Tensorflow Note - 2 • My Notes

Prerequisites#

You are using Windows 7 or higher version
You are using Anaconda to setup the environment

Install Anaconda#

Anaconda® is a package manager, an environment manager, a Python/R data science distribution, and a collection of over 1,500+ open source packages. Anaconda is free and easy to install, and it offers free community support.

Please download Anaconda from the official site

Create tensorflow virtualenv with python 3.5#

Anaconda uses python 3.6 by default. Tensorflow only supports python 3.5.
cd /path/to/envs conda create -n tensorflow

Install tensorflow#

activate tensorflow
## For CPU
pip install --ignore-installed --upgrade \
    https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.1.0-cp35-cp35m-win_amd64.whl

## Or for GPU
pip install --ignore-installed --upgrade \
    https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.1.0-cp35-cp35m-win_amd64.whl

Use sample code to test Tensorflow#

Save code below to file test.py#

import numpy as np
import tensorflow as tf

## Model parameters
W = tf.Variable([.3], tf.float32)
b = tf.Variable([-.3], tf.float32)
## Model input and output
x = tf.placeholder(tf.float32)
linear_model = W * x + b
y = tf.placeholder(tf.float32)
## loss
loss = tf.reduce_sum(tf.square(linear_model - y)) ## sum of the squares
## optimizer
optimizer = tf.train.GradientDescentOptimizer(0.01)
train = optimizer.minimize(loss)
## training data
x_train = [1,2,3,4]
y_train = [0,-1,-2,-3]
## training loop
init = tf.global_variables_initializer()
sess = tf.Session()
sess.run(init) ## reset values to wrong
for i in range(1000):
sess.run(train, {x:x_train, y:y_train})

## evaluate training accuracy
curr_W, curr_b, curr_loss  = sess.run([W, b, loss], {x:x_train, y:y_train})
print("W: %s b: %s loss: %s"%(curr_W, curr_b, curr_loss))

Test with tensorflow-gpu (GPU enabled)#

activate tensorflow
cd /ws/python/tf
python3 test.py

## You will probably see the result as follow 
## ....
## name: GeForce GTX 850M
## major: 5 minor: 0 memoryClockRate (GHz) 0.9015
## pciBusID 0000:0a:00.0
## Total memory: 3.95GiB
## Free memory: 3.58GiB
## 2017-04-25 10:25:59.640621: I tensorflow/core/common_runtime/gpu/gpu_device.cc:908] DMA: 0 
## 2017-04-25 10:25:59.640626: I tensorflow/core/common_runtime/gpu/gpu_device.cc:918] 0:   Y 
## 2017-04-25 10:25:59.640640: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] 
##    Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 850M, pci ## bus id: 0000:0a:00.0)
## W: [-0.9999969] b: [ 0.99999082] loss: 5.69997e-11