OSX Pickup dependencies: brew tap caskroom/cask brew cask install anaconda brew install zeromq openssl luarocks install luacrypto OPENSSL_DIR=/usr/local/opt/openssl/ Add to your shell if you use zsh: echo "export PATH=\"$HOME/anaconda3/bin:$PATH\"" >> ~/.zshrc source ~/.zshrc Or if you use bash: echo "export PATH=\"$HOME/anaconda3/bin:$PATH\"" >> ~/.bashrc source ~/.bashrc Now we can install Jupyter and iTorch conda install jupyter git clone https://github.com/facebook/iTorch.git cd iTorch && luarocks make && popd Hello World Lets grab this great example:
Disable Integrity Protection OSX El Capitan needs the disable integrity protection to run the modified Nvidia Drivers Shutdown your Mac. Press the power button and immediately hold down Command + R until you see the apple logo Now your Mac will be in Recovery Mode. Open up Utilities -> Terminal Run the following command: csrutil disable You should see text confirming that integrity protection is now disabled. Now restart your Mac.
Equipment MacBookPro or MacBookAir with Thunderbolt 2 port(s) Akitio Thunder2 PCIe Box GeForce GPU capable of CUDA, Maxwell generation or newer http://www.geforce.com/hardware/technology/cuda/supported-gpus Bplus SWEX : ATX Power Supply Power ON switch ATX PC Power Supply (>400W) StarTech BEZELWRKIT ATX Case Front Bezel Wire Kit 4 Pcs Green Black Latching On/Off SPST Round Rocker Switch The Box Basically throw away the Akitio chassis but keep the power cord from the transformer to the chassis (the DC power part).
Surprisingly, there are a few steps to get started on AWS CodeCommit…from a fresh OSX laptop. After bouncing around the AWS documentation…here are the steps. Install brew /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" install python and pip and aws cli brew install python git sudo easy_install pip sudo pip install awscli Configure your keys — use region: us-east-1, format: json aws configure 4. Setup git to use the credential helper
Wanted to show more of the magic that’s going on behind the scenes in Cassandra in a Container on OSX. The domain specific shell here is doing a bit of remembering for you: 1. It is remembering the location of containers in your project directory 2. Finding DockerFiles recursively within that directory and makes them avail. with choose 3. When the container is “run”, av remembers the container-id that was started
Getting Your Laptop Setup Let’s get Cassandra running, using containers to keep the runtime environment similar to what it would be in production. We are focusing on OSX only and will use a few tools that are freely available to make it all work. Install Brew Install CaskRoom brew tap caskroom/cask Install Docker Toolbox but with brew/caskroom brew cask install dockertoolbox Install cqlsh so you can mess with Cassandra brew install python && pip install cql 5.
I’ve been grappling with this project for years now and figured I would share the progress so far. We will leverage this work as we tackle Deep Learning over the course of 2016. Ever have a project with stuff everywhere? Some java stuff, a go application that was hacked up on a half-day, some mysql shortcut commands in the readme, a superfast CUDA library with test apps, etc… all in one git repo?