lization(gamma_constraint=tf$nn$relu(x) + 1e-6)</code>.
This ensures positivity of the scale variable.</p></td>
    </tr>
    <tr>
      <th>training</th>
      <td><p>If TRUE, updates running-average statistics during call to inverse().</p></td>
    </tr>
    <tr>
      <th>validate_args</th>
      <td><p>Logical, default FALSE. Whether to validate input with asserts. If validate_args is
FALSE, and the inputs are invalid, correct behavior is not guaranteed.</p></td>
    </tr>
    <tr>
      <th>name</th>
 