diff --git a/torch/_custom_op/impl.py b/torch/_custom_op/impl.py
index a7228861fa7..807d47c26a4 100644
--- a/torch/_custom_op/impl.py
+++ b/torch/_custom_op/impl.py
@@ -782,7 +782,6 @@ def validate_function_matches_schema(
     compare(kwargonly, schema.arguments.flat_kwarg_only)
 
 
-
 def infer_schema(prototype_function: typing.Callable) -> str:
     sig = inspect.signature(prototype_function)
 
diff --git a/torch/_library/abstract_impl.py b/torch/_library/abstract_impl.py
index 19ee1d295d3..e09d3eace9b 100644
--- a/torch/_library/abstract_impl.py
+++ b/torch/_library/abstract_impl.py
@@ -137,9 +137,7 @@ class AbstractImplCtx:
         that depends on the data of the input Tensors.
 
         Args:
-            min (int): A statically known inclusive lower bound for this symint.
-                min must be at least 2 due to implementation details of
-                torch.compile. Default: 2.
+            min (int): A statically known inclusive lower bound for this symint. Default: 0
             max (Optional[int]): A statically known inclusive upper bound for this
                 symint. Default: None
 
@@ -202,5 +200,7 @@ class AbstractImplCtx:
             )
 
         result = self._shape_env.create_unbacked_symint()
-        torch.fx.experimental.symbolic_shapes.constrain_range(result, min=0, max=max)
+        torch.fx.experimental.symbolic_shapes._constrain_range_for_size(
+            result, min=min, max=max
+        )
         return result