mirror of
https://github.com/immich-app/immich.git
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0c4df216d7
* update e2e * tokenizer tests * more tests, remove unnecessary code * fix e2e setting * add tests for loading model * update workflow * fixed test
83 lines
2.7 KiB
Python
83 lines
2.7 KiB
Python
from typing import Any
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from aiocache.backends.memory import SimpleMemoryCache
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from aiocache.lock import OptimisticLock
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from aiocache.plugins import BasePlugin, TimingPlugin
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from app.models import from_model_type
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from ..schemas import ModelType, has_profiling
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from .base import InferenceModel
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class ModelCache:
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"""Fetches a model from an in-memory cache, instantiating it if it's missing."""
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def __init__(
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self,
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ttl: float | None = None,
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revalidate: bool = False,
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timeout: int | None = None,
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profiling: bool = False,
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) -> None:
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"""
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Args:
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ttl: Unloads model after this duration. Disabled if None. Defaults to None.
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revalidate: Resets TTL on cache hit. Useful to keep models in memory while active. Defaults to False.
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timeout: Maximum allowed time for model to load. Disabled if None. Defaults to None.
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profiling: Collects metrics for cache operations, adding slight overhead. Defaults to False.
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"""
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self.ttl = ttl
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plugins = []
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if revalidate:
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plugins.append(RevalidationPlugin())
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if profiling:
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plugins.append(TimingPlugin())
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self.cache = SimpleMemoryCache(ttl=ttl, timeout=timeout, plugins=plugins, namespace=None)
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async def get(self, model_name: str, model_type: ModelType, **model_kwargs: Any) -> InferenceModel:
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"""
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Args:
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model_name: Name of model in the model hub used for the task.
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model_type: Model type or task, which determines which model zoo is used.
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Returns:
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model: The requested model.
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"""
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key = f"{model_name}{model_type.value}{model_kwargs.get('mode', '')}"
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async with OptimisticLock(self.cache, key) as lock:
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model: InferenceModel | None = await self.cache.get(key)
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if model is None:
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model = from_model_type(model_type, model_name, **model_kwargs)
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await lock.cas(model, ttl=self.ttl)
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return model
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async def get_profiling(self) -> dict[str, float] | None:
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if not has_profiling(self.cache):
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return None
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return self.cache.profiling
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class RevalidationPlugin(BasePlugin): # type: ignore[misc]
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"""Revalidates cache item's TTL after cache hit."""
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async def post_get(
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self,
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client: SimpleMemoryCache,
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key: str,
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ret: Any | None = None,
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namespace: str | None = None,
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**kwargs: Any,
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) -> None:
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if ret is None:
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return
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if namespace is not None:
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key = client.build_key(key, namespace)
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if key in client._handlers:
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await client.expire(key, client.ttl)
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