def _decode(self, input) :
from nn.layer import Layer
weightsBack = self._getWeightsBack()
deconvolve = conv2d(input, weightsBack, self.getFeatureSize(),
tuple(weightsBack.shape.eval()),
border_mode='full')
out = deconvolve + self._thresholdsBack.dimshuffle('x', 0, 'x', 'x')
return Layer._setActivation(self, out)
def _setActivation(self, out) :
from nn.layer import Layer
from theano.tensor import round
act = Layer._setActivation(self, out)
return round(act, mode='half_away_from_zero') \
if self._forceSparse else act