ViperEkura 849e1e00a3 refactor: clean up inference design patterns ... 1. KVCache base: add default task_cached/task_record_hashes, remove getattr from scheduler 2. Remove page_size param from scheduler constructor (ContiguousCache-only) 3. InferenceEngine expose cache param for KVCache injection 4. Rename page_cache -> kv_cache in Executor 5. Move stream_callback from Task to TaskManager._callbacks dict 6. TaskManager.clear_queues clears callbacks		2026-07-05 11:41:54 +08:00
..
config	fix : SFT pipeline position_ids default & doc boundary preservation	2026-07-04 15:59:11 +08:00
dataset	feat: add JSONL dataset store with on-the-fly tokenization	2026-07-04 15:42:33 +08:00
inference	refactor: clean up inference design patterns	2026-07-05 11:41:54 +08:00
model	perf: replace paged KV cache with contiguous ContiguousCache, decode all groups	2026-07-05 11:34:36 +08:00
parallel	refactor : grad_norm 指标简化，clip_grad_norm 移至 executor	2026-06-30 14:59:43 +08:00
preprocessing	fix : SFT pipeline position_ids default & doc boundary preservation	2026-07-04 15:59:11 +08:00
serialization	feat: add JSONL dataset store with on-the-fly tokenization	2026-07-04 15:42:33 +08:00
tokenize	refactor : Pipeline 去除去重，ids 重命名为 sequence，泛型透传	2026-05-31 15:14:27 +08:00
trainer	fix: scheduler division-by-zero, loss_mask bool	2026-07-03 22:04:55 +08:00
__init__.py	chore : 升级 torch 2.11.0+cu128，移除自定义 Muon，修复 gloo device_id	2026-06-27 16:10:37 +08:00
factory.py	fix: ForwardRef._evaluate Python 3.12 compatibility	2026-07-03 18:41:19 +08:00
protocols.py	refactor: 重构训练后端为 Executor 模式	2026-05-24 20:35:44 +08:00