Fixed the xp.all(axis=1) bottleneck - #347
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This was referenced Aug 17, 2026
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August 17, 2026 08:48
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Reducing over a size-3 trailing axis across millions of rows is slow with both numpy and cupy. The
np.all(axis=1)can't vectorize a 3-wide reduction, while the 3 column slices is a large and easily vectorizable operation.