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I Have Some Code That Launches Ml Tasks And It Accepts A Yaml File,
Thanks for the reply CostlyOstrich36 !
Does the task read/use the cache_dir
directly? It's fine for it to be a cache and then removed from the fileserver; if users want the data to stay they will use the ClearML Dataset 🙂
The S3 solution is bad for us since we have to create a folder for each task (before the task is created), and hope it doesn't get overwritten by the time it executes.
Argument augmentation - say I run my code with python train.py my_config.yaml -e admin.env
, then ClearML logs the my_config.yaml
and -e admin.env
as arguments for execute_remotely
. I'd like to perhaps augment these to be config.yaml
and remove the -e admin.env
flag.
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3 years ago
one year ago