Hi, in Matlab there is a function called “svds”, which finds the k largest eigenvalues of a matrix.
Is there any parallel function in pytorch (not svd)?
u, s, v = torch.svd(a)
s[:k]
contains the k largest singular values of a. I don’t think svds exists in Pytorch.
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Thanks for the response!
My goal is to find only the k largest values in order to short my running time.
So, is there any other way to find them?