diff --git a/lib/Conversion/TorchToMhlo/Basic.cpp b/lib/Conversion/TorchToMhlo/Basic.cpp
index a8f77c112..71ca9de23 100644
--- a/lib/Conversion/TorchToMhlo/Basic.cpp
+++ b/lib/Conversion/TorchToMhlo/Basic.cpp
@@ -178,6 +178,9 @@ public:
 
     if (!rhsType) {
       rhs = mhlo::scalarToMhloTensor(rewriter, op, adaptor.other(), outElemTy);
+      if (isa<AtenRsubScalarOp>(op)) {
+        std::swap(lhs, rhs);
+      }
     }
 
     lhs = mhlo::promoteType(rewriter, lhs, outType);
@@ -1117,6 +1120,7 @@ void mlir::torch::torch_to_mhlo::populateBasicOpPatternsAndLegality(
   INSERT_BINARY_ADDSUB_PATTERN(AtenAddScalarOp, chlo::BroadcastAddOp);
   INSERT_BINARY_ADDSUB_PATTERN(AtenSubTensorOp, chlo::BroadcastSubOp);
   INSERT_BINARY_ADDSUB_PATTERN(AtenSubScalarOp, chlo::BroadcastSubOp);
+  INSERT_BINARY_ADDSUB_PATTERN(AtenRsubScalarOp, chlo::BroadcastSubOp);
 #undef INSERT_BINARY_ADDSUB_PATTERN
 
 #define INSERT_BINARY_MULDIV_PATTERN(AtenOp, ChloOp)                           \
diff --git a/test/Conversion/TorchToMhlo/elementwise.mlir b/test/Conversion/TorchToMhlo/elementwise.mlir
index 655f62a89..aaf5720aa 100644
--- a/test/Conversion/TorchToMhlo/elementwise.mlir
+++ b/test/Conversion/TorchToMhlo/elementwise.mlir
@@ -197,6 +197,27 @@ func.func @torch.aten.subscalar$basic(%arg0: !torch.vtensor<[?,?],f32>) -> !torc
 
 // -----
 
+// CHECK-LABEL:  func.func @torch.aten.rsubscalar$basic(
+// CHECK-SAME:         %[[ARG0:.*]]: !torch.vtensor<[?,?],f32>) -> !torch.vtensor<[?,?],f32> {
+// CHECK:         %[[T0:.*]] = torch_c.to_builtin_tensor %[[ARG0]] : !torch.vtensor<[?,?],f32> -> tensor<?x?xf32>
+// CHECK:         %[[INT9:.*]] = torch.constant.int 9
+// CHECK:         %[[T1:.*]] = torch_c.to_i64 %[[INT9]]
+// CHECK:         %[[INT1:.*]] = torch.constant.int 1
+// CHECK:         %[[T2:.*]] = tensor.from_elements %[[T1]] : tensor<1xi64>
+// CHECK:         %[[T3:.*]] = mhlo.convert(%[[T2]]) : (tensor<1xi64>) -> tensor<1xf32>
+// CHECK:         %[[T4:.*]] = mhlo.reshape %[[T3]] : (tensor<1xf32>) -> tensor<f32>
+// CHECK:         %[[T5:.*]] = chlo.broadcast_subtract %[[T4]], %[[T0]] : (tensor<f32>, tensor<?x?xf32>) -> tensor<?x?xf32>
+// CHECK:         %[[T6:.*]] = torch_c.from_builtin_tensor %[[T5]] : tensor<?x?xf32> -> !torch.vtensor<[?,?],f32>
+// CHECK:         return %[[T6]] : !torch.vtensor<[?,?],f32>
+func.func @torch.aten.rsubscalar$basic(%arg0: !torch.vtensor<[?,?],f32>) -> !torch.vtensor<[?,?],f32> {
+  %int9 = torch.constant.int 9
+  %int1 = torch.constant.int 1
+  %0 = torch.aten.rsub.Scalar %arg0, %int9, %int1 : !torch.vtensor<[?,?],f32>, !torch.int, !torch.int -> !torch.vtensor<[?,?],f32>
+  return %0 : !torch.vtensor<[?,?],f32>
+}
+
+// -----
+
 // CHECK-LABEL:  func.func @torch.aten.subscalar$alpha(
 // CHECK-SAME:         %[[ARG0:.*]]: !torch.vtensor<[?,?],f32>) -> !torch.vtensor<[?,?],f32> {
 // CHECK:         %[[T0:.*]] = torch_c.to_builtin_tensor %[[ARG0]] : !torch.vtensor<[?,?],f32> -> tensor<?x?xf32>