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.
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