Update on "[Gradient Compression] Refactor default_hooks.py and power…

…SGD_hook.py by creating a util function that make a vanilla allreduce future"

Address #50973 (comment)

Original PR issue: Investigate Applying PowerSGD to Communication Hook for Gradient Compression #47202

Differential Revision: [D26070147](https://our.internmc.facebook.com/intern/diff/D26070147/)

[ghstack-poisoned]

torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py

@@ -127,7 +127,7 @@ def maybe_increase_iter(self, bucket):
 
         if self.iter == self.start_powerSGD_iter:
             logging.info(
-                "Starting to apply PowerSGD after {} iterations.".format(self.iter)
+                "Start to apply PowerSGD after {} iterations.".format(self.iter)
             )