fix compile issue (#627)

pina/solver/physics_informed_solver/pinn_interface.py

@@ -1,8 +1,10 @@
 """Module for the Physics-Informed Neural Network Interface."""
 
 from abc import ABCMeta, abstractmethod
+import warnings
 import torch
 
+from ...utils import custom_warning_format
 from ..supervised_solver import SupervisedSolverInterface
 from ...condition import (
     InputTargetCondition,
@@ -10,6 +12,10 @@ from ...condition import (
     DomainEquationCondition,
 )
 
+# set the warning for torch >= 2.8 compile
+warnings.formatwarning = custom_warning_format
+warnings.filterwarnings("always", category=UserWarning)
+
 
 class PINNInterface(SupervisedSolverInterface, metaclass=ABCMeta):
     """
@@ -46,6 +52,36 @@ class PINNInterface(SupervisedSolverInterface, metaclass=ABCMeta):
         # current condition name
         self.__metric = None
 
+    def setup(self, stage):
+        """
+        Setup method executed at the beginning of training and testing.
+
+        This method compiles the model only if the installed torch version
+        is earlier than 2.8, due to known issues with later versions
+        (see https://github.com/mathLab/PINA/issues/621).
+
+        .. warning::
+            For torch >= 2.8, compilation is disabled. Forcing compilation
+            on these versions may cause runtime errors or unstable behavior.
+
+        :param str stage: The current stage of the training process
+            (e.g., ``fit``, ``validate``, ``test``, ``predict``).
+        :return: The result of the parent class ``setup`` method.
+        :rtype: Any
+        """
+        # Override the compilation, compiling only for torch < 2.8, see
+        # related issue at https://github.com/mathLab/PINA/issues/621
+        if torch.__version__ < "2.8":
+            self.trainer.compile = True
+        else:
+            self.trainer.compile = False
+            warnings.warn(
+                "Compilation is disabled for torch >= 2.8. "
+                "Forcing compilation may cause runtime errors or instability.",
+                UserWarning,
+            )
+        return super().setup(stage)
+
     def optimization_cycle(self, batch, loss_residuals=None):
         """
         The optimization cycle for the PINN solver.