2023-10-18 09:18:45 +00:00
|
|
|
---
|
|
|
|
|
title: Recreating Experiment Environments
|
|
|
|
|
---
|
|
|
|
|
|
|
|
|
|
<div class="vid" >
|
|
|
|
|
<iframe style={{position: 'absolute', top: '0', left: '0', bottom: '0', right: '0', width: '100%', height: '100%'}}
|
|
|
|
|
src="https://www.youtube.com/embed/WTVrchczD34?si=2mZoMi4QdGl4MnUe"
|
|
|
|
|
title="YouTube video player"
|
|
|
|
|
frameborder="0"
|
|
|
|
|
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; fullscreen"
|
|
|
|
|
allowfullscreen>
|
|
|
|
|
</iframe>
|
|
|
|
|
</div>
|
|
|
|
|
|
|
|
|
|
<br/>
|
|
|
|
|
|
|
|
|
|
Sometimes, you may need to recreate your experiment environment on a different machine, but you haven't committed your
|
|
|
|
|
code.
|
|
|
|
|
|
|
|
|
|
ClearML logs everything needed to reproduce your experiment and its environment (uncommitted changes, used packages, and
|
2023-11-23 13:04:17 +00:00
|
|
|
more), making it easy to reproduce your experiment's execution environment using ClearML.
|
2023-10-18 09:18:45 +00:00
|
|
|
|
2023-12-03 12:27:46 +00:00
|
|
|
You can reproduce the execution environment of any experiment you've run with ClearML on any workload:
|
2023-10-18 09:18:45 +00:00
|
|
|
|
|
|
|
|
1. Go to the experiment page of the task you want to reproduce in the [ClearML WebApp](../../webapp/webapp_overview.md),
|
|
|
|
|
:::tip
|
2023-11-23 13:04:17 +00:00
|
|
|
Use the UI's [filtering and sorting](../../webapp/webapp_exp_table.md#filtering-columns) to find the best performing experiments.
|
2023-10-18 09:18:45 +00:00
|
|
|
:::
|
|
|
|
|
1. Copy the desired experiment's ID
|
|
|
|
|
1. Use the ClearML Agent's [`build`](../../clearml_agent/clearml_agent_ref.md#build) command to rebuild the experiment's
|
|
|
|
|
execution environment. Input the experiment's ID and the target local folder, where the environment will be created:
|
|
|
|
|
|
|
|
|
|
```commandline
|
|
|
|
|
clearml-agent build --id <task_id> --target <target_folder>
|
|
|
|
|
```
|
|
|
|
|
After running this command, the target folder will contain that task's original code with uncommitted changes applied,
|
|
|
|
|
as well as a complete recreated virtual environment
|
|
|
|
|
2. Activate the virtual environment using the activation script. Once done, you'll find all of your environment's packages
|
|
|
|
|
already installed in the environment
|
|
|
|
|
|
|
|
|
|
And that's it! Your experiment's environment and your code has been reproduced!
|
