}
  std::string tfr_raw_text;
  for (const auto& file : files) {
    string fullpath = io::JoinPath(composite_mlir_dir, file);
    if (env->MatchPath(fullpath, io::JoinPath(composite_mlir_dir, "*.mlir"))) {
      std::string text;
      TF_RETURN_IF_ERROR(ReadFileToString(env, fullpath, &text));
      tfr_raw_text.append(text);
    }
  }

    .Output("z: T")
    .Attr(
        "T: {bfloat16, half, float, double, uint8, int8, int16, int32, int64, "
        "complex64, complex128, string}")
    .SetShapeFn(shape_inference::UnchangedShape);

constexpr char tfr_raw_text[] = R"(

tfr.func @tf__my_add_n(%values: !tfr.tensor_list,
                       %n: i64 {tfr.name="N"}) -> !tfr.tensor {
  %index = arith.constant 0 : index
  %cst = arith.constant 1 : i64

  // Constructs the decompose context from the tfr text module and the mlir
  // context. The tfr text module is added to the mlir context.
  static std::unique_ptr<TFRDecomposeContext> GetFromText(
      StringPiece tfr_raw_text, mlir::MLIRContext* mlir_ctx);

  // Decomposes the op in the NodeDef to a set of primitive ops according to the
  // decompose library in the context. Wrap the decomposed result in a
  // FunctionDef.