o áÙ·ifã@s<dZddlmZddlmZmZmZddlmZgd¢Z dS)aƒ Cache module for diffusion model inference acceleration. This module provides a unified cache backend system for different caching strategies: - TeaCache: Timestep Embedding Aware Cache for adaptive transformer caching - cache-dit: DBCache, SCM, and TaylorSeer caching strategies Cache backends are instantiated directly via their constructors and configured via OmniDiffusionConfig. é)Ú CacheBackend)Ú CacheContextÚTeaCacheConfigÚapply_teacache_hook)ÚTeaCacheBackend)rrrrrN) Ú__doc__Úvllm_omni.diffusion.cache.baserÚ"vllm_omni.diffusion.cache.teacacherrrÚ*vllm_omni.diffusion.cache.teacache.backendrÚ__all__©r r úV/home/ubuntu/.local/lib/python3.10/site-packages/vllm_omni/diffusion/cache/__init__.pyÚs