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It can broadcast along the linear index. This will make its broadcast performant for most analyses, and so the only indexing performance issue could be from directly using the matrix indexing.
The text was updated successfully, but these errors were encountered:
the fallbacks using Cartesians actually do super well. I don't think overloads are needed for speed. It is annoying that it returns a standard Vector{Array} though.
I wish I did, that's the same problem that I've been running into with trying to get the broadcasting of MultiScaleArrays to work, if you don't add specializations for broadcast!, broadcast, it just returns Vector{T}
It can broadcast along the linear index. This will make its broadcast performant for most analyses, and so the only indexing performance issue could be from directly using the matrix indexing.
The text was updated successfully, but these errors were encountered: