vamp-ire-tap

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thanks a lot for the swift response, the `x` and `cond` variables do not seem to have nans: ``` (Pdb) !np.argwhere(np.isnan(x.cpu().detach().numpy())) array([], shape=(0, 3), dtype=int64) (Pdb) !np.argwhere(np.isnan(cond.cpu().detach().numpy())) array([], shape=(0, 3),...

thank you for your answer, but the torch.sort() is differentiable right? not easy to optimize, but differentiable nevertheless?

Hello, could one of the authors please help me with the above?

Hello Michael, Thank you for your response, however, I am still having some trouble understanding some implementation details, if you could please help me with the following questions concerning *hyperparameter...

Hello, could one of the authors please help me with the above?

Could one of the authors please answer the above question? I would be grateful