Got another question that can't find guidelines from Theano document.
Consider these two cases:
Case 1:
a = T.dmatrix('a')
b = T.dmatrix('b')
c = T.dmatrix('c')
y = T.pow(a,b)-c
f = theano.function([a,b,c], y)
f(np.reshape(np.ogrid[0:1:4j],(2,2)),np.reshape(np.ogrid[0:1:4j],(2,2)),
np.reshape(np.ogrid[0:1:4j],(2,2))).cumsum()
Case 2:
a = T.dmatrix('a')
b = T.dmatrix('b')
c = T.dmatrix('c')
y = T.pow(a,b)-c
f = theano.function([a,b,c], y.cumsum())
f(np.reshape(np.ogrid[0:1:4j],(2,2)),np.reshape(np.ogrid[0:1:4j],(2,2)),
np.reshape(np.ogrid[0:1:4j],(2,2)))
These two functions have the same output. So it seems theano.function() can
take any (???) Python built-in operators like cumsum()? What else functions
can be blended inside theano.function(), like ufunc or customized functions?
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