diff --git a/onnxscript/function_libs/torch_lib/ops/core.py b/onnxscript/function_libs/torch_lib/ops/core.py
index 76d1de9a1a..f430d77d48 100644
--- a/onnxscript/function_libs/torch_lib/ops/core.py
+++ b/onnxscript/function_libs/torch_lib/ops/core.py
@@ -5972,6 +5972,18 @@ def aten_round(self: TFloat) -> TFloat:
     return op.Round(self)
 
 
+@torch_op("aten::round.decimals")
+def aten_round_decimals(self: TFloat, decimals: int = 0) -> TFloat:
+    """round.decimals(Tensor self, *, int decimals) -> Tensor"""
+
+    # Scale the input by 10^decimals, round it, and scale it back.
+    ten = op.CastLike(10.0, self)
+    scale = op.Pow(ten, op.CastLike(decimals, self))
+    self_scaled = op.Mul(self, scale)
+    rounded = op.Round(self_scaled)
+    return op.Div(rounded, scale)
+
+
 def aten_row_indices(self: TensorType) -> TensorType:
     """row_indices(Tensor(a) self) -> Tensor(a)"""
 
diff --git a/onnxscript/tests/function_libs/torch_lib/ops_test_data.py b/onnxscript/tests/function_libs/torch_lib/ops_test_data.py
index 7d8a544446..e014df392c 100644
--- a/onnxscript/tests/function_libs/torch_lib/ops_test_data.py
+++ b/onnxscript/tests/function_libs/torch_lib/ops_test_data.py
@@ -1153,23 +1153,21 @@ def _where_input_wrangler(
     TorchLibOpInfo("reshape", core_ops.aten_reshape),
     TorchLibOpInfo("resolve_conj", core_ops.aten_resolve_conj),
     TorchLibOpInfo("resolve_neg", core_ops.aten_resolve_neg),
-    TorchLibOpInfo(
-        "round",
-        core_ops.aten_round,
-    )
+    TorchLibOpInfo("round", core_ops.aten_round)
     .xfail(
         variant_name="decimals_0",
-        reason="The op does not support decimals yet",
+        reason="This variant does not accept decimals",
         test_class_name="TestOutputConsistencyEager",
     )
     .xfail(
         variant_name="decimals_3",
-        reason="The op does not support decimals yet",
+        reason="This variant does not accept decimals",
     )
     .xfail(
         variant_name="decimals_neg_3",
-        reason="The op does not support decimals yet",
+        reason="This variant does not accept decimals",
     ),
+    TorchLibOpInfo("round_decimals", core_ops.aten_round_decimals),
     TorchLibOpInfo("rsqrt", core_ops.aten_rsqrt),
     TorchLibOpInfo("rsub", core_ops.aten_rsub),
     TorchLibOpInfo(
@@ -1939,6 +1937,7 @@ def _where_input_wrangler(
         "nn.functional.upsample_nearest3d",
     ),
 )
+ops_test_common.duplicate_opinfo(OPS_DB, "round", ("round_decimals",))
 ops_test_common.duplicate_opinfo(OPS_DB, "squeeze", ("squeeze_dim",))
 ops_test_common.duplicate_opinfo(OPS_DB, "var_mean", ("var_mean_dim", "var_mean_correction"))
 ops_test_common.duplicate_opinfo(OPS_DB, "view_as_complex", ("view_as_complex_copy",))