John Pollock 9250191c65 feat(isolation): DynamicVRAM compatibility for process isolation ... DynamicVRAM's on-demand model loading/offloading conflicted with process isolation in three ways: RPC tensor transport stalls from mid-call GPU offload, race conditions between model lifecycle and active RPC operations, and false positive memory leak detection from changed finalizer patterns. - Marshal CUDA tensors to CPU before RPC transport for dynamic models - Add operation state tracking + quiescence waits at workflow boundaries - Distinguish proxy reference release from actual leaks in cleanup_models_gc - Fix init order: DynamicVRAM must initialize before isolation proxies - Add RPC timeouts to prevent indefinite hangs on model unavailability - Prevent proxy-of-proxy chains from DynamicVRAM model reload cycles - Add torch.device/torch.dtype serializers for new DynamicVRAM RPC paths - Guard isolation overhead so non-isolated workflows are unaffected - Migrate env var to PYISOLATE_CHILD		2026-03-04 23:48:02 -06:00
..
deis.py	Lint all unused variables (#5989)	2024-12-12 17:59:16 -05:00
sa_solver.py	Add SA-Solver sampler (#8834)	2025-07-08 16:17:06 -04:00
sampling.py	feat(isolation): DynamicVRAM compatibility for process isolation	2026-03-04 23:48:02 -06:00
utils.py	Remove useless code.	2023-06-13 02:40:58 -04:00