.. _SequentialLR:

SequentialLR
=============

class ``modelzoo.common.pytorch.optim.lr_scheduler.SequentialLR`` (optimizer, *args, **kwargs)

Receives the list of schedulers that is expected to be called sequentially during optimization process and milestone points that provides exact intervals to reflect which scheduler is supposed to be called at a given step. This class is a wrapper around https://pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.SequentialLR.html#torch.optim.lr_scheduler.SequentialLR

Parameters:
  **optimizer** – Wrapped optimizer

  **schedulers** (list) – List of chained schedulers

  **milestones** (list) – List of integers that reflects milestone points

  **last_epoch** (int) – The index of last epoch. Default: ``-1``

``load_state_dict`` (state_dict: dict)
--------------------------------------

Loads the schedulers state.

Parameters:
  **state_dict** (dict) – scheduler state. Should be an object returned from a call to ``state_dict()``.