FluxML / FluxML/NNlib.jl

Do we need src/cudnn/activations.jl?

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CUDA
Dominant language
Julia
Stars
258
Forks
138
Avg merge
2d 1h
Merged PRs (30d)
3

Description

I noticed there was a thread on Discourse recently where this came up as the culprit: https://github.com/FluxML/NNlibCUDA.jl/blob/master/src/cudnn/activations.jl. Are these overloads still useful now (for performance) or can they be nixed?

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Research direction

Start with src/cudnn/activations.jl in NNlibCUDA.jl and review the linked Discourse thread for the reported concern. Check whether these overloads are still used and whether they provide a performance benefit. Done means documenting a supported conclusion about retaining or removing them.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
machine-learning
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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