Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

Sparse matrix support

See original GitHub issue

Is there any way to use autodiff on sparse scipy matrices? The docs say np.dot isn’t supported (and attempting it throws a ValueError: setting an array element with a sequence.). I can get the dot product with h.dot(W1), but autograd doesn’t work that way according to #8.

Is there any known workaround for dealing with sparse matrices, or anything planned?

Thanks for the great library!

Issue Analytics

State:
Created 8 years ago
Reactions:7
Comments:14 (7 by maintainers)

Top GitHub Comments

7reactions

namednilcommented, Oct 3, 2017

Did somebody start working on that? Sparse matrix support would make this really cool project even cooler as this would make it suitable for a variety of new tasks, especially for natural language processing.

4reactions

mattjjcommented, Dec 8, 2015

For proper support, we’d probably have to wrap the functions in scipy.sparse, analogous to the way we wrap scipy.linalg (and numpy everything else, check out autograd/scipy/ for examples). We may also need to introduce a new Node type to wrap sparse matrix instances. I don’t think sparse support is on any of our task lists right now, so this issue might remain open for a while.