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Ugrading pytorch to the latest stable version with cuda 11.8 fixes the issue, pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
The text was updated successfully, but these errors were encountered:
Thank you @SamuelBroughton for reporting this issue and providing a fix.
We will consider updating the environment to use cu118. However, since this requires some testing for both training and inference, it may take some time before we can implement the change.
Installing the repo as described will install torch with cuda 11.7
If you are using a device such as RTX 4090, you will get an error when trying to do diarization with nemo.
For example, if you just run
python run_inference.py
you will get an error similar to this when torch.stft is called:As pytorch/pytorch#88038 suggests, cuda 11.8 fixes the issue.
Ugrading pytorch to the latest stable version with cuda 11.8 fixes the issue,
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
The text was updated successfully, but these errors were encountered: