Sets the learning rate of each parameter group to the initial lr times a given function. When last_epoch=-1, sets initial lr as lr.
Sets the learning rate of each parameter group to the initial lr times a given function. When last_epoch=-1, sets initial lr as lr.
lr_lambda(optimizer, lr_lambda, last_epoch = -1, verbose = FALSE)
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 |
if (torch_is_installed()) {
# Assuming optimizer has two groups.
lambda1 <- function(epoch) epoch %/% 30
lambda2 <- function(epoch) 0.95^epoch
## Not run:
scheduler <- lr_lambda(optimizer, lr_lambda = list(lambda1, lambda2))
for (epoch in 1:100) {
train(...)
validate(...)
scheduler$step()
}
## End(Not run)
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