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anibali avatar anibali commented on August 22, 2024
  1. Conda actually allows variants of versions. You can see this yourself by running conda search -c pytorch pytorch=1.2.0 (all variants of PyTorch 1.2.0 will be printed). This allows you to pick the package for the version of CuDNN and Python that you want.

  2. My image contains a few extras, like OpenCV and Graphviz, which do take up some space. I'm not sure which image you're comparing to, but maybe they don't have as many extras in there?

from docker-pytorch.

slothkong avatar slothkong commented on August 22, 2024

Yes, I see now conda search does the trick. I am note familiar with conda so probably that is why I couldn't find the package source. And this particular set of conda packages do come with cudnn included. Cool! Is just strange that the official docs don't mention this.

from docker-pytorch.

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