refactor : 移除 -> None 返回值标注,拆分 FSDP 参数,新增 mmap 数据集存储

- 删除所有 def 函数 -> None 返回值类型标注
- FSDPExecutor 参数从 **kwargs 拆为显式声明,None 值自动过滤
- 新增 MmapStorage (bin) 存储后端,基于 numpy.memmap 零拷贝加载
- 新增 save_bin/load_bin/json_to_bin 工具函数
- detect_format 支持 bin 格式自动检测
This commit is contained in:
2026-05-28 13:57:06 +08:00
parent 2d5dc93b3d
commit cb8dcb97ea
14 changed files with 142 additions and 48 deletions
+4 -4
View File
@@ -75,14 +75,14 @@ class InferenceScheduler:
def add_task(self, prompt: str, **kwargs) -> str:
return self._task_mgr.add_task(prompt, **kwargs)
def remove_task(self, task_id: str) -> None:
def remove_task(self, task_id: str):
for task in self._task_mgr.remove_task(task_id):
self._page_cache.task_free(task.task_id)
def get_stats(self) -> Dict[str, Any]:
return self._task_mgr.get_stats()
def _run_generation_loop(self) -> None:
def _run_generation_loop(self):
stop_ids = self._task_mgr.tokenizer.stop_ids
try:
while self._running:
@@ -186,14 +186,14 @@ class InferenceScheduler:
self._task_mgr.clear_queues()
raise
def start(self) -> None:
def start(self):
if not self._running:
self._running = True
t = threading.Thread(target=self._run_generation_loop, daemon=True)
t.start()
self._loop_thread = t
def stop(self) -> None:
def stop(self):
self._running = False
self._task_mgr.wake()
if hasattr(self, "_loop_thread"):