evilsocket/pwnagotchi

find a way to optimize AI loading times

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#166 opened on Oct 5, 2019

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 (6 comments) (0 reactions) (1 assignee)JavaScript (978 forks)batch import
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Description

TensorFlow takes minutes to import on a Raspberry Pi Zero W and that's probably because of the huge .so file with native primitives it has to load, among other things. Given the nature of the project, that stuff is imported only once, so caching it in memory wouldn't speed things up. Switching frameworks is not feasible, unless we have the same exact features (unlikely given that stable-baselines is TF based). For instance, there's no stable-baselines port for TF-lite.

Contributor guide

Research direction
Research TensorFlow import optimization on ARM devices; evaluate TensorFlow Lite or partial loading of native libraries.
Tech stack
pythontensorflow
Domain
machine learningperformance
Issue type
Performance
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonTensorFlowRaspberry Pi
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50