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Moved to docs/ in nclack/damacy-slides-2026-06; keeping these out of this repo. |
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Adds a draft data-reformatting plan under
dev/(design/plan docs, outside themkdocs site), the actionable follow-on to the optimization report (docs/optimization.md).
For the ~9 decode-bound training datasets, it gives a target chunk/shard shape per
archetype (static 2D / video / 3D z-range) and the predicted decode waste after
re-chunking, with before→after computed from the real array+patch shapes:
z-range crop they're ~5-10x, and a small z-extent chunk takes them to ~2-5x
Principle: chunks small (64 KiB-1 MiB, smaller than the crop), with extent > 1 only
in dimensions that compress well together (x/y always, z in 3D, time sometimes,
channels split). Includes sharding guidance and verify-before-committing caveats.
Draft — predictions are from geometry; confirm one reformatted dataset with a real
bench run before doing the corpus.