CUDAgraph block/grid size dependent on previous node's result?

Hi,
is there a way, in a CUDAgraph, to set the parameters to a kernel (block/grid size, shared memory) using the result of a previous node (computed in the same CUDAgraph, just a previous step) ?
Thanks in advance for your help/