Comments (2)
jameschapman19
commented on May 30, 2024
Hi Brando - I'm working on improving my commenting/documentation across the board and will make sure to make GPU support obvious.
I think that the wrapped models that I put in the example will work with GPU since they use:
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
and associated
.to(device)
on both the models and data in training this should work out of the box if your machine has GPU available. But right at this moment I haven't tested as I recently refactored to improve the >2 view case.
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jameschapman19
commented on May 30, 2024
I'm now able to test the gpu methods locally and satisfied that they work as expected - therefore closing.
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Related Issues (20)
- Getting 'IndexError: too many indices for tensor' while attempting to run DCCA HOT 7
- cca_zoo.models.GRCCA.fit's keyword-argument group should default to single-feature groups HOT 2
- cca_zoo.models.GRCCA.fit(groups) does not work together with cca_zoo.model_selection.GridSearchCV.fit(groups) HOT 8
- cca_zoo.model_selection.GridSearchCV does not work when estimator has more than one latent dimension and scorer function is not provided HOT 1
- How to install the deep learning component? HOT 11
- GRCCA: Checking on feature groups fails for feature groups with np.int8 HOT 2
- question about MCCA HOT 3
- torch error while trainning DCCA and DCCAE HOT 2
- Why we have to conduct linear cca before we count the score of projected embedding? HOT 6
- Documentation of penalty parameter ranges? HOT 1
- why the performance of CCA and MCCA is different when I use them to project two views? HOT 9
- GRCCA gives quite different results with original implementation HOT 9
- The cca loss of two irrelevant dataset is -20. HOT 13
- The DCCA loss of two equal view is -6 (dim=100). HOT 12
- when run "python plot_dcca.py" error occurs HOT 2
- problem of latent_dims setting of DCCA_EigenGame HOT 9
- the problem of the model.transform() HOT 4
- Problems encountered when using DCCA.fit
- Pass down parameters to BaseSearchCV in cca_zoo.model_selection.GridSearchCV
- the value of the model.fit_transform() is nan HOT 7
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