[`distributed`] Divide the expert gradients once when `efsdp_size == 1` (#50292)
* Divide the expert gradients once when efsdp_size == 1
With token dispatch, the experts are FSDP-sharded over efsdp_size ranks with a
gradient divide factor of fsdp_size and a forced sum reduction. When efsdp_size == 1
(for example fsdp_size == ep_size without TP), FSDP2 has no reduce-scatter to run: it
divides the gradient while copying it, then the forced sum divides it again. Expert
gradients came out fsdp_size times too small. Only force the sum when there is a
reduce-scatter.
* Shorten the efsdp_size == 1 comment
* Move the efsdp_size == 1 comment under the if
* Simplify the bf16 expert grads test docstrings