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Hi All! I Have A Question About Pipelines. My Pipeline Consists Of Several Steps:


Ohh, clearml is designed so that you should not worry about that, download_dataset = StorageManger.get_local_copy() this is cashed, meaning the machine that runs that like the second time will not re download the path.
This means step 1 is redundant, no?
Usually when data is passed between components it is automatically uploaded as artifact to the Task (stored on the files server or object storage etc.) then downloaded and passed to the next steps.
How large is the data that you are worried about download time ?
How are you spinning the agents ? usually when there are a lot of them, there is a shared cache folder, which means when one downloads the data the other do not need to redownload it

  
  
Posted 2 years ago
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