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        &effects) {
  effects.reserve(2 * getArgs().size() + 1);
  effects.emplace_back(MemoryEffects::Write::get(),
                       ResourceEffects::TPUExecute::get());

  // Conservatively mark resource handles as read and write, as without
  // analyzing TPUCompile, there is not sufficient information to determine
  // effects on resources. For the MLIR bridge, this op will never be

    intermediate dummy ops for grouping control dependencies (Identity, NoOp),
    unless they are part of an unexplainable path between other ops.
    This pass is useful to understand control dependency conservatism for a
    given MLIR module.

    For example, the following function
    ```mlir
    func.func @path_with_intermediate_ops(
      %arg0: tensor<!tf_type.resource<tensor<f32>>>,

//    (note that returning `std::nullopt` here signals exactly that).
// 3) If `is_stateless` is false and no ordering token is present, then we treat
//    the op conservatively which means that different op instances need
//    dependencies. This is realized by always returning the same string ("")
//    in this case. In fact, we could return any string here, as long as it is