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I Am Having Trouble Understanding How Dataset Caching Works With

I am having trouble understanding how dataset caching works with clearml-data . I am using a clearml-task that runs python code to get a dataset from clearml-data . The worker is a Azure VM. I often run into issue where a dataset was downloaded on the machine, training ran for a few hours, but then dataset is no longer on the machine for validation (and the script crash and model artifact is never uploaded). How / when is dataset cache cleared ?

  
  
Posted 4 months ago
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Hi @<1644147961996775424:profile|HurtStarfish47> , in the ClearML SDK, all downloaded files are cached in the cache folder, the same goes for downloaded dataset files. By default, this cache is mapped to ~/.clearml/cache and contains the last 100 files downloaded.

  
  
Posted 4 months ago
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4 months ago
4 months ago
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