I would like to define a Theano operation taking this vector: [1,2,3]
To this array: [[1,2,3], [1,3,2], [2,3,1], [2,1,3], [3,1,2], [3,2,1]] The problem I'm having is that while I can get the correct result using numpy operations and arrays, I'm having trouble converting to Theano operations. In numpy, I get the correct result using itertools.permutations: np.array(list(itertools.permutations(x))) However, if I swap in a Theano vector X as the argument: X = T.vector() np.array(list(itertools.permutations(X))) then I get an error: ValueError: length is not known I think what's happening is that X is symbolic so it can't be evaluated by itertools.permutations. Is there a simple way to do this in Theano or do I have to construct the set of permutations from lower-level operations? -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to theano-users+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.