Comments (3)
farisjanjos
commented on June 15, 2024
Would also like to inquire if there are any plans to bump to pytorch-2.0 :) I'm planning to publish code for a recently submitted paper where we used PyCave (and cited it!). It would make our lives much easier if we could use torch 2.0 instead of fixing to torch1.12.1+cu116, which is what we had to use.
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borchero
commented on June 15, 2024
Would love to do that. Unfortunately, I haven't used the latest versions of PyTorch (Lightning) and torchmetrics so I will need some time to figure out relevant changes. If you want to provide some support fixing the CI for the latest versions, please go ahead 😅
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Related Issues (20)
- Incomplete covariance matrices HOT 6
- Computing BIC HOT 1
- How can i disable model output prints during fit_preditct? HOT 3
- How to get covariance matrix? And confused about precisions cholesky... HOT 1
- installation failure HOT 2
- Mini-batch training on GMM HOT 3
- GMM fitting with full covariance crashes unexpectedly unlike sklearn GMM fitting HOT 7
- Batch size must be factor or total dataset size HOT 2
- Covariance matrices not symmetric HOT 2
- Diagonal/spherical covariance GMMs have no covariance variable
- Long initialization time when using GPU HOT 5
- multi-GPU error
- GMM with Mini-Batches HOT 1
- GPU memory leak. HOT 3
- nll is nan in training HOT 3
- GMM Training with Mini-Batch
- mini-batch training GMM sample HOT 4
- When K equals num_features it causes a problem if covariance is diag HOT 1
- Runtime error in log_normal function HOT 1
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