A Swift deep learning library with Accelerate and Metal support.

Related tags

Machine Learning macos swift ios machine-learning deep-neural-networks deep-learning
Overview

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travisCI-building coverage iOS macOS License: MIT Swift 3.2 gitter

Serrano

Aiming to offering popular and cutting edge techs in deep learning area on iOS devices, Serrano is developed as a tool for developers & researchers with deep learning background to quickly implement their ideas on iOS devices. Meanwhile, it supports macOS as a pure swift framework bonus.

Features

  • Implemented an efficient NDArray class Tensor which supports:
  • Offer common operators (operator list) for constructing various computation graphs and it is easy to implement custom operators
  • Graph API support forward and backward with auto differentiation
  • No third-party library dependent. Compatible with iOS 10 and macOS.

Install

Via CocoaPods

Install the latest version:

pod 'Serrano', :git => 'https://github.com/pcpLiu/Serrano.git'

Manually integrate into your workspace/project

Download or clone Serrano and drag serrano.xcodeproj into your workspace or project. Add Serrano into the Target Dependencies of your target.

Docs

The guides and APIs are hosted at http://serrano-lib.org.

Quick example

Check Serrano/Examples/Graph/VGG16.swift seeing how to use Graph API to construct a forward VGG16.

TinyYOLO Demo Project

Check Serrano-TinyYOLO, an iOS App do object detection on taken photo.

Questions && Issues

‼️ Please only open [bug]/[feature request] related issues in THIS repo and follow this issue guide. ‼️

For any general issue/discussion || framework support, please go to pcpLiu/SerranoExplore opening an issue. Also you can discuss on Gitter

macOSX

Serrano was developed as an iOS framework. However, the framework could be added and used in Cocoa applications (macOS App) without effort.

Contribution

Contribution are wanted 📢 . And please read the Contributing Guide before making a PR.

License

Serrano is liscensed under MIT. Copyright (c) 2017, Zhonghao (Tim) Liu.

Acknowledgement

Serrano are inspired and influenced by these open source projects:

Comments
Releases(0.1.6-alpha)

  • 0.1.6-alpha(Dec 12, 2017)

  • 0.1.5-alpha(Dec 1, 2017)

  • 0.1.4-alpha(Nov 25, 2017)

  • 0.1.3-alpha(Nov 23, 2017)

    Improvements:

    • Improve the Conv2D performance [a95329, 2c113e, c412fa]
    • Fix MPS error in matrix multiply operator [57979d]
    • Improve Graph API by introducing ForwardGraph [dcfe1f]

    Note This release passed all testing on a local MAC machine. Travis-CI could not pass cause it runs out of time.

    Source code(tar.gz)
    Source code(zip)

  • 0.1.2-alpha(Nov 5, 2017)

    This releasee majorly added more guides. Also, modified few APIs involving with slice tensor making.

    Changelogs

    • Added guides
    • Changed APIs in Tensor making slice tensor. [5c7b41f]
    • Fixed force downcastign in servera places. [e6f7ac1]
    • Added API in SerranoEngine allowing loading user's Metal library. This is for custom operator. [5c28e3a]
    Source code(tar.gz)
    Source code(zip)

  • 0.1.1-alpha(Nov 3, 2017)

    This is an alpha development release.

    Release note:

    Core APIs ready:

    • Graph [backward, forward]
    • Tensor
    • Operator
    • Symbol

    Operators Ready (Grad compute not ready of some operators):

    • Unary operators
    • Binary operators
    • Reduce operators
    • Activation operators
    • Matrix multiplication operator
    • 2D convolutional operator
    • 2D Pooling operators

    Next phase goal:

    • Graph memory allocation optimization
    • Operator grad compute
    • Add operators:
      • Depth-wise convolutional operator
      • Batch normalization operator
    • Add optimizer:
      • Adam
    • Serrano-tool:
      • Convert Keras model
    Source code(tar.gz)
    Source code(zip)
Owner
pcpLiu
星分翼轸
pcpLiu
GitHub http://serrano-lib.org/
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