Hi


I am using this theano code MLP 
<https://github.com/zxie/vae/blob/master/mlp.py> which implements a 
variational AE. I am interested on getting self.mu and self.var when the 
MLP is used in the decoder. However, I am not sure what is the easiest way 
to do such modification in this code (and on the vae.py), basically I need 
something like this:


# for use as decoder
if y:
assert(eps is None)
# XXX specific to [0, 1] outputs
self.out = [T.nnet.sigmoid(self.mu),self.mu,self.var]
self.cost = -T.sum(log_diag_mvn(self.out, self.var)(y))


but of course this does not work. Is it a way to get multiple outputs as 
above? or how can I get the mu and var in the decoder step?

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