def relu(x, alpha=0., max_value=None):
    negative_part = tf.nn.relu(-x)
    x = tf.nn.relu(x)
    if max_value is not None:
        x = tf.clip_by_value(x, tf.cast(0., dtype=_FLOATX),
                             tf.cast(max_value, dtype=_FLOATX))
    if isinstance(alpha, (tuple, list, np.ndarray)) or np.isscalar(alpha):
        alpha = tf.constant(alpha, dtype=_FLOATX)
    x -= alpha * negative_part
    return x
Maintain the instance list.
dataset/ETHPy150Open fchollet/keras/keras/backend/tensorflow_backend.py/relu--crossover with--dataset/ETHPy150Open ganeti/ganeti/lib/watcher/nodemaint.py/NodeMaintenance.DoMaintenance