NeuralJacobianFields
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return CholeskySolverD(self.n, self.inds[0,:], self.inds[1,:], self.vals, MatrixType.COO) ValueError: Matrix is not positive definite! I meet this problem. Is this a problem caused by the mesh not being closed?
Hello, it seems that the repository does not specify the PL version. Installing the current version > 2.0.0 is not working. Even if I install an older one I get...
while training with the flag --compute_human_data_on_the_fly I am getting error as:  which I think came from  because there is no control flow for `args.experiment_type == "DEFAULT"` And when...
Sorry to bother you a little bit. If I would like to apply global transformations such as translation and scaling together with NJF, how could I set up the optimization...