Performance bug when creating SparseMatrixCSC

[TomDeWeer]

Hi all,

I am trying to solve Ax=B for a sparse A in Julia. I create the A and B matrix in Python and import it into Julia via the PyCall package. I believe the issue lies mostly with PyCall so I have created the following issue there:

JuliaPy/PyCall.jl#735

However, since I'm not getting any answers from PyCall I'm turning to Julia itself. I hope this is no problem.

Basically, converting a Python csc_matrix object to a Julia SparseMatrixCSC object takes ages and uses a lot of RAM. I assume data gets copied, but I have no acces to the source code so I can't confirm.

For more information, you can look at the link above. Any help would be greatly appreciated!

Kind regards,
Tom

[fredrikekre]

These type of questions is better to post on the forum: https://discourse.julialang.org/.

[TomDeWeer]

Thanks for the fast answer!