Hi, it popped again on the Theano mailing list that this don't work:
np.arange(10) <= a_theano_vector. The reason is that __array_priority__ isn't respected for that class of operation. This page explain the problem and give a work around: http://stackoverflow.com/questions/14619449/how-can-i-override-comparisons-between-numpys-ndarray-and-my-type The work around is to make a python function that will decide witch version of the comparator to call and do the call. Then we tell NumPy to use that function instead of its current function with: np.set_numeric_ops(...) But if we do that, when we import theano, we will slow down all normal numpy comparison for the user, as when <= is execute, first there will be numpy c code executed, that will call the python function to decide witch version to do, then if it is 2 numpy ndarray, it will call again numpy c code. That isn't a good solution. We could do the same override in C, but then theano work the same when there isn't a c++ compiler. That isn't nice. What do you think of changing them to check for __array_priority__ before doing the comparison? Frédéric
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