def norm(name, l_input, lsize=4):
    return tf.nn.lrn(l_input, lsize, bias=1.0, alpha=0.001 / 9.0, beta=0.75, name=name)
dataset/ETHPy150Open hpssjellis/easy-tensorflow-on-cloud9/aymericdamien-Examples/examples/alexnet.py/norm/original