return this;
    }

    public void generate(DefaultVersionCatalog model) {
        writeHeader();
        writeMetadata();
        writeVersions(model);
        writeLibraries(model);
        writeBundles(model);
        writePlugins(model);
    }

    private void writeVersions(DefaultVersionCatalog model) {
        List<String> versions = model.getVersionAliases();
        if (versions.isEmpty()) {
            return;

namespace tensorflow {
namespace saved_model {

// Utility functions for SavedModel reading and writing.

// Returns "WriteVersion" ("1" or "2") of the SavedModel protobuf. If the
// protobuf has exactly one MetaGraphDef, which contains a SavedObjectGraph, it
// is version 2. Else, the protobuf is version 1.
//
// NOTE: The "WriteVersion" does *not* equal the major version of TF.
std::string GetWriteVersion(const SavedModel& saved_model);

        buildFile << """
            task writeVersion {
                doLast {
                    file("version.txt").with {
                        createNewFile()
                        text = gradle.gradleVersion
                    }
                }
            }
        """

        when:
        def runner = this.runner('writeVersion')
        configurer.execute(runner)
        runner.build()