phmagic

import CloudKit
import Foundation
import Locksmith

/**
 API Key used by this app is fetched from CloudKit. This class manages fetching and saving it into Keychain
 */
class ApiKey {
    private static let RECORD_NAME = <# RECORD_NAME_IN_CLOUDKIT #>
    private static let KEY = <# KEY_NAME_IN_CLOUDKIT #>

phmagic

Current as of Sept 6, 2017

I have a MacBook Pro Retina 2013 and I had a hard time setting up TensorFlow with GPU support from all the conflicting information out there. I hope this gets you up and running training models on your local computer!

1. Download the CUDA Toolkit 8.0 for macOS here. Install it using the DMG package.
2. Edit your ~/.bash_profile file and add the following line: export DYLD_LIBRARY_PATH="/Developer/NVIDIA/CUDA-8.0/lib:$DYLD_LIBRARY_PATH"
3. Download the CUDA DNN v5.1 from here. This requires you to sign up as an NVIDIA Developer.
4. Unzip the CUDA DNN package and copy the files inside the include folder to Developer/NVIDIA/CUDA-8.0/include and copy the files inside the lib folder into Developer/NVIDIA/CUDA-8.0/lib
5. Inside your terminal, do source ~/.bash_profile

phmagic

# Defaults / Configuration options for homebridge
# The following settings tells homebridge where to find the config.json file and where to persist the data (i.e. pairing and others)
HOMEBRIDGE_OPTS=-U /var/lib/homebridge

# If you uncomment the following line, homebridge will log more 
# You can display this via systemd's journalctl: journalctl -f -u homebridge
# DEBUG=*