```
$ pip install tensorflow-cpu
```

To update TensorFlow to the latest version, add `--upgrade` flag to the above
commands.

*Nightly binaries are available for testing using the
[tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
[tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPi.*

#### *Try your first TensorFlow program*

```shell
$ python
```

```python

        assertEquals(
            listOf("SanityCheck", "Nightly Snapshot", "Nightly Snapshot (from QuickFeedback)", "Nightly Snapshot (from QuickFeedback) - Check Ready", "Nightly Snapshot (from QuickFeedback) - Upload", "Nightly Snapshot (from QuickFeedback) - Promote", "Publish Branch Snapshot (from Quick Feedback)", "Release - Milestone", "Release - Release Candidate", "Release - Final", "Nightly Documentation"),
            model.buildTypes.map { it.name }

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)/"

    vcsRootId = gradlePromotionBranches
) {
    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 {

    vcsRootId = gradlePromotionBranches
) {
    init {
        id("Promotion_SnapshotFromQuickFeedback")
        name = "Nightly Snapshot (from QuickFeedback)"
        description = "Promotes the latest successful changes on '${branch.branchName}' from Quick Feedback as a new nightly snapshot"
    }

    vcsRootId = gradlePromotionBranches,
    cleanCheckout = false
) {
    init {
        id("Promotion_SnapshotFromQuickFeedbackStepCheckReady")
        name = "Nightly Snapshot (from QuickFeedback) - Check Ready"
        description = "Checks that a nightly snapshot can be published from QuickFeedback"
    }

#
absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \
    --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \
    --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e

ml_dtypes >= 0.4.0, < 0.5.0
# 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 ~= 3.0.0.dev
tb-nightly ~= 2.19.0.a
# Test dependencies
grpcio >= 1.24.3, < 2.0
portpicker == 1.6.0
scipy >= 1.13.0
requests >= 2.31.0
packaging==23.2

    triggerName = "ReadyforNightly",
    vcsRootId = gradlePromotionBranches
) {
    init {
        id("Promotion_Nightly")
        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 {

      - name: Checkout repository for nightly (skipped for releases)
        if: ${{ github.event_name == 'schedule' }}
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
        with:
          ref: 'nightly'
      - name: Checkout repository
        if: ${{ github.event_name == 'push' }}