Hi, I'm trying to implement an equivalent of the following:
NVec = np.array([np.ones(1024)*sig for sig in noise]).flatten() Offs = np.array([np.ones(1024)*off for off in offset]).flatten() Amps = np.array([np.ones(1024)*amp for amp in amplitude]).flatten() where noise, offset, and amplitude are theano vectors that contain free parameters from a PyMC3 likelihood. When i try and do this I get the following: ValueError: length not known: offset [id A] which I assume is because these vectors have no notion of length right? I'm just wondering what the equivalent expression would be for use in theano. So far the closest i've gotten is creating a list of tensors: [theano.tensor.ones(1024)*noise[i] for i in range(useToAs)] but I cant seem to get them to concatenate into a single tensor. If it helps, I know the length of everything before hand.. Apologies if this is documented all over the place, I couldn't find an example that I could translate into what I wanted to do. Many Thanks -- --- 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.
