) {
    init {
        id("Promotion_NightlyDocumentation")
        name = "Nightly Documentation"
        description =
            "Promotes the latest successful documentation changes on '${branch.branchName}' from Ready for Nightly as a new nightly documentation snapshot"

        triggers {
            branch.determineNightlyPromotionTriggerHour()?.let { triggerHour ->

auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.12.0.dev
tb-nightly ~= 2.20.0.a
# For new protobuf, if V.x.y is gencode version, then runtime version U must be
# V <= U <= V+1

TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/nightly/"
TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse"
TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1
TFCI_ARTIFACT_LATEST_GCS_URI="gs://tensorflow/nightly/latest/"
TFCI_ARTIFACT_STAGING_GCS_ENABLE=1
TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-staging/staging/nightly/$(git rev-parse HEAD)/"

org.apache.lucene.util.LuceneTestCase$Slow @ Don't write slow tests
org.junit.Ignore @ Use AwaitsFix instead
org.apache.lucene.util.LuceneTestCase$Nightly @ We don't run nightly tests at this point!
com.carrotsearch.randomizedtesting.annotations.Nightly @ We don't run nightly tests at this point!

org.junit.Test @defaultMessage Just name your test method testFooBar

        cleanCheckout = false,
    ) {
    init {
        id("Promotion_SnapshotFromQuickFeedbackStepPromote")
        name = "Nightly Snapshot (from QuickFeedback) - Promote"
        description =
            "Promotes a previously built distribution on this agent on '${branch.branchName}' from Quick Feedback as a new nightly snapshot. This build checks out gradle-promote, so don't be misled by the 'master' branch."

        steps {
            buildStep(

auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.12.0.dev
tb-nightly ~= 2.20.0.a
# For new protobuf, if V.x.y is gencode version, then runtime version U must be
# V <= U <= V+1

      - name: Checkout repository for nightly (skipped for releases)
        if: ${{ github.event_name == 'schedule' }}
        uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
        with:
          ref: 'nightly'
      - name: Checkout repository
        if: ${{ github.event_name == 'push' }}