FluxML / FluxML/Torch.jl

Questions about package

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#1 5 comments 0 reactions 0 assignees View on GitHub
Dominant language
Julia
Stars
240
Forks
18
PR merge metrics
No merged PRs in 30d

Description

Hello,

Interesting package. Can you talk a bit about the possible use cases? Is this simply for a more robust but less flexible gpu backend for flux models, or will it allow using layers and operators defined in pytorch?

Also, there's been a bunch of work on GPUArrays recently. Would it make sense to subtype from that?

Contributor guide

No contributing guide indexed for this repository

Research direction

No file, test, or entry point is named in the issue. Start by reviewing the package description and the questions about Flux GPU backends, PyTorch layers and operators, and GPUArrays; the work is not ready until the intended use cases and documentation scope are agreed.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia, pytorch
Domain
machine-learning
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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