It is not a bug. Currently, by default the shape of a shared variable can
changes during the execution. So we can't use the shape to determine the
broadcasting pattern.
You can pass the parameter broadcastable=() where you put the broadcast
pattern. By default it is never broadcastable.
Fred
On
I saw follown defferences:
import theano
import theano.tensor as T
import numpy as np
o = np.ones((1,2,3))
o2= np.ones((2,1))
o2_shared = theano.shared(ones((2, 1)))
print((o2 + o).shape)
print((o2_shared + o).shape)
result is
(1, 2, 3)
[1 2 1]
Maybe, broadcasting result is
