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Support for sparse matrices and sparse matrix operations would allow "easy" (i.e. in essentially native numpy/scipy) automatic differentiation in situations where users rely on sparse matrices to avoid dataset size limitations.
Note that this was a greatly requested feature in Autograd, and such support would be greatly appreciated! HIPS/autograd#80
The text was updated successfully, but these errors were encountered:
We rely on JAX for automatic differentiation, and it will be best to take this up with the JAX devs. I see that there is already an issue tracking this (jax-ml/jax#765) that you could add to.
Support for sparse matrices and sparse matrix operations would allow "easy" (i.e. in essentially native numpy/scipy) automatic differentiation in situations where users rely on sparse matrices to avoid dataset size limitations.
Note that this was a greatly requested feature in Autograd, and such support would be greatly appreciated!
HIPS/autograd#80
The text was updated successfully, but these errors were encountered: