Reverting " Obey training.planner.log_plan flag on if to log sharding plan" (#3279)

Summary:
Pull Request resolved: #3279

Reverting non standard logging change

Reviewed By: TroyGarden

Differential Revision: D80168907

fbshipit-source-id: ec138da1e81d8318b5ddbc27c61d6e00d6aa1351

Author: aliafzal

torchrec/distributed/planner/planners.py

@@ -513,10 +513,7 @@ def plan(
             sharding_plan = to_sharding_plan(best_plan, self._topology)
 
             end_time = perf_counter()
-            shall_log_sharding_plan = False
             for stats in self._stats:
-                if not isinstance(stats, NoopEmbeddingStats):
-                    shall_log_sharding_plan = True
                 stats.log(
                     sharding_plan=sharding_plan,
                     topology=self._topology,
@@ -531,8 +528,6 @@ def plan(
                     sharders=sharders,
                     debug=self._debug,
                 )
-            if shall_log_sharding_plan:
-                logger.info(f"Found sharding plan {sharding_plan}")
             return sharding_plan
         else:
             global_storage_capacity = reduce(