import tensorflow as tf
import numpy as np

data_placeholder_x = tf.placeholder(tf.int32, name = "data_placeholder_x")
data_placeholder_y = tf.placeholder(tf.int32, name = "data_placeholder_y")
const1 = tf.constant([2], name =	"const1")
const2 = tf.constant([13], name =	"const2")
const3 = tf.constant([1], name =	"const3")
fourthpow = tf.constant([4], name =	"fourthpow")
f = tf.multiply(const1,tf.pow(data_placeholder_x, fourthpow)) + tf.multiply(const2,data_placeholder_y) + const3


with tf.Session() as sess:  
    datax = [5]
    datay = [6]  
    print(sess.run(f, feed_dict={data_placeholder_x: datax, data_placeholder_y: datay}))




#output:-
#2020-03-05 04:13:59.763563: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2

#[1329]
6a6ff7e5dc28f3dfe82a0d4e376fa785177d41ea
<mask token>

<mask token>
with tf.Session() as sess:
    datax = [5]
    datay = [6]
    print(sess.run(f, feed_dict={data_placeholder_x: datax,
        data_placeholder_y: datay}))

<mask token>
data_placeholder_x = tf.placeholder(tf.int32, name='data_placeholder_x')
data_placeholder_y = tf.placeholder(tf.int32, name='data_placeholder_y')
const1 = tf.constant([2], name='const1')
const2 = tf.constant([13], name='const2')
const3 = tf.constant([1], name='const3')
fourthpow = tf.constant([4], name='fourthpow')
f = tf.multiply(const1, tf.pow(data_placeholder_x, fourthpow)) + tf.multiply(
    const2, data_placeholder_y) + const3
with tf.Session() as sess:
    datax = [5]
    datay = [6]
    print(sess.run(f, feed_dict={data_placeholder_x: datax,
        data_placeholder_y: datay}))

import tensorflow as tf
import numpy as np
data_placeholder_x = tf.placeholder(tf.int32, name='data_placeholder_x')
data_placeholder_y = tf.placeholder(tf.int32, name='data_placeholder_y')
const1 = tf.constant([2], name='const1')
const2 = tf.constant([13], name='const2')
const3 = tf.constant([1], name='const3')
fourthpow = tf.constant([4], name='fourthpow')
f = tf.multiply(const1, tf.pow(data_placeholder_x, fourthpow)) + tf.multiply(
    const2, data_placeholder_y) + const3
with tf.Session() as sess:
    datax = [5]
    datay = [6]
    print(sess.run(f, feed_dict={data_placeholder_x: datax,
        data_placeholder_y: datay}))

import tensorflow as tf
import numpy as np

data_placeholder_x = tf.placeholder(tf.int32, name = "data_placeholder_x")
data_placeholder_y = tf.placeholder(tf.int32, name = "data_placeholder_y")
const1 = tf.constant([2], name =	"const1")
const2 = tf.constant([13], name =	"const2")
const3 = tf.constant([1], name =	"const3")
fourthpow = tf.constant([4], name =	"fourthpow")
f = tf.multiply(const1,tf.pow(data_placeholder_x, fourthpow)) + tf.multiply(const2,data_placeholder_y) + const3


with tf.Session() as sess:  
    datax = [5]
    datay = [6]  
    print(sess.run(f, feed_dict={data_placeholder_x: datax, data_placeholder_y: datay}))




#output:-
#2020-03-05 04:13:59.763563: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2

#[1329]