%0 = "tf.ScatterNd"(%arg0, %arg1, %shape) : (tensor<4x1xi32>, tensor<4xf32>, tensor<1xi32>) -> tensor<8xf32>
  func.return %0 : tensor<8xf32>
}

// CHECK-LABEL: @_UnaryOpsComposition
// CHECK-SAME: %[[ARG0:.*]]: tensor<4xf32>
func.func @_UnaryOpsComposition(%arg0: tensor<4xf32>) -> tensor<4xf32> {

  // CHECK: %[[RESULT0:.*]] = "tf.Asin"(%[[ARG0]])
  // CHECK: %[[RESULT1:.*]] = "tf.Abs"(%[[RESULT0]])

        op.getTransposeA(), op.getTransposeB());

    rewriter.replaceOp(op, {result});
    return success();
  }
};

// Lowers _UnaryOpsComposition op as a series of original TensorFlow ops that
// were fused together.
class Lower_UnaryOpsComposition
    : public OpRewritePattern<_UnaryOpsCompositionOp> {
 public:

            "LeakyReluGrad", "Elu", "EluGrad", "Selu", "SeluGrad", "Select",
            "SelectV2", "Transpose", "ConjugateTranspose",
            "_UnaryOpsComposition", "CollectiveReduceV2",
            "CollectiveAssignGroupV2",
            // The following 5 operations are converted to identity
            "PlaceholderWithDefault", "PreventGradient", "StopGradient",

  TF_DerivedOperandSizeAttr NumDynamicShapes = TF_DerivedOperandSizeAttr<0>;
  TF_DerivedResultSizeAttr num_computations = TF_DerivedResultSizeAttr<1>;
}

def TF__UnaryOpsCompositionOp : TF_Op<"_UnaryOpsComposition", [Pure, TF_SameOperandsAndResultTypeResolveRef]> {
  let summary = [{
*NOTE*: Do not invoke this operator directly in Python. Graph rewrite pass is
  }];

  let description = [{