Update solvers (#434)

* Enable DDP training with batch_size=None and add validity check for split sizes
* Refactoring SolverInterfaces (#435)
* Solver update + weighting
* Updating PINN for 0.2
* Modify GAROM + tests
* Adding more versatile loggers
* Disable compilation when running on Windows
* Fix tests

---------

Co-authored-by: giovanni <giovanni.canali98@yahoo.it>
Co-authored-by: FilippoOlivo <filippo@filippoolivo.com>
This commit is contained in:
Dario Coscia
2025-02-17 11:26:21 +01:00
committed by Nicola Demo
parent 780c4921eb
commit 9cae9a438f
50 changed files with 2848 additions and 4187 deletions

View File

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""" Module for Loss Interface """
from abc import ABCMeta, abstractmethod
class WeightingInterface(metaclass=ABCMeta):
"""
The ``weightingInterface`` class. TODO
"""
def __init__(self):
self.condition_names = None
@abstractmethod
def aggregate(self, losses):
"""
Aggregate the losses.
:param dict(torch.Tensor) input: The dictionary of losses.
:return: The losses aggregation. It should be a scalar Tensor.
:rtype: torch.Tensor
"""
pass