def ternary_operation(x):
    """Ternary operation use threshold computed with weights."""
    g = tf.get_default_graph()
    with g.gradient_override_map({"Sign": "Identity"}):
        threshold = _compute_threshold(x)
        x = tf.sign(tf.add(tf.sign(tf.add(x, threshold)), tf.sign(tf.add(x, -threshold))))
        return x
def ternary_operation(x):
    """Ternary operation use threshold computed with weights."""
    g = tf.get_default_graph()
    with g.gradient_override_map({"Sign": "Identity"}):
        threshold = _compute_threshold(x)
        x = tf.sign(tf.add(tf.sign(tf.add(x, threshold)), tf.sign(tf.add(x, -threshold))))
        return x
def ternary_operation ( x ) : g = tf . get_default_graph ( ) with g . gradient_override_map ( { "Sign" : "Identity" } ) : threshold = _compute_threshold ( x ) x = tf . sign ( tf . add ( tf . sign ( tf . add ( x , threshold ) ) , tf . sign ( tf . add ( x , - threshold ) ) ) ) return x
Ternary operation use threshold computed with weights.
Ternary operation use threshold computed with weights .