import tensorflow as tf

        out = out + beta
        return out

def max_pool(img, k):
    return tf.nn.max_pool(img, ksize=[1, k, k, 1], strides=[1, k, k, 1], padding='SAME')


# Consider stride size when using xavier for fp network
