I want to vent a bit about the current landscape of Deep Learning frameworks / libraries / middlewares. Why do all of them have different file formats? Its like having web browsers that expect different types of responses from web servers. Hua? Neural Networks are pretty simple. Its a graph with weights. Basically an ordered set of linear algerbra operations. Now, with dropout and resampling we see amazing non-linear results but the core of what the network is / does isn’t that complicated.

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What is a NVIDIA Jetson TX1 Development Kit? In short is a quad-core ARM and a 256-core Maxwell GPU packed into a single chip with pretty much all the accessories you need in a breakout board. Here is an unboxing video. I have had the NVIDIA Jetson TK1 Development Kit for a while now and the TX1 it is quite a bit more powerful, though 3x the cost. Getting Torch Setup First step is to get the TX1 flashed with the latest Linux 4 Tegra (L4T) along with the full CUDA toolchain.

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iTorch!

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:

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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.

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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).

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Starting with John Kaufhold‘s DeepLearning presentation (pdf) to the DataCommunity DC back in 2014. Marvin Galvin did a blog post covering the highlights. Here is the video: With that history lesson, I want to zoom down a level of detail and understand all these papers. Here are the papers in a handy script to download them. View the code on Gist.

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OttoII

yet another blog for nerds

Software Engineer

USA