import tensorflow as tf

            if bias != -1:
                bias = tf.get_variable('biases', [num_filters], initializer=tf.constant_initializer(bias))

                variable_summaries(bias)
                conv = tf.nn.bias_add(conv, bias)

            tf.add_to_collection('debug_layers', conv)

            return conv

    @staticmethod
    def _relu(name, x):
