caching

Description

Base classes and implementations of cache handles. The common base class is Cache.

Cache types provided:

- :py:class:`DictCache`: An in-memory cache
- :py:class:`FileCache`: Base class for file system caches
- Combined caches:

• CacheCascade: A chain map for caches with different sync modes

• CacheTuple: Have each entry of a tuple handled by a separate cache, but with shared descriptor key

Classes

Cache	Caching base handle.
CacheCascade	Combine several caches by trying to load from first to last.
CacheDict	Cache the values of dicts using different caches.
CacheTuple	Cache the values of tuples using different caches.
DictCache	Cache objects in a (multiprocessing capable) dictionary in memory.
FileCache	Base class to cache objects as files under a cache folder.
JPGCache	Cache for JPEG images using PIL.
NPYCache	File cache that uses numpy saving and loading mechanism to cache torch.Tensor objects.
NPZCache	File cache that uses numpy compressed saving and loading mechanism to cache torch.Tensor objects.
NoCache	Dummy cache that has no effect.
PTCache	File cache that uses torch saving and loading mechanism.
TensorDictCache	In-memory cache specifically for torch tensors.