Hey, I ran into this problem on a current build of pytorch (October 2017).
Here’s a minimal repro - it’s triggered for me when the symmetric matrix is 129x129 or larger.
import torch
a = torch.randn(129,129)
cov = torch.mm(a, a.transpose(1,0))
tcov = torch.Tensor(cov).cuda()
teigval, teigvec = torch.symeig(tcov, eigenvectors=True)
print(max(teigval))
print(‘what?’)