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- Docker For Windows 10
- Docker For Windows Install
- Docker For Windows 10 Pro
- Docker For Windows Home Edition
Docker uses containers tocreate virtual environments that isolate a TensorFlow installation from the restof the system. TensorFlow programs are run within this virtual environment thatcan share resources with its host machine (access directories, use the GPU,connect to the Internet, etc.). TheTensorFlow Docker images are tested for each release.
Business Computer Skills offers Docker training classes in Buffalo, NY at the following location: Buffalo Training Center. 300 International Drive. Buffalo, NY 14221. Whether you want to learn Docker basics or earn a Docker Certified Associate (DCA) certification we have the right course for you. Docker build is the Docker engine command that consumes a Dockerfile and triggers the image creation process. This topic will show you how to use Dockerfiles with Windows containers, understand their basic syntax, and what the most common Dockerfile instructions are.
Docker is the easiest way to enable TensorFlow GPU support on Linux since only theNVIDIA® GPU driver is required on the host machine (the NVIDIA® CUDA® Toolkit does not need tobe installed).
TensorFlow Docker requirements
- Install Docker onyour local host machine.
- For GPU support on Linux, install NVIDIA Docker support.
- Take note of your Docker version with
docker -v. Versions earlier than 19.03 require nvidia-docker2 and the
--runtime=nvidiaflag. On versions including and after 19.03, you will use the
nvidia-container-toolkitpackage and the
--gpus allflag. Both options are documented on the page linked above.
- Take note of your Docker version with
sudo, create the
dockergroup andadd your user. For details, see thepost-installation steps for Linux.
Download a TensorFlow Docker image
The official TensorFlow Docker images are located in the tensorflow/tensorflow Docker Hub repository. Image releases are tagged using the following format:
|The latest release of TensorFlow CPU binary image. Default.|
|Nightly builds of the TensorFlow image. (Unstable.)|
|Specify the version of the TensorFlow binary image, for example: 2.1.0|
|Nightly builds of a TensorFlow |
|Special experimental image for developing TF custom ops. More info here.|
Each base tag has variants that add or change functionality:
|The specified tag release with GPU support. (See below)|
|The specified tag release with Jupyter (includes TensorFlow tutorial notebooks)|
You can use multiple variants at once. For example, the following downloadsTensorFlow release images to your machine:
Start a TensorFlow Docker container
To start a TensorFlow-configured container, use the following command form:
For details, see the docker run reference.
Examples using CPU-only images
Let's verify the TensorFlow installation using the
latest tagged image. Dockerdownloads a new TensorFlow image the first time it is run:
Let's demonstrate some more TensorFlow Docker recipes. Start a
bash shellsession within a TensorFlow-configured container:
Within the container, you can start a
python session and import TensorFlow.
To run a TensorFlow program developed on the host machine within a container,mount the host directory and change the container's working directory(
-v hostDir:containerDir -w workDir):
Permission issues can arise when files created within a container are exposed tothe host. It's usually best to edit files on the host system.
Start a Jupyter Notebook server usingTensorFlow's nightly build:
Follow the instructions and open the URL in your host web browser:
Docker is the easiest way to run TensorFlow on a GPU since the host machineonly requires the NVIDIA® driver (the NVIDIA® CUDA® Toolkit is not required).
Docker For Windows 10
Install the Nvidia Container Toolkit to add NVIDIA® GPU support to Docker.
nvidia-container-runtime is onlyavailable for Linux. See the
nvidia-container-runtimeplatform support FAQ for details.
Check if a GPU is available:
nvidia-dockerv1 uses the
nvidia-dockeralias, rather than the
--gpus allcommand line flags.
Examples using GPU-enabled images
Download and run a GPU-enabled TensorFlow image (may take a few minutes):
It can take a while to set up the GPU-enabled image. If repeatedly runningGPU-based scripts, you can use
docker exec to reuse a container.
Use the latest TensorFlow GPU image to start a
bash shell session in the container:
Docker For Windows Install
Docker Enterprise Edition for Windows Server (Docker EE) enables nativeDocker containers on Windows Server. Windows Server 2016 and later versions are supported. The Docker EE installation packageincludes everything you need to run Docker on Windows Server.This topic describes pre-install considerations, and how to download andinstall Docker EE.
You can get release notes for all versions here
Install Docker EE
Docker EE for Windows requires Windows Server 2016 or later. SeeWhat to know before you install for afull list of prerequisites.
Open a PowerShell command prompt, and type the following commands.
Check if a reboot is required, and if yes, restart your instance:
If the output of this command is Yes, then restart the server with:
Test your Docker EE installation by running the
(optional) Make sure you have all required updates
Some advanced Docker features, such as swarm mode, require the fixes included inKB4015217(or a later cumulative patch).
6) Download and Install Updates.
Install a specific version
To install a specific Docker version, you can use the
RequiredVersion flags. For example:
Update Docker EE
To update Docker EE on Windows Server 2016:
If Docker Universal Control Plane (UCP) is installed, run theUCP installation script for Windows.
Start the Docker service:
What to know before you install
- What the Docker EE for Windows install includes: The installationprovides Docker Engine and theDocker CLI client.
About Docker EE containers and Windows Server
Looking for information on using Docker EE containers?
Getting Started with Windows Containers (Lab)provides a tutorial on how to set up and run Windows containers on Windows 10or Windows Server 2016. It shows you how to use a MusicStore application withWindows containers.
Setup - Windows Server 2016 (Lab)describes environment setup in detail.
Docker Container Platform for Windows Server articles and blogposts on the Docker website.
Docker For Windows 10 Pro
Where to go next
Getting started provides an overview ofDocker for Windows, basic Docker command examples, how to get help or givefeedback, and links to all topics in the Docker for Windows guide.
FAQs provides answers to frequently askedquestions.
Release Notes lists componentupdates, new features, and improvements associated with Stable and Edgereleases.
Learn Docker provides general Docker tutorials.
Windows Containers on Windows Serveris the official Microsoft documentation.
Docker For Windows Home EditionWindows, Windows Server, install, download, ucp, Docker EE
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