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Hey Guys, I'M Trying To Run An Experiment Using Trains-Agent. I Have A Custom Docker Image With Nightly Versions Of Pytorch And Our Own Library Installed From A Private Repo. I Was Assuming That These Packages Will Be Automatically Available To Trains Dur


DilapidatedDucks58 trains-agent adds the artifactory URL as --extra-index-url , are you sure you are getting the correct torch version in the container? because the torch html is not an artifactory html, it is a list of links, I just want to make sure you are getting the correct version, because otherwise it can default to the CPU version, which we don't want 🙂 anyhow you can use the direct link in the "installed packages and just put there " https://download.pytorch.org/whl/nightly/cu101/torch-1.6.0.dev20200421%2Bcu101-cp36-cp36m-linux_x86_64.whl " instead of torch==

Regrading the precomputed files, yes, if they are already on S3 you can do:
from trains.storage import StorageManager local_location_of_the_file = StorageManager.get_local_copy(' ')And since there is now caching, and it is persistent over runs (yes even in containers) you only download the file once 🙂 what do you think? (Also it give you the option of replacing these files, and now you will be able to have the link as one of the Task parameters)

  
  
Posted 3 years ago
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