whn09 50483a06df Neuron: context-length buckets for dense compressed-KV scopes and indexer logits (#29) ... DEEPINFER_NEURON_CTX_BUCKETS: the model runner sets the step's context limit to the smallest bucket that holds every sequence, and the dense kv_ca_index / indexer logits are sized to it instead of max_model_len (one more set of attention graphs a bucket). Prefill cost scaled with the limit: a 128-token chunk ~9 s at 16384 against ~5.3 s at 4352. Host tiny check: same tokens as without buckets up to near ties. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>		2026-10-23 20:08:17 +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: context-length buckets for dense compressed-KV scopes and indexer logits (#29)	2026-10-23 20:08:17 +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: full DeepSeek-V4.1-Flash load + decode region graphs at EP=64 (issues #21, #25)	2026-10-23 01:39:22 +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