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Travis CI corrections (Python 3.3 compatibility fixes; PEP8 fixes)
Second go at the LogAbsDet op. Has gradient, but no GPU code so far... if anyone wants to help/ point me to PyCuda/CUDA implementation of SVD, let me know!
This is very similar to numpy.linalg.slogdet, except that the sign of the determinant is omitted, so it just computes log(abs(det(M))) for a matrix M.
Note that M does not need to be positive semidefinite, since we're taking the absolute value (as happens in e.g. maximum likelihood estimation).
do the op for gh-150, the optimization isn't done.