π€Reddit r/MachineLearningβ’Stalecollected in 2h
Preflight: PyTorch Pre-Training Validator Tool
#validation#debugging#ci-integrationpreflightpytorchpreflight-ml
π‘Catch label leakage & NaNs before PyTorch training wastes days
β‘ 30-Second TL;DR
What Changed
Detects label leakage between train and validation sets
Why It Matters
Prevents wasted training runs from silent bugs, saving days of debugging for ML engineers.
What To Do Next
Install via pip and run 'preflight run --dataloader your_dataloader.py' before training.
Who should care:Developers & AI Engineers
Key Points
- β’Detects label leakage between train and validation sets
- β’Checks for NaNs, wrong channel ordering, class imbalance
- β’Estimates VRAM usage and flags dead gradients
- β’Severity tiers: fatal/warn/info with CI-friendly exit code 1
- β’Open-sourced v0.1.1 on GitHub and PyPI
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Original source: Reddit r/MachineLearning β
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