#! /usr/bin/env python
# -*- coding: utf-8 -*-

'''doc'''

from __future__ import print_function

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

import tensorflow as tf

w1 = tf.Variable(tf.random_normal([2, 3], stddev=1, seed=1))

w2 = tf.Variable(tf.random_normal([3, 1], stddev=1, seed=1))

x = tf.constant([[0.7, 0.9]])

a = tf.matmul(x, w1)
y = tf.matmul(a, w2)

sess = tf.Session()
sess.run(w1.initializer)
sess.run(w2.initializer)
print(sess.run(y))
sess.close()
80337f9b3c08d2f25f9b97dcf148b84f2390dc16
<mask token>

<mask token>
sess.run(w1.initializer)
sess.run(w2.initializer)
print(sess.run(y))
sess.close()

<mask token>
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
<mask token>
w1 = tf.Variable(tf.random_normal([2, 3], stddev=1, seed=1))
w2 = tf.Variable(tf.random_normal([3, 1], stddev=1, seed=1))
x = tf.constant([[0.7, 0.9]])
a = tf.matmul(x, w1)
y = tf.matmul(a, w2)
sess = tf.Session()
sess.run(w1.initializer)
sess.run(w2.initializer)
print(sess.run(y))
sess.close()

<mask token>
from __future__ import print_function
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf
w1 = tf.Variable(tf.random_normal([2, 3], stddev=1, seed=1))
w2 = tf.Variable(tf.random_normal([3, 1], stddev=1, seed=1))
x = tf.constant([[0.7, 0.9]])
a = tf.matmul(x, w1)
y = tf.matmul(a, w2)
sess = tf.Session()
sess.run(w1.initializer)
sess.run(w2.initializer)
print(sess.run(y))
sess.close()

#! /usr/bin/env python
# -*- coding: utf-8 -*-

'''doc'''

from __future__ import print_function

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

import tensorflow as tf

w1 = tf.Variable(tf.random_normal([2, 3], stddev=1, seed=1))

w2 = tf.Variable(tf.random_normal([3, 1], stddev=1, seed=1))

x = tf.constant([[0.7, 0.9]])

a = tf.matmul(x, w1)
y = tf.matmul(a, w2)

sess = tf.Session()
sess.run(w1.initializer)
sess.run(w2.initializer)
print(sess.run(y))
sess.close()