.. _InverseExponentialTimeDecayLR:

InverseExponentialTimeDecayLR
=============================

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

Decays the learning rate inverse-exponentially over time, as described in 
https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/schedules/InverseTimeDecay

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

  **initial_learning_rate** – The initial learning rate

  **step_exponent** – Exponential value

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

  **decay_rate** – The decay rate

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