diff --git a/fairscale/nn/model_parallel/initialize.py b/fairscale/nn/model_parallel/initialize.py
index 1127d4210..37d392e07 100644
--- a/fairscale/nn/model_parallel/initialize.py
+++ b/fairscale/nn/model_parallel/initialize.py
@@ -31,10 +31,11 @@
 _MODEL_PARALLEL_GROUP = None
 # Data parallel group that the current rank belongs to.
 _DATA_PARALLEL_GROUP = None
+_DATA_PARALLEL_RANKS = None
 # Pipeline parallel group that the current rank belongs to.
 _PIPELINE_PARALLEL_GROUP = None
 _PIPELINE_PARALLEL_RANKS = None
-
+# Context parallel group that the current rank belongs to.
 _CONTEXT_PARALLEL_GROUP = None
 _CONTEXT_PARALLEL_GROUP_RANKS = None
 
@@ -111,12 +112,15 @@ def initialize_model_parallel(
     # Build the data parallel groups.
     global _DATA_PARALLEL_GROUP
     assert _DATA_PARALLEL_GROUP is None, "data parallel group is already initialized"
+    global _DATA_PARALLEL_GROUP_RANKS
     for i in range(pipeline_length):
         for j in range(context_parallel_size):
             for k in range(model_parallel_size):
-                group = torch.distributed.new_group(groups[:, i, j, k].tolist(), backend=ddp_backend, timeout=timeout)
+                ranks = groups[:, i, j, k].tolist()
+                group = torch.distributed.new_group(ranks, backend=ddp_backend, timeout=timeout)
                 if i == found[1] and j == found[2] and k == found[3]:
                     _DATA_PARALLEL_GROUP = group
+                    _DATA_PARALLEL_GROUP_RANKS = ranks
 
 
     # Build the model parallel groups.
@@ -244,6 +248,12 @@ def get_data_parallel_rank() -> int:
     return torch.distributed.get_rank(group=get_data_parallel_group())
 
 
+def get_data_parallel_ranks() -> List[int]:
+    """Return data parallel ranks for the data parallel group."""
+    assert _DATA_PARALLEL_GROUP_RANKS is not None, "data parallel group is not initialized"
+    return _DATA_PARALLEL_GROUP_RANKS
+
+
 def destroy_model_parallel() -> None:
     """Set the groups to none."""
     global _MODEL_PARALLEL_GROUP
@@ -251,6 +261,8 @@ def destroy_model_parallel() -> None:
 
     global _DATA_PARALLEL_GROUP
     _DATA_PARALLEL_GROUP = None
+    global _DATA_PARALLEL_RANKS
+    _DATA_PARALLEL_RANKS = None
 
     global _PIPELINE_PARALLEL_GROUP
     _PIPELINE_PARALLEL_GROUP = None