|
 |                 -t /path/to/user/toolchains.xml
 |
 |  2. Installation Level.
 |                 This toolchains.xml file provides configuration for all Maven
 |                 users on a machine (assuming they're all using the same Maven
 |                 installation). It's normally provided in
 |                 ${maven.installation.conf}/toolchains.xml.
 |

## 1. Prerequisites

* Familiarity with [Docker Compose](https://docs.docker.com/compose/overview/).
* Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).

## 2. Run Distributed MinIO on Docker Compose

build --linkopt="-lm"
build --linkopt="-Wl,--undefined-version"

# Prevent double-compilation of some TF code, ref. b/183279666 (internal)
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code
# > on the host machine. If we don't have --distinct_host_configuration=false,
# > the core TensorFlow code will be built once for the host and once for the
# > target platform.

     */
    Address getByName ( String hostname, boolean possibleNTDomainOrWorkgroup ) throws UnknownHostException;


    /**
     * Determines the address of a host given it's host name. The name can be a
     * machine name like "jcifs.samba.org", or an IP address like "192.168.1.15".
     *
     * @param hostname
     *            NetBIOS or DNS hostname to resolve
     * @return the found address

En utilisant le mode Docker Swarm, vous pouvez commencer par un "cluster" d'une seule machine (il peut même s'agir
d'un serveur à 5 USD/mois) et ensuite vous pouvez vous développer autant que vous le souhaitez en ajoutant d'autres serveurs.

	}

	appdir := filepath.Join(tmpdir, "gotest.app")
	os.RemoveAll(appdir)

	if err := assembleApp(appdir, os.Args[1]); err != nil {
		return 1, err
	}

	// This wrapper uses complicated machinery to run iOS binaries. It
	// works, but only when running one binary at a time.
	// Use a file lock to make sure only one wrapper is running at a time.
	//
	// The lock file is never deleted, to avoid concurrent locks on distinct

It can be configured via MinIO's standard configuration API (i.e. using `mc admin config set/get`), or equivalently with environment variables. For brevity we show only environment variables here:

```sh

build:rbe_cross_compile_base --remote_instance_name=projects/tensorflow-testing/instances/default_instance

# XLA depends on some local Python headers that are configured as Genrule. They
# are present on the local host machine but not on the remote execution machine,
# leading to build failures. To resolve the issue, the following line is added
# to make sure all Genrule targets are excuted locally.
build:rbe_cross_compile_base_xla --config=rbe_cross_compile_base

 *
 * By orchestrating two different servers with the same port but different IP addresses, we can
 * test what OkHttp does when both are reachable, or if only one is reachable.
 *
 * This test only runs on host machines that have both IPv4 and IPv6 addresses for localhost.
 */
@Timeout(30)
class FastFallbackTest {
  @RegisterExtension
  val clientTestRule = OkHttpClientTestRule()

See our web documentation on [Deploying MinIO in Standalone Mode](Deploy Standalone MinIO in a Container) for a more structured tutorial on deploying MinIO in a container.

## Prerequisites

Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).

## Run Standalone MinIO on Docker