(self, model, optimizer, com)
| 12 | |
| 13 | class CoModule(object): |
| 14 | def __init__(self, model, optimizer, com): |
| 15 | self.mae_loss_scaler = NativeScaler() |
| 16 | self.model = model |
| 17 | self.optimizer = optimizer |
| 18 | self.scheduler = None |
| 19 | if com=="late" or com=="vqvae": |
| 20 | self.scheduler = torch.optim.lr_scheduler.MultiStepLR( |
| 21 | optimizer, milestones=[50, 100, 150, 200], gamma=0.5 |
| 22 | ) |
| 23 | |
| 24 | def resume_from_cpu(self, checkpoint, device, trainable=True): |
| 25 | """ |
nothing calls this directly
no outgoing calls
no test coverage detected