> effort to improve the structure of CI and build related files within the
> TensorFlow repo. This warning will be removed when the contents of this
> directory are stable and appropriate documentation around its usage is in
> place.

Maintainer: TensorFlow DevInfra

********************************************************************************

# Security Policy

## Supported Versions

We support the past two Go releases (for example, Go 1.17.x and Go 1.18.x when Go 1.18.x is the latest stable release).

See https://go.dev/wiki/Go-Release-Cycle and in particular the
[Release Maintenance](https://go.dev/wiki/Go-Release-Cycle#release-maintenance)
part of that page.

## Reporting a Vulnerability

> effort to improve the structure of CI and build related files within the
> TensorFlow repo. This warning will be removed when the contents of this
> directory are stable and appropriate documentation around its usage is in
> place.

Maintainer: TensorFlow DevInfra

Issue Reporting: File an issue against this repo and tag
[@devinfra](https://github.com/orgs/tensorflow/teams/devinfra)

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

to run apps signed by your developer certificate. Then install the libimobiledevice and
ideviceinstaller tools from https://www.libimobiledevice.org/. Use the HEAD versions from
source; the stable versions have bugs that prevents the Go exec wrapper to install and run
apps.

Second, the Go exec wrapper must be told the developer account signing identity, the team

  _logging.warning("""

  TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0.

  Please upgrade your code to TensorFlow 2.0:
    * https://www.tensorflow.org/guide/migrate

  Or install the latest stable TensorFlow 1.X release:
    * `pip install -U "tensorflow==1.*"`

  Otherwise your code may be broken by the change.

  """)

# Make sure directory containing top level submodules is in

# Number of days of inactivity before an Issue or Pull Request becomes stale
daysUntilStale: 30

# Number of days of inactivity before an Issue or Pull Request with the stale label is closed.
# Set to false to disable. If disabled, issues still need to be closed manually, but will remain marked as stale.
daysUntilClose: 15

          # This workflow should touch no issues, so times are set to -1
          # (see actions/stale documentation for the behavior)
          days-before-issue-stale: -1
          stale-issue-label: stale
          stale-issue-message: >
            **BUG!** This issue should not be marked stale by the "stale" workflow.
            Please report it to @gradle/bt-support team
          days-before-issue-close: -1

          exempt-issue-labels: 'override-stale'
          #Comma separated list of labels that can be assigned to PRs to exclude them from being marked as stale
          exempt-pr-labels: "override-stale"
          #Limit the No. of API calls in one run default value is 30.
          operations-per-run: 1000
          days-before-issue-stale: 180
          days-before-issue-close: 365

          days-before-issue-stale: 14
          stale-issue-label: to-triage
          stale-issue-message: ""
          days-before-issue-close: -1

          only-pr-labels: 'from:contributor'
          exempt-all-pr-milestones: true
          days-before-pr-stale: 14
          stale-pr-label: to-triage
          stale-pr-message: ""