whn09 f67fab6bdd Neuron MoE: two-level all-reduce (device, then across devices) (#27) ... Microbenchmark at 64 ranks, [1, 5120] fp32 in a compiled graph: world all-reduce 3.37 ms, 8 consecutive ranks 0.41 ms, 4-core device group then a 16-device group (one core each) 2.01 ms; a strided 8-device group is rejected by the runtime. The replicated-token MoE all-reduce (one a layer) now takes the two-level form (DEEPINFER_NEURON_HIER_ALLREDUCE=0 restores one world all-reduce). Host tiny cp=8 matches golden. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>		2026-10-24 11:05:25 +08:00
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eplb	initial commit	2026-10-20 12:09:42 +08:00
input_metadata	initial commit	2026-10-20 12:09:42 +08:00
layers	Neuron sampler: skip the top-p/top-k bisection when no row filters (#27)	2026-10-23 12:05:16 +08:00
models	Neuron MoE: two-level all-reduce (device, then across devices) (#27)	2026-10-24 11:05:25 +08:00
parallel_utils	initial commit	2026-10-20 12:09:42 +08:00
__init__.py	initial commit	2026-10-20 12:09:42 +08:00
layer_utils.py	initial commit	2026-10-20 12:09:42 +08:00
model_loader.py	Neuron: CP group as a replicated-decode group; MoE all-reduce mode (#28)	2026-10-23 22:46:04 +08:00
model_metadata_utils.py	Neuron: prompt chunks through the decode region graphs (issue #26)	2026-10-23 03:19:56 +08:00
model_output.py	initial commit	2026-10-20 12:09:42 +08:00
sampling_inputs.py	initial commit	2026-10-20 12:09:42 +08:00
utils.py	Neuron: static decode graphs, static-shape MoE, trn2 e4m3 fp8 (issues #9, #12, #24)	2026-10-22 11:59:37 +08:00