Yeah, I know, I was just giving the colloquial name for them in the UK. We like calling things plugs, including what you might call a socket or outlet. Not exclusively but very commonly.
Is transposition a common enough operation that it might be better to avoid it by having versions of the operations/functions that take matrices that do the necessary transpositions implicitly?
IIRC, libraries like numpy and pytorch can already do that as they store the matrices as 1D arrays with information on things like the stride length (advancing to the next row). That allows you to implement operations like transposition by editing the stride length and other parameters without manipulating the content of the matrix array.
This is already done as much as possible by reordering and merging operations but transposition (explicit or implicit) is unavoidable for some operations.
In practice, it can be very relevant. With my own household solar/battery system, I am sometimes frustrated more by limits on how much current I can draw, not by capacity. I could add more batteries, but it seems that the inverter is the limiting factor. And 12MW of inverter is impressive, no?
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