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Add simple 3- and 4-arg * methods #919

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9 changes: 6 additions & 3 deletions src/matrix_multiply.jl
Original file line number Diff line number Diff line change
Expand Up @@ -15,11 +15,15 @@ import LinearAlgebra: BlasFloat, matprod, mul!
@inline *(A::StaticArray{Tuple{N,1},<:Any,2}, B::Adjoint{<:Any,<:StaticVector}) where {N} = vec(A) * B
@inline *(A::StaticArray{Tuple{N,1},<:Any,2}, B::Transpose{<:Any,<:StaticVector}) where {N} = vec(A) * B

# Avoid LinearAlgebra._quad_matmul's order calculation on equal sizes
@inline *(A::StaticMatMulLike{N,N}, B::StaticMatMulLike{N,N}, C::StaticMatMulLike{N,N}) where {N} = (A*B)*C
@inline *(A::StaticMatMulLike{N,N}, B::StaticMatMulLike{N,N}, C::StaticMatMulLike{N,N}, D::StaticMatMulLike{N,N}) where {N} = ((A*B)*C)*D

"""
mul_result_structure(a::Type, b::Type)

Get a structure wrapper that should be applied to the result of multiplication of matrices
of given types (a*b).
of given types (a*b).
"""
function mul_result_structure(a, b)
return identity
Expand Down Expand Up @@ -114,7 +118,6 @@ end
b::Union{Transpose{Tb, <:StaticVector}, Adjoint{Tb, <:StaticVector}}) where {sa, sb, Ta, Tb}
newsize = (sa[1], sb[2])
exprs = [:(a[$i]*b[$j]) for i = 1:sa[1], j = 1:sb[2]]

return quote
@_inline_meta
T = promote_op(*, Ta, Tb)
Expand Down Expand Up @@ -209,7 +212,7 @@ end
while m < M
mu = min(M, m + M_r)
mrange = m+1:mu

atemps_init = [:($(atemps[k1]) = a[$k1]) for k1 = mrange]
exprs_init = [:($(tmps[k1,k2]) = $(atemps[k1]) * b[$(1 + (k2-1) * sb[1])]) for k1 = mrange, k2 = nrange]
atemps_loop_init = [:($(atemps[k1]) = a[$(k1-sa[1]) + $(sa[1])*j]) for k1 = mrange]
Expand Down
6 changes: 6 additions & 0 deletions test/matrix_multiply.jl
Original file line number Diff line number Diff line change
Expand Up @@ -173,6 +173,12 @@ mul_wrappers = [
@test m*transpose(n) === @SMatrix [8 14; 18 32]
@test transpose(m)*transpose(n) === @SMatrix [11 19; 16 28]

# 3- and 4-arg *
@test @inferred(m*n*m) === @SMatrix [49 72; 109 160]
@test @inferred(m*n*m*n) === @SMatrix [386 507; 858 1127]
@test @inferred(m*n'*UpperTriangular(m)) === @SMatrix [8 72; 18 164]
@test @inferred(Diagonal(m)*n*m'*transpose(n)) === @SMatrix [70 122; 496 864]

# check different sizes because there are multiple implementations for matrices of different sizes
for (mm, nn) in [
(m, n),
Expand Down