a = shared(np.arange(3*8).reshape(8,3).astype('float32'))
b = diff(a, axis=0)
T.grad(b.norm(2), a)This gives me an error. It's unable to find the gradient of the diff operator if it has been used on a 2 dimensional tensor. Is this how it was meant to be or is this a bug? -- --- 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.
