def _compute_threshold(x):
    """
    ref: https://github.com/XJTUWYD/TWN
    Computing the threshold.
    """
    x_sum = tf.reduce_sum(tf.abs(x), reduction_indices=None, keepdims=False, name=None)
    threshold = tf.div(x_sum, tf.cast(tf.size(x), tf.float32), name=None)
    threshold = tf.multiply(0.7, threshold, name=None)
    return threshold
def _compute_threshold(x):
    """
    ref: https://github.com/XJTUWYD/TWN
    Computing the threshold.
    """
    x_sum = tf.reduce_sum(tf.abs(x), reduction_indices=None, keepdims=False, name=None)
    threshold = tf.div(x_sum, tf.cast(tf.size(x), tf.float32), name=None)
    threshold = tf.multiply(0.7, threshold, name=None)
    return threshold
def _compute_threshold ( x ) : x_sum = tf . reduce_sum ( tf . abs ( x ) , reduction_indices = None , keepdims = False , name = None ) threshold = tf . div ( x_sum , tf . cast ( tf . size ( x ) , tf . float32 ) , name = None ) threshold = tf . multiply ( 0.7 , threshold , name = None ) return threshold
ref: https://github.com/XJTUWYD/TWN
    Computing the threshold.
ref : https : // github . com / XJTUWYD / TWN Computing the threshold .