view misc.py @ 187:ebbb0e749565

added mlp_factory_approach
author James Bergstra <bergstrj@iro.umontreal.ca>
date Wed, 14 May 2008 11:51:08 -0400
parents e9a95e19e6f8
children d7250ee86f72
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import theano

class Print(theano.Op):
    def __init__(self,message=""):
        self.message=message
        self.view_map={0:[0]}

    def make_node(self,xin):
        xout = xin.type.make_result()
        return theano.Apply(op = self, inputs = [xin], outputs=[xout])

    def perform(self,node,inputs,output_storage):
        xin, = inputs
        xout, = output_storage
        xout[0] = xin
        print self.message,xin

    def grad(self,input,output_gradients):
        return output_gradients


def unique_elements_list_intersection(list1,list2):
    """
    Return the unique elements that are in both list1 and list2
    (repeated elements in listi will not be duplicated in the result).
    This should run in O(n1+n2) where n1=|list1|, n2=|list2|.
    """
    return list(set.intersection(set(list1),set(list2)))