lr_multiplicative function

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.

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()) { ## Not run: lmbda <- function(epoch) 0.95 scheduler <- lr_multiplicative(optimizer, lr_lambda = lmbda) for (epoch in 1:100) { train(...) validate(...) scheduler$step() } ## End(Not run) }
  • Maintainer: Daniel Falbel
  • License: MIT + file LICENSE
  • Last published: 2025-02-14