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.

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.

Usage

lr_multiplicative(optimizer, lr_lambda, last_epoch = -1, verbose = FALSE)

Arguments

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.

Examples

if (torch_is_installed()) {
if (FALSE) {
lmbda <- function(epoch) 0.95
scheduler <- lr_multiplicative(optimizer, lr_lambda = lmbda)
for (epoch in 1:100) {
  train(...)
  validate(...)
  scheduler$step()
}
}

}