import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

a = tf.ones([2, 5])

a

<tf.Tensor 'ones:0' shape=(2, 5) dtype=float32>

with tf.Session …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

# Initialize global variables

init_op = tf.global_variables_initializer()
session = tf.Session()
session.run(init_op)

a = tf.placeholder(tf.float32 …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

a = tf.Variable([[1, 2, 3]])

init = (tf.global_variables_initializer(), tf.local_variables_initializer())

sess = tf.Session()

sess.run …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

sess = tf.InteractiveSession()

sess

<tensorflow.python.client.session.InteractiveSession at 0x12b796668>

a = tf.constant([12.0 …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

normal_rv = tf.Variable(tf.truncated_normal([2, 3], stddev=0.1))

# Initialize the variables
init_op = tf.initialize_all_variables()

with …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

tf.InteractiveSession()

a = tf.zeros((2, 2))
b = tf.ones((2, 2))

abc = tf.reduce_sum(b, reduction_indices=1 …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

a = tf.constant([1, 2, 3, 4, 5, 6, 7, 9])

b = tf.reshape(a, [2, 4 …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

a = tf.constant(1.2)

b = tf.constant(2.8)

c = a + b

c

<tf.Tensor 'add …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

a = tf.Variable(2)

b = a * 4

b

<tf.Tensor 'mul:0' shape=() dtype=int32 …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

# a = (b + c) * (c + 2)

const = tf.constant(2.0, name='const')

# create variables
b = tf.Variable(2 …