Files
pytorch/torch/_VF.py
Aaron Orenstein 7239b8a4f1 Clean up RemoteCache classes (#134032)
Summary:
The existing RemoteCacheBackend classes were a bit haphazard - some of them accepted bytes only, some accepted objects, some returned different types of objects than were passed in.

Update them to be more consistent:

1. RemoteCacheBackend is an implementation of a backend: Redis, Memcache, Manifold, LocalFile

2. RemoteCacheSerde is an implementation of a serde protocol - to turn structured objects (dict, list, etc) into bytes: RemoteCacheJsonSerde (json encoding), RemoteCachePassthroughSerde (strictly bytes only)

3. RemoteCache is the cache implementation itself, mixing a RemoteCacheBackend along with an RemoteCacheSerde to provide structured caching.

Other than simply reorganizing the existing cache code this also fixes the Redis autotune caching for OSS.

Test Plan: unit tests

Reviewed By: oulgen

Differential Revision: D61178859

Pull Request resolved: https://github.com/pytorch/pytorch/pull/134032
Approved by: https://github.com/oulgen, https://github.com/bhack
2024-08-31 20:18:59 +00:00

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Python

"""
This makes the functions in torch._C._VariableFunctions available as
torch._VF.<funcname>
without mypy being able to find them.
A subset of those functions are mapped to ATen functions in
torch/jit/_builtins.py
See https://github.com/pytorch/pytorch/issues/21478 for the reason for
introducing torch._VF
"""
import sys
import types
import torch
class VFModule(types.ModuleType):
vf: types.ModuleType
def __init__(self, name: str):
super().__init__(name)
self.vf = torch._C._VariableFunctions
def __getattr__(self, name: str) -> object:
return getattr(self.vf, name)
sys.modules[__name__] = VFModule(__name__)