thanks for mentioning this but theano function itself doesn't accept this implementation. how can I implement it ?
On Wednesday, January 25, 2017 at 8:14:25 PM UTC+1, nouiz wrote: > > That way of working will be super slow. Try to make your code "vectorized" > by using advanced indexing when possible: > > > https://docs.scipy.org/doc/numpy/reference/arrays.indexing.html#advanced-indexing > > On Tue, Jan 24, 2017 at 4:17 PM, Feras Almasri <[email protected] > <javascript:>> wrote: > >> layer_Fmaps of size (1,69,236,236) sitwches of size (1,69,708,708) >> >> in each 3 by 3 matrix in layer_Fmaps there is only cell having a value 1 >> which should be replace by the opposite value of sitwches >> >> I can't find a way to solve the problem by assigning a direct value into >> a certain location using a loop >> >> def switchs(layer_Fmaps, step=2, switches): >> for idx in range(96): >> for i in range(0, 708, step): >> for j in range(0, 708, step): >> val = layer_Fmaps[0][idx][i/2,j/2] >> switches = T.set_subtensor(switches[0][idx][i:i + step, >> j:j + step],val) >> return switches >> >> knowing that switchs and layer_Fmaps are tensor4 >> >> img = np.zeros((1,96,236,236)) >> sswitchs = np.zeros((1,96,708,708)) >> >> inp = T.tensor4('img') >> SW = T.tensor4('SW') >> >> tester = switchs(img,3,sswitchs) >> >> f = theano.function([inp, SW], tester) >> >> d = f(img,sswitchs) >> >> Any suggestion would be appreciated. >> >> -- >> >> --- >> 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 [email protected] <javascript:>. >> For more options, visit https://groups.google.com/d/optout. >> > > -- --- 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 [email protected]. For more options, visit https://groups.google.com/d/optout.
