the code I wrote above can't run it gave different errors. first can't assign value to a theano tensor directly and if I used a numpy variable I can't assign a value from theano tensor because it is considered as sequence to array cell. I'm trying to implement upsampling using switches.
On Wed, Jan 25, 2017 at 9:17 PM, Frédéric Bastien < [email protected]> wrote: > I don't undertand, what Theano don't support? We support advanced indexing. > > Fred > > On Wed, Jan 25, 2017 at 2:53 PM, Feras Almasri <[email protected]> > wrote: > >> 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.h >>> tml#advanced-indexing >>> >>> On Tue, Jan 24, 2017 at 4:17 PM, Feras Almasri <[email protected]> >>> 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]. >>>> 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. >> > > -- > > --- > You received this message because you are subscribed to a topic in the > Google Groups "theano-users" group. > To unsubscribe from this topic, visit https://groups.google.com/d/ > topic/theano-users/4CLeUrt_Ir8/unsubscribe. > To unsubscribe from this group and all its topics, send an email to > [email protected]. > 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.
