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I've tried to run code that checks heat solution on SO, but there is a problem with laplace_operator. Code sample:
from geomstats.geometry.special_orthogonal import _SpecialOrthogonalMatrices so = _SpecialOrthogonalMatrices(5) x = so.rand() dfdt, _, _ = torch.autograd.grad(heat_kernel(t, x[None], y[None]), (t, x, y), allow_unused=True) egrad = lambda u: torch.autograd.grad(heat_kernel(t, u[None], y[None]), (t, u, y))[1] fx = lambda u: heat_kernel(t, u[None], y[None]) ehess = lambda u, h: torch.autograd.functional.hvp(fx, u, h)[1] lapf = manifold_laplacian(x, space, egrad, ehess)
I suspect that the problem is in function tangent_onb in manifold_utils.py. Such approach should work only for $M^n $ embedded in $\mathbb{R}^{n+1}$.
The text was updated successfully, but these errors were encountered:
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I've tried to run code that checks heat solution on SO, but there is a problem with laplace_operator.
Code sample:
I suspect that the problem is in function tangent_onb in manifold_utils.py. Such approach should work only for $M^n $ embedded in$\mathbb{R}^{n+1}$ .
The text was updated successfully, but these errors were encountered: