How to select options shown in Table2 for training VP/VE models

[MingyuKim87]

• This Table 2 indicates ablation study of training components for VP/VE models in terms of performance.
• In this table, we can choose several training configuration such as Adjust hyper parameter, Redistributed capacity, Our preconditioning, Our loss function and Non-leaky augmentation.
• However, looking at train.py, this code provides prefix options as follows.
  

My questions is how to choose the Adjust hyper parameter, Redistributed capacity, Our preconditioning and Our loss function options by using prefix options in train.py.

[Zyriix]

just adjust the arch.
ddpmpp for vp
ncsnpp for ve.