[Feature] LISA multi GPU support

[wheresmyhair]

Description

LISA now supports multi GPU.
Key points:

1. When initialize models, ds will wrap all model params with optimizer, which uses huge amount of gpu mem. However, according to LISA's logic, we do not need to wrap all params with optim, since only activated layers will be updated. So we hack the initialization such that trainer only wrap one layer at the beginning (to avoid CUDA oom error).
2. Currently cannot save training args when using LISATrainer, as it will raise error when pickling. Model weights can be saved correctly.

[research4pan]

src/lmflow/pipeline/finetuner.py

• [Style] line 423-424, 428, 486: remove print or change them to logger.info.
• [Question] It is highly recommended to add unittest for this script.