import os
import tensorflow as tf
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
init = tf.global_variables_initializer()
n_features = 120
n_labels = 5
weights = tf.Variable(tf.truncated_normal((n_features, n_labels)))
with tf.Session() as sess:
    sess.run(init)

729ed1d91576dc9f26a8cbacc7a71671d03b4ab9
<mask token>

<mask token>
with tf.Session() as sess:
    sess.run(init)

<mask token>
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
init = tf.global_variables_initializer()
n_features = 120
n_labels = 5
weights = tf.Variable(tf.truncated_normal((n_features, n_labels)))
with tf.Session() as sess:
    sess.run(init)

import os
import tensorflow as tf
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
init = tf.global_variables_initializer()
n_features = 120
n_labels = 5
weights = tf.Variable(tf.truncated_normal((n_features, n_labels)))
with tf.Session() as sess:
    sess.run(init)
