https://github.com/clementfarabet/torch-ios

Torch7 for iOS.
https://github.com/clementfarabet/torch-ios

Last synced: 3 months ago
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Torch7 for iOS.

• Host: GitHub
• URL: https://github.com/clementfarabet/torch-ios
• Owner: clementfarabet
• License: other
• Created: 2012-04-21T05:42:06.000Z (about 12 years ago)
• Default Branch: ios
• Last Pushed: 2016-01-11T21:57:03.000Z (over 8 years ago)
• Last Synced: 2024-01-18T10:57:28.028Z (5 months ago)
• Language: C
• Size: 4.97 MB
• Stars: 196
• Watchers: 36
• Forks: 42
• Open Issues: 18
• Metadata Files:
  • Readme: README.md

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• alex-mikhalev-awesome-stars - torch-ios - Torch7 for iOS. (C)

README

        
Torch7 Library for iOS

======================

Torch7 provides a Matlab-like environment for state-of-the-art machine

learning algorithms. It is easy to use and provides a very efficient

implementation, thanks to an easy and fast scripting language (Lua) and a

underlying C implementation.

This package has been modified (or just hacked) to fully compile

Torch7 for iOS (iPad/iPhone) for all architectures (armv7, armv7a, arm64, i386 (simulator), x86_64 (simulator))

Requirements

============

Torch7 needs to be installed prior to building the iOS

version. 'torch' needs to be available in the user's path.

I recommend doing the easy install if you have not installed Torch7.

http://torch.ch/docs/getting-started.html

Building The Framework

============

Simply run:

$ ./generate_ios_framework

This will build all torch's libraries as static libs, and export them

in a single dir: framework/. The dir is ready to be included in

an iOS project: it includes an example class to load Torch from within

your Objective C project.

For examples full examples that utilize this class (Torch.m) please see 

the ios_examples/ folder. More examples to come soon.

Running

=======

When creating your Objective-C project simply import the class

Torch.m/.h; include all the libs to the linker; add Torch.framework & Accelrate.framework

and add all the Lua files as resources. define YOUR_FILE.lua and add it as 

a resource. Run YOUR_FILE.lua using the method defined in Torch.h/.m