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Answered
Hi Guys, I Have Been Pondering How Does Clearml Generate The "Installed Packages" List. I Triggered My Training Through Machine A (With Some Python Packages) And The Actual Training Is Done In A Docker Container (With Both Global Packages + Packages Insta

Hi Guys, I have been pondering how does ClearML generate the "installed packages" list.
I triggered my training through machine A (with some python packages) and the actual training is done in a docker container (with both global packages + packages installed in virtual environment).
Any advice?

  
  
Posted 2 years ago
Votes Newest

Answers 6


You need to use a docker image that already has the cuda package installed. Also don't forget to run the agent in --docker mode 🙂

  
  
Posted 2 years ago

Example i build my docker image using a image in docker hub. In this image, i installed torch and cupy packages. But when i run my experiment in this image, the packages are not found.

Yes, I ran the experiment inside.

  
  
Posted 2 years ago

Also, did you run the experiment inside the docker? Just masking sure 🙂

  
  
Posted 2 years ago

Hello CostlyOstrich36 I am facing an issue now. basically i installed all necessary python packages in my docker image. But somehow, the clearml-agent does not seems to be able to detect these global packages. I don't see them in the "installed packages". Any advice?

  
  
Posted 2 years ago

OddShrimp85 Hi 🙂

I think ClearML detects the packages that were in use during the script's run. Regarding the global packages, that's what the docker image is for, so it all comes pre-installed

  
  
Posted 2 years ago

Can you please give an example?

  
  
Posted 2 years ago