wandb本地部署

pip install --upgrade wandb

wandb server start

（如果失败了）

docker pull wandb/local:latest

启动

docker run --rm -d -v wandb:/vol -p 8080:8080 --name wandb-local wandb/local:latest

打开http://localhost:8080/signup （有可能失败，就关了docker再开一次）

拿licence
https://deploy.wandb.ai/
有就复制，没有就创建

如果你的过期了license过期了，可以发邮件给contact@wandb.com

可以参考这个

然后在update lincense里复制进去
再点update

点update settings

此时就可以http://localhost:8080/home

登录

wandb login --relogin --host=http://localhost:8080

http://localhost:8080/authorize
这里找到key

跑个案例

import wandb
import random

# start a new wandb run to track this script
wandb.init(
    # set the wandb project where this run will be logged
    project="my-awesome-project",

    # track hyperparameters and run metadata
    config={
    "learning_rate": 0.02,
    "architecture": "CNN",
    "dataset": "CIFAR-100",
    "epochs": 10,
    }
)

# simulate training
epochs = 10
offset = random.random() / 5
for epoch in range(2, epochs):
    acc = 1 - 2 ** -epoch - random.random() / epoch - offset
    loss = 2 ** -epoch + random.random() / epoch + offset

    # log metrics to wandb
    wandb.log({"acc": acc, "loss": loss})

# [optional] finish the wandb run, necessary in notebooks
wandb.finish()

参考：
https://docs.wandb.ai/guides/hosting/self-managed/basic-setup