How to efficiently do matrix multiplication for 2 specific dimensions of the tensor?

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Hi,
I have a rank-5 tensor A and a rank-2 matrix B, and I want to captured the first two dimentions of A as slices and do the mutiplication with B to form an output C.
I can do it as below by using 3 for loops. But that is not efficient. How can I do it vectorizedly (i.e. without using the for loops)?
Many thanks!
My current code
A=randn(3,4,8,2,14);
B=randn(7,3);
C=zeros(7,4,8,2,14); % (7, 4) is due to matrix mutiplication of (7, 3)x(3, 4)
for i=1:8
for j=1:2
for k=1:14
A_slice=A(:,:,i,j,k);
C_slice=B*A_slice;
C(:,:,i,j,k)=C_slice;
end
end
end
C % the output I want

Accepted Answer

James Tursa
James Tursa on 20 Nov 2019

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