<< "Invalid number of arguments to "
              "non_max_suppression_padded_v2 (need at least 5): "
           << func_.getNumArguments();
  }
  if (func_.getFunctionType().getNumResults() != 2) {
    return func_.emitWarning() << "Invalid number of results from "
                                  "non_max_suppression_padded_v2 (need 2): "
                               << func_.getFunctionType().getNumResults();
  }

module {
// expected-warning @+1 {{Invalid number of results from non_max_suppression_padded_v2}}
func.func private @nms_padded_invalid_num_results(%arg0: tensor<100x4xf32>, %arg1: tensor<100xf32>, %arg2: tensor<i32>, %arg3: tensor<f32>, %arg4: tensor<f32>, %arg5: tensor<i1>, %arg6: tensor<i1>, %arg7: tensor<i1>, %arg8: tensor<i32>) -> () attributes  {tf._implements = "non_max_suppression_padded_v2", tf._reference = "mlir"}

constexpr char kTFAPIImplements[] = "tf.api_implements";
constexpr char kTFTextAPIPrefix[] = "tftext:";
constexpr char kCustomSSDPostprocessing[] = "TFLite_Detection_PostProcess";
constexpr char kTfNMSPadded[] = "non_max_suppression_padded_v2";
constexpr char kCustomMaxUnpooling[] = "addons:MaxUnpooling2D";
constexpr char kCustomDenseImageWarp[] = "addons:DenseImageWarp";
constexpr char kTFLFusableOp[] = "tfl_fusable_op";

using mlir::TF::FuncAttr;