- 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)

    # via keras-nightly
packaging==23.2 \
    --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \
    --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7
    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   auditwheel
    #   keras-nightly
    #   tb-nightly
portpicker==1.6.0 \

      - name: Checkout repository for nightly (skipped for releases)
        if: ${{ github.event_name == 'schedule' }}
        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
        with:
          ref: 'nightly'
      - name: Checkout repository for releases (skipped for nightly)
        if: ${{ github.event_name == 'push' }}

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 ~= 3.10.0.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

# Calculate the version number for choosing the final directory name. This adds
# "-devYYYYMMDD" to the end of the version string for nightly builds.
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  export TF_VER_FULL="$(tfrun bazel run //tensorflow/tools/ci_build:calculate_full_version -- --wheel-type nightly)"
else
  export TF_VER_FULL="$(tfrun bazel run //tensorflow/tools/ci_build:calculate_full_version -- --wheel-type release)"
fi

    # via keras-nightly
packaging==23.2 \
    --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \
    --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7
    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   auditwheel
    #   keras-nightly
    #   tb-nightly
portpicker==1.6.0 \

        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 {
            branch.nightlyPromotionTriggerHour?.let { triggerHour ->
                schedule {

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)/"

        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.nightlyPromotionTriggerHour?.let { triggerHour ->
                schedule {

  - type: dropdown
    id: tf-nightly
    attributes:
      label: Have you reproduced the bug with TensorFlow Nightly?
      description: It is strongly suggested that you reproduce the bug with [TensorFlow Nightly](https://www.tensorflow.org/install/pip#nightly)
      options:
        - "Yes"
        - "No"
    validations:
      required: true