Description

Note: The assignment will be autograded. It is important that you do not use additional libraries, or change the provided functions input and output.
Part 1: Setup
• Remote connect to a EWS machine.
ssh (netid)@remlnx.ews.illinois.edu
• Load python module, this will also load pip and virtualenv
module load python/3.4.3
virtualenv –system-site-packages ~/cs446sp_2018
• Activate the virtualenv
source ~/cs446sp_2018/bin/activate
• Update pip
pip install –upgrade pip
• Checkout and change directory to the course svn repository
svn co https://subversion.ews.illinois.edu/svn/sp18-cs446/(netid) cd (netid)
• Copy mp1 into your svn directory, and change directory to mp1.
svn cp https://subversion.ews.illinois.edu/svn/sp18-cs446/_shared/mp1 . cd mp1
• Install the requirements through pip.
pip install -r requirements.txt
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Part 2: Exercise
The purpose of this exercise is to introduce you to basic components of Tensorflow, a Python machine learning framework which will be used for the assignments this semester. Specifically, you will need to implement code that creates a few basic computation graphs and then executes them. Before beginning, read through Tensorflow’s “Getting Started” tutorial
The following methods must be implemented (more specific details can be found in the corresponding source files):
• In run computation.py , the method run computation, which takes a computation graph node as input, initializes all variables, runs the node, and returns the result.
• In toy functions.py , the methods toy fn 1, toy fn 2, and toy fn 3, which all build computation graphs for different functions.
Part 3: Writing Tests
In test.py we have provided basic test-cases. Feel free to write more. To test the code, run the following (which runs test.py ):
nose2
Part 4: Submit
Submitting the code is equivalent to committing the code. This can be done with the follow command:
svn commit -m “Some meaningful comment here.”
Lastly, double check on your browser that you can see your code at
https://subversion.ews.illinois.edu/svn/sp18-cs446/(netid)/mp1/