Closed XinDongol closed 4 years ago
Any Update?
It is set here https://github.com/SsnL/dataset-distillation/blob/24e6958cf23bc98de20a7b2714fc76fa7d38b874/base_options.py#L444
It means the number of training models in a single rank of distributed training. In case of no distributed training, it equals the total number of training models.
With known_init
, n_nets
controls the number of known initializations, i.e., whether you want to overfit for one model, or for multiple models.
state.local_n_nets
is used without definition. What's the meaning of it?If
train_nets_type=='known_init'
, why we want to build several networks with different initialization?https://github.com/SsnL/dataset-distillation/blob/24e6958cf23bc98de20a7b2714fc76fa7d38b874/main.py#L90-L91
Thanks a lot!