> > sorry to dig up this old thread, but I am also working with pymc3 and have >> a related problem: >> > I am trying to create custom Ops for integrating an ODE model. I can already do it with as_op, but that can't be pickled leading to problems with parallelization in pymc3.
I followed the theano documentation to implement a custom Op, but I noticed a problem with the otypes. The *Ops otypes is a list of dvector, but the length of that list can change with the Op parameters*. But the itypes/otypes are not instance-attributes but class attributes. So theoretically I *can't have multiply custom Ops of the same type that have different itypes/otypes*, right? Also, do you have any idea how I could circumvent this? cheers -- --- 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.
