import tensorflow as tf

                           for i, k in zip(inputs, kernels)]
                conv = tf.concat(outputs, channel_axis)

            ret = tf.identity(tf.nn.bias_add(conv, b, data_format=data_format)
                              if use_bias else conv, name=name)

