FFT with @view

[roflmaostc]

maybe you are using plan_rfft and you see something similar to

`plan_rfft` together used with `mul!` and `@view` complains about wrong-strides-output

Hey, initially I wanted to have rfft! but since it doesn’t exist, I tried the workaround mentioned in this discourse discussion. However, mul! complains when used with a plan_rfft generated matrix: using LinearAlgebra, FFTW function main() # array we want to process x = randn((60,40)) y = rfft(randn((80,60))) # just create a view storage y2 = view(y, 1:31, 1:40) p = plan_rfft(x) @time y2 .= p * x; # this still allocates memory because of p * x @t…