# Adjusting Grid Size in YOLO?

I was going through the YOLO Object Detection Paper by Joseph Redmon.

The authors use a grid size of $S = 7$. If I am not wrong, the network architecture has carefully been curated for this specific grid size (Since the output of the final conv layer has dimensions $7 \times 7 \times 1024$).

Thus my question is, is there any clear way to adjust the network architecture for different values of $S$? The authors do not mention anything about this in their paper.