diff --git a/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv b/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv
index 510f3886fa4d..c62ae22a4bc8 100644
--- a/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv
@@ -378,7 +378,7 @@ vgg16,pass,0
 
 
 
-vision_maskrcnn,pass,20
+vision_maskrcnn,pass,18
 
 
 
diff --git a/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv b/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv
index ff63e3c114e1..903a8aec2557 100644
--- a/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv
@@ -286,7 +286,7 @@ vgg16,pass,6
 
 
 
-vision_maskrcnn,pass,39
+vision_maskrcnn,pass,37
 
 
 
diff --git a/torch/_dynamo/variables/distributed.py b/torch/_dynamo/variables/distributed.py
index 31aed55da1f2..f10d159571e2 100644
--- a/torch/_dynamo/variables/distributed.py
+++ b/torch/_dynamo/variables/distributed.py
@@ -274,7 +274,11 @@ class DeviceMeshVariable(DistributedVariable):
         if name == "get_rank":
             return ConstantVariable.create(self.value.get_rank())
         if name == "get_local_rank":
-            return ConstantVariable.create(self.value.get_local_rank())
+            const_args = [x.as_python_constant() for x in args]
+            const_kwargs = {k: v.as_python_constant() for k, v in kwargs.items()}
+            return ConstantVariable.create(
+                self.value.get_local_rank(*const_args, **const_kwargs)
+            )
         if name == "get_group":
             const_args = [x.as_python_constant() for x in args]
             const_kwargs = {k: v.as_python_constant() for k, v in kwargs.items()}