Kilosort 2 fails on extremely large "spike" trains

KS2 throws an error when it finds a huge number of spikes:

        "Number of spikes before applying cutoff: 36449620",
        "----------------------------------------Error using gpuArray/eig",
        "EIG did not converge at index = 881672."

There is a very easy fix that doesn't appear in the docker and the docker is the only way to run KS2 on later versions of Ubuntu.

Would it be possible to add a container with a try and catch added to runTemplates.m in order to use the economy decomposition when huge spiketrains are found?

    try
        [A, B, C] = svdecon(UA);
    catch
        [A, B, C] = svd(UA,"econ");
    end

The economy-size decomposition removes extra rows or columns of zeros from the diagonal matrix of singular values, S, along with the columns in either U or V that multiply those zeros in the expression A = USV'. Removing these zeros and columns can improve execution time and reduce storage requirements without compromising the accuracy of the decomposition.
https://www.mathworks.com/help/matlab/ref/double.svd.html#d126e1780458

I added this issue to the KS2 repo but I don't have much hope of it being incorporated there now that they are focused on KS4+.

Start by inspecting the v2.0.2 mainLoop/runTemplates.m entry point and the repository's existing Docker files. Verify how the container runs Kilosort 2 for large spike trains, then ensure the requested fallback to economy-size decomposition is included and the container can complete this case without the gpuArray/eig convergence error.