.. _ExponentialLR:

ExponentialLR
=============

class ``modelzoo.common.pytorch.optim.lr_scheduler.ExponentialLR`` (optimizer: torch.optim.optimizer.Optimizer, initial_learning_rate: float, decay_steps: int, decay_rate: float, staircase: bool = False, disable_lr_steps_reset: bool = False)

Decays the learning rate of each parameter group by ``decay_rate`` every step.

Similar to https://pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.ExponentialLR.html#torch.optim.lr_scheduler.ExponentialLR

Parameters:
  **optimizer** – The optimizer to schedule

  **initial_learning_rate** – The initial learning rate

  **decay_steps** – Number of steps to perform the decay

  **decay_rate** – The decay rate

  **staircase** – If True, decay the learning rate at discrete intervals