Add 2D `conv`
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feature request
performance
- Dominant language
- Julia
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Description
It’s tricky to do efficiently so we should have an implementation here (even though it doesn’t need a new atom). We should also speed up the sparse matrix creation in the 1D convolution.
I implemented both here: https://discourse.julialang.org/t/convex-jl-slow-in-creating-constraints/34775/31
We could also let users reuse the matrix representation as is done there.
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