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Extra Docker Shell Script |
When using clearml-agent
, an agent recreates an entire execution environment, be it by pulling the docker container or
installing specified packages, and then executes the code on a remote machine. The Agent takes into account required Python packages,
but sometimes, when using a Docker container, a user may need to use additional, non-Python tools.
Tutorial
In this tutorial, you will learn how to use extra_docker_shell_script
to reconfigure an Agent to execute
a shell script when a docker is started, but before an experiment is run.
Prerequisites
clearml-agent
downloaded and configured - work on a machine which has access to the configuration file of the Agent you want to configure- Any code with a ClearML Task.
Steps
-
Open your ClearML configuration file for editing. Depending upon your operating system, it is:
- Linux -
~/clearml.conf
- Mac -
$HOME/clearml.conf
- Windows -
\User\<username>\clearml.conf
- Linux -
-
In the file, go to,
extra_docker_shell_script:
, which is where you will put an extra script. If it is commented out, make sure to uncomment the line. Use the example script that is already there["apt-get install -y bindfs", ]
. -
Search for and go to
docker_force_pull
in the document, and make sure that it is set totrue
, so that your docker image will be updated. -
Run the
clearml-agent
in docker mode:clearml-agent daemon --docker --queue default
. The agent will use the default Cuda/Nvidia Docker Image. -
Enqueue any ClearML Task to the
default
queue, which the Agent is now listening to. The Agent pulls the Task, and then reproduces it, and now it will execute theextra_docker_shell_script
that was put in the configuration file. Then the code will be executed in the updated docker container. If you look at the console output in the web UI, the third entry should start withExecuting: ['docker', 'run', '-t', '--gpus...'
, and towards the end of the entry, where the downloaded packages are mentioned, you can see the additional shell-scriptapt-get install -y bindfs
.