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dingquanyu avatar dingquanyu commented on July 17, 2024

Hi,

Sorry but it doesn't seem to have anything to do with TPU. Could you check the thread under AlphaFold github about this ptxas? google-deepmind/alphafold#122 (comment)

I guess it might be something wrong with your CUDA version but feel free to try the suggestions in the above thread.

Cheers
Dingquan

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nduan1 avatar nduan1 commented on July 17, 2024

Hi Dingquan,

Thanks for your suggestion! It works after using "module load CUDA/11.3.0 cuDNN/8.2.1/CUDA-11.3".

Best,

Ning

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remybonnav avatar remybonnav commented on July 17, 2024

Hi Dingquan,

Thanks for your suggestion! It works after using "module load CUDA/11.3.0 cuDNN/8.2.1/CUDA-11.3".

Best,

Ning

How did you solve? What do you mean by "using module load CUDA...." How could I set this?

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dingquanyu avatar dingquanyu commented on July 17, 2024

Hi Dingquan,
Thanks for your suggestion! It works after using "module load CUDA/11.3.0 cuDNN/8.2.1/CUDA-11.3".
Best,
Ning

How did you solve? What do you mean by "using module load CUDA...." How could I set this?

@remybonnav
I think Ning was running the programme on an HPC cluster and normally those clusters have CUDA and cuDNN installed as modules. Then the user can run the command like she said. Please check with your IT support with the usage of these modules.

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