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Intron7
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Oct 4, 2026
Intron7
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- graphs whose device COO would not fit are cut to their upper triangle on the host (if canonical and symmetric) and embedded with twice the epochs: same quality, half the memory
- n_epochs defaults to 200 for more than 10,000 cells, like scanpy and umap-learn
…0 epochs above 10k cells - graphs whose device COO would not fit are cut to their upper triangle on the host (if canonical and symmetric) and embedded with twice the epochs: same quality, half the memory - n_epochs defaults to 200 for more than 10,000 cells, like scanpy and umap-learn Signed-off-by: Intron7 <sdicks@nvidia.com>
Signed-off-by: Intron7 <sdicks@nvidia.com>
cuML repels only the head of each edge, so with one triangle the repulsion a cell gets depends on its position (41 of 700 PBMC cells got none). Keep the 200-epoch default. Signed-off-by: Intron7 <sdicks@nvidia.com>
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