whn09 42e05844d1 Neuron: nkilib rotational_topk for the sampler; single-host shared engram tables (#27) ... - deep_select.topk on a NeuronCore with k >= 1024 (the sampler's force_topk 4096 over the 129280 vocab) uses nkilib's rotational_topk: torch.topk with that k does not compile on the device (NCC_IXCG857). 8.4 ms on one core, values identical to torch.topk. - EngramBuffer on Neuron: the ranks of a trn2 instance share one host, so the table shards are written into /dev/shm-backed tables (unlinked once mapped) and every rank gathers its own rows: no all-to-all and no host sync on split sizes per fetch. DEEPINFER_NEURON_ENGRAM_SHARED=0 restores the sharded path. Host EP=2 tiny: logits bitwise equal to the sharded path. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>		2026-10-23 07:23:32 +08:00
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__init__.py	Add AWS Trainium (Neuron) platform, basic mode — part 1	2026-10-20 18:34:51 +08:00
interface.py	Neuron: nkilib rotational_topk for the sampler; single-host shared engram tables (#27)	2026-10-23 07:23:32 +08:00