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MasterBin-IIAU avatar MasterBin-IIAU commented on July 19, 2024

@Richard-mei Hi, I think the CUDA version doesn't have an influence on this project. So you can choose the compatible CUDA and the PyTorch version based on your GPU. For example, you can create a new conda environment then run the install_pytorch17.sh but replace the original command conda install -y pytorch==1.7.0 torchvision==0.8.1 cudatoolkit=10.2 -c pytorch with conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=11.0 -c pytorch.

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Richard-mei avatar Richard-mei commented on July 19, 2024

I have tried pytorch==1.7.0 torchvision==0.8.1 torchaudio==0.7.0 cudatoolkit=11.0, but as I said above, an error about tensorboardX occured.

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MasterBin-IIAU avatar MasterBin-IIAU commented on July 19, 2024

We haven't tested our code on a 3060 GPU. However, if you only want to run demos or test the STARK tracker, you can just comment out all lines about tensorboard.

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Richard-mei avatar Richard-mei commented on July 19, 2024

Thank you. I replaced with conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=11.1 -c pytorch -c conda-forge and it works.

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