Niklas Koep

Without any more information about which Python, numpy, scipy and autograd versions you are using there's not much we can do. The example runs fine for me on pymanopt 2.0.0...

Hi, depending on which version of pymanopt this package is using the solvers subpackage was renamed to optimizers as you can see here: https://pymanopt.org/docs/stable/optimizers.html#optimizers. On Thu, Sep 29, 2022, 21:30...

Other than time and resources, no. It's certainly a desired feature for the future. As always, PRs are welcome!

Hi @ckingdev! Thanks for your interest in pymanopt/manopt and offering to help out. No objections from my side to add more manifolds to the toolbox. The multinomial manifold has been...

I'm facing the same problem. At the very least, the error message should indicate which file caused the problem, but mainly the importer should simply skip the file instead of...

> The last commit is an attempt to alleviate this problem. By default `random_point` generates a `numpy.ndarray`. However, if the attribute `manifold.backend` is set to something else (pytorch, jax or...

> The problem is that 'random_point' does not know which backend it should use. Comparatively, you give a 'point' to 'random_tangent_vector' so it knows which backend it has to use....

Hey everyone! Great to see some influx of activity on this project again :) Unfortunately I couldn't make it to the meeting you guys had or I would have voiced...

Yeah that seems like a feasible approach, though I think calling some sort of `.get_backend()` function every time it's needed will make the code very verbose. I like the idea...

Yes, unfortunately the second-order approximation tests are very fickle and highly dependent on the random seed. I tried explicitly fixing the seed for each test, but this still results in...