Codegen fails with "wrong number of input arguments" while function calls without error
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I'm trying to generate a mex file for the following function:
function matInt = testfun(a,b,M)
matfun = @(x) squeeze(interpn([-1 0 1],[-1,0,1],M,x(1),x(2)));
matInt = integral(@(s) matfun(a*s+(1-s)*b), 0, 1, 'ArrayValued',true);
end
using the following script:
clear; close all;
%% Test arguments
a = [.5;.3];
b = [-.2;-1];
M = randn(3,3,5,5);
%% Run function
Mint = testfun(a,b,M); % okay
%% Codegen
% error:
codegen testfun -args {a,b,M}
Running the function (so computing Mint) goes fine without any errors. But generating a mex file using the same input arguments (in the last line) throws the error:
??? Wrong number of input arguments.
Error in ==> testfun Line: 2 Column: 23
Code generation failed: View Error Report
I'm not exactly what goes wrong there, as I do not see how I do not give the correct number of input arguments.
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Mike Hosea
2022-11-1
编辑:Mike Hosea
2022-11-2
I can't find where this behavior of INTERPN is documented. To the contrary, we have:
>> help interpn
interpn N-D interpolation (table lookup).
Vq = interpn(X1,X2,X3,...,V,X1q,X2q,X3q,...) interpolates to find Vq,
the values of the underlying N-D function V at the query points in
arrays X1q,X2q,X3q,etc. For an N-D V, interpn should be called with
2*N+1 arguments. [snip]
I mean, the behavior is obviously useful, but the codegen version is only trying to support documented INTERPN behavior. You can rewrite your example to avoid relying on this behavior by using a nested function instead of an anonymous function:
function matInt = testfun(a,b,M)
% matfun = @(x) squeeze(interpn([-1 0 1],[-1,0,1],M,x(1),x(2)));
function Mq = matfun(x)
mout = size(M,3);
nout = size(M,4);
Mq = zeros(mout,nout,'like',M);
for j = 1:nout
for i = 1:mout
Mq(i,j) = interpn([-1 0 1],[-1,0,1],M(:,:,i,j),x(1),x(2));
end
end
end
matInt = integral(@(s) matfun(a*s+(1-s)*b), 0, 1, 'ArrayValued',true);
end
Seems like there should be another, more clever way, but it's not coming to mind at the moment.
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