def create_linear_initializer(input_size):
 stddev = (1 / math.sqrt(input_size))
 return tf.truncated_normal_initializer(stddev=stddev)

def create_linear_initializer ( input_size ) : stddev = ( 1 / math . sqrt ( input_size ) ) return tf . truncated_normal_initializer ( stddev = stddev )
returns a default initializer for weights or bias of a linear module .