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Second, the key to keeping the stage values close to their on-disk forms is to define types that represent precisely what information we need at each step. Parse, don't validate An EventValue sum type directly wraps the innermost bytes on disk. A StageValue adjoins that to a sibling value (we can't just use the common ancestor because it's like a tuple (a, b, c) where we need to retain a and c but move b into a different context). And we move those into a StageReservoir, a special-purpose sampling structure.
Tensorboard is a "dashboard" for machine learning experiments from Google. It's notorious for being slow and leaking memory like crazy. One of the devs made a "just for fun" RustBoard and apparently it worked so well it's now integrated into TensorBoard as an experimental feature.
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