Scan opt to push out Dot products outside of Scan's inner graph

This is still work in progress. Since dealing with Scan is non-trivial, I just want the opportunity to get some feedback to make sure I'm not going in the wrong direction. At the very least, I still have to do the following : 
- Document the code further
- Add tests to validate that the optimization is applied properly

This scan optimization covers the following case : 
- One of the inner graph's output is produced by a Dot operation
- The Dot's inputs are a 2D non-sequence input to scan and a 1D tensor produced by scan's inner function

In the covered case, the optimization adds the 1D intermediate variable as a new scan output and performs the Dot outside of Scan with this new output.

On CPU (i7-950) with input sizes (500,) and (500, 500), the following function
a = T.vector()
b = T.matrix()
c = T.dot(a, b)
f = theano.function([a, b], T.jacobian(c, a))
goes from taking 0.06 seconds to 0.03 seconds by execution (averaged over 100 runs)
Why do you want the vector input to not already be an output of the scan?  That would be the ideal case I think.