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ktangsali
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Mar 14, 2023
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wdyab
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Mar 17, 2026
* CI YAML updating
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* CI YAML updating
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fgiral000
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May 25, 2026
A tokenizer module that reduces a raw point set to a bounded token budget before attention. Seven strategies: identity, random, FPS, random/FPS/voxel-FPS cluster pooling, and prototype-anchored clustering. The cluster strategies return the kNN indices that link each token center back to the source points, allowing a downstream encoder to replace the default feature mean with a learned pooling (e.g. the message-passing PointClusterGraphPool that lands with the encoders in PR NVIDIA#3). Behavior preserved including the non-persistent prototype_coords buffer and the per-sample loop used by the prototype strategy. Signed-off-by: fgiral000 <fa.giral@alumnos.upm.es>
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