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ChristophSchranz avatar ChristophSchranz commented on September 27, 2024 1

Hi,
new tags are available such as v1.5_cuda-12.0_ubuntu-22.04_python-only and v1.5_cuda-11.8_ubuntu-22.04_python-only which are based on 12.0.1-cudnn8-devel-ubuntu22.04 rsp. 11.8.0-cudnn8-devel-ubuntu22.04. Both are built with with PyTorch 2 and the latest compatible Tensorflow version.

Thiss issue should be solved with PR #124

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hlapp avatar hlapp commented on September 27, 2024

Just to be clear, thinking that PyTorch2 is installed in the container was a mistake of mine.

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mathematicalmichael avatar mathematicalmichael commented on September 27, 2024

hm. i've been using torch 2 since release and don't recall rebuilding my images. are you able to just pip install it?

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hlapp avatar hlapp commented on September 27, 2024

The installation is ultimately unsuccessful because of the CUDA dependency. Of course, this only matters if using on GPU.

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benz0li avatar benz0li commented on September 27, 2024

@hlapp You may be interested in b-data's/my GPU accelerated JupyterLab docker stacks.

(currently) Based on nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04; including code-server – aka VS Code in the browser.

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