Performance transformation: Loop reordering in sumfact kernel

Performance transformation through loop nest reordering. There are two ways to reorder loops in a tensor contraction:

1. Directly accumulate in output variable after setting to zero
2. Accumulating in a large enough temporary

This merge request implements these ways of loop reordering and the possibility to create an autotune target directly from the loopy kernel.