Implement LinearAlgebra's storage-specific mul! methods - #1064
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Julia 1.13-rc4 bumped LinearAlgebra to a version that includes JuliaLang/LinearAlgebra.jl#1671, which renamed the storage-level `generic_matvecmul!`/`generic_matmatmul!` entry points into 6- and 7-argument `mul!` methods, with the old names kept only as a fallback behind the generic `mul!` method. For matrix-vector products this breaks rocBLAS dispatch: LinearAlgebra's strided BlasFloat `mul!` method is more specific than that fallback, so it wins over our `generic_matvecmul!` overload and calls into CPU BLAS with device pointers. Implement the dense and sparse products as the new `mul!` methods, and keep the legacy names only as forwarding shims for Julia before 1.13 so that they can be dropped together once 1.13 becomes the floor.
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Julia 1.13-rc4 bumped LinearAlgebra to a version including JuliaLang/LinearAlgebra.jl#1671, which renamed the storage-level
generic_matvecmul!/generic_matmatmul!entry points into 6- and 7-argumentmul!methods. LinearAlgebra's strided BlasFloatmul!is more specific than the fallback that still routes to the old names, so ourgeneric_matvecmul!overload was never reached on 1.13 and matrix-vector products ended up in CPU BLAS.This implements the products as the new
mul!methods and keeps the legacy names only as forwarding shims for Julia < 1.13 (one@staticblock per file, to be dropped when 1.13 becomes the floor). It requires GPUArrays 11.5.14 (JuliaGPU/GPUArrays.jl#775, now registered), whosegeneric_matmatmul_wrapper!hooks route throughmul!on 1.13.