Windows 10 Installation¶
Estimated time: 10 minutes
- Docker version >18.09
- Python >=3.6
- >5GB of free machine storage
- Download the latest release from the GitHub releases
Create a new, empty directory where you will install Atlas.
atlas_installer.pyfile into this directory.
- Install the following python package into the environment created in step 3:
pip install pypiwin32==223
- Run the install script with
- Windows 10 Home only:
- Open Oracle VirtualBox.
- Right-click on the docker VM and click on
- Select 'Network' in the configuration pane, expand the
Advancedsection and click on
- Add the following port forwarding rules:
|Name||Protocol||Host IP||Host Port||Guest IP||Guest Port|
After completing the installation section, you can do the following to start Atlas:
- Validate that you are in the same Python environment that was used to run the installation script.
If you installed Atlas with GPU support, you can start the Atlas server in GPU mode by running
atlas-server start -g. This will allow Atlas to use all CUDA-enabled GPUs on your system.
Validate that the GUI is running by going to the GUI. This is your centralized location to track all of your experiments.
After completing the start-up section, follow the next few steps to launch your first Atlas job:
- Navigate to where you'd like to create your Atlas project directory.
- Ensure that you are in the environment that was used during installation.
foundations init hello-atlasto create an example project.
- Navigate into the newly created
- Run the sample code provided by running
- Head to the GUI to see your experiment!
When you run a job for the first time, it will download the appropriate worker image needed.
This will take roughly 1.5 minutes.