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MultiplicativeLR
class torch.optim.lr_scheduler.MultiplicativeLR(optimizer, lr_lambda, last_epoch=-1, verbose=False)
[source]-
Multiply the learning rate of each parameter group by the factor given in the specified function. When last_epoch=-1, sets initial lr as lr.
- Parameters
-
- optimizer (Optimizer) – Wrapped optimizer.
- lr_lambda (function or list) – A function which computes a multiplicative factor given an integer parameter epoch, or a list of such functions, one for each group in optimizer.param_groups.
- last_epoch (int) – The index of last epoch. Default: -1.
- verbose (bool) – If
True
, prints a message to stdout for each update. Default:False
.
Example
>>> lmbda = lambda epoch: 0.95 >>> scheduler = MultiplicativeLR(optimizer, lr_lambda=lmbda) >>> for epoch in range(100): >>> train(...) >>> validate(...) >>> scheduler.step()
get_last_lr()
-
Return last computed learning rate by current scheduler.
load_state_dict(state_dict)
[source]-
Loads the schedulers state.
- Parameters
-
state_dict (dict) – scheduler state. Should be an object returned from a call to
state_dict()
.
print_lr(is_verbose, group, lr, epoch=None)
-
Display the current learning rate.
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https://pytorch.org/docs/2.1/generated/torch.optim.lr_scheduler.MultiplicativeLR.html