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 difference. But changing the order of calculation: 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((o + o2).shape) print((o + o2_shared).shape.eval()) result is same as follows: (1, 2, 3) [1 2 3] Is this theano.shared 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 theano-users+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
