try to use:
LinearAlgebra.BLAS.gemm!('T', 'N', one(T), view(mx, block, :), A, one(T), B)
where block - Vector{Int}
and have:
ERROR: ArgumentError: strides is invalid for SubArrays with indices of type Vector{Int64}
can I use views with LinearAlgebra.BLAS.gemm!?
Consider using the 5 argument mul! also from LinearAlgebra
The underlying BLAS API doesn’t support views with an arbitrary vector of indices.
(You can use mul!, but realize that you will pay a performance price compared to BLAS multiplies because it is falling back to the generic multiplication routine.)
Thank you! mul! works fine, but I didn’t make a deep benchmark 