Comments (1)
LeeMonkey
commented on July 18, 2024
5
optimizer = optim.SGD(model.parameters(), lr=lr, momentum=0.9, nesterov=True, weight_decay=0.0001) scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, max_epoch, eta_min=0, last_epoch=-1) scheduler_warmup = GradualWarmupScheduler(optimizer, multiplier=8, total_epoch=5, after_scheduler=scheduler)
AttributeError: 'CosineAnnealingLR' object has no attribute 'get_last_lr'
you can check if the StepLR or COS has get_last_lr function by "hasattr()", if not, replace “.get_last_lr()” to “[group['lr'] for group in self.optimizer.param_groups]”。refer:here line 97 and line 153
from pytorch-gradual-warmup-lr.
Related Issues (18)
- why i got this error, when the warmup epoches ends. HOT 3
- when i use your readme code ,it has a bug???? HOT 1
- LR not work when pytorch version under 1.2.0
- What is the meaning of base_lrs? HOT 1
- Math is wrong for multiplier=1 HOT 1
- `warmup_lr` is computed incorrectly in `step_ReduceLROnPlateau` HOT 8
- When to call scheduler.step? HOT 1
- Set Starting learning rate HOT 1
- multiplier works weird HOT 2
- Target optimizer not set properly when loading from state dict
- WARNING: Did not find branch or tag '08f7d5e', assuming revision or ref
- Question of run.py
- Usage mandatory metric HOT 5
- why multiplier must be greater than 1.0? HOT 1
- It seems you got one learning rate per epoch. HOT 2
- the initial lr value is higher than target lr value HOT 2
- optimizer.step() and lr_scheduler.step() HOT 3
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from pytorch-gradual-warmup-lr.