Run the following command to install the latest stable MinIO package using [Homebrew](https://brew.sh/). Replace ``/data`` with the path to the drive or directory in which you want MinIO to store data.

```sh
brew install minio/stable/minio
minio server /data
```

> [!NOTE]
> If you previously installed minio using `brew install minio` then it is recommended that you reinstall minio from `minio/stable/minio` official repo instead.

```sh

> 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

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

### Homebrew (recommended) Run the following command to install the latest stable MinIO package using [Homebrew](https://brew.sh/). Replace ``/data`` with the path to the drive or directory in which you want MinIO to store data. ```sh brew install minio/stable/minio minio server /data ``` > NOTE: If you previously installed minio using `brew install minio` then it is recommended that you reinstall minio from `minio/stable/minio` official repo instead. ```sh brew uninstall minio brew install minio/stable/minio...

# 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

		if err != nil && err != io.EOF && err != io.ErrUnexpectedEOF {
			// If there is a disconnection before globalNetPerfMinDuration (we give a margin of error of 1 sec)
			// would mean the network is not stable. Logging here will help in debugging network issues.
			if time.Since(connectTime) < (globalNetPerfMinDuration - time.Second) {
				adminLogIf(ctx, err)
			}
		}
		if err != nil {
			if errors.Is(err, io.EOF) {

the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a
non-guaranteed backward compatible API for
[other languages](https://www.tensorflow.org/api_docs).