Mostly adapted Op and tests to new backend. TODO: Remove faulty python implementation from _dev20 version of op

Copied GpuAdvancedIncSubtensor1() and GpuAdvancedIncSubtensor1_dev() ops and their tests to sandbox/gpuarray

Faster optimizer

Make PatternSub use that feature to lower optimizer time by tracking
less frequent node. This allow to save 85s on 317s in optimizer time.

Mixed

Faster opt (and other unrelated things).

Cuda fortran order

Add other gpualloc tests. It currently fail as ger isn't implement on
the new back-end.

This make opt slower as it make the creation of GpuDimshuffle node slower.

Alloc cst fold

Remove condition that is always True as we check if it was "output" before and it is the only string supported.

Since we do constant folding earlier, this make a GpuAlloc test fail.
This could also speed some code as this allow more op to work inplace.

Faster opt

I review the code, we always put a tuple or a Theano variable in that
list. We only want to work with the tuple case. So just test for the
tuple. We don't want to cover the case where we have a Theano vector
with a know lenght.

also a few pep8, as we support python 2.6+ now this is valid.

This give a small speed up.

Also import a module in an opt only once.

This make the graph smaller faster, so it speed up optimization