Source code for pina.optim.torch_scheduler
"""Module for the PINA Torch Optimizer"""
try:
from torch.optim.lr_scheduler import LRScheduler # torch >= 2.0
except ImportError:
from torch.optim.lr_scheduler import (
_LRScheduler as LRScheduler,
) # torch < 2.0
from ..utils import check_consistency
from .optimizer_interface import Optimizer
from .scheduler_interface import Scheduler
[docs]
class TorchScheduler(Scheduler):
"""
A wrapper class for using PyTorch schedulers.
"""
def __init__(self, scheduler_class, **kwargs):
"""
Initialization of the :class:`TorchScheduler` class.
:param torch.optim.LRScheduler scheduler_class: A
:class:`torch.optim.LRScheduler` class.
:param dict kwargs: Additional parameters passed to ``scheduler_class``,
see more
`here <https://pytorch.org/docs/stable/optim.html#algorithms>_`.
"""
check_consistency(scheduler_class, LRScheduler, subclass=True)
self.scheduler_class = scheduler_class
self.kwargs = kwargs
self._scheduler_instance = None
[docs]
def hook(self, optimizer):
"""
Initialize the scheduler instance with the given parameters.
:param dict parameters: The parameters of the optimizer.
"""
check_consistency(optimizer, Optimizer)
self._scheduler_instance = self.scheduler_class(
optimizer.instance, **self.kwargs
)
@property
def instance(self):
"""
Get the scheduler instance.
:return: The scheduelr instance.
:rtype: torch.optim.LRScheduler
"""
return self._scheduler_instance