Fix bugs (#385)

pina/label_tensor.py

@@ -4,7 +4,7 @@
 from torch import Tensor
 
 
-full_labels = True
+full_labels = False
 MATH_FUNCTIONS = {torch.sin, torch.cos}
 
 class LabelTensor(torch.Tensor):

pina/solvers/__init__.py

@@ -16,4 +16,3 @@
 from .supervised import SupervisedSolver
 from .rom import ReducedOrderModelSolver
 from .garom import GAROM
-from .graph import GraphSupervisedSolver

pina/solvers/pinns/basepinn.py

@@ -3,12 +3,10 @@
 from abc import ABCMeta, abstractmethod
 import torch
 from torch.nn.modules.loss import _Loss
-from ...condition import InputOutputPointsCondition
 from ...solvers.solver import SolverInterface
 from ...utils import check_consistency
 from ...loss.loss_interface import LossInterface
 from ...problem import InverseProblem
-from ...condition import DomainEquationCondition
 from ...optim import TorchOptimizer, TorchScheduler
 
 torch.pi = torch.acos(torch.zeros(1)).item() * 2  # which is 3.1415927410125732
@@ -26,8 +24,7 @@ class PINNInterface(SolverInterface, metaclass=ABCMeta):
     to the user to choose which problem the implemented solver inheriting from
     this class is suitable for.
     """
-    accepted_condition_types = [DomainEquationCondition.condition_type[0],
-                                InputOutputPointsCondition.condition_type[0]]
+
     def __init__(
             self,
             models,

pina/solvers/pinns/pinn.py

@@ -11,7 +11,7 @@
 
 
 from .basepinn import PINNInterface
-from pina.problem import InverseProblem
+from ...problem import InverseProblem
 
 
 class PINN(PINNInterface):

pina/solvers/solver.py

@@ -134,16 +134,18 @@ def on_train_start(self):
         return super().on_train_start()
 
     def _check_solver_consistency(self, problem):
-        """
-        TODO
-        """
+        pass
+        #TODO : Implement this method for the conditions
+        '''
+        
+    
         for _, condition in problem.conditions.items():
             if not set(condition.condition_type).issubset(
                     set(self.accepted_condition_types)):
                 raise ValueError(
                     f'{self.__name__} dose not support condition '
                     f'{condition.condition_type}')
-
+        '''
     @staticmethod
     def get_batch_size(batch):
         # Assuming batch is your custom Batch object

pina/solvers/supervised.py

@@ -7,7 +7,6 @@
 from ..label_tensor import LabelTensor
 from ..utils import check_consistency
 from ..loss.loss_interface import LossInterface
-from ..condition import InputOutputPointsCondition
 
 
 class SupervisedSolver(SolverInterface):
@@ -38,7 +37,6 @@ class SupervisedSolver(SolverInterface):
     we are seeking to approximate multiple (discretised) functions given
     multiple (discretised) input functions.
     """
-    accepted_condition_types = [InputOutputPointsCondition.condition_type[0]]
     __name__ = 'SupervisedSolver'
 
     def __init__(self,

pina/trainer.py

@@ -1,5 +1,4 @@
 """ Trainer module. """
-import warnings
 import torch
 import lightning
 from .utils import check_consistency