OwningOpRef<ModuleOp> module_op = ParseModuleOpString(R"mlir(
    module {
      "tf_saved_model.asset"() {filename = "assets/file_0.txt", sym_name = "__tf_saved_model_asset0"} : () -> ()
      func.func @main(%arg_0: tensor<!tf_type.string> {tf_saved_model.bound_input = @__tf_saved_model_asset0}) -> () attributes {tf.entry_function = {inputs = "arg_0:0", outputs = ""}} {
        return
      }
    }
  )mlir");

# CHECK: "tf_saved_model.session_initializer"() <{initializers = [@[[init:.*]]]}> : () -> ()
# CHECK: "tf_saved_model.asset"() <{filename = {{.*}}, sym_name = "[[asset1:__tf_saved_model_asset1_.*]]"}>
# CHECK: "tf_saved_model.asset"() <{filename = {{.*}}, sym_name = "[[asset0:__tf_saved_model_asset0_.*]]"}>

# CHECK:      func @[[init]]
# CHECK-SAME: [[ARG0:%.*]]: tensor<!tf_type.string> {tf_saved_model.bound_input = @[[asset0]]}

    auto asset_op = builder.create<mlir::tf_saved_model::AssetOp>(
        module_->getLoc(),
        /*sym_name=*/
        builder.getStringAttr(
            absl::StrCat("__tf_saved_model_asset", i++, "_", asset.filename())),
        /*filename=*/
        builder.getStringAttr(
            io::JoinPath(kSavedModelAssetsDirectory, asset.filename())));