Hi Pascal,
many thanks for your help.
I modified the code and changed shared_randomstreams.RandomStreams, with
MRG_RandomStreams where used:
def _dropout_from_layer(rng, layer, p):
#p is the probablity of dropping a unit
#it was originally:
#srng =
theano.tensor.shared_randomstreams.RandomStreams(rng.randint(999999))
#changed to reduce slowdown
srng = MRG_RandomStreams(rng.randint(999999))
mask = srng.binomial(n=1, p=1-p, size=layer.shape)
output = layer * T.cast(mask, theano.config.floatX)
return output
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