tensorlayer/layers/utils.py
def compute_alpha(x):
    """Computing the scale parameter."""
    threshold = _compute_threshold(x)
    alpha1_temp1 = tf.where(tf.greater(x, threshold), x, tf.zeros_like(x, tf.float32))
    alpha1_temp2 = tf.where(tf.less(x, -threshold), x, tf.zeros_like(x, tf.float32))
    alpha_array = tf.add(alpha1_temp1, alpha1_temp2, name=None)
    alpha_array_abs = tf.abs(alpha_array)
    alpha_array_abs1 = tf.where(
        tf.greater(alpha_array_abs, 0), tf.ones_like(alpha_array_abs, tf.float32),
        tf.zeros_like(alpha_array_abs, tf.float32)
    )
    alpha_sum = tf.reduce_sum(alpha_array_abs)
    n = tf.reduce_sum(alpha_array_abs1)
    alpha = tf.div(alpha_sum, n)
    return alpha
def compute_alpha(x):
    """Computing the scale parameter."""
    threshold = _compute_threshold(x)
    alpha1_temp1 = tf.where(tf.greater(x, threshold), x, tf.zeros_like(x, tf.float32))
    alpha1_temp2 = tf.where(tf.less(x, -threshold), x, tf.zeros_like(x, tf.float32))
    alpha_array = tf.add(alpha1_temp1, alpha1_temp2, name=None)
    alpha_array_abs = tf.abs(alpha_array)
    alpha_array_abs1 = tf.where(
        tf.greater(alpha_array_abs, 0), tf.ones_like(alpha_array_abs, tf.float32),
        tf.zeros_like(alpha_array_abs, tf.float32)
    )
    alpha_sum = tf.reduce_sum(alpha_array_abs)
    n = tf.reduce_sum(alpha_array_abs1)
    alpha = tf.div(alpha_sum, n)
    return alpha
def compute_alpha ( x ) : threshold = _compute_threshold ( x ) alpha1_temp1 = tf . where ( tf . greater ( x , threshold ) , x , tf . zeros_like ( x , tf . float32 ) ) alpha1_temp2 = tf . where ( tf . less ( x , - threshold ) , x , tf . zeros_like ( x , tf . float32 ) ) alpha_array = tf . add ( alpha1_temp1 , alpha1_temp2 , name = None ) alpha_array_abs = tf . abs ( alpha_array ) alpha_array_abs1 = tf . where ( tf . greater ( alpha_array_abs , 0 ) , tf . ones_like ( alpha_array_abs , tf . float32 ) , tf . zeros_like ( alpha_array_abs , tf . float32 ) ) alpha_sum = tf . reduce_sum ( alpha_array_abs ) n = tf . reduce_sum ( alpha_array_abs1 ) alpha = tf . div ( alpha_sum , n ) return alpha
Computing the scale parameter.
Computing the scale parameter .