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When using "full" covariance to fit the gmm model, the following error occurred:
cholesky_cuda: U(31,31) is zero, singular U.
File "/Cylinder3D/network/gmm.py", line 320, in _calculate_log_det
log_det[k] = 2 * torch.log(torch.diagonal(torch.linalg.cholesky(var[0,k]))).sum()
File "/Cylinder3D/network/gmm.py", line 290, in _estimate_log_prob
log_det = self._calculate_log_det(precision)
File "/Cylinder3D/network/gmm.py", line 405, in __score
weighted_log_prob = self._estimate_log_prob(x) + torch.log(self.pi)
File "/Cylinder3D/network/gmm.py", line 170, in fit
self.log_likelihood = self.__score(x)
File "/Cylinder3D/train_gmm.py", line 72, in main
gmm_model.fit(logit_cls)
File "/Cylinder3D/train_gmm.py", line 88, in <module>
main()
Is is related to my data or the computation accuracy? Is there any solution to this problem?
Thank you so much!!
Best regards,
Daisy
The text was updated successfully, but these errors were encountered:
Hi,
When using "full" covariance to fit the gmm model, the following error occurred:
Is is related to my data or the computation accuracy? Is there any solution to this problem?
Thank you so much!!
Best regards,
Daisy
The text was updated successfully, but these errors were encountered: