Hi, I have two tensors A and B, of sizes (ma, na, 3), and (mb, nb, 3).
I would like to create C of size(ma, na, mb, nb) with C(i,j,k,h) = dot(A(i,j,:),B(k,h,:));
What is the fastest and most memory efficient way of achieving this? Many thanks!

 Accepted Answer

Bruno Luong
Bruno Luong on 6 Apr 2022
Edited: Bruno Luong on 6 Apr 2022
If you have the R2022a, a single statement will do
A=rand(2,3,3);
B=rand(4,5,3);
C=tensorprod(A,B,3);
size(C)
ans = 1×4
2 3 4 5

3 Comments

Hi, thanks! Is there anything similar for sums instead of dot product? This way I'm not opening a new question.
I don't know what you meant by "sums" but MATLAB auto-expansion and reshape is like tensor operators
A=rand(2,3,3);
B=rand(4,5,3);
C = sum(A,3) + reshape(sum(B,3),[1 1 size(B,1) size(B,2)])
% or this?
C = reshape(A, [size(A,1) size(A,2) 1 1 size(A,3)]) + ...
reshape(B, [1 1 size(B)])
Okay perfect, the second works well, many thanks.

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More Answers (1)

Matt J
Matt J on 6 Apr 2022
Edited: Matt J on 6 Apr 2022
Ar=reshape(A,[],3);
Br=reshape(B,[],3);
C=reshape( Ar*Br.' ,ma,na,mb,nb);

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