FastAPICache.init(InMemoryBackend(), prefix="fastapi-cache") 缓存路由响应 使用@cache装饰器缓存特定路由的响应,设置过期时间(单位:秒): from fastapi_cache.decoratorimport cache @app.get("/users/{user_id}") @cache(expire=60*5)# 缓存5分钟 asyncdefget_user(user_id: int): # 模拟数据库查询(例...
以下是一个使用fastapi-cache库进行缓存的示例代码: python from fastapi import FastAPI from fastapi_cache import FastAPICache from fastapi_cache.backends.inmemory import InMemoryBackend app = FastAPI() # 初始化缓存 FastAPICache.init(InMemoryBackend()) @app.get("/items/{item_id}") async def read...
在发现问题出在卷积层后,找到了这个issue:Memory leak in Conv1d,就是这个!这个issue在23年9月提出&&解决了,但是看样子服务器上的pytorch并没有实装这个fix,但是一个回复中提到了一个解决方案: When our validation team tried to reproduce it on CPU, all the to('cuda') has been changed to to('cpu')...
Memory Previous steps before starting In most cases, you probably won't want to use any base image, and insteadbuild a container image from scratchbased on the official Python Docker image. Taking care of theorderof instructions in theDockerfileand theDocker cacheyou canminimize build times, to...
pip install langchain vllm gptcache modelscope pip install transformers==4.32.0 accelerate tiktoken einops scipy transformers_stream_generator==0.0.4 peft deepspeed 如果使用的是Int4版本的模型,还需要额外安装如下依赖项: pip install auto-gptq optimum ...
Redis采用内存(In-Memory)数据集(DataSet) 。 支持多种数据类型。如:string、list、set、zset(sorted set)、hash。 运行于大多数POSIX系统,如Linux、*BSD、OS X等。 1.2 软件获取和帮助 官方网站:https://redis.io 官方各版本下载地址:http://download.redis.io/releases/ ...
我在FastAPI中使用环境变量,但是在使用uvicorn main:app --reload运行服务器时,我得到了一个"ModuleNotFoundError“错误 File "/home/user/.cache/pypoetry/virtualenvs/fastapi-alembic-Q2iwjFE4-py3.9/lib/python3.9> 浏览7提问于2022-03-09得票数 1 ...
报错如下： 图片 解决方法： 添加 --no-cache-dir参数 pip3 --no-cache-dir install -r *** ...
TheInMemoryBackendstores cache data in memory and only deletes when an expired key is accessed. This means that if you don't access a function after data has been cached, the data will not be removed automatically. RedisBackend When using the Redis backend, please make sure you pass in a...
version = "3.4" description = "Internationalized Domain Names in Applications (IDNA)" category = "main" optional = false python-versions = ">=3.5"[[package]] name = "importlib-metadata" version = "4.2.0" description = "Read metadata from Python packages" category = "main" ...