Update DeltaCheckpointing and DeltaPublish with generic model tracker (#3543)

Summary:
Pull Request resolved: #3543

internal
Updating DeltaCP and DeltaPublish to with ModelDeltaTracker to allow these functionalities to use either of DeltaTracker implementation

General Context: We are in the process of transition to a unified DeltaTracker and this is 9/n diffs representing  changes towards the transition.

Differential Revision:
D80615817

Privacy Context Container: L1158701

fbshipit-source-id: 3bf88feb28a490648a83864cba995968ba45e759

Author: aliafzal

torchrec/distributed/model_tracker/model_delta_tracker.py

@@ -94,7 +94,7 @@ def record_lookup(
             kjt (KeyedJaggedTensor): The KeyedJaggedTensor containing IDs to record.
             states (torch.Tensor): The embeddings or states corresponding to the IDs in the kjt.
         """
-        pass
+        ...
 
     @abstractmethod
     def get_unique_ids(self, consumer: Optional[str] = None) -> Dict[str, torch.Tensor]:
@@ -104,7 +104,7 @@ def get_unique_ids(self, consumer: Optional[str] = None) -> Dict[str, torch.Tens
         Args:
             consumer (str, optional): The consumer to retrieve unique IDs for.
         """
-        pass
+        ...
 
     @abstractmethod
     def get_unique(
@@ -120,7 +120,7 @@ def get_unique(
         Args:
             consumer (str, optional): The consumer to retrieve delta values for.
         """
-        pass
+        ...
 
     @abstractmethod
     def clear(self, consumer: Optional[str] = None) -> None:
@@ -130,7 +130,7 @@ def clear(self, consumer: Optional[str] = None) -> None:
         Args:
             consumer (str, optional): The consumer to clear IDs/States for.
         """
-        pass
+        ...
 
     def step(self) -> None:
         """