labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

Provide code to help us reproduce your issues using one of the following options:

#### Option A: Reference colab notebooks

                  override fun peek() = exchange.peekTrailers()

                  override fun get(): Headers {
                    val source = responseBody.source()
                    if (source.isOpen) {
                      source.skipAll()
                    }
                    return peek() ?: error("null trailers after exhausting response body?!")
                  }
                },

        return new CommonsCliUpgradeOptions(Options.SOURCE_CLI, cliManager, cliManager.parse(args));
    }

    protected CommonsCliUpgradeOptions(String source, CLIManager cliManager, CommandLine commandLine) {
        super(source, cliManager, commandLine);
    }

    @Override
    @Nonnull
    public Optional<List<String>> goals() {
        if (!commandLine.getArgList().isEmpty()) {

        try {
            final RESULT result = entityType.newInstance();
            result.setElevateWordId(DfTypeUtil.toString(source.get("elevateWordId")));
            result.setLabelTypeId(DfTypeUtil.toString(source.get("labelTypeId")));
            return updateEntity(source, result);

    protected <RESULT extends Group> RESULT createEntity(Map<String, Object> source, Class<? extends RESULT> entityType) {
        try {
            final RESULT result = entityType.newInstance();
            result.setGidNumber(DfTypeUtil.toLong(source.get("gidNumber")));
            result.setName(DfTypeUtil.toString(source.get("name")));
            return updateEntity(source, result);
        } catch (InstantiationException | IllegalAccessException e) {

 * limitations under the License.
 */
package gradlebuild.docs.dsl.docbook

import gradlebuild.docs.dsl.source.model.ClassMetaData
import gradlebuild.docs.dsl.source.model.MethodMetaData
import gradlebuild.docs.dsl.source.model.ParameterMetaData
import gradlebuild.docs.dsl.source.model.PropertyMetaData
import gradlebuild.docs.dsl.source.model.TypeMetaData
import gradlebuild.docs.XmlSpecification
import gradlebuild.docs.dsl.docbook.model.ClassDoc

            return !excludesWhitespace;
        }
        return true;
    }

    /**
     * Converts the source property name to the destination property name for use in a {@literal Map}.
     *
     * @param srcPropertyName
     *            The source property name
     * @return The destination property name
     */
    protected String toMapDestPropertyName(final String srcPropertyName) {

                final String source;
                if (numberOfReplicas > 0) {
                    source = "{\"settings\":{\"index\":{\"number_of_shards\":" + numberOfShards
                            + ",\"number_of_replicas\":0,\"auto_expand_replicas\":\"0-" + numberOfReplicas + "\"}}}";
                } else {

    /**
     * Gets the raw model to build. If not set, model source will be used to load raw model.
     *
     * @return The raw model to build or {@code null} if not set.
     */
    Model getRawModel();

    /**
     * Set raw model.
     *
     * @param rawModel
     */
    ModelBuildingRequest setRawModel(Model rawModel);

    /**
     * Gets the source of the POM to process.
     *

    }

    @Override
    protected <RESULT extends Group> RESULT createEntity(final Map<String, Object> source, final Class<? extends RESULT> entityType) {
        try {
            final RESULT result = entityType.newInstance();
            result.setName(DfTypeUtil.toString(source.get("name")));
            result.setAttributes(source.entrySet()
                    .stream()
                    .filter(e -> !"name".equals(e.getKey()))