FluxML/Flux.jl

Allow BatchNorm training on CUDA with `track_stats=false`

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#1,606 opened on May 31, 2021

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 (4 comments) (0 reactions) (0 assignees)Julia (619 forks)batch import
good first issuehelp wanted

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Description

Gathered from https://discourse.julialang.org/t/batchnorm-only-track-stats-true-supported-on-gpu/62091.

This would most likely require changes in NNlibCUDA as well. I'm not sure how interchangeable the various cudnnBatchNormalizationForward* functions are, so putting a pin in this until someone more knowledgeable can comment.

Contributor guide

Research direction
Examine the Batchnorm implementation in Flux.jl and NNlibCUDA.jl. Understand the cudnnBatchNormalizationForward functions and modify them to support track stats=false. Test the changes on a CUDA enabled GPU.
Tech stack
None
Domain
backendmachine learning
Issue type
Feature
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.
3-5 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.
Mostly clear
Prerequisites
JuliaCUDAGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30