I run the example code from theano tutorial
http://deeplearning.net/software/theano/library/compile/opfromgraph.htm
<http://deeplearning.net/software/theano/library/compile/opfromgraph.html>l
But it appears that theano.OpFromGraph does not take any effect...
from theano import function, OpFromGraph, tensor, gradx, y, z =
tensor.scalars('xyz')e = x + y * zdef rescale_dy(inps, grads):
x, y, z = inps
g, = grads
return z*2op = OpFromGraph(
[x, y, z], [e], grad_overrides=['default', rescale_dy, 'default'])e2 =
op(x, y, z)dx, dy, dz = grad(e2, [x, y, z])fn = function([x, y, z], [dx, dy,
dz])
print fn(2.,3.,4.)
*My output is [1.,4.,3.] rather than [1.,8.,3.] as being shown in the
tutorial.* Could anyone give an explain on that??
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