I have narrowed a memory leak in PyMC down to the vectorize() function in numpy. I have a simple inverse logit transformation function:
invlogit = lambda x: 1.0 / (1.0 + exp(-1.0 * x)) which runs without leaking when used iteratively during simulations. However, when I try to vectorize it, the process' rsize grows each iteration of the simulation. Using a recent (<2 days old) svn build of numpy on OS X 10.4. C. _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
