tensorflow/swift

Installation verification tool

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#479 opened on Jun 10, 2020

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good first issuehelp wanted

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Description

When installing the S4TF toolchain, it's not always clear whether all components are intact and versions are compatible. It would be helpful to have a quick verification tool that uses the toolchain and reports success.

This is especially useful for installations involving accelerators, so the first two features could be:

  • Can invoke the toolchain and import TensorFlow
  • Can run on an attached accelerator (Device.defaultXLA is Device(kind: .GPU, ordinal: 0, backend: .XLA))

This could be a very basic Swift tool that automates the steps we've been taking manually.

Contributor guide

Research direction
Review the existing S4TF installation instructions and toolchain scripts in the tensorflow/swift repository. The verification tool can be a simple Swift script that imports TensorFlow and checks Device.defaultXLA for GPU availability. Look at how other verification tools in the ecosystem are structured, and consider using Swift Package Manager for ease of distribution. No linked PRs or related issues were found; the issue is open with no current activity.
Tech stack
swift
Domain
clitooling
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Swift programmingS4TF toolchain installed
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75