Source code for pina.optim.torch_optimizer
"""Module for the PINA Torch Optimizer"""
import torch
from ..utils import check_consistency
from .optimizer_interface import Optimizer
[docs]
class TorchOptimizer(Optimizer):
"""
A wrapper class for using PyTorch optimizers.
"""
def __init__(self, optimizer_class, **kwargs):
"""
Initialization of the :class:`TorchOptimizer` class.
:param torch.optim.Optimizer optimizer_class: A
:class:`torch.optim.Optimizer` class.
:param dict kwargs: Additional parameters passed to ``optimizer_class``,
see more
`here <https://pytorch.org/docs/stable/optim.html#algorithms>`_.
"""
check_consistency(optimizer_class, torch.optim.Optimizer, subclass=True)
self.optimizer_class = optimizer_class
self.kwargs = kwargs
self._optimizer_instance = None
[docs]
def hook(self, parameters):
"""
Initialize the optimizer instance with the given parameters.
:param dict parameters: The parameters of the model to be optimized.
"""
self._optimizer_instance = self.optimizer_class(
parameters, **self.kwargs
)
@property
def instance(self):
"""
Get the optimizer instance.
:return: The optimizer instance.
:rtype: torch.optim.Optimizer
"""
return self._optimizer_instance