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import tensorflow as tf

with tf.name_scope("5_minus_6_plus_7_squared"):
    a = tf.constant(5)
    b = tf.constant(6)
    c = tf.constant(7)
    d = tf.square(a, name="a_2")
    e = tf.square(b, name="b_2")
    f = tf.square(c, name="c_2")
    g = tf.multiply(a,b, name="ab")
    h = tf.multiply(g,2, name="2ab")
    i = tf.multiply(b,c, name="bc")
    j = tf.multiply(i,2, name="2bc")
    k = tf.multiply(c,a, name="ca")
    l = tf.multiply(k,2, name="2ca")
   
    m = tf.add(d,e, name="a_2_plus_b_2")
    n = tf.add(m,f, name="a_2_plus_b_2_plus_c_2")
    o = tf.subtract(n,h, name="a_2_plus_b_2_plus_c_2_minus_2ab")
    p = tf.subtract(o,j, name="a_2_plus_b_2_plus_c_2_minus_2ab_minus_2bc")
    q = tf.add(p,l, name="a_2_plus_b_2_plus_c_2_minus_2ab_minus_2bc_plus_2ca")

with tf.Session() as sess:
    writer = tf.summary.FileWriter("/tmp/tboard/output101", sess.graph)
    print(sess.run(q))
    writer.close()


    

    




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