Hi, I'm trying to get gradient wrt shared variable after setting new value
and get an error. Am I doing something wrong?
Minimal example to play with
from theano import theano, tensor as tt
abc = tt.fvector()
abc.tag.test_value = np.array([1.,2.,3.], dtype='float32')
X = theano.shared(np.ones((4,3), 'float32'))
y = tt.dot(X, abc)
X.set_value(np.ones((1, 3), 'float32'))
y.sum().eval({abc:np.array([1.,2.,3.], dtype='float32')}) # works
g = theano.grad(y.sum(), X)
----------------------------
...
ValueError: shapes (3,1) and (4,) not aligned: 1 (dim 1) != 4 (dim 0)
theano.version 0.9.0.dev-dded8355679b510acf392ce35753cbc7856ba69f
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