* Sets the roles of the suggest item.
     * @param roles The roles to set.
     */
    public void setRoles(final String[] roles) {
        this.roles = roles;
    }

    /**
     * Sets the languages of the suggest item.
     * @param languages The languages to set.
     */
    public void setLanguages(final String[] languages) {
        this.languages = languages;
    }

    /**

    /**
     * Sets the fourth value.
     *
     * @param value4
     *            The fourth value
     */
    public void setValue4(final T4 value4) {
        this.value4 = value4;
    }

    /**
     * Returns the fifth value.
     *
     * @return The fifth value
     */
    public T5 getValue5() {
        return value5;
    }

    /**
     * Sets the fifth value.
     *

    }

    /**
     * Sets the DataService instance for the current thread.
     * If the provided DataService is null, it removes the DataService from the current thread's local storage.
     * Otherwise, it sets the provided DataService to the current thread's local storage.
     *
     * @param dataService the DataService instance to be set for the current thread, or null to remove it
     */

     */
    public void setMetaCharsetPattern(final Pattern metaCharsetPattern) {
        this.metaCharsetPattern = metaCharsetPattern;
    }

    /**
     * Gets the pattern used for matching HTML tags.
     *
     * @return the HTML tag pattern
     */
    public Pattern getHtmlTagPattern() {
        return htmlTagPattern;
    }

    /**
     * Sets the pattern used for matching HTML tags.

            return false;
        }
        return true;
    }

    /**
     * Returns a set of matched label values.
     *
     * @param path The path to match.
     * @return A set of matched label values.
     */
    public Set<String> getMatchedLabelValueSet(final String path) {
        if (labelTypePatternList == null) {
            synchronized (this) {

    // assert doubleToRawLongBits(0.0) == 0L;
  }

  /**
   * Gets the current value.
   *
   * @return the current value
   */
  public final double get() {
    return longBitsToDouble(value);
  }

  /**
   * Sets to the given value.
   *
   * @param newValue the new value
   */
  public final void set(double newValue) {
    long next = doubleToRawLongBits(newValue);
    value = next;

  public void testSameComparator() {
    assertTrue(SortedIterables.hasSameComparator(Ordering.natural(), Sets.newTreeSet()));
    assertTrue(SortedIterables.hasSameComparator(Ordering.natural(), Maps.newTreeMap().keySet()));
    assertTrue(
        SortedIterables.hasSameComparator(
            Ordering.natural().reverse(), Sets.newTreeSet(Ordering.natural().reverse())));
  }

  public void testComparator() {

         */
        void onDestroy(PooledObject<T> p);
    }

    /**
     * Gets the component name.
     * @return The component name
     */
    public String getComponentName() {
        return componentName;
    }

    /**
     * Sets the component name.
     * @param componentName The component name to set
     */
    public void setComponentName(final String componentName) {

     */
    public boolean isSuccess() {
        return returnCode == 0;
    }

    /**
     * Gets a human-readable error description.
     *
     * @return the error description
     */
    public String getError() {
        return error != null ? error : "Error code: " + returnCode;
    }

    /**
     * Sets the error message.
     *
     * @param error the error message
     */

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.