2 Commits

Include renames

Author	SHA1	Message	Date
luojiyin	895d637300	perf(engine): reuse neural forward buffers ... Reuse temporary vectors across Transformer blocks within one forward call. The keyboard model uses 76 allocations per scoring call, down from 135. The desktop model uses 76 allocations per scoring call, down from 157. Scores match the original implementation for both models.	2026-10-03 21:35:12 +08:00
fanlusky	e7f7addd4f	feat(engine): 神经网络整句联想与词格 n-best 重排 ... - 新增 engine/neural：移植 chinese-ime-lm 的字符级 Transformer 推理，在词格解出的最多 12 条 n-best 里重排挑选整句，desktop / keyboard 两档模型各出一条首选，后台 worker 异步打分 - 词格支持 n-best 输出与重排（quanpin/lattice_rerank），全拼、双拼共用 - 新增 SentenceAssociationOptions，经 QueryRequest 传给各 provider；四个来源默认全关 - 资源契约登记两个 safetensors 与 NOTICE；模型二进制不进仓库，由 scripts/fetch-neural-model.ps1 按 neural-model/lock.json 下载并校验 SHA256 - 新增 neural_sentence 测试	2026-09-24 14:03:39 +08:00