According to the documentation, clone has a flag (share_inputs) which, if set to False, will clone the shared variables in the computational graph. But what exactly does that mean?
If I understand correctly, the function returns a symbolic expression which is identical to the one given as a parameter, except some nodes in the graph have been replaced. First of all, how does one reference the other variables that are cloned if share_inputs is set to False? they don't seem to be part of what theano.clone returns. Second of all, what exactly does it mean to clone a shared variable, when the underlying storage is the same? how does that affect training? Thank you :) -- --- 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.
