In a typical workflow, you should launch distributed environment at the beginning of training script and create objects needed (such as models, optimizers, loss function, data loaders etc.) firstly, then call `colossalai.booster` to inject features into these objects, After that, you can use our booster APIs and these returned objects to continue the rest of your training processes.