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Install Pytorch Cuda using the command in this page : https://pytorch.org/get-started/locally/ , be sure pytorch use cuda correctly , with torch.cuda.is_available() get in true giving to you true
While running demo_part3.ipynb, cell 3 crashes due to kernel issue.
I think this is due to torch.cuda.is_available() option. I found that torch.cuda.is_available() is False on cell 2.
Am I right? If yes, should I make torch.. available() true by setting torch and cuda environment? my cuda version is 12.1.
Thanks for reading it.
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