> python -m torch.distributed.launch --nproc_per_node=8 --master_port=4321 basicsr/train.py -opt options/train/StyleGAN/train_StyleGAN2_256_Cmul2_FFHQ_800k.yml --launcher pytorch ## How to test StyleGAN2 1. Test: 1. Download pre-trained models from [ModelZoo](https://drive.google....
30 + eps (tuple[float, float]): regularization constants for square gradient 31 + and parameter scale respectively (default: (1e-30, 1e-3)) 32 + clip_threshold (float): threshold of root mean square of final gradient update (default: 1.0) 33 + decay_rate (float): coefficient use...
parser.add_argument('--l2', type=float, default=1e-4, metavar='L2', help='L2 regularization weight') parser.add_argument('--dropout', type=float, default=0.4, metavar='dropout', help='dropout rate') parser.add_argument('--patience', type=int, default=10, metavar='patience', help=...
In the case of multi-GPU training, wrap your model using the DataParallel or DistributedDataParallel PyTorch classes as usual. In the case of the distributed setting, call the compression_ctrl.distributed() method after that as well. Call the compression_ctrl.initialize(data_loader) method before...