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A deep learning, cross platform ML framework
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torch.optim.lr_scheduler.ExponentialLR Class Reference
Inheritance diagram for torch.optim.lr_scheduler.ExponentialLR:

Public Member Functions

def __init__ (self, optimizer, gamma, last_epoch=-1)
def get_lr (self)
- Public Member Functions inherited from torch.optim.lr_scheduler._LRScheduler
def __init__ (self, optimizer, last_epoch=-1)
def state_dict (self)
def load_state_dict (self, state_dict)
def get_lr (self)
def step (self, epoch=None)

Public Attributes

- Public Attributes inherited from torch.optim.lr_scheduler._LRScheduler

Detailed Description

Decays the learning rate of each parameter group by gamma every epoch.
When last_epoch=-1, sets initial lr as lr.

    optimizer (Optimizer): Wrapped optimizer.
    gamma (float): Multiplicative factor of learning rate decay.
    last_epoch (int): The index of last epoch. Default: -1.

Definition at line 201 of file

The documentation for this class was generated from the following file: