diff --git a/lib/Conversion/TorchOnnxToTorch/DefaultDomainQtoZ.cpp b/lib/Conversion/TorchOnnxToTorch/DefaultDomainQtoZ.cpp
index a540f0b0d..576534d18 100644
--- a/lib/Conversion/TorchOnnxToTorch/DefaultDomainQtoZ.cpp
+++ b/lib/Conversion/TorchOnnxToTorch/DefaultDomainQtoZ.cpp
@@ -2404,6 +2404,28 @@ void mlir::torch::onnx_c::populateDefaultDomainQtoZ(
                                                         exp);
         return success();
       });
+  patterns.onOp("Softsign", 22,
+                [](OpBinder binder, ConversionPatternRewriter &rewriter) {
+                  Torch::ValueTensorType resultType;
+                  Value input;
+                  if (binder.tensorOperand(input) ||
+                      binder.tensorResultType(resultType)) {
+                    return failure();
+                  }
+
+                  Value absX = rewriter.create<Torch::AtenAbsOp>(
+                      binder.getLoc(), resultType, input);
+
+                  Value constOne = rewriter.create<Torch::ConstantIntOp>(
+                      binder.getLoc(), rewriter.getI64IntegerAttr(1));
+
+                  Value absXPlusOne = rewriter.create<Torch::AtenAddScalarOp>(
+                      binder.getLoc(), resultType, absX, constOne, constOne);
+
+                  rewriter.replaceOpWithNewOp<Torch::AtenDivTensorOp>(
+                      binder.op, resultType, input, absXPlusOne);
+                  return success();
+                });
   patterns.onOp(
       "Trilu", 14, [](OpBinder binder, ConversionPatternRewriter &rewriter) {
         Torch::ValueTensorType resultType;
diff --git a/test/Conversion/TorchOnnxToTorch/simple_ops_q_to_z.mlir b/test/Conversion/TorchOnnxToTorch/simple_ops_q_to_z.mlir
index 0fc82da74..65b7f08e6 100644
--- a/test/Conversion/TorchOnnxToTorch/simple_ops_q_to_z.mlir
+++ b/test/Conversion/TorchOnnxToTorch/simple_ops_q_to_z.mlir
@@ -580,6 +580,21 @@ func.func @test_softmax_negative_axis(%arg0: !torch.vtensor<[3,4,5],f32>) -> !to
 
 // -----
 
+// CHECK-LABEL: func.func @test_softsign
+func.func @test_softsign(%arg0: !torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],f32> attributes {torch.onnx_meta.ir_version = 10 : si64, torch.onnx_meta.opset_version = 22 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
+  // CHECK: %[[NONE:.*]] = torch.constant.none
+  // CHECK: %[[ABS:.+]] = torch.aten.abs %arg0 : !torch.vtensor<[3,4,5],f32> -> !torch.vtensor<[3,4,5],f32>
+  // CHECK: %[[INT1:.*]] = torch.constant.int 1
+  // CHECK: %[[RES:.+]] = torch.aten.add.Scalar %[[ABS]], %[[INT1]], %[[INT1]] : !torch.vtensor<[3,4,5],f32>, !torch.int, !torch.int -> !torch.vtensor<[3,4,5],f32>
+  // CHECK: %[[SCALE_T:.*]] = torch.aten.div.Tensor %arg0, %[[RES]] : !torch.vtensor<[3,4,5],f32>, !torch.vtensor<[3,4,5],f32> -> !torch.vtensor<[3,4,5],f32>
+  // CHECK: return %[[SCALE_T]] : !torch.vtensor<[3,4,5],f32>
+  %none = torch.constant.none
+  %0 = torch.operator "onnx.Softsign"(%arg0) : (!torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],f32>
+  return %0 : !torch.vtensor<[3,4,5],f32>
+}
+
+// -----
+
 // CHECK-LABEL: func.func @test_selu
 func.func @test_selu(%arg0: !torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],f32> attributes {torch.onnx_meta.opset_version = 6 : si64} {
   // CHECK-DAG: %[[F1:.+]] = torch.constant.float 1