# 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 \

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

```
 pip install tensorflow-cpu
```

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

*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

    # 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 \

    # 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 \

    # 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 = 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

    # 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 \